Career Development

Today, we constantly learn different programming languages to build websites and applications. It’s also important to not be relegated and remain updated with the latest interventions of the world. Every programming language has its significance and differentiation. It’s wrong to compare one with the other as they all have different characteristics and uses. But all of us would like to learn a machine language that can do multiple tasks. One such language is JavaScript, which has made space in all companies, regardless of whether they are big or small. It is convenient and valuable and can create interactive applications and web pages for customers. Initially, it was a bit limited, but now it is giving competition to some of the most famous languages in the market. Currently, around 95% of the total websites are using JavaScript. According to a survey done in 2020 by StackOverflow Developers, JavaScript was the number one programming language. Let’s look at all the JavaScript offers to a company and why all developers must learn this language. 1. Easy to Learn The problem with programming languages is that they are not accessible. This is the reason why most developers are not able to become experts even after years of experience. But JavaScript is a lot easier than other programming languages. You do not need any prior coding experience to learn this language, as it is extremely beginner friendly. You also do not need any setup as it runs on browsers. 2. Runs on Browser Unlike the other programming languages, you do not need a proper setup to learn JavaScript. It is a default language you will find on the internet. You do not have to spend extra money to create a unique setup or environment to learn this programming language. You only need a web browser accessible in every system and a text editor that can run the program. Also, unlike the other programming languages, you will not have to look further than your browser for proof. All you have to do is simply open and code yeah in your browser, and the code will be interpreted, and you will be able to run the program. 3. Multifunctional Programming Language JavaScript can be used for a variety of purposes. Its use is not limited to only one particular area and is quite versatile. You can use it to solve your most complicated problems and minor tasks for building web applications. After becoming a master of this programming language, you can learn some other extensive frameworks and libraries that can help you to build complex and advanced web interfaces. You will also be able to develop the server side. Part of your application, and you don’t need to learn a new language for the backend part of development. JavaScript is genuinely the one solution for all your problems. You can also develop mobile applications for Android and iOS with the help of JavaScript through React native. In addition, Google and Apple have started using JavaScript to expand their development base. Besides this, you can also use JavaScript for cloud development and desktop applications with the help of Electron JS. 4. Community Support Since JavaScript is a language widely used worldwide, you do not have to do extensive research to find a solution to anything related to programming. You are just a click away from your solution as millions of people use JavaScript, making it a community. Currently, the JavaScript community is one of the most significant communities in the world and provides enormous support to each other. The benefits are not just limited to the support; new add-on tools, experiences, and professional books are also offered to all users through each other. Python is the only competition to the JavaScript community and provides users with the same level of support. 5. Potential Career Prospects Currently, JavaScript is one of the most used programming languages in the world and is in great demand. Everyone wants to integrate JavaScript into their systems, from start-ups to already-established unicorn companies. Learning this language will open a lot of new opportunities. You can also freelance by working from home or joining a good company as a full-time worker. You can find plenty of work opportunities on various job and Internship platforms. In 2019, around 70% of the companies were looking for expert developers in JavaScript. Currently, only 42% of student developers claim to be experts in JavaScript, as compared to the need of 48%. In the USA, with 5 to 10 years of experience in JavaScript, you can earn an average salary of $117,500 per year. Wrapping Up JavaScript is an excellent way of ensuring a stable career for yourself. The need for proficient JavaScript developers is going to increase with time. It is advisable that all the youngsters must learn the skill if they want to add something to their skill set. There is rarely any field left that doesn’t use JavaScript. As a business owner, you will benefit from JavaScript in multiple ways. We must start accepting this programming language as the face of the present and future world of programming language.

Data engineering is the practice of managing large amounts of data efficiently, from storing and processing to analyzing and visualizing. Therefore, data engineers must be well-versed in data structures and algorithms that can help them manage and manipulate data efficiently. This article will explore some of the most important data structures and algorithms that data engineers should be familiar with, including their uses and advantages. Data Structures Relational Databases Relational databases are one of the most common data structures used by data engineers. A relational database consists of a set of tables with defined relationships between them. These tables are used to store structured data, such as customer information, sales data, and product inventory. Relational databases are typically used in transactional systems like e-commerce platforms or banking applications. They are highly scalable, provide data consistency and reliability, and support complex queries. NoSQL Databases NoSQL databases are a type of non-relational database used to store and manage unstructured or semi-structured data. Unlike relational databases, NoSQL databases do not use tables or relationships. Instead, they store data using documents, graphs, or key-value pairs. NoSQL databases are highly scalable and flexible, making them ideal for handling large volumes of unstructured data, such as social media feeds, sensor data, or log files. They are also highly resilient to failures, provide high performance, and are easy to maintain. Data Warehouses Data warehouses are specialized databases designed for storing and processing large amounts of data from multiple sources. Data warehouses are typically used for data analytics and reporting and can help streamline and optimize data processing workflows. Data warehouses are highly scalable, support complex queries, and perform well. They are also highly reliable and support data consolidation and normalization. Distributed File Systems Distributed file systems such as Hadoop Distributed File System (HDFS) are used to store and manage large volumes of data across multiple machines. In addition, these highly scalable file systems provide fault tolerance and support batch processing. Distributed file systems are used to store and process large volumes of unstructured data, such as log files or sensor data. They are also highly resilient to failures and support parallel processing, making them ideal for big data processing. Message Queues Message queues are used to manage the data flow between different components of a data processing pipeline. They help to decouple different parts of the system, improve scalability and fault tolerance, and support asynchronous communication. Message queues are used to implement distributed systems, such as microservices or event-driven architectures. They are highly scalable, support high throughput, and provide resilience to system failures. Algorithms Sorting Algorithms Sorting algorithms are used to arrange data in a specific order. Sorting is an essential operation in data engineering as it can significantly improve the performance of various operations such as search, merge, and join. Sorting algorithms can be classified into two categories: comparison-based sorting algorithms and non-comparison-based sorting algorithms. Comparison-based sorting algorithms such as bubble sort, insertion sort, quicksort, and mergesort compare elements in the data to determine the order. These algorithms have a time complexity of O(n log n) in the average case and O(n^2) in the worst case. Non-comparison-based sorting algorithms such as counting sort, radix sort, and bucket sort do not compare elements to determine the order. As a result, these algorithms have a time complexity of O(n) in the average case and worst case. Sorting algorithms are used in various data engineerings tasks, such as data preprocessing, data cleaning, and data analysis. Searching Algorithms Searching algorithms are used to find specific elements in a dataset. Searching algorithms are essential in data engineering as they enable efficient retrieval of data from large datasets. Searching algorithms can be classified into two categories: linear search and binary search. Linear search is a simple algorithm that checks each element in a dataset until the target element is found. Linear search has a time complexity of O(n) in the worst case. Binary search is a more efficient algorithm that works on