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How they SRE
Introduction
How They SRE How They SRE is a curated knowledge repository of Site Reliability Engineering (SRE) best practices, tools, techniques, and culture adopted by leading technology or tech-savvy organizations.
Numerous organizations frequently share their insights and expertise, encompassing best practices, tools, and techniques that shape their engineering culture. They do this through various public platforms such as engineering blogs, conferences, and meetups. This repository compiles and presents content gathered from these sources.
Topics
- Site Reliability Engineering
- Hiring and Building SRE teams
- SRE Culture
- DevOps
- Monitoring & Observability
- Alerting
- Incident Response & Post-Mortem
- On-Call
- Testing in Production
- Chaos Engineering
- Automation
- Performance
- Platform Engineering
Organizations
<details> <summary>Achievers</summary>Blog Posts
- Enter the Abattoir - Building 'à la carte' gitops tooling
- Scaling Production Globally — The service mesh facelift (Part-1)
- Scaling Production Globally - Solving observability problems for developers (Part-2)
- Load Testing Kubernetes: Building a Framework (Part-1)
- Load Testing Kubernetes: Resolving bottlenecks and improving performance (Part-2)
Blog Posts
- Automated Incident Management Through Slack
- Detecting Vulnerabilities With Vulnture
- Alerting Framework at Airbnb
- When The Cloud Gets Dark — How Amazon’s Outage Affected Airbnb
- Intelligent Automation Platform: Empowering Conversational AI and Beyond at Airbnb
- Production Secret Management at Airbnb
- Automating Data Protection at Scale, Part 1
- Automating Data Protection at Scale, Part 2
- Automating Data Protection at Scale, Part 3
- Dynamic Kubernetes Cluster Scaling at Airbnb
Blog Posts
</details> <details> <summary>Alibaba Cloud</summary>Blog Posts
- Why Are the Top Internet Companies Choosing SRE over Traditional O&M?
- Architecture and Practices of Bilibili's Real-time Platform
Blog Posts
- How Asana uses Asana: Security incident response
- How Asana ships stable web application releases
- Analysis of recent downtime & what we’re doing to prevent future incidents
- Developer environment: Achieving reliability by making it fast to reset
- Three security tactics for every IT leader to consider this fall
Blog Posts
- Playing the blame-less game
- A day in the life of… Cat S (Head of Reliability Engineering)
- An AKS Performance Journey: Part 1 — Sizing Everything Up
- An AKS Performance Journey: Part 2 — Networking It Out
- Cyber Security @ ASOS.com
- Security Operations 24x7
- The skills we look for in Cyber Security Incident Response
Blog Posts
- Best practices for change management in the age of DevOps
- Automated testing: 5 lessons from Atlassian’s Kubernetes team on testing infrastructure as code
- How to export Kubernetes events for observability and alerting
- Incident Postmortem Template
Blog Posts
</details> <details> <summary>Baidu</summary>Videos
- Anomaly Detection on Golden Signals
- NetRadar: Monitoring the Datacenter Network
- Let the Chaos Begin—SRE Chaos Engineering Meets Cybersecurity
Blog Posts
- Inside a CODE RED: Network Edition
- Three Basecamp outages. One week. What happened?
- Basecamp 2 and Basecamp 3 search outage report
- Reducing Incident Escalations at Basecamp
Books
</details> <details> <summary>Bloomberg</summary>Videos
- Capacity Planning and Performance Enhancement with Page Reference Sampling
- Why SREs can't afford to NOT do Chaos Engineering
- Tracing Real-Time Distributed Systems
- The Bloomberg Story: Building SRE Teams in an "Immeasurable" Organisation
- Visibility into Loggers (and Other Low Level Services)—Seeing the Trees from the Forest
Blog Posts
- How Reliability and Product Teams Collaborate at Booking.com
- Incidents, fixes, and the day after
- Troubleshooting: A journey into the unknown
Videos
- SLOs for Data-Intensive Services
- Benefits of Taking the Less Traveled Road with Containers Infrastructure
Blog Posts
- Automate Application Monitoring with Slack
- Automate AWS Infrastructure with Boto 3: AWS Health Check
- Active-Active Shared-Nothing Database Architecture
- The 3 R’s of SREs: Resiliency, Recovery & Reliability
- 5 Steps to Getting Your App Chaos Ready
- 4 Real-World Scenarios That Read Like Chaos Engineering Experiments
- Embrace the Chaos … Engineering
- 3 Lessons Learned From Implementing Chaos Engineering at Enterprise
- A Deep Dive Into Seamless Blue/Green Deployment Using AWS CodeDeploy
- Secure Docker Containers Require Secure Applications
- 4 Steps for Pairing the Cloud and DevOps to Improve Resiliency
- Container Ready Applications with Twelve-Factor App and Microservices Architecture
- Deploying with Confidence — Minimize Risk, Maximize Resiliency With Canary Deployments on AWS
- Architecting for Resiliency
- Continuous Chaos — Introducing Chaos Engineering into DevOps Practices
- The Mon-ifesto Part 1: Metrics
Major incidents & analysis reports
Videos
- Banking on Continuous Delivery - Capital One
- Continuous Chaos in DevOps - Capital One
- DevOps at Capital One: Focusing on Pipeline and Measurement
- Automating the Management of the Operational Health of Cloud Accounts at Scale
Blog Posts
</details> <details> <summary>DAZN</summary>Blog Posts
</details> <details> <summary>DBS</summary>Blog Posts
- Presenting at iThome’s SRE Conference: Our DBS SRE Transformation Journey Thus Far
- Debunking the seven most popular Site Reliability Engineering myths
- How To Use SRE To Cultivate A Blameless Culture In The Workplace
- Site Reliability Engineering at DBS Bank
- Automating Configuration Management at Scale
- How DBS dispelled the myths of Chaos Engineering
- Double, Double Toil and Trouble
Videos
</details> <details> <summary>DeepSource</summary>Blog Posts
- Redis diskless replication: What, how, why and the caveats
- How to setup Vault with Kubernetes
- Breaking down zero downtime deployments in Kubernetes
Blog Posts
- Deployment At Scale: Story Behind Dream11’s In-House Blue-Green Deployment Platform ‘OneClick’.
