Self-hosted AI coding assistant

https://github.com/TabbyML/tabby

The blog post recounts a real-world scenario where a Kubernetes API was overwhelmed by numerous requests, detailing the troubleshooting process and the implemented solution to stabilize the system. Through creating and deploying FlowSchema and PriorityLevelConfiguration manifests, the authors were able to manage request flows efficiently, thereby restoring and optimizing the Kubernetes cluster's performance

https://blog.palark.com/kubernetes-api-flow-control-management/

Mutating Webhook to dynamically add tolerations based on detected image architectures
https://github.com/PeterGrace/tolerable

The blog post elucidates the author's journey with Argo Workflows, highlighting its effectiveness for infrastructure automation and its advantage over Jenkins. Through personal experiences, the author shares mistakes made, lessons learned, and certain developed patterns to assist readers in avoiding similar pitfalls. The blog's objective is to impart the acquired knowledge and patterns which are conducive to a more efficient utilization of Argo Workflows
https://hodgkins.io/argo-workflow-proven-patterns-from-production

Local Volume CSI Provisioner for K8S

https://github.com/Protryon/lvp

A set of modern Grafana dashboards for Kubernetes.

https://github.com/dotdc/grafana-dashboards-kubernetes

The article on Depot highlights the introduction of on-demand Dockerfile linting to identify common linting issues, aiming to adhere to best practices for efficient Docker image creation. It lists the top 10 prevalent linting issues observed in Depot, elaborating on each problem and providing solutions to amend them, thus serving as a resource for improving Dockerfile writing practices
https://depot.dev/blog/dockerfile-linting-issues

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

https://github.com/ByteByteGoHq/system-design-101

Optimized and Maintenance-free Kubernetes on Hetzner Cloud in one command!

https://github.com/kube-hetzner/terraform-hcloud-kube-hetzner

The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams

https://github.com/ZachGoldberg/Startup-CTO-Handbook

A better kubectl explain with the fuzzy finder

https://github.com/keisku/kubectl-explore

AWS Reference Platform for Kubernetes + Data Services for use as a starting point in upbound.io to build, run, and operate your own internal cloud platform and offer a self-service console and API to your internal teams.

https://github.com/upbound/platform-ref-aws

The blog post elaborates on scaling Elasticsearch by optimizing the Cluster State, which isn't about the amount of data stored but the metadata's size and rate of change. The post suggests minimizing cluster state size by practices such as avoiding field overuse, distributing data across multiple clusters, and preferring fewer, larger nodes. These adjustments, alongside others like strict mappings and efficient alias usage, contribute to a more manageable and scalable Elasticsearch environment
https://sematext.com/blog/elasticsearch-scaling-cluster-state/

If you like this channel, you can support it. If you don't have an account in DO and what to have a simple cloud platform for development and running your project, you can register here by my referral link, https://m.do.co/c/0f8bec835d26 .
By this link, you get $200 in credit over 60 days.

A repository of reports of malicious packages identified in Open Source package repositories, consumable via the Open Source Vulnerability (OSV) format.

https://github.com/ossf/malicious-packages

Many of us are using nginx-ingress controller. But under the hood it's just an nginx. Sometimes it's useful to understand how the nginx works under the hood.
https://www.nginx.com/blog/inside-nginx-how-we-designed-for-performance-scale/

A Cloud Native Batch System (Project under CNCF)

https://github.com/volcano-sh/volcano

AWS Workshop for Kubernetes

https://github.com/aws-samples/aws-workshop-for-kubernetes

The article discusses the impact of Topology Aware Hints (TAH) on network traffic in Amazon Elastic Kubernetes Service (EKS). TAH, introduced in Kubernetes version 1.23, helps in routing traffic efficiently within the same Availability Zone (AZ) to benefit latency-sensitive workloads and reduce inter-AZ data transfer costs
https://aws.amazon.com/blogs/containers/exploring-the-effect-of-topology-aware-hints-on-network-traffic-in-amazon-elastic-kubernetes-service/

An edge-native container management system for edge computing
https://github.com/superedge/superedge