sorted datasets. Binary search divides the dataset in half at each step and compares the middle element to the target element. Binary search has a time complexity of O(log n) in the worst case. Searching algorithms are used in various data engineerings tasks such as data retrieval, data querying, and data analysis. Hashing Algorithms Hashing algorithms are used to map data of arbitrary size to fixed-size values. Hashing algorithms are essential in data engineering as they enable efficient data storage and retrieval. Hashing algorithms can be classified into two categories: cryptographic hashing and non-cryptographic hashing. Cryptographic hashing algorithms such as SHA-256 and MD5 are used for secure data storage and transmission. These algorithms produce a fixed-size hash value that is unique to the input data. Therefore, the hash value cannot be reversed to obtain the original input data. Non-cryptographic hashing algorithms such as MurmurHash and CityHash are used for efficient data storage and retrieval. These algorithms produce a fixed-size hash value that is based on the input data. The hash value can be used to quickly search for the input data in a large dataset. Hashing algorithms are used in various data engineerings tasks such as data storage, data retrieval, and data analysis. Graph Algorithms Graph algorithms are used to analyze data that can be represented as a graph. Graphs are used to represent relationships between data elements such as social networks, web pages, and molecules. Graph algorithms can be classified into two categories: traversal algorithms and pathfinding algorithms. Traversal algorithms such as breadth-first search (BFS) and depth-first search (DFS) are used to visit all the nodes in a graph. Traversal algorithms can be used to find connected components, detect cycles, and perform topological sorting. Pathfinding algorithms such as Dijkstra's algorithm and A* algorithm are used to find the shortest path between two nodes in a graph. For example, pathfinding algorithms can be used to find the shortest path in a road network, find the optimal route for a delivery truck, and find the most efficient path for a robot. Data structures and algorithms are essential tools for data engineers, enabling them to build scalable, efficient, and optimized solutions for managing and processing large datasets.

Have you ever been so dramatic in describing your dream job? Earnestly talking about it so that everyone around knows before you say it. For example, "Oh, I am interested in the tech industry," "I would like to give Software Developer a shot," or "Coding is not my thing; I should enroll for the Software Engineer position instead." Well, it's no doubt that everyone has a dream job, whether a 9-5 or a work-at-home kind of job. There's always this picture of the company you would want to work with, how your office would look like, or even the imagination of working with intellectual teammates. While some people will have dreams of owning their own company and being a boss of their own. Nevertheless, it is important to note that before applying for a job or securing one, you must have something to offer regarding your skills and whatnot. This is because having something to offer always comes with something in return, a paycheck. There is more to getting a job than being vocal about it or being a dreamer. Yet, that imagination is an edge that shows whatever you are dreaming about is most likely what you are passionate about. However, there are different requirements needed for the application of a tech job and a technical job. Apart from this, you want to ensure that you are going into an industry that is promising and filled with opportunities for you and your growth. Here in this article, the six fundamental components that you are required to have in the process of securing a tech job, Software Developer, will be discussed. On this note, let's check out those necessary but not compulsory components needed to secure a job. 1. Knowledge of the Job It is quite important to know the job position you are applying for. Unfortunately, a lot of individuals do not research the job description and what is required from them. For instance, if you are applying for a Software Developer position in a company. You should be able to know the functions of a Software Developer in terms of designing, building, and implementing application packages and managing a computer system as well as application software, for the functionality of users. Also, you should be able to answer the following questions as your employer would believe you are aware of the requirements for the job position. They include; Do you have coding expertise? Do you have the ability to pay attention to details, no matter how little? Can you work with a team? How effective are your problem-solving skills? 2. Education Do you know that you don't need a degree for all tech jobs? Oh yes! You can successfully dive into the tech industry without a degree in some particular tech career, like user interface and user experience design, technical writing, data science, product management, etc. However, when it comes to Software Development or being a Software Developer, you must have a degree in Computer science or any related field. Apart from this, you must have gone through several professional certifications, as this would be an added advantage in getting employed alongside your experience. 3. Resume So you do not see the need for a resume? Well, you do need a resume for your job application. A resume is very important in your job search or job application for the software developer role, even though it might be a page or two. It helps you to be precise in your pitch to the employer or company that wants to hire you. One of the most frequently asked questions about the resume is whether to attach a profile picture or not. According to searches on Google, attaching a profile picture to your resume is acceptable in some countries and not acceptable in others. Likewise, in some industries, it could be encouraged, and it might not in some. For example, the fashion or art industry might not necessarily frown at the addition of a profile picture to a resume, because it is an added advantage to the role you are applying for, whether it be a modeling role or a related field. Nonetheless, when it comes to some industries that deal with professionals, such as technology, business, and the like, it is not advisable to attach your profile picture to your resume. The following are pieces of information that your resume should contain if you want to secure a job as a Software Developer; Header and Contact Information Career Objective Work Experience Education Skills (technical and soft skills) and Certification. Additional Relevant Information (volunteer work, hobbies, projects, and so on). Furthermore, ensure that the appropriate information is added to the above-listed subheadings in your resume. 4. Build a Portfolio A portfolio is a collection of your work or project that shows your skills and what you are capable of doing. If you have a portfolio, you can add the link to your resume. Basically, this will serve as extra information about your work and experience; thus, your employer or interviewer can see more detailed information about your expertise and even a profile picture. This, in turn proves your credibility. Note that, unlike the resume, a profile picture serves as a good impression maker. It helps your portfolio to be more personal, so it should be taken in a natural environment, in a welcoming stance. Other works and projects should be added to your portfolio, whether they can be practice projects or projects done for a client. It explains more about what you are capable of doing. 5. Online Presence Nowadays, having a good online presence is just as important as having a properly written resume, before embarking on securing a job, especially a tech job. You see, most companies ask for links to your social media handle during the first stage of the interview. This is to know how credible the information you've given to your employer is. In essence, your online presence is a digital footprint of your life, so whether it be LinkedIn, Facebook, Twitter, or Instagram, have a good profile that is targeted towards what you do, projects you've done for clients, how you did such projects, and the likes. When it is looked at, it will help to increase the decision-making of your employer. 6. Expand Network You have to join industry-specific groups where you get direct access to professionals, conferences, events, and mentorship. You must belong to a community of like-minded people that do what you do or what you aspire to do. In other words, through your network, you can get so many benefits as a techie. First, there is the advantage of getting information about the latest job update from top companies in the industry. Also, the top guys in your network can help vet your work, project, and even your resume in terms of what the hiring manager would look towards. In Conclusion Additionally, you must follow these fundamental components if you want to secure a job as a software developer. Although higher education is not essential for other tech careers, it is a prerequisite for securing a job in the Software Development industry, if you want to be given your dream job of supervising teams of developers or getting other job opportunities. Apart from these, soft skills and hard skills are a must-have as well, and these are the information you should include in your resume.