- Enhancing security and trust with AWS WAFv2
- Lessons learned from running GraphQL at scale
- Break circuits, save Kong 🦍
- Finding Order in Chaos: How We Automated Performance Testing with Torque
- Maintaining hyper-sonic releases at Dream11
- To Scale In Or Scale Out? Here’s How We Scale at Dream11
- Building Scalable Real Time Analytics, Alerting and Anomaly Detection Architecture at Dream11
Blog Posts
- Dropbox Engineering Career Framework - Reliability Engineer (SRE)
- Atlas: Our journey from a Python monolith to a managed platform
- Monitoring server applications with Vortex
- Athena: Our automated build health management system
Videos
</details> <details> <summary>eBay</summary>Blog Posts
- Resiliency and Disaster Recovery with Kafka
- SRE Case Study: Triaging a Non-Heap JVM Out of Memory Issue
- SRE Case Study: Mysterious Traffic Imbalance
- Zero Downtime, Instant Deployment and Rollback
- How eBay’s Notification Platform Used Fault Injection in New Ways
Video
</details> <details> <summary>Epic Games</summary>Video
</details> <details> <summary>Etsy</summary>Blog Posts
- Improving the Deployment Experience of a Ten-Year Old Application
- How Etsy Prepared for Historic Volumes of Holiday Traffic in 2020
- Your brain on progress
- Etsy’s Debriefing Facilitation Guide for Blameless Postmortems
- Opsweekly: Measuring on-call experience with alert classification
- Demystifying Site Outages
- Blameless PostMortems and a Just Culture
- Measure Anything, Measure Everything
Videos
</details> <details> <summary>Expedia</summary>Blog Posts
- Automating Performance Standards
- Error Budget Policy - Part 1 - Adoption at Expedia Group
- Error Budget Policy - Part 2 - Practices at Expedia Group
- Using Fault-Injection to Improve our new Runtime Platform’s Reliability
- Learning from Incidents at Expedia Group
- Improving Vrbo Homepage Loading Experience
- Troubleshooting 502 errors: ECS Checklist
- Getting Started with Elasticsearch
- All about ISTIO-PROXY 5xx Issues
- Autoscaling in Kubernetes: Why doesn’t the Horizontal Pod Autoscaler work for me?
- How to Keep Your Kubernetes Deployments Balanced Across Multiple zones
- Are Your Dropwizard Latency Metrics Misleading You?
- The Cost of 100% Reliability
- Creating Monitoring Dashboards
- Using Bash for DevOps
Videos
- SRE & Product Management: How to Level up Your Team (and Career!) by Thinking like a Product Manager
- Resilience Engineering Mythbusting
Blog Posts
- Our SRE Journey at G-Research
- The SRE Journey Continues
- OpenTSDB Meta Cache – trade-offs for performance
Blog Posts
</details> <details> <summary>GitHub</summary>Blog Posts
- How GitHub uses GitHub Actions and Actions larger runners to build and test GitHub.com
- The GitHub Security Lab’s journey to disclosing 500 CVEs in open source projects
- CodeQL team uses AI to power vulnerability detection in code
- Addressing GitHub’s recent availability issues
- Building organization-wide governance and re-use for CI/CD and automation with GitHub Actions
- Enabling branch deployments through IssueOps with GitHub Actions
- Using ChatOps to help Actions on-call engineers
- Partitioning GitHub’s relational databases to handle scale
- Increasing developer happiness with GitHub code scanning
- Why (and how) GitHub is adopting OpenTelemetry
- Improving large monorepo performance on GitHub
- Deployment reliability at GitHub
- Improving how we deploy GitHub
- Building On-Call Culture at GitHub
- Reducing flaky builds by 18x
- The evolving role of operations in DevOps
- Getting started with DevOps automation
- MySQL High Availability at GitHub
Major incidents & analysis reports
- GitHub Availability Report: August 2023
- GitHub Availability Report: July 2023
- GitHub Availability Report: June 2023
- GitHub Availability Report: May 2023
- GitHub Availability Report: April 2023
- GitHub Availability Report: March 2023
- GitHub Availability Report: February 2023
- GitHub Availability Report: January 2023
- GitHub Availability Report: December 2022
- GitHub Availability Report: November 2022
- GitHub Availability Report: October 2022
- GitHub Availability Report: September 2022
- GitHub Availability Report: August 2022
- GitHub Availability Report: July 2022
- GitHub Availability Report: June 2022
- GitHub Availability Report: May 2022
- GitHub Availability Report: April 2022
- GitHub Availability Report: March 2022
- GitHub Availability Report: February 2022
- GitHub Availability Report: January 2022
- GitHub Availability Report: December 2021
- GitHub Availability Report: November 2021
- GitHub Availability Report: October 2021
- GitHub Availability Report: September 2021
