Let's be honest, nobody loves surveys. Ok, well I sure don't. But surveys satisfy a huge need in our demand for insights into complex human-computer, sociotechnical systems. It turns out that we've been measuring the computer part pretty well, but the humans – not as easy to keep track of. When Google SRE first defined toil as a metric we wanted to reduce, we spent far too long trying to quantify it numerically based on tooling and insights from computer systems.

A guide to set practical Service Level Objectives (SLOs) & Service Level Indicators (SLIs) for your Site Reliability Engineering practices.

One of the key attributes of DevOps and SRE engineers is their ability to meticulously observe and monitor all of their applications. A task which can be achieved more efficiently by centralizing all generated logs to a central endpoint. By centralizing logging, engineers can, at any time, have an accurate overview of all events which take place across their applications, from just one place. Storing logs in an external system also allows companies to ensure compliance with many certifications.

Is your incident response held together by a thread? Are you manually recording incident updates in a shared doc? Do you struggle to juggle the incident management workload with your other responsibilities? Does everyone on-call report data the same way? These are all common problems faced by DevOps teams still relying on homegrown incident management tooling.

‍ Service Level Management, or SLM, is defined as the process of negotiating Service Level Agreements and ensuring that they are met. ‍ Service Level Management is a fundamental part of SRE and DevOps. It encompasses the expectations and perceptions that both the business and the customer have about the service and its performance. Service level management will include existing and new services as they are added, with the service level agreements (SLAs) being modified accordingly.