With hands-on experience in AWS DevOps and Google SRE, I’d like to offer my insights on the comparison of these two systems. Both have proven to be effective in delivering scalable and reliable services for cloud providers. However, improper management can result in non-functional teams and organizations. In this article, I’ll give a brief overview of AWS DevOps and Google SRE, examine when they work best, delve into potential pitfalls to avoid, and provide tips for maximizing the benefits of each. DevOps DevOps is a widely used term with multiple interpretations. In this article, I’ll focus on AWS DevOps, which, according to the AWS blog, merges development and operations teams into a single unit. Under this model, engineers work across the entire application lifecycle, from development to deployment to operations. They possess a wide range of skills rather than being limited to a specific function. As a result, the same engineers who write the code are responsible for running the service, monitoring it, and responding to incidents. In practice, every team may have its own approach, but there is some degree of unification of practices, such as with CI/CD, incident prevention, and blameless post-mortems. Personally, I consider AWS to have the most effective operational culture among all the organizations I’ve worked with. Advantages of the DevOps Approach When DevOps is implemented effectively, it can provide several benefits, especially in the early stages of development. For start-ups looking to bring a new product to market quickly, DevOps can offer speed and agility. Similarly, established companies launching a new service or product can also benefit from the DevOps model. Although the same team operates the system, there may be some specialization, with some team members focusing more on operations and others on development. Over time, as the product matures, teams may split, with a platform team (akin to SRE) working alongside a development team (akin to SWE). However, the integration and overlap of operational activities by the development engineers and deep understanding of the system by the operational engineers remain tight. This tight feedback loop leads to a better understanding of how the system runs, its limitations, and the customer experience by all team members. This, in turn, makes decision-making and iteration cycles faster. This is likely a contributing factor to AWS’ dominance in the market and the large number of offerings it provides. When DevOps Goes Wrong Generally, operations can be divided into three main categories: Service operations Incident prevention Incident response While service operations are often seen as enjoyable by software engineers, incident prevention may not be as engaging, and incident response can become overwhelming, particularly when engineers are responsible for development and operations. The more time they spend on operational tasks, the less time they have for development and the more dissatisfied they become with their job. This can result in a vicious cycle of overworked engineers, high turnover, decreased work quality, and a growing workload for operations. Site Reliability Engineering (SRE) Site Reliability Engineering (SRE) is a discipline developed by Google to improve the reliability and availability of software systems. It involves a dedicated team of SREs who focus solely on these goals, while software engineers (SWEs) handle writing the code. SRE brings a formalized set of principles and terminology, such as Service Level Indicators (SLIs), Service Level Objectives (SLOs), error budgets, toil, and others, to ensure the software is scalable and meets performance standards. Benefits of Site Reliability Engineering When SRE is implemented effectively, it provides a high level of standardization and consistency in measuring customer experience. This approach doesn’t necessarily result in more reliable or performant services, but it ensures that best practices are followed across multiple products. By having dedicated SRE teams, it reduces the burden of operations on the software engineers, who no longer need to deal with operational issues at all hours of the day and night. As a result, software engineers can have a better work-life balance, while the SRE team ensures that operational needs are met in a consistent and efficient manner. When SRE Goes Wrong In the SRE model, software engineers (SWEs) are freed from the operational burden; however, this can result in a lack of exposure to the workings of the system, leading to vague risk assessments and limited understanding of how their code behaves in different conditions. On the other hand, SREs may be overburdened with an excessive number of pages, which can slow down development by becoming overly risk-averse. This, in turn, affects the SWEs who then become risk-averse and struggle to get approvals from SREs. This disconnect between the two teams, with SWEs perceiving the service as a black box and SREs lacking an understanding of the code and intent, can lead to a semi-functioning organization where deploying code to production may take months and the majority of initiatives never see the light of day. Which One Is Better? The answer is not that simple. Neither DevOps nor SRE is inherently better or worse, they both have their own strengths and weaknesses. When it comes to DevOps, it’s crucial to ensure that engineers are not overburdened with operational tasks, and that they have a healthy work-life balance. This can be achieved by proper investment in tooling and a focus on quality output. Additionally, it’s important to strike a balance between development and operations to avoid a situation where either one of the two becomes more dominant and hinders the progress of the other. On the other hand, SRE is designed to alleviate the operational burden from software engineers and protect them from the distractions of incident management and other operational tasks. However, it’s important to avoid a disconnect between the SWEs and SREs and ensure that each team has a comprehensive understanding of the system. Additionally, SREs should not only be focused on operational metrics, but also be interested in delivery and should have skin in the game. In other words, both DevOps and SRE have their own advantages and disadvantages, and the best approach will depend on the needs and culture of your organization. The key is to avoid the pitfalls of each system and strive for a balanced and effective approach to software delivery. Balancing Speed and Stability Balancing speed and stability is a critical aspect in the DevOps vs SRE debate. The approach that a company takes will depend on its stage and goals. Start-ups often prioritize speed and agility to bring their product to market quickly, making DevOps the ideal choice. As the company grows, stability and reliability become more important to maintain customer trust, making SRE a better fit. However, the transition from DevOps to SRE does not mean giving up on the principles of speed and agility. An effective SRE model can still strike a balance between reliability and speed by ensuring close collaboration between SWEs and SREs. The SWEs drive the development process, while the SREs ensure the system is reliable and scalable. Regular hat-swapping rotations and joint operational meetings can keep both teams tight-knit and aligned with delivery and stability goals. This approach offers the best of both worlds solution. Closing Thoughts The choice between DevOps and SRE is not straightforward. The best approach depends on the situation of your company and what it needs. By combining the advantages of both, you can find the sweet spot between speed and stability, ensuring that you keep delivering great software. To make this possible, it’s vital for technology and operations engineers to collaborate closely. Sharing responsibilities and meeting regularly can help keep everyone on the same page, with a focus on delivery and maintaining smooth operations. This can result in both DevOps and SRE working effectively.