- GitHub Availability Report: August 2021
- GitHub Availability Report: July 2021
- GitHub Availability Report: June 2021
- GitHub Availability Report: May 2021
- GitHub Availability Report: April 2021
- GitHub Availability Report: March 2021
- GitHub Availability Report: February 2021
- GitHub Availability Report: January 2021
- GitHub Availability Report: December 2020
- GitHub Availability Report: November 2020
- GitHub Availability Report: August 2020
- GitHub Availability Report: July 2020
- Introducing the GitHub Availability Report
- February service disruptions post-incident analysis
- October 21 post-incident analysis
- February 28th DDoS Incident Report
- Incident Report: Inadvertent Private Repository Disclosure
Videos
</details> <details> <summary>GitLab</summary>Blog Posts
- This SRE attempted to roll out an HAProxy config change. You won't believe what happened next...
- My week shadowing a GitLab Site Reliability Engineer
- Update: Elasticsearch lessons learnt for Advanced Global Search
- Lessons in iteration from a new team in infrastructure
- How we optimized infrastructure spend at GitLab
- How we scaled async workload processing at GitLab.com using Sidekiq
- Inside GitLab: How we release software patches
- What tracking down missing TCP Keepalives taught me about Docker, Golang, and GitLab
- How we used delayed replication for disaster recovery with PostgreSQL
Blog Posts
- Deploying Software at GoCardless: Open-Sourcing our “Getting Started” Tutorial
- How we compress Pub/Sub messages and more, saving a load of money
- Fear-free PostgreSQL migrations for Rails
- Observability at GoCardless: a tale of API performance improvement
- Debugging the PostgreSQL query planner
- Zero-downtime Postgres migrations - the hard parts
- In search of performance - how we shaved 200ms off every POST request
Major incidents & analysis reports
- Incident review: Service outage on 25 October 2020, Vault TLS expiry
- Incident review: API and Dashboard outage on 10 October 2017
Blog Posts
- Kubernetes Gated Deployments
- Kubernetes External Secrets
- Kubernetes - A Practical Introduction for Application Developers
- An Intuitive Node.js Client for the Kubernetes API
Blog Posts
- Introducing Skynet: Infrastructure as Code for Gojek
- Scaling Our Geo-Search Service For 10x Load
- Why We Swear by the RCA
- How We Upgrade Kubernetes on GKE
- How We Monitor Apache Airflow in Production
Blog Posts
- SecDb Observability Journey
- Chaos Testing an Application on AWS
- Forecasting Capacity Outages Using Machine Learning to Bolster Application Resiliency
- Providing 99.9% Availability and Sub-Second Response Times with Sybase IQ Multiplexes by Using HAProxy
- Building Multi-Region Resiliency with Amazon RDS and Amazon Aurora
- Enabling Highly Available Trino Clusters at Goldman Sachs
- Observability at Scale
- Infrastructure and the Command Chain Pattern
- Mobile CICD with EC2 macOS
- Announcing CatchIT - Source Code Secret Scanner
- Building Platforms for Data Engineering
Blog Posts
- Accelerating incident response using generative AI
- Pitfalls and Patterns in Microservice Dependency Management
- SRE Practices & Processes
- Google site reliability using Go
- Three months, 30x demand: How we scaled Google Meet during COVID-19
- SRE Classroom: Distributed PubSub
- How SRE teams are organized, and how to get started
Videos
- What's the Difference Between DevOps and SRE? with Seth Vargo and Liz Fong-Jones of Google
- Risk and Error Budgets’ with Seth Vargo and Liz Fong-Jones of Google
- Pragmatic Automation’ with Max Luebbe of GCP
- Must Watch! - Google SRE YouTube Playlist
- Squish Level Objectives: How SRE can Help Align Technical Work to User Benefit
- Implementing Distributed Consensus
- The SRE I Aspire to Be
- SRE Classroom, Or, How to Design a Reliable Distributed System in 3 Hours
- Zero Touch Prod: Towards Safer and More Secure Production Environments
- All of Our ML Ideas Are Bad (and We Should Feel Bad)
- The Map Is Not the Territory: How SLOs Lead Us Astray, and What We Can Do about It
- Deploying SRE Training Best Practices to Production: How We SRE'ed Our SRE Education Program
- Bigtable: A Journey from Binary to Service and the Lessons Learned along the Way
- Practical Instrumentation for Observability
- What Is ML Ops: Solutions and Best Practices for DevOps of Production ML Services
- Unified Reporting of Service Reliability
- How to Trade off Server Utilization and Tail Latency
- Keeping the Balance: Internet-Scale Loadbalancing Demystified
- From Black Box to a Known Quantity: How to Build Predictable, Reliable ML-based Services
- Mindfulness in SRE: Monitoring and Alerting for One's Self
