When I started at Grafana in January, I was accustomed to working with private clouds and on-prem infrastructure, so nearly everything in my role here as a senior software engineer for the Grafana Mimir customer squad was new to me. I was new to Golang, Docker, Kubernetes, gRPC, public cloud services, etc. Kubernetes has been especially challenging. In my work on Grafana Mimir and Grafana Enterprise Metrics, I experience k8s in one of two extremes.

We've simultaneously launched 4 new integrations for Node.js: Redis, ioredis, MySQL, and MySQL2. This means that you can now see all the details of a query in the Event Timeline and Slow Query screens in AppSignal. Because we are a small and bootstrapped team, we've chosen to embrace OpenTelemetry as a means of expanding AppSignal's offering in the Node.js ecosystem.

For over a decade, Amazon RDS (Relational Database Service) has been a popular managed database service companies have used to set up, operate, and scale databases for web and mobile applications. However, modern, high-scale applications can have upward of tens of thousands of clients. This means that maintaining direct connections between the database and application can quickly begin to consume more resources than the query executions themselves.

Today’s developers use tools such as VMware Tanzu Application Platform and the Spring framework to build modern applications. However, to build best-of-breed, intelligent, data-centric applications, developers must utilize a unified, in-memory data layer. This enables development teams to truly scale their applications with the pace of business, especially when that business extends across the globe.

PlanetScale is a serverless, MySQL-compatible database platform powered by Vitess. PlanetScale handles database scaling while also providing you with the tools to increase your development velocity, such as branching, non-blocking schema changes, automatic backups, built-in connection pooling, as well as a helpful interface and CLI. Datadog’s new integration gives you deep visibility into your PlanetScale databases, so you can optimize your usage and costs.

Having trouble deploying Kubernetes in a highly available mode and have a backing remote database? This blog is for you. I will explain how to deploy K3s in HA configuration with an external database Postgres. K3s is a certified Kubernetes distribution for IoT and Edge computing. I deployed it on virtual machines in an IBM Z mainframe. Instead of etcd, I choose Postgres as my storage for my K3s clusters. I deployed Postgres in non HA mode.