Read about DevOps trends including supply chain management, platform engineering, deployment automation, and CI/CD pipeline observability.
Programming in Python. Dive into the Python ecosystem to learn about popular libraries, tools, modules, and more.
Getting Started With Large Language Models: A guide for both novices and seasoned practitioners to unlock the power of language models.
Director of Data and AI at Silk
Company website: https://silk.us
With over two decades of dedicated experience in the realm of relational database technology and proficiency in diverse public clouds, Kellyn, as the Director of Relational Systems and AI at Silk stands as a beacon of technical brilliance in the industry. Delving deep into the intricacies of databases early in their career, she has developed an unmatched expertise, particularly in Oracle on Azure. This combination of traditional database knowledge with an insight into modern cloud infrastructure has enabled her to bridge the gap between past and present technologies, and foresee the innovations of tomorrow. In her position at Silk, she is not just a guardian of the company's technical direction but also an innovator, always on the lookout for the next big breakthrough. Her role is far-reaching, encompassing the ideation and execution of complex engineering solutions, ensuring that Silk remains at the forefront of technology. Beyond internal responsibilities, she works to have a profound external presence. Recognized globally as an influential voice, she is taking to stages across the globe, speaking on a range of technical topics. Whether it's a keynote at a premier tech conference or an intimate workshop for budding engineers, her ability to translate complex concepts into relatable insights is unparalleled. She maintains a popular technical blog called DBAKevlar, (http://dbakevlar.com). Kellyn has authored both technical and non-technical books, having been part of numerous publications around database optimization, DevOps and command line scripting. This commitment to sharing knowledge underlines her belief in the power of community-driven growth.
This data-forward, analytics-driven world would be lost without its database and data storage solutions. As more organizations continue to transition their software to cloud-based systems, the growing demand for database innovation and enhancements has climbed to novel heights. We are upon a new era of the "Modern Database," where databases must both store data and ensure that data is prepped and primed securely for insights and analytics, integrity and quality, and microservices and cloud-based architectures.In our 2023 Database Systems Trend Report, we explore these database trends, assess current strategies and challenges, and provide forward-looking assessments of the database technologies most commonly used today. Further, readers will find insightful articles — written by several of our very own DZone Community experts — that cover hand-selected topics, including what "good" database design is, database monitoring and observability, and how to navigate the realm of cloud databases.
Every modern application and organization collects data. With that, there is a constant demand for database systems to expand, scale, and take on more responsibilities. Database architectures have become more complex, and as a result, there are more implementation choices. An effective database management system allows for quick access to database queries, and an organization can efficiently make informed decisions. So how does one effectively scale a database system and not sacrifice its quality?Our Database Systems Trend Report offers answers to this question by providing industry insights into database management selection and evaluation criteria. It also explores database management patterns for microservices, relational database migration strategies, time series compression algorithms and their applications, advice for the best data governing practices, and more. The goal of this report is to set up organizations for scaling success.