DevOps & SRE notes

Lawrence Jones discusses the challenges of ensuring that an incident management system can alert its own team during outages.

https://incident.io/hubs/building-on-call/who-watches-the-watchers

Chaos snake for Kubernetes. Chaos engineering combined with a classic snake game.

https://github.com/deggja/chaossnake

Define sleep & wake up cycles for your Kubernetes resources. Automatically schedule to shutdown Deployments, CronJobs, StatefulSets and HorizontalPodAutoscalers that occupy resources in your cluster and wake them up only when you need them, reducing that way the overall power consumption.

https://github.com/rekuberate-io/sleepcycles

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In this article "Solutions to the Lost Update Problem," Sönke Ruempler addresses the challenges of concurrent transactions leading to lost updates in database systems.

https://ruempler.eu/2024/11/25/solutions-to-the-lost-update-problem/

In the blogpost examined how increasing CPU utilization can lead to higher latency, affecting overall system performance. Through various experiments, they observed that as CPU usage rises, latency increases, highlighting the importance of optimizing system efficiency to maintain performance under varying loads. citeturn0search0

https://github.blog/engineering/architecture-optimization/breaking-down-cpu-speed-how-utilization-impacts-performance/

Runbook automation platform with deep observability integrations for SRE & On-Call Teams

https://github.com/DrDroidLab/playbooks

The mighty, self-hostable Git server for the command line🍦

https://github.com/charmbracelet/soft-serve

Richard Artoul explores the distinctions between "shared nothing" and "shared storage" architectures, particularly within data streaming contexts. He highlights how shared storage systems, by decoupling data from metadata, offer enhanced flexibility and scalability compared to traditional shared-nothing models. citeturn0search0
https://www.warpstream.com/blog/the-case-for-shared-storage

In his article "TTR: the out-of-control metric," Lorin Hochstein critiques the application of the Time-to-Resolve (TTR) metric in incident management. He argues that since incidents represent periods when systems are out of control, applying statistical analyses to TTR is ineffective and does not lead to meaningful improvements.

https://surfingcomplexity.blog/2024/11/23/ttr-the-out-of-control-metric/

OpenTofu / Terraform / Terragrunt and Atmos version manager

https://github.com/tofuutils/tenv

An operator to manage ephemeral Kubernetes resources 🐝

https://github.com/NCCloud/mayfly

The blogpost highlights potential security risks associated with automating Terraform lifecycle management. It discusses how malicious actors can exploit vulnerabilities in Terraform automation platforms, such as Hashicorp Cloud and Atlantis, by creating custom providers or using data sources to execute malicious code during the terraform plan phase. This can lead to unauthorized access to sensitive cloud credentials, compromising entire cloud environments. The article emphasizes the need for secure defaults and validation mechanisms in these platforms to mitigate such risks

https://snyk.io/blog/gitflops-dangers-of-terraform-automation-platforms/

The article "Autoscaling with Keda and Prometheus Using Custom Metrics in Go" on *Medium* provides a detailed guide on how to implement autoscaling in Kubernetes using Keda and Prometheus. It demonstrates creating custom Prometheus metrics in a Go application, deploying it on Kubernetes, and configuring Prometheus to scrape these metrics. The article then shows how to integrate Keda with Prometheus to scale pods based on custom metrics, such as the number of HTTP requests or product orders, ensuring dynamic resource allocation during varying traffic conditions.


https://medium.com/vakifbank-teknoloji/autoscaling-with-keda-and-prometheus-using-custom-metrics-in-go-558a64668fc4

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Kuzco reviews your Terraform and OpenTofu resources, compares them to the provider schema to detect unused parameters, and uses AI to suggest improvements and fixes

https://github.com/RoseSecurity/Kuzco

Retry a command with exponential backoff and jitter (+ Starlark expressions)

https://github.com/dbohdan/recur

The author provides a comprehensive guide to building a REST API hosted on AWS API Gateway with a backend on AWS Lambda and a database on DynamoDB. The guide includes setting up AWS services using Terraform, creating a Lambda function to perform CRUD operations on DynamoDB, and implementing authentication with Amazon Cognito to secure certain routes

https://awstip.com/a-step-by-step-guide-on-deploying-rest-api-using-api-gateway-lambda-cognito-terraform-f277814d048e

The blogpost addresses the challenges engineering managers face in maintaining their technical skills amidst busy schedules. It suggests that instead of trying to dedicate a significant portion of their time to hands-on technical work, managers can leverage their team's diversity and projects to stay updated. This involves guiding team members through experimental projects, learning from their experiences, and teaching junior engineers, which helps maintain a technical edge without compromising work-life balance

https://medium.com/engineering-managers-journal/real-ways-to-maintain-your-technical-edge-as-an-engineering-manager-25652fa1495c

Goliat - Dashboard is an open-source tool for managing, visualizing, and optimizing Terraform deployments, with integration to Terraform Cloud and a custom provider.

https://github.com/danieljsaldana/goliat-dashboard