People often ask me for advice when they move to a manager of managers role. This post covers ten things to consider. I’ll describe a number of things that surprised me, some skills to focus on building, and some tips for navigating this phase of your career. Being a Director Is a Very Different Job First of all, the move to being a director was a bigger change for me than I expected. I thought managing managers would be similar to managing engineers. That was naive. The shift wasn’t quite as big as moving into management. But it was close. Being a Half Director Isn’t the Preparation You May Think It Is As a senior manager, I started to transition into a manager of managers role. But I did so in a hybrid way: managing a team directly, and managing another manager at the same time. I thought this meant that I understood the job of managing another manager. I did learn a lot, but it wasn’t the preparation I thought it would be. Why? The skills to manage that manager was new, so I did the job in a limited way. Only when my role switched to fully managing other managers did I have enough ability to focus on the job? It was then that I realized how little I actually knew about that work, and started to grow at a faster pace. You’ll Do Most of Your Work Through Others One of the larger shifts in the nature of your work is that Directors do most of their work through other people. You may think you’re doing work through other people when you’re managing engineers as a front-line manager. But Directors have to operate at a much higher level of indirection. A consequence of this is that your weekly meeting with your managers, and your 1-1s with them, become the most important meetings of your week. Consider lengthening your 1-1s with them to an hour, and make them weekly. And spend serious time planning your management meetings and 1-1s. They are where you should be doing most of your work. Operating with so much indirection can be an adjustment. Most successful managers have probably been successful largely through their direct efforts. They’ve managed projects well, or hired well, or made improvements to their team. When you’re a Director, you’re usually working through someone else who is doing the work. Suddenly your success is based on how well your managers are running their projects. Your success is based on how well they hire. Your success is based on the improvements they make on your team. This leads to a few common pitfalls. One is the overinvolved Director, who doesn’t make space for their managers to do the work themselves. One sign this is happening is if you’re in all the same meetings as your manager. The second is the involved Director, who views their role as hiring the right people and supporting them. This is similar to the shit shield school of management. Instead, I encourage you to think about your level of involvement as something you flex depending on the circumstances. Your goal is to be less involved, but it should depend on the level of expertise of the manager in this particular area, and the complexity and challenge of the situation they’re facing. When a situation is challenging for a manager, you might be more proscriptive, giving them a pattern to follow. You might review their plans and offer more feedback. You should interact more frequently, and talk through the actions they plan to take. A Lot of Your Job Is Training Managers This flexing of your level of attention is an important part of your role as Director. And it leads to the next thing to be aware of as a Director: your role is to train your management team. Ideally, any of your managers should be able to step into your shoes, and do any part of your role. And even if they can’t do so, your job is to prepare at least one of them to do so. To understand this topic, I first recommend you read my post on Completed Staff Work. Pay special attention to the end, where I review Marquet’s Ladder of Leadership. The way I like to look at my management team is that they all have varying levels of skills in different areas. Sometimes their skills will exceed my own in certain areas! But my role is to help them develop their skills as rapidly as possible. Part of this is that the more skilled they are, the more autonomously they can operate. This is at the heart of a scalable organization. If all your managers rely on you for everything, you have an ineffective organization. So your job is to create an increasingly autonomous and skilled organization. One that is able to produce good results independently. To do this, you need to be expanding their skill set, and creating the right environment for them to thrive. Coach and develop them to build their skills. Biggest Skill to Learn: Sensing Your Organization The biggest surprise for me when I moved to a pure manager of managers role was how little I knew what was going on. It was like someone had turned off all the lights. I couldn’t see anything that was happening any more. You may find the information vacuum unsettling. You’re simultaneously put in a position where your job is to make things better, but you have much worse information about where the problems are. I see some Directors become destructive to their organizations at this point. They rely on their gut and pride themselves on making decisions without full information. This can work sometimes, but it can also result in problems. It’s like a doctor that doesn’t diagnose the disease and instead starts filling you with random drugs and starts surgery in random parts of your body. Correctly diagnosing and understanding the cause of things is essential. You need to build a way to understand what is happening in your organization. You need to set up observability of your organization, so you’ll know if things are going off the rails. Pay a lot of attention to this. It gives you the ability to support your managers, and it provides opportunities for intervention. A few things you might try: Look for meetings that give you signals that things are going well, or not going well. I found demos to be a particularly rich source of information, for example. Do skip levels 1-1s, to get a random sense of how things are going, and to establish connections throughout your organization. Collect metrics from your managers, so you can have conversations about trends or things that seem to be going off track. Look at the information tools can give you. Stats on reliability, how often people are paged, product usage metrics and analytics tools can help fill in your picture of how things are going. One trap to be wary of is that your need for information may entice you to ask your managers for information. You’ll probably need information frequently enough that you can be a source of annoyance to them. Consider adding some structure around your information needs. Think about what you really need to know each week, and ask your managers to push it to you, instead of pulling it from them all the time. You’ll Need a New Perspective One question to ask yourself is where you can be helpful to the organization. What are things you can do that nobody else can do? One thing you do more as a Director is to plan further into the future. It would be best if you had a higher-level perspective on how your organization’s work fits into the broader offering of the company. This perspective is something you can use to shape the direction your organization heads and is something your managers cannot usually do. The skill to learn here is outlined in my post: Leaders make their own problems. I recommend looking at that post carefully. You can also look at this post on upstream thinking, as I think it outlines some of the mindset required as a Director. You Should Focus On Systems A weird thing about being a Director is that you operate more at a meta-level. What I mean by that is that instead of directly tinkering with a team, you’re working with a system of teams. Your focus should be shifting to be more about the patterns of things, than the details themselves. This may come naturally to the rare people who tend to be systems thinkers. For everyone else, this is a skill to build. My suggestion is to always be operating at two levels: solving both the immediate problem and looking at the level of abstraction above that. For example, if there is a project that is going off the rails, you should be thinking about how to help with that. But you should also think about what your playbook is for