DevOps and Cloud InfoQ Trends Report - July 2021
https://www.infoq.com/articles/devops-and-cloud-trends-2021
https://www.infoq.com/articles/devops-and-cloud-trends-2021
Achieving observability in async workflows
https://netflixtechblog.com/achieving-observability-in-async-workflows-cd89b923c784
https://netflixtechblog.com/achieving-observability-in-async-workflows-cd89b923c784
Distributed Tracing with OpenTelemetry and Jaeger
https://iqfarhad.medium.com/distributed-tracing-with-opentelemetry-and-jaeger-e21e53b5c24e
https://iqfarhad.medium.com/distributed-tracing-with-opentelemetry-and-jaeger-e21e53b5c24e
How to Debug CPU Overuse in Ruby Applications
https://engineering.solarisbank.com/how-to-debug-cpu-overuse-in-ruby-applications-7ebc5cbbf557
https://engineering.solarisbank.com/how-to-debug-cpu-overuse-in-ruby-applications-7ebc5cbbf557
Improving your observability: Creating Metrics from your Logs
https://medium.com/adidoescode/improving-your-observability-creating-metrics-from-your-logs-9ae8de9299f4
https://medium.com/adidoescode/improving-your-observability-creating-metrics-from-your-logs-9ae8de9299f4
OpenTelemetry in client libraries
https://neskazu.medium.com/opentelemetry-in-client-libraries-96136d441f0b
https://neskazu.medium.com/opentelemetry-in-client-libraries-96136d441f0b
HTTP Status Codes
httpstatuses.com is an easy to reference database of HTTP Status Codes with their definitions and helpful code references all in one place.https://httpstatuses.com
turbolift
A simple tool to help apply changes across many GitHub repositories simultaneouslyhttps://github.com/Skyscanner/turbolift
Cloud Cost Handbook
The Cloud Cost Handbook is a free, open-source, community-supported set of guides meant to help explain often-times complex pricing of public cloud infrastructure and service providers in easy-to-understand terms.https://handbook.vantage.sh
A tcpdump Tutorial with Examples — 50 Ways to Isolate Traffic
https://danielmiessler.com/study/tcpdump
https://danielmiessler.com/study/tcpdump
4 Key Observability Metrics for Distributed Applications
https://hackernoon.com/4-key-observability-metrics-for-distributed-applications-z11337yh
https://hackernoon.com/4-key-observability-metrics-for-distributed-applications-z11337yh
Unpacking Observability: Understanding Logs, Events, Traces, and Spans
https://medium.com/dzerolabs/observability-journey-understanding-logs-events-traces-and-spans-836524d63172
https://medium.com/dzerolabs/observability-journey-understanding-logs-events-traces-and-spans-836524d63172
ON THE EVILNESS OF FEATURE BRANCHING - A TALE OF TWO TEAMS
On the experience of working with two totally different teams: one novice practising trunk-based development, the other very experienced being used by GitFlow.https://thinkinglabs.io/articles/2021/07/14/on-the-evilness-of-feature-branching-a-tale-of-two-teams.html
Behind the scenes, AWS Lambda
Writing code and deploying it to AWS Lambda is as easy as baking a cake (depending on the type of cake). Lambda performs the heavy lifting for you, from provisioning to scaling. But where is the magic happening and how does it actually work under the hood? Lets find out together!https://www.bschaatsbergen.com/behind-the-scenes-lambda
Automatic Remediation of Kubernetes Nodes
https://blog.cloudflare.com/automatic-remediation-of-kubernetes-nodes
https://blog.cloudflare.com/automatic-remediation-of-kubernetes-nodes