- Pragmatic Automation
- Sublinear Scaling in Practice: The 1k SRE Project
- Strategies to Edit Production Data
- The Curse of SRE Autonomy and How to Manage It
- Scaling SRE Organizations: The Journey from 1 to Many Teams
- SRE Classroom - How to Design a Distributed System in 3 Hours
- Using PRDs and User Journeys to Design User-Friendly Tools
- How Google SRE and Developers Work Together
- SREcon21 - Experiments for SRE
Blog Posts
- Our Journey to Continuous Delivery at Grab (Part 1)
- Our Journey to Continuous Delivery at Grab (Part 2)
- Designing Resilient Systems: Circuit Breakers or Retries? (Part 1)
- Designing Resilient Systems: Circuit Breakers or Retries? (Part 2)
- Designing Resilient Systems Beyond Retries (Part 3): Architecture Patterns and Chaos Engineering
- Orchestrating Chaos using Grab's Experimentation Platform
- How We Designed the Quotas Microservice to Prevent Resource Abuse
- How We Scaled Our Cache and Got a Good Night's Sleep
Blog Posts
</details> <details> <summary>Gusto</summary>Blog Posts
</details> <details> <summary>Halodoc</summary>Blog Posts
</details> <details> <summary>Heroku</summary>Blog Posts
</details> <details> <summary>IBM</summary>Blog Posts
</details> <details> <summary>Indeed</summary>Blog Posts
- Indeed SRE: An Inside Look
- Being Just Reliable Enough
- Automating Indeed’s Release Process
- Sloth, a Tool for Inducing Network Failures’ with Preetha Appan of Indeed.com
Videos
</details> <details> <summary>Indeed</summary>Blog Posts
</details> <details> <summary>Khan Academy</summary>Blog Posts
</details> <details> <summary>LinkedIn</summary>Blog Posts
- Rethinking site capacity projections with Capacity Analyzer
- Insights into a Product SRE team at LinkedIn
- Hiring SREs at LinkedIn
- Open source update: School of SRE
- Fixing Linux filesystem performance regressions
- Production testing with dark canaries
- Smart alerts in ThirdEye, LinkedIn’s real-time monitoring platform
- Iris mobile: An open source, mobile interface for incident management
- LinkedOut: A Request-Level Failure Injection Framework
- Eliminating toil with fully automated load testing
- The Makeup of Successful Geographically-Distributed SRE Teams: Part 1
- The Makeup of Successful Geographically-Distributed SRE Teams: Part 2
- Project STAR*: Streamlining Our On-Call Process
- Automating Your Oncall: Open Sourcing Fossor and Ascii Etch
- Resilience Engineering at LinkedIn with Project Waterbear
- Hiring SREs at LinkedIn, 2017
- Open Sourcing Iris and Oncall
- Building the SRE Culture at LinkedIn
- Failure is Not an Option
- MTTD and MTTR Are Key
- What Gets Measured Gets Fixed
Videos
- Growing the Site Reliability Team at LinkedIn: Hiring is Hard -- Greg Leffler
- 9 Years of Failure: How Racing Crappy Cars Made Me a Better SRE
- Weathering the Storm: How Early Warnings Save the Farm
- Unconference: Unsolved Problems in SRE
- Leading without Managing: Becoming an SRE Technical Leader
- Why Does (My) Monitoring Suck?
- Traffic Forecasting and Stress Testing Infrastructure
- Collective Mindfulness for Better Decisions in SRE
- TCP—Architecture, Enhancements, and Tuning
- Over 600 Million Members and Hundreds of Micro Services: How We Scaled Our Monitoring System to Keep up
- Understanding Business Metrics Can Make You a Better SRE
- Code-Yellow: Helping Operations Top-Heavy Teams the Smart Way
- Differences in SRE Implementations across Companies
Tools
</details> <details> <summary>Loggi</summary>Blog Posts
</details> <details> <summary>Loveholidays</summary>Blog Posts
- Dynamic alert routing with Prometheus and Alertmanager
- Making loveholidays 18% faster with HTTP/3
- Enforcing best practice on self-serve infrastructure with Terraform, Atlantis and Policy As Code
- The 5 principles that helped scale loveholidays
- Realtime Fastly logs with Grafana Loki for under $1 a day
Blog Posts
- Our DevSecOps journey with Golang
- Pipeline Configuration as Code with Kotlin
- DevOps and Segregation of Duties
- Macquarie embraces DevOps
- Scaling a Kubernetes Platform across the Enterprise
Blog Posts
- Monitoring Cloud Environments at Scale with Prometheus and Thanos
- How We Use Sloth to do SLO Monitoring and Alerting with Prometheus
Blog Posts
</details> <details> <summary>Mercari</summary>Blog Posts
- Who Watches the Watchmen? Keeping an Eye on Our Monitoring Systems
- What the Microservices SRE Team are doing as SRE Evangelists
- What it’s like to work as an embedded microservices SRE
- The Merpay SRE Team: Past and future
- Embedded SRE at Mercari
- What the SRE team wants to achieve with the development team
- DevSecOps: What Is It and Why Is It Gaining Momentum in the Industry?
