While working on SLOs, SLAs and SLIs I have found that there are only so many ways to aggregate service metrics. I have not yet found somewhere that attempts to review the different aggregation methods and what their relative strengths and weaknesses are.

Know enough to be dangerous in 10 minutes

SPQR is a production-ready system for horizontal scaling of PostgreSQL via sharding. We appreciate any kind of feedback and contribution to the project.

There are multiple layers where the performance of Loki can be improved and fine-tuned. From optimising the query, channeling it efficiently for processing, to allocating the right computational resources, we will cover the following parameters that make a significant improvement to the performance.

GitOps doesn’t solve all deployment problems or even cover the entire deployment process, but it’s a solid foundational building block.

Fully cross platform dotfile manager and dev environment bootstrapper written in Rust.

This repository embodies a structured approach to organizing Terraform code with Terragrunt, focusing on reusability, ease of management, and scalability across multiple environments and cloud providers. It's crafted to guide teams in building robust cloud infrastructure that adheres to best practices and principles.

OneUptime is a comprehensive solution for monitoring and managing your online services. Whether you need to check the availability of your website, dashboard, API, or any other online resource, OneUptime can alert your team when downtime happens and keep your customers informed with a status page. OneUptime also helps you handle incidents, set up on-call rotations, run tests, secure your services, analyze logs, track performance, and debug errors.

Learn how to effectively implement emptyDir memory for pods, with hands-on use cases for temporary data handling in Kubernetes.

Let’s talk about how at Hepsiburada, we efficiently manage hundreds of Kubernetes clusters that directly handle about 95% of our over 100 million monthly visitor traffic. We’ll delve into the complexities of managing multiple clusters and discuss the strategies we employ to tackle these challenges.

In this article I will write about the horizontal autoscaling in kubernetes. The intended audience is the software developers and devops/SRE engineers with at least some elementary background in kubernetes interested in learning about auto-scaling. When I was learning this topic, I didn’t find a single straightforward article that explains all the relveant concepts, so I took the challenge and rolled one myself.

This article may be useful for those who are aware of service meshes and probably trying to improve scalability and connectivity between applications in Kubernetes and other container orchestration systems, e.g., adding encryption and authorization for application connections.

Optimizing the use of limited AI training accelerators