The article explores how W. Edwards Deming's principles can revolutionize cybersecurity strategies. Highlighting Deming's emphasis on quality, systemic thinking, and continuous improvement, the piece argues for a profound transformation in managing cybersecurity challenges. It calls for integrating Deming's philosophies into cybersecurity practices to create more resilient and secure digital environments, underscoring the relevance of his approach in today's complex cyber landscape.https://itrevolution.com/articles/out-of-the-cyber-crisis-deming-in-the-world-of-cybersecurity/

aws2tf - automates the importing of existing AWS resources into Terraform and outputs the Terraform HCL code.
https://github.com/aws-samples/aws2tf

🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
https://github.com/vanna-ai/vanna

The article offers five practical tips for managing AWS security groups more effectively using Terraform. It aims to help DevOps engineers and cloud architects streamline their security configurations, ensuring that infrastructure is both secure and efficient. By adopting these strategies, readers can expect to improve their workflow, enhance security measures, and reduce the complexity associated with managing multiple security groups across their AWS environment.
https://blog.avangards.io/5-tips-to-efficiently-manage-aws-security-groups-using-terraform

The blog post on delves into Kubernetes taints and tolerations, offering a comprehensive guide on how these mechanisms work to control pod scheduling. It explains the concepts of taints and tolerations in Kubernetes, illustrating how they enable finer control over where pods can or cannot be scheduled on nodes, based on various factors. This guide is particularly useful for those looking to ensure that their Kubernetes clusters are utilized efficiently and securely.
https://dour-aftermath-9c9.notion.site/Kubernetes-taints-and-tolerations-b94a8a2819764c91ac85cb75435bec4a

Repository for out-of-tree scheduler plugins based on scheduler framework.
https://github.com/kubernetes-sigs/scheduler-plugins

Deploy workloads from Git to large fleets of Kubernetes clusters
https://github.com/rancher/fleet

The blog post discusses the integration and enhancement of Grafana OnCall within the broader Grafana ecosystem. The article highlights the improvements made to streamline incident response and management by connecting Grafana OnCall more closely with other Grafana tools, thereby reducing redundancy and context-switching. This development promises a more efficient workflow, allowing users to address incidents more quickly and effectively.
https://grafana.com/blog/2024/03/29/a-better-grafana-oncall-seamless-workflows-with-the-rest-of-grafana-cloud/

Testing in Production - Synthetic Monitoring on Rust
https://github.com/prodzilla/prodzilla

The blog post on Palark's website delves into the advantages, architecture, and real-world applications of using Vector for log collection in Kubernetes environments. Authored by Maksim Nabokikh, a software engineer with extensive experience in utilizing Vector, the article shares insights into efficient log management, enhancing observability, and streamlining operations within Kubernetes platforms. It emphasizes Vector's lightweight, ultra-fast capabilities for building observability pipelines and its adaptability across different data types, particularly focusing on log collection.
https://blog.palark.com/vector-log-collection-kubernetes/

The article by Arsh Sharma provides a beginner-friendly guide to integrating Argo CD with GitHub Actions, illustrating a seamless workflow for continuous deployment on Kubernetes. It explains how to leverage the strengths of both Argo CD for Kubernetes deployment management and GitHub Actions for CI/CD pipelines, offering practical steps and insights for setting up a robust deployment process.
https://arshsharma.com/posts/2023-10-14-argocd-github-actions-getting-started/

A Kubernetes controller to watch changes in ConfigMap and Secrets and do rolling upgrades on Pods with their associated Deployment, StatefulSet, DaemonSet and DeploymentConfig
https://github.com/stakater/Reloader

🔦 Alerts for Kubernetes
https://github.com/searchlight/searchlight

E1S - Easily Manage AWS ECS Resources in Terminal(~k9s for ECS) 🐱
https://github.com/keidarcy/e1s

Subscribe to AWS Morning Brief Podcast
https://news.1rj.ru/str/AWSMorningBriefPodcast

Peirates - Kubernetes Penetration Testing tool
https://github.com/inguardians/peirates

The article explores the concept of local-first software. This approach advocates for software that ensures user ownership and control over their data, emphasizing principles like offline functionality, device independence, secure and private data handling, and long-term data preservation. Through examining various data storage and sharing models and the potential of Conflict-free Replicated Data Types (CRDTs), the authors propose a shift from cloud-centric to local-first applications, aiming to combine the benefits of cloud collaboration with the sovereignty of personal data ownership.
https://www.inkandswitch.com/local-first/

The article is a reflective piece by Jack Lindamood, detailing his experiences and lessons learned from managing infrastructure at a rapidly scaling startup. Jack discusses his decisions regarding various technologies and practices, such as AWS services, Kubernetes, GitOps, and more. He categorizes these decisions into ones he endorses, regrets, or feels ambivalent about, providing insights into the practical implications of each choice for startup infrastructure development.
https://cep.dev/posts/every-infrastructure-decision-i-endorse-or-regret-after-4-years-running-infrastructure-at-a-startup/

Grafana has deprecated Grafana agent and launch a new Alloy project for replacement

Grafana Agent, our existing OSS telemetry agent, and Grafana Agent Operator are now deprecated and will enter into Long-Term Support (LTS) beginning today (April 9, 2024)

Commercial support will end after the LTS phase, which we anticipate will extend for about 18 months until October 31, 2025. End-of-Life (EOL) phase for Grafana Agent and Grafana Agent Operator will begin once LTS ends. Grafana Agent and the Grafana Agent Operator are expected to reach EOL on November 1, 2025. 

https://grafana.com/blog/2024/04/09/grafana-alloy-opentelemetry-collector-with-prometheus-pipelines/

Kubernetes driver extension of the Chaos Toolkit probes and actions API
https://github.com/chaostoolkit/chaostoolkit-kubernetes

Good article about average-load testing
https://grafana.com/blog/2024/01/30/average-load-testing/