- How do we share troubleshooting skills
- Datadog Dashboard at Scale w / Terraform
Blog Posts
- Leveraging AI for efficient incident response
- Improving Meta’s SLO workflows with data annotations
- SLICK: Adopting SLOs for improved reliability
- More details about the October 4 outage
- Update about the October 4th outage
Videos
- A Customer Service Approach to SRE
- How (Not) to Scale a Project: A Post-Mortem
- Releasing the World's Largest Python Site Every 7 Minutes
- Using ML to Automate Dynamic Error Categorization
Videos
- SLI & Reliability Deep-Dive’ with David N. Blank-Edelman of Microsoft
- Ironies of Automation: A Comedy in Three Parts’ with Tanner Lund of Microsoft
- Sustainable Software Engineering & SREs
- Study on Human Factors and Team Culture to Improve Pager Fatigue
- Prioritizing Trust While Creating Applications
- Building Resilience: How to Learn More from Incidents
- A Tale of Two Postmortems: A Human Factors View
- Availability—Thinking beyond 9s
- Ironies of Automation: A Comedy in Three Parts
- The Ops in Serverless
Blog Posts
- Prometheus High Availability and Fault Tolerance strategy, long term storage with VictoriaMetrics
- Managing hundreds of servers for load testing: Autoscaling, custom monitoring, DevOps culture
- Reliable load testing with regards to unexpected nuances
Blog Posts
- Autoscaling Monzo: How we optimise our platform to be just the right size
- How we’ve evolved on-call at Monzo
- How we respond to incidents
- How we monitor Monzo
Videos
Tools
</details> <details> <summary>Netflix</summary>Blog Posts
- Achieving observability in async workflows
- Building Netflix’s Distributed Tracing Infrastructure
- Lessons from Building Observability Tools at Netflix
- Edgar: Solving Mysteries Faster with Observability
- Telltale: Netflix Application Monitoring Simplified
- Keeping Customers Streaming — The Centralized Site Reliability Practice at Netflix
- Introducing Dispatch
- Applying Netflix DevOps Patterns to Windows
- ChAP: Chaos Automation Platform
- Starting the Avalanche
- Netflix Chaos Monkey Upgraded
- Chaos Engineering Upgraded
- Automated Failure Testing
- From Chaos to Control — Testing the resiliency of Netflix’s Content Discovery Platform
- Introducing Atlas: Netflix’s Primary Telemetry Platform
- FIT: Failure Injection Testing
- Announcing Security Monkey — AWS Security Configuration Monitoring and Analysis
- Lessons Netflix Learned from the AWS Outage
- Scryer: Netflix’s Predictive Auto Scaling Engine
Major incidents & analysis reports
Videos
- AWS re:Invent 2019: A day in the life of a Netflix engineer (NFX202)
- When /bin/sh Attacks: Revisiting "Automate All the Things"
- How Did Things Go Right? Learning More from Incidents
- Monitoring and Tracing @Netflix Streaming Data Infrastructure
- Real user performance monitoring at Netflix scale ‐ Martin Spier
- AWS re:Invent 2017 - Nora Jones Describes Why We Need More Chaos - Chaos Engineering, That Is
- AWS re:Invent 2017: Performing Chaos at Netflix Scale (DEV334)
- Netflix: Multi-Regional Resiliency and Amazon Route 53
- Designing Services for Resilience: Netflix Lessons
- South Bay SRE Meetup - Netflix Cloud Performance Team
- AWS re:Invent 2017: A Day in the Life of a Netflix Engineer III (ARC209)
- How Netflix Uses Kinesis Streams to Monitor Applications and Analyze Billions of Traffic Flows
- Mastering Chaos - A Netflix Guide to Microservices
- AWS re:Invent 2016: From Resilience to Ubiquity - #NetflixEverywhere Global Architecture (ARC204)
- SREcon 2016 - Netflix: 190 Countries and 5 CORE SREs
- From Sys Admin to Netflix SRE
- Application Resilience Engineering and Operations at Netflix with Hystrix
- Injecting Failure at Netflix
- LISA13 - How Netflix Embraces Failure to Improve Resilience and Maximize Availability
- Incident Management at Netflix Velocity
Podcasts
Tools
</details> <details> <summary>New Relic</summary>Blog Posts
- Defining Modern Software Roles: SREs at New Relic
- 10 Things Everybody Needs to Know About Site Reliability Engineering (SRE)
- What Tools Do Site Reliability Engineers Use?
