This article compares observability frameworks, focusing on logging versus distributed tracing. Tracing has advantages and can address logging challenges.
Discussing the use of AI in testing, the somewhat unfair manual QA vs. automation QA struggle, the risks faced by testers with new technologies developing exponentially, and more with Jason Arbon.
This blog post will explore patterns that help make synchronous communication in microservices more resilient, ensuring system stability and fault tolerance.
Learn the six must-have metrics for monitoring software performance and quality. Find out how to use them to identify potential issues and ensure engineering success.
Generative AI can become a developer's best friend for unit tests, but reinforcement learning tools can deliver immediate success – without reviewing the code.
What advancement allows organizations to holistically measure DevSecOps performance, ensuring not only speed and efficiency but also integrity and reliability?
Making API is simple. Making it together is complex. And API Governance can tackle this complexity, somewhere between fully decentralized and centralized organization.
Delve into the fundamental aspects and unique challenges of securing microservices architectures as well as best practices and techniques to mitigate risks.
In part one of this series, the reader will be introduced to the basics of GitLab, as well as continuous integration and continuous deployment/delivery.
How can organizations proactively identify and mitigate vulnerabilities, ensuring stronger protection against cyber threats and maintaining the trust of their customers?
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