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The Latest Testing, Deployment, and Maintenance Topics

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Guide to Scripting With the Spring Framework
Scripting is one of the best ways to make your code customizable at runtime. Take a look!
Updated November 29, 2018
by Andrey Belyaev
· 25,880 Views · 14 Likes
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Setting Up A PostgreSQL Database on An Ubuntu Instance
So much Ubuntu, so little time.
November 29, 2018
by Kehinde Sanni
· 12,185 Views · 4 Likes
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Spring Cloud Config and Self-Signed Certificates
What is a Spring Cloud Config? And how can I implement it with a self-signed certificate?
November 28, 2018
by Scott Sosna DZone Core CORE
· 13,844 Views · 3 Likes
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DevSecOps: Integrating OWASP ZAP With GitLab and Calliope.pro
Begin your DevSecOps transformation with this small stepping stone.
November 27, 2018
by Marudhamaran Gunasekaran
· 16,336 Views · 2 Likes
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The Artificial Neural Networks Handbook: Part 4
Look at the necessary details to start your journey to explore Artificial Neural Networks in more detail.
November 27, 2018
by Jayesh Bapu Ahire
· 8,240 Views · 2 Likes
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List of ERP Technologies: What is Right for Your Project?
ERP connects and informs your business with the right solutions.
November 27, 2018
by Victor Osetskyi
· 51,093 Views · 3 Likes
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DevOps: Principles, Practices, and the DevOps Engineer Role
Get a better understanding of DevOps and the role of a DevOps engineer.
November 27, 2018
by Oleksandra Krykova
· 25,065 Views · 5 Likes
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Data Mapping Tools
Keeping track of the data you have in your data warehouse via the use of data mapping tools is essential to any data professional. Check out this great list of tools!
November 26, 2018
by Garrett Alley
· 25,206 Views · 11 Likes
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Orchestrating Microservices: A Guide for Architects
This guide for software architects talks about orchestrating microservices together even though they are separate modules.
November 26, 2018
by Mark Henke
· 59,794 Views · 11 Likes
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Why Your JUnit 5 Tests Are Not Running Under Maven
You've made the switch to JUnit 5 and you couldn't be happier. Or could you?
November 21, 2018
by John Thompson
· 199,262 Views · 19 Likes
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Data Warehouse Solutions: On-Prem and Cloud-Based
Montague vs. Capulet. Gretzky vs. Lemieux. On-prem vs. cloud-based data warehouse solutions. The three biggest rivalries of all time.
November 21, 2018
by John Hammink
· 13,059 Views · 2 Likes
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3 Ways to Debug JMeter Scripts
Learn three ways to debug your JMeter scripts if you're having problems when load testing.
November 21, 2018
by Canberk Akduygu
· 16,102 Views · 1 Like
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Microservices With Spring Cloud Alibaba
If you're looking for an alternative to using Spring Cloud Netflix, read on to check out Spring Cloud Alibaba.
November 21, 2018
by Piotr Mińkowski
· 15,007 Views · 4 Likes
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When Databases Meet FPGA: Achieving 1 Million TPS With X-DB Heterogeneous Computing
Explore Alibaba Cloud's X-Engine and how to achieve 1 million TPS with X-DB heterogenous computing.
Updated November 20, 2018
by Leona Zhang
· 14,456 Views · 4 Likes
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Another Data POJO Builder for Tests
Learn how to use Builder4Test, a data POJO build for automated Java tests.
November 20, 2018
by Adolfo Custidiano
· 15,092 Views · 1 Like
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How to Create a Builder Image With S2I
For the eaiser crafting of Docker images from source code.
Updated November 20, 2018
by Hüseyin Akdoğan DZone Core CORE
· 18,490 Views · 2 Likes
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Regular Expression Tutorial for Apache JMeter Tests
Learn how to use JMeter's Regular Expression extractor as a Post Processor in your load testing.