- A Day in the Life of a New Relic SRE
- 7 Habits of Highly Successful Site Reliability Engineers
- Adopting the practice of SRE
- Using modern observability to establish a data-driven culture
Blog Posts
- Engineering operational excellence, a case of continuous improvement
- How we deal with technical incidents
- How we do On-Call Rotations at Nubank
- How we scale our data platform efficiently and reliably
- Why We Killed Our End-to-End Test Suite
- Automatic retraining for machine learning models: tips and lessons learned
Blog Posts
- March 20 ChatGPT outage: Here’s what happened
- OpenAI SRE and scaling explained easy.
- Scaling Kubernetes to 2,500 nodes
- Scaling Kubernetes to 7,500 nodes
- Scaling AI Infrastructure at OpenAI
Blog Posts
- Triggered: Incident #1234 (incident process needs fixing)
- Implementing Observability in a Service Mesh
- PostgreSQL at Scale: Database Schema Changes Without Downtime
- Scaling GraphQL at PayPal
Videos
- SREcon Conversations Asia/Pacific with Karthikeyan Selvaraj and Rajesh Ramachandran, PayPal
- SRE Then vs SRE Now: A Balancing Act between Reflexes and Intuitive Instincts at PayPal
- Detecting Service Degradation and Failures at Scale through Distributed Log Processing
- Operating Elasticsearch with Ease at Scale
- Ensuring Site Reliability through Security Controls
Blog Posts
</details> <details> <summary>Pinterest</summary>Blog Posts
- Ensuring High Availability of Ads Realtime Streaming Services
- Improving efficiency and reducing runtime using S3 read optimization
- Scaling Kubernetes with Assurance at Pinterest
- What we learned from an iOS app OOMs incident
- How we designed our Continuous Integration System to be more than 50% Faster
- Simplifying web deploys
- Upgrading Pinterest operational metrics
- Distributed tracing at Pinterest with new open source tools
- Auto scaling Pinterest
Videos
- Building Actionable Code Ownership
- Evolution of Observability Tools at Pinterest
- Automating OS/Platform Upgrades for Service Owners
Blog Posts
</details> <details> <summary>Prezi</summary>Blog Posts
- How to avoid global outage — Seamlessly migrating DaemonSet labels
- In search of speed — debugging Elasticsearch performance
- Prometheus at Prezi: replacing 10 years of anti-patterns
Blog Posts
- From Ops to SRE: Evolution of the OpenShift Dedicated Team
- 5 Agile Practices Every SRE Team Should Adopt
- 7 Best Practices for Writing Kubernetes Operators: An SRE Perspective
Blog Posts
- THE LEGENDS OF RUNETERRA CI/CD PIPELINE
- STRATEGIES FOR WORKING IN UNCERTAIN SYSTEMS
- IMPROVING THE DEVELOPER EXPERIENCE FOR OPERATING SERVICES
- SCALABILITY AND LOAD TESTING FOR VALORANT
- LEVERAGING GOLANG FOR GAME DEVELOPMENT AND OPERATIONS
- CONTROLLED CHAOS WITH FAULT INJECTION TESTING
- DOWN THE RABBIT HOLE OF PERFORMANCE MONITORING
- PROFILING: THE CASE OF THE MISSING MILLISECONDS
- PROFILING: REAL WORLD PERFORMANCE IN LEAGUE
- PROFILING: OPTIMISATION
- PROFILING: MEASUREMENT AND ANALYSIS
- RUNNING ONLINE SERVICES AT RIOT: PART I
- RUNNING ONLINE SERVICES AT RIOT: PART II
- RUNNING ONLINE SERVICES AT RIOT: PART III
- RUNNING ONLINE SERVICES AT RIOT: PART III: PART DEUX
- RUNNING ONLINE SERVICES AT RIOT: PART IV
- RUNNING ONLINE SERVICES AT RIOT: PART V
- THE EVOLUTION OF SECURITY AT RIOT
- RUNNING AN AUTOMATED TEST PIPELINE FOR THE LEAGUE CLIENT UPDATE
- AUTOMATED TESTING FOR LEAGUE OF LEGENDS
Blog Posts
- Looking at the Kubernetes Control Plane for Multi-Tenancy
- Optimizing EKS networking for scale
- Zero Downtime Node Patching in a Kubernetes Cluster
- How, Not Why: An Alternative to the Five Whys for Post-Mortems
- A Generic Sidecar Injector for Kubernetes
- Implementation of a monitoring strategy for products based on microservices
- 10 Steps to Develop an Incident Response Plan You’ll ACTUALLY Use
- Our Journey to a Near Perfect Log Pipeline
- Optimizing Performance with Web Workers
- Take A Moment To Refocus
Blog Posts
</details> <details> <summary>Scribd</summary>Blog Posts
- Learning from incidents: getting Sidekiq ready to serve a billion jobs
- A testimonial for using PagerDuty at Scribd
- Assigning pager duty to developers
Blog Posts
- Resiliency Planning for High-Traffic Events
- Capacity Planning at Scale
- Using DNS Traffic Management to Add Resiliency to Shopify’s Services
- Four Steps to Creating Effective Game Day Tests
- Implementing ChatOps into our Incident Management Procedure
- StatsD at Shopify
Videos
- Network Monitor: A Tale of ACKnowledging an Observability Gap
- Expect the Unexpected: Preparing SRE Teams for Responding to Novel Failures
- Advanced Napkin Math: Estimating System Performance from First Principles
Blog Posts
- It’s Just a Monitoring Change
- “What's the worst that could happen?”: A worked example of how we deal with live incidents
- Rising from the Ashes
- Crash! Bang! Wallop! Practice makes perfect
- Performance Left Right and Center
Blog Posts
- Slack’s Incident on 2-22-22
- Infrastructure Observability for Changing the Spend Curve
- Slack’s Outage on January 4th 2021
- A Terrible, Horrible, No-Good, Very Bad Day at Slack
- Deploys at Slack
- Disasterpiece Theater: Slack’s process for approachable Chaos Engineering
Videos
</details> <details> <summary>Slalom Build</summary>Blog Posts
- How to Implement Service Level Objectives in New Relic APM
- Beginners Guide to DevOps: How to Make It into the Industry
- GitHub Actions: Beyond CI/CD
- Why isn’t all test automation run on the pipeline?
