DevOps&SRE Library

Eight Pillars of Fault-tolerant Systems:
- Redundancy and Replication
- Load balancing
- Modularity
- Graceful degradation
- Circuit breaker
- Fail-fast
- Retries
- Rate limiting

HyperDX helps engineers figure out why production is broken faster by centralizing and correlating logs, metrics, traces, exceptions and session replays in one place. An open source and developer-friendly alternative to Datadog and New Relic.

Skipper is an HTTP router and reverse proxy for service composition. It's designed to handle >300k HTTP route definitions with detailed lookup conditions, and flexible augmentation of the request flow with filters. It can be used out of the box or extended with custom lookup, filter logic and configuration sources.

In this blog post, we will learn what are multi-arch container images? How it works? How to build and promote them? and we will write a sample code for building a multi-arch image in the CI/CD pipeline.

Reducing Cloudwatch Log Costs by 80% with Firehose, S3 and Athena

Today I want to talk about metric queries. More specifically, I want to talk about an important concept that is going to make your queries run faster, give you more accurate results, and make your Grafana Loki operators (like me) much happier.

Maximize Your Serverless Success with the Complete AWS Lambda Monitoring Guide

etcdadm is a command-line tool for operating an etcd cluster. It makes it easy to create a new cluster, add a member to, or remove a member from an existing cluster. Its user experience is inspired by kubeadm.

Launchpad is a command-line tool that lets you easily create applications on Kubernetes.

In practice, Launchpad works similar to Heroku or Vercel, except everything is on Kubernetes.

In this post, we describe the motivation, advantages, and development of ClickHouse Keeper and preview our next planned improvements. Moreover, we introduce a reusable benchmark suite, which allows us to simulate and benchmark typical ClickHouse Keeper usage patterns easily. Based on this, we present benchmark results highlighting that ClickHouse Keeper uses up to 46 times less memory than ZooKeeper ​​for the same volume of data while maintaining performance close to ZooKeeper.

A modern way to building a complete workflow from Local to Production, with Skaffold and Gitlab on a Kubernetes cluster, to reduce cognitive load and operational complexity in application stacks.