InfoQ Homepage DevOps Content on InfoQ
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Building and Operating a Serverless Data Pipeline
Will Norman discusses the motivations of switching to a serverless infrastructure, and lessons learned while building and operating such a system at scale.
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How to Evolve Kubernetes Resource Management Model
Jiaying Zhang provides an overview of the current Kubernetes resource model and best practice guidance on managing compute resources and specifying application resource requirements on Kubernetes.
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The Anti-transformation Transformation
Mirco Hering explores what is hindering many large, complex enterprise organizations from achieving mature DevOps, providing guidance on how to progress.
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What Breaks Our Systems: A Taxonomy of Black Swans
Laura Nolan talks about Black Swan events - unforeseen, unanticipated, and catastrophic incidents - that may happen in production and can take the system down.
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Graceful Degradation as a Feature
Lorne Kligerman talks about graceful degradation as an engineering goal which can be confidently tested with Chaos Engineering.
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How Did Things Go Right? Learning More from Incidents
Ryan Kitchens describes more rewarding ways to approach incident investigation without overly focusing on failure prevention.
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Alibaba Container Platform Infrastructure - a Kubernetes Approach
Fei Guo talks about Alibaba’s decision to fully integrate upstream Kubernetes into existing Alibaba container management system, and how they extended Kubernetes to help with their scalability needs.
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Beyond Entitlements for Cloud-native
Chandra Guntur and Hong Liu show how they use Open Policy Agent with Spring Boot and HOCON to produce a responsibility management solution that scales to volume and performance needs.
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Building and Scaling High Performing Technology Organizations
Jez Humble presents the results from DevOps Research and Assessment's research program, including how CD and good architecture produce higher delivery performance, and how to measure culture.
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Are We Really Cloud-Native?
Bert Ertman talks about Cloud-native, what it takes to do it right and what it means to do application development right in the cloud.
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Conquering Microservices Complexity @Uber with Distributed Tracing
Yuri Shkuro talks about how Uber is using distributed tracing to make sense of a large number of microservices and the interaction among them.
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Acceptance Testing for Continuous Delivery
Dave Farley describes approaches to acceptance testing that allow teams to work quickly and effectively, build functional coverage tests and maintain those tests throughout change.
CONTENT IN THIS BOX PROVIDED BY OUR SPONSOR
Application Performance Management in the Microservices Age
Manual Monitoring – Bad! Automatic Monitoring – Good!
Application Performance Management in a Containerized World
Open Source Microservices Monitoring is a Terrible Idea
Yes Virginia, Automatic Monitoring DOES Exist
Finding the Needle in the Containerized Haystack
The Ultimate Application Monitoring Guide for Kubernetes