- The Many Shapes of Site Reliability Engineering
- How to build a secure by default Kubernetes cluster with a basic CI/CD pipeline on AWS
- Secret Management Architectures: Finding the balance between security and complexity
- Detecting Malicious Requests with Keras & Tensorflow
- The Lego Monolith — A Monolith Microservice Proof of Concept
- Managing Secrets Using Hashicorp Vault
- Packaging Spring Boot Applications for Deployment on Kubernetes
- Immutable Infrastructure and Continuous Delivery in the Cloud
Blog Posts
- How to Successfully Hand Over Systems
- Building a Healthy On-Call Culture
- Alerting on SLOs like Pros
- Hands-Off Deployment with Canary
- Prometheus has come of age – a reflection on the development of an open-source project
- Prometheus: Monitoring at SoundCloud
- What I Learned in One Year as an SRE Trainee
- Tests Under the Magnifying Lens
Blog Posts
- Matt Clarke: Senior Backend Infrastructure Engineer
- Designing a Better Kubernetes Experience for Developers
- Techbytes: What The Industry Misses About Incidents and What You Can Do
- Automated Incident Response Infrastructure in GCP
Videos
</details> <details> <summary>Squarespace</summary>Blog Posts
Videos
- Pushing through Friction
- How to SRE When Everything's Already on Fire
- Case Study: Implementing SLOs for a New Service
- Creating a Code Review Culture
Blog Posts
- “This should never happen. If it does, call the developers.”
- Infrastructure as code: Create and configure infrastructure elements in seconds
- Fulfilling the promise of CI/CD
- A deeper dive into our May 2019 security incident
- Guest Post - Failing over without falling over
- How We Built Our Blog
- Stack Overflow Frees Up Engineering Time with Netlify
Videos
</details> <details> <summary>Strava</summary>Blog Posts
</details> <details> <summary>Stripe</summary>Blog Posts
- Fast and flexible observability with canonical log lines
- Fast builds, secure builds. Choose two.
- Introducing Veneur: high performance and global aggregation for Datadog
Videos
</details> <details> <summary>Target</summary>Blog Posts
- Ɔhaos Ǝnginǝǝring @ Target - Part 2
- Ɔhaos Ǝnginǝǝring @ Target - Part 1
- GoAlert - Your Future Open Source, On-Call Notification Product
Blog Posts
</details> <details> <summary>Tinder</summary>Blog Posts
- The Ultimate Load Test
- How We Improved Our Performance Using ElasticSearch Plugins: Part 1
- How We Improved Our Performance Using ElasticSearch Plugins: Part 2
- Tinder’s move to Kubernetes
Blog Posts
- Benefits of benchmarking with Go
- Simulating Customized Chaos in Golang using Toxiproxy
- How Tokopedia Rank Millions of Products in Search Page
Blog Posts
</details> <details> <summary>Twilio</summary>Blog Posts
</details> <details> <summary>Twitter</summary>Blog Posts
- Logging at Twitter: Updated
- Deleting data distributed throughout your microservices architecture
- Deterministic Aperture: A distributed, load balancing algorithm
- MetricsDB: TimeSeries Database for storing metrics at Twitter
- The Infrastructure Behind Twitter: Scale
- The infrastructure behind Twitter: efficiency and optimization
Blog Posts
- Founding Uber SRE
- Disaster Recovery for Multi-Region Kafka at Uber
- Engineering Failover Handling in Uber’s Mobile Networking Infrastructure
- Optimizing Observability with Jaeger, M3, and XYS at Uber
Videos
- A Tale of Two Rotations: Building a Humane & Effective On-Call
- Testing in Production at Scale
- A History of SRE at Uber’ with Rick Boone of Uber
Blog Posts
</details> <details> <summary>upGrad</summary>Blog Posts
- Web Performance and Related Stories — upgrad.com
- Beginner’s guide to web analytics
- iOS Continuous Deployment with Bitbucket, Jenkins and Fastlane at UpGrad
Blog Posts
Videos
</details> <details> <summary>Wikimedia Foundation</summary>Videos
</details> <details> <summary>Wix</summary>Blog Posts
- How We Improved Website Performance by Evolving Our Infrastructure
- Wix Inbox Journey: 3 Approaches for Zero Downtime Database Migration
- Moving Velo to Multiple Container Sites: The Why, The How and The Lessons Learned
- Making Order in CI/CD Mess
Blog Posts
Videos
</details> <details> <summary>Zalando</summary>Blog Posts
- Tracing SRE’s journey in Zalando - Part I
- Tracing SRE’s journey in Zalando - Part II
- Tracing SRE’s journey in Zalando - Part III
Blog Posts
