The managed service provider (MSP) model delivers tremendous value for clients. They benefit from expertise and implementation that would be difficult and cost-prohibitive to build and manage themselves. The MSPs take on those responsibilities, which means they are on the hook for delivering the services to their clients in an effective and efficient manner.

As organizations increasingly depend on distributed system architectures to provide modern applications and microservices, their legacy monitoring tools struggle to keep pace. These outdated systems are often based on predictable failures, but when an unforeseen performance issue occurs, it can lead to outages and unplanned downtime that impacts your customers and your business.

Kubernetes has emerged as a pivotal force in shaping modern cloud infrastructure. Originating as a brainchild of Google, Kubernetes has evolved into an open-source platform that has revolutionized how applications are deployed, scaled, and managed across a vast network of machines. Its ability to orchestrate containerized applications efficiently makes it an indispensable tool within cloud computing. However, with great power comes great responsibility, particularly in the realm of cost management.

Over the last five years we’ve seen our customers run 583,954 incidents more efficiently thanks to a shared workspace, powerful Runbook automations, and auto-captured data. Yet despite a great deal of progress, incident efficiency hasn’t achieved peak potential. We talk to a lot of folks that are still stuck in the muck: new responders struggle to get up to speed quickly, incident commanders wade through post-incident drudgery, and knowledge silos prevent comprehensive improvements.