off-the-rails projects. Or how to notice these projects earlier. Or how to systematically reduce the prevalence of this type of project. You also should think about ways you can influence the whole system. Your toolkit is different because you’re operating at a systems level – at an organizational level. A few suggestions: You are in a unique position to offer clarity. You can simplify things for people. You can allow them to focus on fewer things. This is almost always a helpful thing for you to be doing, so pay attention to how you can both simplify things in your own mind, but also how to communicate them. You’re also in a unique position to offer context. You will have a lot more context than you used to because you’ll be interacting with higher levels of leadership than you did in the past. Think of that context sharing as a service you offer your organization. \ Constraints are a tool that you may wield more as a Director. For example, you can make simple rules for teams that help nudge them in the right direction. An example? Teams can only have a project or two they work on at a time. Don’t use over-use constraints as a tool, but sometimes it can be helpful to ask yourself: if I could only do one thing right now, what would have the biggest impact? You should also familiarize yourself with the levers of coordination models. These are patterns in the way that humans work together in groups to be effective. You’ll need to learn how to organize groups of people, do reorganizations, and so on. Some of your instincts may be untrustworthy. For example, when deciding whether to organize a team based on a skillset or around a product area, you may have suspicions about the best way to do it. But most likely, you have no idea the kinds of tradeoffs you’re dealing with. This leads to my next point. Get Support and Mentorship Many managers gradually reduce the amount of support and mentorship they receive as they go up the hierarchy. I think they do this because they’re expected to be experts. This is foolish. As you change roles and move through different parts of the organization, your skills will need to grow. So seek out people who can mentor you. Seek out peers that can give you feedback. Start your own Mini-M support group for Directors. Contact me or another experienced leader to advise or coach you. Read books and subscribe to newsletters that stretch your thinking. Beware the Distortions of Power Another thing you need to be aware of is that the higher you go in an organization, the more there is an invisible distortion field around you. It affects how people interact with you, and the information you see from your environment. This can have a harmful impact on your ability to understand the true situation in your organization. It requires a specific set of skills to counter. Without doing so, you’ll be operating in lala land, unaware of the problems you’re creating. As a Director, you’re going to start getting the first taste of this, so be on the lookout and start building your habits early. You’re Judged by the Difference You Make in Your Organization To close, I’d like to leave you with my mental model for how you can assess yourself as a Director. You are judged by the output of your organization. And specifically, you’re judged by the difference you make in the organization. What do you make better? How do you improve things? What is the diff you apply to that organization?

Data engineering is a skill that's used to collect and analyze data. Then, it can be used to understand the data's quality and make predictions about it. This makes it an essential skill for cyber intelligence professionals to ensure that their systems collect good quality information to make accurate predictions. Data science is a large field with many different sub-specialties, and data engineering is one such specialty. Its focus on understanding how systems work means that these professionals have an affinity for building things from scratch; this includes programming languages like Python or R rather than just using pre-existing software packages available via third-party vendors (such as Google Analytics). Data Engineering for Understanding To begin any analysis, it's crucial to comprehend the initial data. Data engineers play a vital role in extracting valuable insights from raw data and converting it into informative data. This process includes discovering patterns, trends, and connections within data sets that aid cyber intelligence experts in making educated decisions about their field of focus. Data engineering skills are also needed when working with big datasets (such as social media or web usage). These types of data sets have many variables that need to be analyzed individually; however, they often have similar properties across different groups within those groups. To understand what these properties mean and how they relate together, you need someone who understands how each variable behaves individually—and then aggregates their results onto larger scales (e.g., country-wide). A Pipeline for Cyber Intelligence Data engineering is a necessary skill for cyber intelligence. It's the process of building a pipeline to collect and analyze data. A pipeline comprises data sources, a data store, and an analysis tool. This can be done in several steps: First, you'll need to define your queries or use pre-built tools that help you find specific information from your source (e.g., search history). Then draw connections between different pieces of information using indexes or keywords; these connections are called joins in databases because they combine multiple rows into one result set (the "join" part comes from joining data sets). You may also want to export this data so that it can be used elsewhere without having access directly through its original source—this is called ETL (extraction transformation load) or ETL/ELT (extraction transformation load/export). Finally, visualize graphs representing all results and any additional analyses performed on them; this process is called BI (business intelligence). The Future of Cyber Threats The future of cyber threats is a digital arms race. It will be a battle for data, for the cloud, and for AI. In this digital warfare, intelligence agencies have been forced to act quickly to stay ahead of their adversaries' capabilities. As a result, they need to understand how these technologies work so that they can intercept communications or take over control systems before it's too late—and they need more data scientists who are trained in machine learning techniques like deep learning (DL), which uses neural networks as part of its predictive analytics process. This means that even if you're not a coder yourself (or don't know what one looks like), you could still benefit from taking classes on DL theory at your local community college or university program. Data Engineering Skills Are Vital for Cyber Intelligence Pros Data engineering skills are vital for cyber intelligence pros. They're needed to analyze data, make it more valuable, and create insights from large sets of information. Data engineers work on projects that require them to pull together large sets of structured or unstructured data into a cohesive whole. They often use the tools available in their field: SQL databases, text analysis software like Natural Language Toolkit (NLTK), statistical packages with R and Python, and visualizations such as Tableau or D3js. Data engineers are crucial in protecting organizations from cyber threats and ensuring their data is safe from hackers or malicious actors. Data engineering is a complex skill set that anyone with the right mindset and training can master. It's an essential skill for cyber intelligence pros, who need to understand how the systems they work with work and how they are used. With all these skills under your belt, you can make intelligent decisions when it comes time for action. Conclusion In conclusion, implementing standards such as the Open Cybersecurity Schema Framework (OSCF) enables data engineers to standardize data collection and mapping, leading to a streamlined process for security teams. This results in a common language for data analysis and threat detection, facilitating collaboration between data scientists, analysts, and security teams. The ultimate aim of any framework is to serve as a widely accepted open standard that complements existing security practices and processes.