</details> <details> <summary>Zomato</summary>Blog Posts
</details>SRECon Mix Playlist
Videos
- Adobe - The Good, the Bad and the Ugly: The 3 Learnings of an SRE
- Amdocs - SREs at Telecom and Media Industry: Bridging between Legacy and Cloud Native Apps
- Amazon - Confessions of a Systems Engineer: Learning from My 20+ Years of Failure
- Alaska Airlines - Capacity Prediction in External Services
- BuzzFeed - Optimizing for Learning
- BT - Challenges of Starting an SRE Team from Scratch in an Enterprise
- Cloudflare - Support Operations Engineering: Scaling Developer Products to the Millions
- Cloudlock - My Life as a Solo SRE
- Hudson River Trading - Fixing On-Call When Nobody Thinks It's (Too) Broken
- IBM - Why Automating Everything Adds to Your Toil
- Genesys - The Smallest Possible SRE Team
- Grafana Labs - SRE in the Third Age
- Kenna Security - Building a Scalable Monitoring System
- Lightstep - Building Service Ownership Using Documentation, Telemetry, and a Chance to Make Things Better
- MessageBird - Autopsy of a MySQL Automation Disaster
- Netlify - Perks and Pitfalls of Building a Remote First Team
- ReactiveOps - Zero to SRE
- Salesforce - Incident Response in Unfamiliar Sociotechnical Systems: One Incident Commander's Challenges Supporting Inter-organizational Anomaly Response in the Age of COVID-19
- Sprax - From Nothing to SRE: Practical Guidance on Implementing SRE in Smaller Organisations
- The New York Times - SRE by Influence, Not Authority: How the New York Times Prepares for Large-Scale Events
- Twitter - Hiring Great SREs
- United States Digital Service - Lessons Learned in Black Box Monitoring 25,000 Endpoints and Proving the SRE Team's Value
- Unity Technologies - Being Reasonable about SRE
- Udemy - How to Do SRE When You Have No SRE
- Vanguard - Cloudy with a Chance of Chaos
- WeWork - Learning from Learnings: Anatomy of Three Incidents
- Zendesk - Latency and Availability Error Budgets Done Right at Scale
Resources
Books
- New! Enterprise Roadmap to SRE
- Building Secure & Reliable Systems | Read free online version hosted by Google
- Site Reliability Engineering | Read free online version hosted by Google
- The Site Reliability Workbook from Google | Read free online version hosted by Google
- Training Site Reliability Engineers | Read free online version hosted by Google
- 97 Things Every SRE Should Know | Complimentary Copy from Nginx
- SLO Adoption and Usage in Site Reliability Engineering
- Practical Site Reliability Engineering
- Implementing Service Level Objectives
- Chaos Engineering
- Seeking SRE
- Security Chaos Engineering
- Chaos Engineering Observability
- Database Reliability Engineering
- What Is SRE?
- Database Reliability Engineering: What, Why, and How?
- Observability Engineering
- Chaos Engineering: Site reliability through controlled disruption
- Incident Metrics in SRE | Read free online version hosted by Google
- Engineering Reliable Mobile Applications
- Monitoring the SRE Golden Signals
- Site Reliability Engineering: Philosophies, habits, and tools for SRE success | Portable version
- 97 Things Every Cloud Engineer Should Know
- Real-World SRE
- Hands-on Site Reliability Engineering
Events
Other Resources
Awesome Lists
- Awesome SRE
- Awesome Site Reliability Engineering Tools
- Awesome Chaos Engineering
- Awesome Monitoring
- Awesome Observability
- Awesome MLOps
- ML-Ops.org
SRE Resources from various organizations
- Google SRE Page
- Google SRE Classroom
- Google Cloud SRE Page
- Microsoft SRE Page
- School of SRE from LinkedIn
- Stripe Increment Magazine Issue 16 on Reliability
- AWS Observability Recipes
- Awesome Sysadmin
Incidents & postmortems
- The Verica Open Incident Database
- Postmortem Templates
- Incident Review and Postmortem Best Practices
Newsletters
Credits
- Inspired by Howtheytest from Abhijeet Vaikar
- The list of organizations is referred from my other repo awesome-engineering
- Banner image Cartoon vector created by vectorjuice - www.freepik.com
Other How They... repos
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License
To the extent possible under law, Unmesh Gundecha has waived all copyright and related or neighboring rights to this work.
If you decide to use this anywhere, please credit @upgundecha on X. Also, if you like my work, check out my other projects on GitHub.