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--- devops [2018/02/20 09:29] – skipidar
+++ devops [2025/03/07 23:50] (current) – skipidar
@@ Line 3: / Line 3: @@
 What Is DevOps, Anyway?
-**Approach to culture, automation, and platform design to provide better business value and responsiveness
+**Approach to **culture**, **automation**, and **platform design** to provide better business value and responsiveness
 ** \\
-**Goal**: Increase speed and flexibility with which new features and services are delivered
+**Goal**: Increase **speed** and **flexibility** with which new features and services are delivered
 https://en.wikipedia.org/wiki/DevOps
+How it it different from SRE
+{{https://s3.eu-central-1.amazonaws.com/alf-digital-wiki-pics/sharex/dTwuGUYFvl.png}}
+== Why are DevOps goals: speed and responsiveness - important? ==
+{{https://lh3.googleusercontent.com/-bLBTYR4u40Q/WtceiikFV1I/AAAAAAAAAJc/EgY5mIxPIdsKGG6V9guiXjLmLhxcXqulgCHMYCw/s0/2018-04-18_12-31-34.png}}
+See https://www.slideshare.net/helgetenno/technology-will-disrupt/7-PART2FUNDAMENTALCHANGESINTHENATUREOFCONSUMPTION
 Tools
@@ Line 34: / Line 44: @@
 |Rolling Deployment| Start one new instance, check health, stop one old. Repeat. |
 |Recreate Deployment strategy | Stop old, start new. |
+=== DORA and Metrics ===
+https://dora.dev/guides/dora-metrics-four-keys/#:~:text=Change%20lead%20time%20%2D%20This%20metric,changes%20are%20deployed%20to%20production.
+DORA stands for DevOps Research and Assessment https://dora.dev/. It's a framework developed by a team at Google specifically to measure the performance of DevOps teams.
+DORA isn't a set of practices, but rather a way to assess how well your DevOps practices are working  by focusing on four key metrics:
+  * Deployment Frequency: How often does your team deploy code to production?
+  * Mean Lead Time for Changes: How long does it typically take to get a code change from commit to production?
+  * Change Failure Rate: How often do deployments fail?
+  * Time to Restore Service: How long does it take to recover from a deployment failure?
+By tracking these metrics,  teams can identify areas for improvement and  work towards becoming high-performing DevOps teams. These high performing teams are typically able to deploy code more frequently, with fewer failures, and recover from failures more quickly.
+https://cloud.google.com/devops?hl=de
+{{https://s3.eu-central-1.amazonaws.com/alf-digital-wiki-pics/sharex/57vE08xXEZ.png}}