Measuring developer productivity is a difficult challenge. Conventional metrics focused on development cycle time and throughput are limited, and there aren't obvious answers for where else to turn. Qualitative metrics offer a powerful way to measure and understand developer productivity using data derived from developers themselves. Organizations should prioritize measuring developer productivity using data from humans, rather than data from systems.

Grafana Mimir is our open source, horizontally scalable, multi-tenant time series database, which allows us to ingest beyond 1 billion active series. Mimir ingesters use consistent hashing, a distributed hashing technique for data replication. This technique guarantees a minimal number of relocation of time series between available ingesters when some ingesters are added or removed from the system.

Unfortunately, we noticed that the consistent hashing algorithm previously used by Mimir ingesters caused an uneven distribution of time series between ingesters, with load distribution differences going up to 25%. As a consequence, some ingesters were overwhelmed, while the others were underused. In order to solve this problem, we came up with a novel algorithm, called spread-minimizing token generation strategy, that allows us to benefit from the consistent hashing on one side and from an almost perfect load distribution on the other side.

Uniform load balancing optimizes network performance and reduces latency as the demand is equally distributed among ingesters. This allows for better usage of compute resources, which leads to more consistent performance. In this blog post, we introduce our new algorithm and show how it improved ingesters load balancing in some of our production clusters for Grafana Cloud Metrics (which is powered by Mimir) to the degree that it’s now almost perfect.

This blog post describes Uber’s journey towards utilizing hardware efficiently via better load balancing. The work described here lasted over a year, involved engineers across multiple teams, and delivered significant efficiency savings. The article covers the technical solutions and our discovery process to get to them–in many ways, the journey was harder than the destination.

OpenStatus is open-source synthetic monitoring platform with beautiful status page and incident management. We are building it publicly for everyone to see our progress. We believe great softwares are built this way.

jnv is designed for navigating JSON, offering an interactive JSON viewer and jq filter editor.

Retina is a cloud-agnostic, open-source Kubernetes network observability platform that provides a centralized hub for monitoring application health, network health, and security. It provides actionable insights to cluster network administrators, cluster security administrators, and DevOps engineers navigating DevOps, SecOps, and compliance use cases.

Note: This blog post demonstrates how to create a lightweight Internal Developer Platform without relying on Backstage, while still empowering you and your developers with a self-service approach. By utilizing GitOps with Argo CD and leveraging Kubernetes labels, this method offers a streamlined and efficient solution for managing and deploying your infrastructure.

A node autoscaler project for Proxmox allowing a Kubernetes cluster to dynamically scale across a Proxmox cluster.

The local volume static provisioner manages PersistentVolume lifecycle for pre-allocated disks by detecting and creating PVs for each local disk on the host, and cleaning up the disks when released. It does not support dynamic provisioning.

Alaz is an open-source Ddosify eBPF agent that can inspect and collect Kubernetes (K8s) service traffic without the need for code instrumentation, sidecars, or service restarts. This is possible due to its use of eBPF technology.

Alaz can create a Service Map that helps identify golden signals and problems like:

- High latencies between K8s services
- Detect 5xx HTTP status codes
- Detect Idle / Zombie services
- Detect slow SQL queries

Dragonfly Operator is a Kubernetes operator used to deploy and manage Dragonfly instances inside your Kubernetes clusters.

Helm Compose is a tool for managing multiple releases of one or many different Helm charts. It is heavily inspired by Docker Compose and is an extension of the package manager idea behind Helm itself. It allows for full configuration-as-code capabilities in an single yaml file.

Kube Metrics Adapter is a general purpose metrics adapter for Kubernetes that can collect and serve custom and external metrics for Horizontal Pod Autoscaling.

Zellij is a workspace aimed at developers, ops-oriented people and anyone who loves the terminal. Similar programs are sometimes called "Terminal Multiplexers".

Zellij is designed around the philosophy that one must not sacrifice simplicity for power, taking pride in its great experience out of the box as well as the advanced features it places at its users' fingertips.

Alacritty is a modern terminal emulator that comes with sensible defaults, but allows for extensive configuration. By integrating with other applications, rather than reimplementing their functionality, it manages to provide a flexible set of features with high performance. The supported platforms currently consist of BSD, Linux, macOS and Windows.