Grafana 8.2 was released last week, and we’re excited to announce one of its new features: contact point testing. Now users of Grafana 8 alerting can test their contact points right from the contact points page. This feature makes it easier to configure Grafana 8 alerting and gives you the confidence in knowing that your contact points are working as expected before they fire. Here are the basics.

With the advent of IaaS (Infrastructure as a service) and IaC (Infrastructure as Code), it is now possible to manage versioning, code reviews, and CI/CD pipelines at the infrastructure level through resource provisioning and on-demand service routing. Kubernetes is the indisputable choice for container orchestration.

Integration is now the #1 IT expense category at many enterprises and new complexities increase the burden on Service Delivery, CI/CD, IBM MQ administration, and other “integration professionals” every day. Your enterprise has Microservices, Mobile, Mainframes, Cloud, and more applications and application updates than you can count and it takes the routing of transactions, messages and more through a rapidly growing integration infrastructure layer to make it all work together.

On the way to perfecting its services, Pandora FMS launches one of the most advanced and complete solutions in its history as monitoring software: Monitoring as a Service (MaaS). As we all know by now, Pandora FMS is a software for network monitoring that, among many other possibilities, allows visually monitoring the status and performance of several parameters from different operating systems (servers, applications, hardware systems, firewalls, proxies, databases, web servers, routers…).

In my previous post, we explored why Honeycomb is implemented as a distributed column store. Just as interesting to consider, though, is why Honeycomb is not implemented in other ways. So in this post, we’re going to dive into the topic of time series databases (TSDBs) and why Honeycomb couldn’t be limited to a TSDB implementation. If you’ve used a traditional metrics dashboard, you’ve used a time series database.