Entries by Matt Kereczman

Monitoring Linux HA Clusters with Prometheus

You’ve likely heard of Prometheus, the open-source monitoring and alerting solution originally developed at SoundCloud. Prometheus was the second project incubated by the Cloud Native Computing Foundation in 2016 (the first being Kubernetes), and is used by companies like Google, Red Hat, and Digital Ocean as a scalable and efficient way to monitor infrastructure in a […]

NuoDB on LINSTOR-Provisioned Kubernetes Volumes

Introduction: NuoDB and LINBIT put our technologies together to see just how well they performed, and we are both happy with the results. We decided to compare LINSTOR provisioned volumes against Kubernetes Hostpath (Direct Attached Storage) in a Kubernetes cluster hosted in Google’s cloud platform (GCP) to show that our on-prem testing results can also […]

LINSTOR CSI Plugin for Kubernetes

A few weeks ago, LINBIT publicly released the LINSTOR CSI (Container Storage Interface) plugin. This means LINSTOR now has a standardized way of working with any container orchestration platform that supports CSI. Kubernetes is one of those platforms, so our developers put in the work to make LINSTOR integration with Kubernetes easy, and I’ll show […]

Deploy a DRBD/Pacemaker Cluster using Ansible

We get asked the question, “do you have a sandbox cluster we can play around in?”, by admins and potential clients looking to get a feel for managing a DRBD/Pacemaker cluster fairly often. Instead of spinning up some cloud instances and doling out access, we decided it would be better for our potential clients to […]

Configuring an HA+DR Apache ActiveMQ™ Cluster

To quote the Apache Software Foundation: Apache ActiveMQ™ is the most popular and powerful open source messaging and Integration Patterns server. Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is […]

Albireo Virtual Data Optimizer (VDO) on DRBD

TL;DR: Pairing DRBD with VDO reduces the replication network and storage utilization by ~85% while increasing load by ~0.8. VDO (Virtual Data Optimizer)[1] is a ready-to-run software package that delivers block-level deduplication, compression, and thin provisioning capabilities to Linux. VDO operates inline at a 4 KB granularity, delivering the best possible balance of performance and […]