/DevOps

Odin: Uber’s Stateful Platform

- Jesper Borlum Gianluca Mezzetti tl;dr: “The Odin platform aims to provide a unified operational experience by encompassing all aspects of managing stateful workloads. These aspects include host lifecycle, workload scheduling, cluster management, monitoring, state propagation, operational user interfaces, alerting, auto-scaling, and automation. Uber deploys stateful systems at global, regional, and zonal levels, and Odin is designed to manage these systems consistently and in a technology-agnostic manner.” This post provides an overview of Odin’s origins, the fundamental principles, and the challenges encountered early on. 

featured in #534


The State Of DevSecOps

tl;dr: An analysis of tens of thousands of applications and container images across thousands of cloud environments. This report assesses the security posture of applications today and evaluates the adoption of best practices that are at the core of DevSecOps—infrastructure as code, automated cloud deployments, secure application development practices, and more.

featured in #523


The State Of DevSecOps

tl;dr: An analysis of tens of thousands of applications and container images across thousands of cloud environments. This report assesses the security posture of applications today and evaluates the adoption of best practices that are at the core of DevSecOps—infrastructure as code, automated cloud deployments, secure application development practices, and more.

featured in #523


The DevSecOps Maturity Model

tl;dr: A blueprint for assessing and advancing your organization’s DevSecOps practices to detect vulnerabilities and deliver digital services with more confidence. 

featured in #496


Modern DevOps Transformation Begins With Static Code Analysis

tl;dr: Many organizations implementing DevOps are facing significant underperformance issues. Learn how integrating Sonar static code analysis solutions can address these transformative issues, propelling organizations towards more efficient and secure software development and improving the efficiency of the current DevOps processes.

featured in #490


The Scary Thing About Automating Deploys

- Sean McIlroy tl;dr: Sean delves into the complexities and strategies of automating deployments at scale, focusing on how Slack transitioned from manual oversight to using their automated tool for deployment processes in a high-change environment. “When people talk about continuous deployment, they’re often thinking about deploying to systems as soon as changes are ready. They talk about microservices and 2-pizza teams (~8 people). But what does continuous deployment mean when you’re looking at 150 changes on a normal day? That’s a lot of pizzas…" 

featured in #482


The DevSecOps Maturity Model

tl;dr: A blueprint for assessing and advancing your organization’s DevSecOps practices to detect vulnerabilities and deliver digital services with more confidence.

featured in #367


The Future of Ops Is Platform Engineering

- Charity Majors tl;dr: "In the beginning, there were people who wrote and ran software. At some point, we spun away ops skills from dev skills into two different professions, but that turned out to be a ginormous mistake, so along came DevOps to reunify them. Nowadays, ops as an independent profession is in the process of fading out. Companies are spinning down their ops teams left and right. Engineers who formerly identified as sysadmins or operations have turned into DevOps engineers, and soon there will just be “software people” again. This is the way of things."

featured in #361


11 Monitoring Requirements For Enterprise DevOps Teams

tl;dr: Isaac Johnson, a Principal Software Engineer and DevOps Architect with experience at multiple Fortune 500 companies, reveals the key capabilities he looks for when evaluating monitoring platforms for enterprise DevOps teams. He offers a candid look at common monitoring pain points and shows how to overcome them.

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9 Enablement Practices To Achieve DevOps At Enterprise Scale

tl;dr: Christian Oestreich, a senior software engineering leader with experience at multiple Fortune 500 companies, shares how to adopt a well-planned metrics-driven strategy that yields better quality code and lowers support costs.

featured in #353