Operations | Monitoring | ITSM | DevOps | Cloud

%term

Kubernetes Master Class: Building an Enterprise Kubernetes Strategy

Kubernetes sits at the intersection of DevOps and ITOps and many organizations are trying to figure out key questions, like who should own kubernetes, how many clusters to deploy, how to deliver it as a service, how to build a security policy, and how much standardization is critical for adoption. In this session Rancher founder Shannon Williams will share best practices pulled from working with hundreds of teams to implement a Kubernetes strategy.

Introducing Multi-Cluster Applications in Rancher 2.2 Preview 2

I’m excited to announce the release of Rancher 2.2 Preview 2, which contains a number of powerful features for day two operations on Kubernetes clusters. Please visit our release page or the release notes to learn more about all of the features we shipped today. In this article I introduce one of the features: multi-cluster applications. Read on to learn how this will dramatically reduce your workload and increase the reliability of multi-cluster operations.

Stackdriver Profiler adds more languages and new analysis features

Historically, cloud developers have had limited visibility into the impact of their code changes. Profiling non-production deployments doesn’t yield useful results, and profiling tools used in production are typically expensive, with a performance impact that means that they can only be used briefly and on a small portion of the overall code base.

ipMonitor® Free Edition: Essential IT Monitoring

SolarWinds® ipMonitor® is built to be quick, affordable, and agentless monitoring software for your network, servers, and applications. ipMonitor delivers out-of-the-box visibility into essential availability and performance metrics for your critical IT environment, and includes a built-in database and web server, so you don’t need to install anything but ipMonitor.

Prioritize Errors that Matter with Sentry + Jira Server

Bugs are dumb. They’re also inevitable. However annoying that may be, it’s more productive to accept the existence of bugs in our workflows than to panic-spiral every single time they pop up. Part of the acceptance process is keeping bugs (or at least the ones you care to fix) top of mind by paralleling your error monitoring and your sprint planning.

How to Monitor Azure VM Scale Sets

With Azure Virtual Machine (VM) Scale Sets you can automatically scale the number of VMs running an application based on the compute resources required. VM Scale Sets make it easier to deploy and manage a large number of Virtual Machines consistently and allow you to use and pay for the minimum resources needed at any given time, but they also introduce a few monitoring challenges.