Application development has become an integral part of modern business operations. With the rapid growth of technology and the widespread use of mobile devices, the demand for software applications has increased manifold. Besides, from mobile apps to web applications, businesses require custom solutions that can cater to their specific needs and provide a seamless user experience. In this article, we will discuss the various types of application development, the stages involved in the development process, and the latest trends in the industry. What Is Application Development? Application development is the process of designing, building, and deploying software applications for various platforms such as web, mobile, desktop, and cloud. It involves several stages: requirements gathering, design, development, performance testing, deployment, and maintenance. Furthermore, application development aims to provide software solutions to meet the needs and requirements of businesses and users. It also requires a team of developers, designers, testers, project managers, and other professionals to work collaboratively to ensure the application meets the required quality standards. Application development is a complex process requiring technical skills, creativity, and project management expertise. However, a well-designed and developed application can provide significant benefits to the users and the business, including increased productivity, improved efficiency, and enhanced customer experience. Let's check the type of application development. Types of Application Development There are primarily two types of application development – mobile and web. Mobile applications are designed specifically for mobile devices, whereas web applications are accessible through a web browser. Mobile Application Development Mobile app development involves the creation of software applications specifically for mobile devices such as smartphones and tablets. These apps can be built for various platforms, such as Android, iOS, and Windows. Mobile apps can be native, hybrid, or web-based. The future of Mobile Applications is bright for sure, as mobile users are increasing daily. Developers build native apps for a particular platform using the language specific to that platform. For instance, Java or Kotlin is used to develop Android apps, whereas Swift or Objective-C is used to create iOS apps. Native apps provide better performance, speed, and security than other types of apps. Hybrid apps, on the other hand, are a combination of native and web apps. They are built using web technologies such as HTML, CSS, and JavaScript and are wrapped in a native app container. Hybrid apps provide a better user experience than web apps but may not be as fast as native apps. Web apps are accessed through a web browser and do not require installation on the device. They are written in web technologies such as HTML, CSS, and JavaScript. Web apps are accessible from any device with an internet connection and are platform-independent. However, they may not provide the same level of functionality as native or hybrid apps. Web Application Development Web application development involves the creation of software applications that is accessible through a web browser. Developers build applications that can run on various devices, such as desktops, laptops, and mobile devices. Besides, they use various technologies, such as HTML, CSS, JavaScript, and server-side scripting languages like PHP, Ruby on Rails, and Node.js to build web applications. In some cases, developers also use ready-to-use admin templates as well. An admin template is a collection of web pages created with HTML, CSS, and JavaScript or any JavaScript libraries that are used to form the user interface of a web application's backend. It can save lots of time and money that one needs to invest during web app development. In addition, you can build progressive web apps and SPA using it. There are basically two types of web applications – static and dynamic. Static web applications are basic websites that provide information to the user. They do not require any interaction with the server and are primarily used for informational purposes. On the other hand, dynamic web applications provide a more interactive experience to the user. They require interaction with the server and can provide various functionalities such as user authentication, data storage, and retrieval. Dynamic web applications can be built using various JavaScript frameworks such as AngularJS, ReactJS, and Vue.js. Methodologies of Application Development Successful projects are well-managed. To effectively manage a project, the manager or development team must select the software development methodology that is best suited to the project at hand. Every methodology has different strengths and weaknesses and exists for various reasons. Here's an overview of the most commonly used software development methodologies and why they exist. Agile Development Methodology The Agile development methodology is an iterative and flexible approach to software development that emphasizes collaboration, customer satisfaction, and rapid delivery. The methodology involves breaking the project down into smaller, manageable pieces called sprints, which typically last between one and four weeks. At the end of each sprint, the team reviews and adjusts its progress and priorities based on feedback and changing requirements. There are several benefits of Agile methodology. First, it emphasizes communication and collaboration between developers, customers, and stakeholders, promoting flexibility and adaptability in response to changing business needs. The result is a more customer-focused approach that delivers high-quality software in a shorter timeframe. DevOps Deployment Methodology DevOps deployment methodology is a software development approach that focuses on collaboration and automation between development and operations teams to improve software delivery speed, quality, and reliability. The methodology involves using Continuous Integration and Continuous Deployment tools to automate the build, test, and deployment process, ensuring code changes are thoroughly validated before they are deployed to production. DevOps deployment methodology enables teams to reduce the time and effort required to release new features or updates, allowing them to respond quickly to changing customer needs and market demands. Waterfall Development Method The Waterfall model is a traditional linear software development methodology that flows sequentially through conception, initiation, planning, design, construction, testing, deployment, and maintenance phases. The software development team defines requirements upfront and completes each phase before moving on to the next. The Waterfall methodology can become inflexible when there are changes to requirements or a need for iterative development. Additionally, the methodology may not catch errors until later in the project cycle, making it more difficult and costly to address them. Rapid Application Development Rapid Application Development (RAD) is a software development methodology that emphasizes speed and flexibility in the development process. The methodology involves breaking down the project into small modules and using iterative development to quickly build, test, and refine the software. RAD typically involves the use of visual tools, prototyping tools, and user feedback to speed up the development process. RAD aims to deliver a working prototype of the software to customers early in the development cycle, allowing for early feedback and adjustments. This approach enables developers to quickly respond to changing customer needs and deliver a high-quality product in a short amount of time. Now, let's head toward the stages of Application Development. Stages of Application Development Application development involves several stages, each of which is essential for the success of the project. The following are the various stages of application development: Planning The planning stage is crucial to the success of the project as it sets the foundation for the rest of the development process. During this stage, the development team works with the client to define the project objectives, target audience, and the features and functionalities that the application should have. The team also determines the project scope, budget, and timelines. The outcome of this stage is a comprehensive project plan that outlines the requirements, scope, timelines, and budget. The plan serves as a roadmap for the development team and ensures that everyone is on the same page before proceeding to the design stage. Design The design stage involves creating wireframes and prototypes of the application. This stage consists of the user interface (UI) and user experience (UX) of the application. Next, the design team works with the development team to ensure that the design is technically feasible and aligns with the project requirements. The design team here uses different tools, such as UI Kits, prototyping tools (like adobe and Figma), wireframes, etc. design an appealing app. The outcome of this stage is a visual representation of the application, including the layout, color scheme, typography, and