DEVOPS WEEKLY ISSUE #443 - 23rd June 2019

2 minute read

Interesting posts this week on what causes service outages, visualising cloud infrastructure, operational concerns with service mesh, how to think about serverless and new tools for testing configuration.

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News

A reminder that monoliths vs microservices is mainly a discussion of team organisational dynamics. This post looks specifically at cognitive load as a way to right-size service.
https://techbeacon.com/app-dev-testing/forget-monoliths-vs-microservices-cognitive-load-what-matters

Understanding a large cloud infrastructure is an interesting problem. The availability of APIs doesn’t immediately make things accessible in a useful way. This post shows what’s possible if you import that data into a graph database.
https://labs.spotify.com/2019/06/04/painting-a-picture-of-your-infrastructure-in-minutes/

An interesting analysis of a recent paper exploring what bugs actually cause production incidents in a large service. Error handling issues, timing bugs, data formats. A good list to consider for your services.
https://blog.acolyer.org/2019/06/21/what-bugs-cause-cloud-production-incidents/

Service Mesh technologies are picking up lots of interest at the moment, for good reasons. But there are operational complexities and downsides to consider and this post provides a useful summary of some of them.
https://glasnostic.com/blog/service-mesh-istio-limits-and-benefits-part-2

AWS provides a number of building-block services for CI/CD. This repository contains a fully working example of using CodeDeploy and CodeBuild and deploys an application from GitHub to EC2.
https://github.com/dvassallo/github-to-ec2-pipeline

An attempt to describe Serverless in terms of doctrine, with a range of suggestions for high-level principles to implement to gain the purported benefits.
https://medium.com/@PaulDJohnston/serverless-is-a-doctrine-not-a-technology-4193ccb66cfc

A detailed post looking at various sandboxing approaches for containers, from gvisor and IBM Nabla to Firecracker, Kata and unikernels.
https://unit42.paloaltonetworks.com/making-containers-more-isolated-an-overview-of-sandboxed-container-technologies/

Serverless is inherently interesting from a cost perspective. This post features some good gotchas and tips for avoiding being surprised by your bill as your usage grows.
https://epsagon.com/blog/dont-be-surprised-by-your-serverless-bill/

If you’re operating a Kubernetes cluster then knowing how to troubleshoot common issues is useful, and this post summarises hunting down issues with slow scheduling, high CPU usage, failed deployments and more.
https://medium.com/avitotech/kubernetes-issues-and-solutions-2baffe25f40b

Becoming a power user of the command line often means becoming familiar with various tools for parsing output and extracting some specific bit of data. This post is a nice introduction to tools like cut, head, tr, sed and awk.
https://mh9.codes/posts/slice-n-dice/

Tools

Conftest is a new tool I’ve been hacking on for writing tests against configuration files, using the Rego language from Open Policy Agent. It’s useful when authoring config or in a CI pipeline, and the repository has examples with Kubernetes, Terraform and Serverless configs.
https://github.com/instrumenta/conftest
https://garethr.dev/2019/06/introducing-conftest/

Yggdrasil is an Envoy control plane that configures listeners and clusters based off Kubernetes ingresses from multiple clusters. This allows you to have an envoy cluster acting as a mutli-cluster loadbalancer for Kubernetes.
https://github.com/uswitch/yggdrasil

Being on-call sucks. But, DevOps teams are finding ways to collaborate more and improve workflow visibility – leading to more efficient incident detection, response and remediation. Learn exactly how you can start making on-call suck less:
http://try.victorops.com/devopsweekly/making-on-call-suck-less-checklist

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