While Database-as-a-Service (DBaaS) solutions offer significant convenience and scalability, they also come with hidden costs that can affect long-term operational efficiency and expenses. This article from The New Stack explores the trade-offs associated with DBaaS, such as vendor lock-in, performance limitations, and higher costs at scale. Learn how to weigh the pros and cons of DBaaS to make more informed decisions about managing your database infrastructure.

https://thenewstack.io/the-hidden-cost-of-dbaass-convenience

Optimizing global message transit latency is a critical challenge for real-time applications that rely on fast and reliable message delivery. This article dives into the technical intricacies of TCP configuration, exploring how fine-tuning settings can minimize latency and enhance communication efficiency on a global scale. By leveraging insights into TCP behaviors and adjustments, readers can learn practical methods for optimizing message transit across networks.

https://ably.com/blog/optimizing-global-message-transit-latency-a-journey-through-tcp-configuration

As this channel, but for Python developers 🐍👨‍💻

🔗 Python notes

Linux Kernel Manager and Activity Monitor 🐧💻

https://github.com/orhun/kmon

A TUI playground to experiment with jq

https://github.com/noahgorstein/jqp

Debugging complex distributed systems often requires innovative solutions, especially when issues arise only in production environments. This article explores the concept of "production neighbors," a debugging technique that leverages similar workloads and configurations in neighboring systems to troubleshoot and resolve production issues effectively. Through real-world examples, readers can gain insights into how Uber's engineering team improves debugging efficiency and reduces downtime.

https://www.uber.com/en-IN/blog/debugging-with-production-neighbors/

Geo-scale, next-generation peer-to-peer sharing platform built on top of OpenZiti.

https://github.com/openziti/zrok

A fast reverse proxy to help you expose a local server behind a NAT or firewall to the internet.

https://github.com/fatedier/frp

Building a Kubernetes Admission Controller can be a powerful way to manage and enforce policies within a cluster, especially when dealing with specific infrastructure requirements. This article details the process of developing an Admission Controller using Kotlin to address an Azure Kubernetes Service (AKS) add-on issue related to User Defined Routes (UDR). It provides practical guidance on how to implement custom checks and configurations, helping developers better control Kubernetes behavior in AKS environments.

https://eggboy.medium.com/developing-kubernetes-admission-controller-with-kotlin-fixing-aks-add-on-issue-in-udr-23418ab21d56

Understanding the inner workings of container runtimes is essential for developers and DevOps professionals working with containerized applications. This article provides an in-depth look at how containers are spawned using runc, a low-level container runtime. By diving into the plumbing behind runc, readers can learn about the underlying processes and system calls involved in creating and managing containers, offering valuable insights into containerization fundamentals.

https://medium.com/@rishabhsvats/plumbing-of-spawning-container-with-runc-ed409ac02ae3

Maintaining true zero-downtime in Kubernetes rolling deployments is key to delivering a seamless experience for users and preserving active client connections. This article delves into effective strategies and techniques to manage Kubernetes deployments without interrupting ongoing sessions. By exploring solutions for connection stability and load distribution, it provides practical insights for achieving flawless, uninterrupted updates in live production setups.

https://kunmidevopstories.hashnode.dev/how-to-achieve-real-zero-downtime-in-kubernetes-rolling-deployments-avoiding-broken-client-connections

Auto generate READMEs for Helm Charts

https://github.com/bitnami/readme-generator-for-helm

Optimizing Kubernetes resource usage without incurring additional costs can significantly improve efficiency within GitOps pipelines. This article explains how to achieve zero-cost resource tuning, leveraging GitOps practices to fine-tune Kubernetes workloads. By focusing on resource allocation and automation, it offers a practical approach to refining performance and scaling resources effectively within a GitOps-driven environment.

https://itnext.io/zero-cost-kubernetes-resource-tuning-in-your-gitops-pipelines-fba02f1dd9da

Amazon S3 is a powerful storage solution, but managing it effectively can reveal unexpected complexities. This article highlights lesser-known aspects of S3 that can impact performance, security, and cost management. From data consistency issues to access controls, it provides insights into nuances that users often encounter, equipping them to handle S3 with a more informed approach.

https://www.plerion.com/blog/things-you-wish-you-didnt-need-to-know-about-s3

Helm Compose is a helm plugin for managing multiple releases of one or many charts within a single configuration file.

https://github.com/seacrew/helm-compose

🚀 Join Our DevOps & SRE Community! 🚀

Connect with fellow professionals, discuss posts, share insights, and stay updated on the latest trends. Let’s learn and grow together! 💡🔧

🗣 t.me/devops_sre_notes_dis

Becoming an expert in any field requires more than just time; it involves strategic learning, dedication, and continuous improvement. This article outlines actionable steps for mastering any skill, from setting clear goals to adopting effective study techniques. Readers will gain insights into building expertise methodically, helping them develop a structured approach to achieve proficiency in their chosen area.

https://newsletter.techworld-with-milan.com/p/how-to-become-an-expert-in-anything

Generate jsonschemas from helm charts.

https://github.com/dadav/helm-schema

Handling incidents effectively is essential for a data team’s success, especially when managing complex data systems. This article explores how the data team at Incident.io approaches incident response, detailing their strategies for quick detection, communication, and resolution. By sharing insights into their structured processes, it offers readers a glimpse into efficient data incident management and the tools that make it possible.

https://incident.io/blog/how-our-data-team-handles-incidents