other design elements. Usually, the client reviews the design for approval before proceeding to the development stage. A well-designed application is critical to its success as it directly impacts user engagement and retention. Development The development stage is where the actual coding takes place. Here, the development team follows the design guidelines and uses the required technologies and tools to build the application. The development team usually works in sprints, with each sprint delivering a set of features or functionalities. During the development stage, the team adheres to the best practices for coding, documentation, and version control. The team also ensures the optimization of the code for better performance, security, and scalability. Regular communication and collaboration between the development team, the design team, and the client are essential to ensure that the development aligns with the project requirements. The outcome of this stage is a working application that meets the project requirements. To make sure that application is bug-free, the developer team rigorously tests it with various testing methods. If they find any issues or bugs, then they fix them before proceeding to the deployment stage. A well-developed application is critical to its success as it directly impacts user experience and satisfaction. Testing The testing stage involves validating the functionality, performance, and usability of the application. The testing team uses various testing methods, including unit testing, integration testing, system testing, usability testing, and user acceptance testing (UAT), to ensure that the application works as expected. During the testing stage, the team identifies and documents any issues or bugs and communicates them to the development team for fixing. The team also ensures that the application is accessible, responsive, and user-friendly. The software testing stage is critical to the success of the project as it ensures that the application is ready for deployment. The outcome of this stage is a tested and validated application that meets the project requirements. Next, the testing team provides a report of the testing results, including any issues or bugs, to the development team for fixing. Finally, after resolving all the issues, the application becomes ready for deployment. Deployment The deployment stage involves releasing the application to the production environment. The deployment team follows a deployment plan that outlines the steps required to deploy the application. The team ensures deployment of the application goes without any downtime or disruption to the users. The deployment stage is critical to the success of the project as it ensures that the application is available to the users. The deployment team also ensures that the application is secure and meets the required standards and regulations. In addition, the team monitors the application after deployment to ensure it performs optimally. Any issues or challenges that arise during the deployment process are documented and communicated to the development team for future reference. After the deployment of the application, the development team provides ongoing maintenance and support to ensure that the application continues to function optimally. A successful deployment ensures that the application is accessible to the users and meets their expectations. Maintenance The maintenance stage involves the ongoing support and maintenance of the application. The development team provides ongoing maintenance and support to ensure that the application continues to function optimally. In addition, the team monitors the application for any issues or bugs and fixes them promptly. During the maintenance stage, the development team also ensures that the application is updated with the latest technologies and security patches. In addition, the team also adds new features and functionalities as required by the client. The maintenance stage is critical to the success of the project as it ensures that the application continues to meet the user's requirements and expectations. The outcome of this stage is a well-maintained application that continues to function optimally and meet the user's expectations. In addition, a successful maintenance stage ensures that the application remains relevant and continues to provide value to the users. Now, let's check the app development trends you should know. App Development Trends in 2023 In 2023, many changes will be expected in the app development world. Well, the following are some burning application development trends that will indeed rule the world. Adoption of Cloud Technology The Future of Cloud Engineering is evolving as cloud technology is a game changer in application development. It enables businesses to easily scale their IT infrastructure, reduce costs, and increase agility. The adoption of cloud technology is increasing daily as it provides access to resources and services on-demand, allowing businesses to focus on their core competencies. Application developers can use cloud technology to build and deploy applications in a distributed environment, which allows users to easily access them from any location using any device with an internet connection. As more businesses recognize the advantages of cloud technology and transfer their IT operations to the cloud, this trend will definitely continue. Usage of AI and Machine Learning Technologies AI and machine learning technologies are transforming the way we interact with applications. From personalized recommendations to intelligent chatbots, AI and machine learning are revolutionizing the user experience. ChatGPT is the latest example of it. These technologies enable applications to learn from user behavior and preferences, providing a more personalized experience. Developers use these technologies to improve application performance, optimize resource utilization, and reduce maintenance costs. As more data becomes available, AI and machine learning algorithms become more accurate and effective. This application development trend will continuously evolve as AI and machine learning technologies become more accessible to developers and businesses alike. Metaverse-Like Experiences Metaverse-like experiences are a new trend in application development. These experiences are immersive and interactive, providing users with a virtual environment to explore and interact with. This trend will remain for upcoming years with the increasing popularity of virtual and augmented reality technologies. The metaverse will become a major part of the digital landscape, providing users with a new way to engage with applications and each other. Developers are exploring new ways to incorporate metaverse-like experiences into their applications, creating new opportunities for businesses to engage with their customers. Integration of Mobile Apps With Other Devices and Platforms Integration of mobile apps with other devices and platforms is another trend in application development. The proliferation of mobile devices has led to increasing demand for applications that can be accessed from multiple devices and platforms. As a result, developers are using technologies such as APIs and SDKs to enable seamless integration between mobile apps and other devices and platforms. The core reason behind this application integration trend is the need to offer users a consistent experience, regardless of their device or platform. Developers and businesses can expect this trend to persist as more devices become connected and provide new opportunities. Improved Native Cybersecurity Improved native cybersecurity is a critical trend in application development as privacy and security have become major concerns for businesses and users alike. Furthermore, with the increasing number of cyber threats, it is important for applications to be secure and resilient. Developers are incorporating security features into their applications from the ground up, making security an integral part of the development process. This includes features such as encryption, authentication, and authorization. In addition, as cyber threats continue to evolve, developers are expected to continue to improve native cybersecurity, ensuring that applications remain secure and resilient. Low Code/No Code Is the Future As per a report, the low-code development market will generate $187 billion by 2030. Low-code/no-code platforms are becoming increasingly popular among businesses and app developers. These platforms allow developers to create applications using visual interfaces and drag-and-drop components without requiring extensive programming knowledge. This trend will continue in upcoming years as more businesses and developers embrace the benefits of low-code/no-code platforms, such as faster development times and reduced costs. Conclusion Well, here we briefly discussed application development, consisting of various types, stages, and trends. The intention here is to provide you with a comprehensive overview of the Application Development process, what it requires, and what trends will be vital in 2023. I hope you find this article noteworthy and helpful. If you have any inputs, you can share them with me through the comment section.