November 20, 2018
by Canberk Akduygu
· 14,422 Views · 1 Like
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The 2018 State of DevOps Report(s)
In its seventh annual outing, the results of Puppet and Splunk’s collaboration is out in the form of the 2018 State of DevOps Report. As the Report outlines from the responses of 3,000 participants, “DevOps is an ongoing evolution, and there is no final destination. But there are ways to achieve success faster.” Many teams today are at various stages in their DevOps adoption and Puppet and Splunk’s document offers practices which will help everyone involved get started or advance if they’re stuck. A similar focus is at the center of another report, Accelerate: State of DevOps 2018: Strategies for a New Economy, which is the work of DevOps Research and Assessment (DORA) and Google Cloud. It is based on the findings from an increasingly diverse cross-section of 1,900 technical professionals worldwide who participated in the research. Both reports offer performance-based data to demonstrate the comparisons between teams that have initiated DevOps culture and practices across teams and departments, and those who haven’t. For example, the Puppet Report displays a higher percentage of highly evolved organizations have expanded DevOps culture and practices across multiple teams and departments than lesser evolved organizations have. The DORA one reinforces this data by reporting that the highest performers are still excelling at throughput and stability, while medium and low performers remain behind. DORA also shows a fourth high-performance group: elite performers. A new category which exists now as high-performers are growing and expanding up to a new bar of excellence. Thankfully, this is not exclusively reserved for individuals with any special characteristics. devOps can help any organization achieve similar performance results. It just takes time. This elite group delivers: 46 times more code deployments Commit to deploy lead times that are 2,555 times faster A 7x lower change failure rate Incident recovery times that are 2,604 times faster Puppet hypothesized before the Report that highly evolved organizations are measuring by significantly higher levels of automated business metrics as well as higher levels of automated system measurement. The final results supported these findings. Interestingly. the same report showed the perspectives of the DevOps evolution are different among departments across the spectrum of organizations. C-suite executives responded much more optimistically about the State of DevOps in their organization than Team Members did. Puppet suggests better-automated system measurements to filter clearer information up the management ladder so everyone is on the same page. By leveraging systematic automation, teams are able to synchronize (and speed up) work and processes. Thus, teams can improve their work quality, productivity, and consistency, and remove time-consuming low-value tasks from their workflow. As such automation systems progress and become increasingly integrated with the rest of your organizational infrastructure, sharing resources, automation insights, and deployment patterns is simpler too. Puppet’s Report documents that organizational sharing best practices as employed by highly evolved companies are reinforcing the higher abstraction and automation processes the teams employ too. The DORA Report identifies an interesting J-Curve of Transformation that most organizations go through for automating processes where medium performing teams are still doing the highest amount of manual work. Data which continues from findings in previous reports. Forsgren, Humble and Kim, 2018. The Puppet Report, which reinforces the idea that “DevOps […] is not just automation,” visually shows the evolution of teams automated progress in terms of evolution through performance level. The bar chart supports the progression depicted by DORA that medium performers are automating few of their own processes still. Mann, Brown, Stahnke & Kersten, 2018. Both Reports firmly establish that is the cultural changes needed for DevOps success which teams are finding that delay the process and are making it more difficult for organizations to implement. These are the practices that require broader organizational input and support. Culture remains the pivotal element of implementing a successful DevOps transformation. DORA’s Report reflects that “Trust and voice, in turn, positively affect organizational culture.” It continues that strong leaders who communicate clearly are a guiding light in any DevOps journey. The Puppet Report reinforces this by acknowledging that “You’re not going to magically fix your organization’s culture overnight. But you can start by improving collaboration (and results) across this one critical functional boundary.” The key mentioned already above being ‘sharing,’ both across team and organization. The document expands on the idea that sharing is fundamental to success with the other three pillars of DevOps: “culture, automation, and measurement.” Software delivery performance remains a key element of organizational performance for both commercial and non-commercial goals. Both Reports continue to support the argument that implementing DevOps practices and capabilities enhance technology transformations and result in improved organizational performance as well as quality products and features. References Forsgren, D., Humble, J. and Kim, G. (2018). Accelerate: State of DevOps 2018: Strategies for a New Economy. DevOps Research and Assessment (DORA). Mann, A., Brown, A., Stahnke, M., & Kersten, N. (2018). State of DevOps Report 2018 [Ebook]. Puppet and Splunk.
November 19, 2018
by Stefan Thorpe
· 16,577 Views · 3 Likes
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Azure SQL with PCF Spring Boot Applications (Part 2 - AlwaysEncrypted)
In this follow-up to a previous article, we look at how to secure your previously constructed Spring Boot application with Always Encrypted.
Updated November 16, 2018
by Elena Neroslavskaya
· 18,837 Views · 9 Likes
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How We Load Tested the New BlazeMeter JMX Converter
Learn how BlazeMeter load tested their new JMX Converter, which lets more people test with JMeter and BlazeMeter.
November 16, 2018
by Artem Fedorov
· 11,765 Views · 2 Likes
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