Operations | Monitoring | ITSM | DevOps | Cloud

Today, we have some exciting news to share: Pepperdata Capacity Optimizer now supports Azure Kubernetes Service (AKS). This means users of AKS are able to automatically optimize their workloads running on the Azure Kubernetes Service. AKS users can now rely on Pepperdata to help them monitor and optimize Spark applications on Kubernetes AKS. This evolution of our platform has been in the works for some time, and we know our users will be delighted by this development.

Would your organization benefit from having powerful, yet easy-to-use filters to inspect your nodes? With our latest Continuous Delivery for Puppet Enterprise release, we’ve updated the filters in the user interface to support more advanced queries. SysAdmins, developers, DataOps, and IT managers will all benefit from having access to these powerful filters.

Human operators utilizing traditional network monitoring software with methods like SNMP, ping, or flow tracking are still limited to diagnosis and triage issues within the four walls of the on-premise data center. But with increased adoption of cloud, SD-WAN and “work from anywhere,” application workloads are getting more distributed and creating network monitoring visibility gaps.

What do Olympic speed skaters and developers have in common? They have a need…a need for speed. 😏 Nobody likes moving slow, no matter if you’re competing for the gold, or just trying to deploy an awesome new feature. The GitKraken team has been hard at work making sure all GitKraken Client users, especially macOS users, have the speediest experience possible when leveraging our legendary Git client to collaborate with teams.

Big news! The Qovery Terraform Provider is now publicly available for everyone! This article will show you what you can do and why you should consider using Terraform with Qovery.

At Datadog, we’re dedicated to building a platform that helps teams detect, troubleshoot, and resolve issues in their applications and infrastructure. We know that our customers need to be able to debug issues, explore ideas, and manage incidents efficiently, and that means having access to tools that can help them seamlessly share information and leverage the expertise of their distributed teams.

First-generation security solutions for cloud-native applications have been failing because they apply a legacy mindset where the focus is on vulnerability scanning instead of a holistic approach to threat detection, threat prevention, and remediation. Given that the attack surface of modern applications is much larger than in traditional apps, security teams are struggling to keep up and we’ve seen a spike in breaches.

A trace is the end-to-end journey of one or more connected spans and a span is an operation or “work” taking place on a service. So when it comes to debugging a performance issue, being able to pick out slow spans out of a line up is the fastest way to seeing the root cause and knowing how to solve it. Suspect Spans surfaces a list of spans that correspond to where the most time in a transaction is spent.