Developers love to hack, but software engineering as a profession can actually be quite mundane. We attend hours of meetings, give status reports, fix bugs, maintain legacy software, and work on less-than-exciting projects. Not all of us are out there changing the world and building the next hottest new technology. To satisfy our desire to build, we participate in hackathons, where the primary goal is simply to build something cool. We hack it together, so to speak. Smart companies regularly host internal hackathons, and that’s where some of their best ideas are generated. Sometimes a company will sponsor a public-facing hackathon as well, in which anyone can participate. Winners of these hackathons are often rewarded with prize money, swag, and the respect of their peers. I recently came across this pretty awesome Ethereum Hackathon Survival Guide from ConsenSys (the company that makes Web3 tools such as Infura, MetaMask, Truffle, and Diligence). The guide covers workflows, prepping for a Web3 hackathon, best practices, Ethereum resources to have with you during the hackathon, etc. It’s a thorough guide. And it got me thinking about my own past hackathon experiences. I haven’t actually participated in any public hackathons yet (having kids will do that to you), but I’ve done plenty of company-wide hackathons over the last nine years of my career. For those looking to make the most of their next hackathon, read the above guide for Web3 hackathon tips — and then, in addition to that, here are my words of advice. Explore Something New Hackathons are a great time to explore something new. When choosing a project for your next hackathon, don’t just do what you already do every day at work. Find something new! Hackathons are a time to branch out and get out of your comfort zone. Is there a framework, library, or API you’ve been dying to try out? Do you have a harebrained idea that you just haven’t had time to start building? Is there a problem that’s been nagging you and keeping you up at night? Is there something you’d like to simplify, either in your personal life or at work? These can all serve as inspiration when brainstorming topic ideas. When I wanted to learn GraphQL, I built Puppy Playdate, the Tinder app for dogs. Puppy Playdate, the Tinder app for dogs When I was first learning about web sockets and WebRTC, I built Chat Sockets, a real-time chat app that included a Giphy integration, just like Slack has. Chat Sockets, a WebRTC chat app And when I wanted to learn more about machine learning and similarity search, I built a plagiarism checker backed by the Pinecone SDK. Plagiarism checker built with the Pinecone SDK Keep in mind that your project doesn’t have to be production-ready by the end of the hackathon. The idea is to build a proof of concept you can then explore further after the hackathon is over. Meet New People Some developers participate in hackathons with the intent to win. They’re super competitive and have their sights set on that first-prize money. If that doesn’t sound like you, don’t worry — your goal doesn’t have to be to win. Your goal might just be to experience what a hackathon is like. The high energy or late night might be just what you needed to rekindle the spark and remind you why you love programming. Or, your goal might be to network. Hackathons are a great place to meet new people and learn from those around you. You might be looking forward to getting to know your teammates better. Or perhaps there’s someone in your group who you look up to and have always wanted to work alongside. Just like pair programming or mob programming, hackathons allow you to peer a little deeper into the minds of your colleagues to see how they work. You may pick up a few tips and tricks along the way that will boost your productivity for years to come. A couple of years ago, I did a week-long mob programming exercise with my teammates at work. We built a minesweeper game together using Tailwind CSS for the first time. During that week, I showed my teammates how to implement some build tools like Prettier, Commitizen, lint-staged, and Husky. One of my teammates showed me how to create static sites hosted on GitLab Pages. It was a win-win for everyone! In a subsequent hackathon, I later turned that project into a micro frontend that lived alongside an ecosystem of other micro frontends in our larger company app. Minesweeper, a React app turned into a microfrontend Come Prepared You should have an idea in mind before the hackathon actually begins. Some hackathons require you to submit your project idea beforehand, but others do not. Regardless, you need to have a rough idea of what you want to build. The first “pro tip” from the Ethereum hackathon guide is “have a bulletproof plan” — and I agree. If you don’t come prepared, you’ll spend the first half of the hackathon just figuring out what you actually want to build, and by then you’ll have lost a lot of time. For my last company hackathon (or “Garage Week," as we call it), I switched between a few topics. I first added some excitement to our product by including a burst of confetti whenever a user marks a task as complete. Gotta get that hit of dopamine! I then explored the process of bootstrapping a brand new micro frontend. After that, I began implementing drag-and-drop functionality for reordering columns within our complex tables. It was a fun week, and I accomplished a lot, but the scope of each project was much smaller than many of the other project submissions. The same advice applies to finding your team. Make sure you know in advance who you’ll be working with. You may want to start recruiting people to help you long before the actual hackathon starting date. Finally, it’s important that you know what your goals are for the hackathon, which we’ve touched on briefly already. Are you here to win? To learn something new? To meet people? All of the above? And if you’re in it to win it, do you know the rules of the contest or the criteria by which submissions will be judged? Past Projects If you need any more inspiration for your next hackathon, I have other goofy ideas you can check out. Need a Flappy Bird knockoff? I’ve got you covered. Flappy Bird knockoff game How about a Corporate BS Generator to help you better communicate with upper management? Corporate BS Generator Or perhaps you’d like to play an addicting ninja cat game? Stacks on Stacks on Stacks, a ninja cat game You can find all of the code repos in my GitHub profile as well. Wrapping Up Hackathons can be a great experience, and one of the world’s largest hackathons is about to happen at ETHDenver very soon: February 24th to March 1st this year. If it’s your first one, don’t stress too much. Come prepared, know what your goals are, meet some people, and learn something new. But most of all, have fun.

As a DevOps engineer, one of the most important aspects of your job is to have a sense of ownership over the software development and delivery process. This means taking responsibility for the entire process, from design and development to deployment and maintenance. It also means proactively identifying and resolving issues and continuously looking for ways to improve the process. Understanding of the Software Delivery Process Having ownership as a DevOps engineer is essential for several reasons. First, it allows you better to understand the entire software development and delivery process. When you take ownership, you are more likely to be aware of potential issues and be able to anticipate and proactively address them. This results in fewer delays and disruptions and a more efficient and reliable delivery process. By understanding the process from start to finish, you can identify bottlenecks and optimize them, resulting in faster delivery and better software quality. Focused on Business Requirements Secondly, having ownership enables you to develop a deeper understanding of the business and its needs. When you take responsibility for the entire process, you become more aware of the business requirements and how the software development and delivery process supports those requirements. This allows you to make more informed decisions and better align the strategy with the needs of the business. By understanding the business needs, you can prioritize features and functionalities that impact the business most, resulting in better alignment, and, ultimately, better software delivery. Develop a Culture of Accountability and Responsibility Thirdly, ownership helps foster a culture of accountability and responsibility within the organization. When team members take ownership, they are more likely to be invested in the project's success and motivated to improve the process. This leads to a more engaged and productive team and ultimately results in better software development and delivery. When everyone is working towards a common goal, there is less chance of communication breakdowns and delays, resulting in a more efficient process. Additionally, with a culture of accountability, team members are more likely to take responsibility for their actions and be more motivated to improve and learn from their mistakes. Take a Strategic Approach to the Process Fourthly, having ownership as a DevOps engineer allows you to take a more strategic approach to the process. When you take ownership, you are more likely to see the big picture and understand the organization's long-term goals. This enables you to make more informed decisions and identify opportunities to improve the process in ways that align with the business's long-term goals. By understanding the long-term goals, you can align the software development and delivery process with the overall business strategy, resulting in more effective software delivery that supports the business objectives. Finally, having ownership as a DevOps engineer allows you to understand better and manage the risk. Understanding the entire software development and delivery process will enable you to identify potential risks and proactively address them. This results in fewer delays and disruptions and a more efficient and reliable delivery process. In conclusion, having ownership as a DevOps engineer is essential to your job. It allows you to understand better and manage the entire software development and delivery process, align it with the needs of the business, foster a culture of accountability and responsibility, take a more strategic approach to the process, and manage risk. This ultimately results in a more efficient and reliable delivery process, a more engaged and productive team, and better software development and delivery. By taking ownership, you become a crucial player in the software development process and can drive change and improve the process in ways that impact the business.