A little more about C # 8.0, the Red Hat OpenShift Container Platform cheat sheet and creating an upstream-to-downstream pipeline

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Start new:

• A little more C # 8.0

  In the last, fifth article in the C # 8.0 series, we’ll look at static local functions, indexes and ranges, and using declarations.

• Shenandoah GC in JDK 14, part 2: unloading root objects and classes in parallel

  New features of the Shenandoah GC (Garbage Collector) in JDK 14 and how they reduce cleanup pauses.

• Fedora CoreOS – Security and Scalability for Containerized Workloads

  What is immutable base image and atomic management in Fedora CoreOS; how to deliver, how to start working, what to love.

• Fedora CoreOS Customization for Dedicated Workloads Using OSTree

  If you have already fallen in love – a continuation of the previous article, questions of setup and practical use are considered.

• What are the problems when debugging and inspecting binaries can arise from optimizing compilation

  Don’t waste time and nerves on program bugs – find out why you should abandon optimizing compilation in favor of the -Og option.

• Horizontal autoscaling of pods in OpenShift not by the number of CPUs, but by the amount of memory
  
• Cross-language optimization at link stage using Red Hat Developer Tools
• Red Hat OpenShift Container Platform Cheat Sheet – save to bookmarks! Caution, requires an email address.
  

  

Read at your leisure:

• Scientists have found a way to speed up the replacement of old and inaccurate data with new and accurate ones (unfortunately, this does not apply to school knowledge of life safety)
  
• Is it artificial intelligence or just automation? 6 ways to spot fake AI
• Create an upstream-to-downstream pipeline
• Fully automated Egress IP address management with egressip-ipam-operator
• Service mesh networks – more security, visibility and traffic control within Kubernetes

Activity:

• DevNation Tech Talk “Striving for Excellence: Java in Containers”

  Java in containers – what, why and how. We’ll also discuss image sizes, development and deployment processes.

• Master course “Kubernetes, Part II”

  Continuation of the previous master course with in-depth immersion in the subject.

• Red Hat Summit: Virtual Experience

In recording:

• DeploymentConfig vs Deployment
• Emperor “Operator”: Operators in OpenShift and Kubernetes
• OpenShift-specific magic for building and deploying apps
• Red Hat OpenShift and Machine API