Book Image

Becoming a Rockstar SRE

By : Jeremy Proffitt, Rod Anami
Book Image

Becoming a Rockstar SRE

By: Jeremy Proffitt, Rod Anami

Overview of this book

Site reliability engineering is all about continuous improvement, finding the balance between business and product demands while working within technological limitations to drive higher revenue. But quantifying and understanding reliability, handling resources, and meeting developer requirements can sometimes be overwhelming. With a focus on reliability from an infrastructure and coding perspective, Becoming a Rockstar SRE brings forth the site reliability engineer (SRE) persona using real-world examples. This book will acquaint you the role of an SRE, followed by the why and how of site reliability engineering. It walks you through the jobs of an SRE, from the automation of CI/CD pipelines and reducing toil to reliability best practices. You’ll learn what creates bad code and how to circumvent it with reliable design and patterns. The book also guides you through interacting and negotiating with businesses and vendors on various technical matters and exploring observability, outages, and why and how to craft an excellent runbook. Finally, you’ll learn how to elevate your site reliability engineering career, including certifications and interview tips and questions. By the end of this book, you’ll be able to identify and measure reliability, reduce downtime, troubleshoot outages, and enhance productivity to become a true rockstar SRE!
Table of Contents (27 chapters)
1
Part 1 - Understanding the Basics of Who, What, and Why
5
Part 2 - Implementing Observability for Site Reliability Engineering
10
Part 3 - Applying Architecture for Reliability
16
Part 4 - Mastering the Outage Moments
20
Part 5 - Looking into Future Trends and Preparing for SRE Interviews

Staying ahead with capacity planning

Capacity planning was vital to upholding operations not long ago, and it’s still critical for traditional on-premises IT. In a world of hybrid multi-cloud computing, swift and precise predictions on the growth of the computing and networking capacity are still mandatory when hardware acquisition takes weeks and costs a lot. In the cloud computing era, and with the virtualization of many hardware functions, the importance of capacity planning is shifting from business survival to cost optimization.

Even with per-use payment and virtually unlimited resources available to businesses using hyperscalers, there is a growing concern in terms of cloud infrastructure costs and pricing models. Having a good idea of how the application workload expands (and how fast) is a standard way of planning for new virtual machines, clusters, or serverless environments. Reserving cloud services beforehand is suitable for staying prepared but also optimizes...