3 best practices to reduce application downtime with Google Cloud's API monitoring tools
Maintain high uptime and performance for your APIs without any overheads using Google Cloud’s API monitoring tools.
The latest News and Information on Log Management, Log Analytics and related technologies.
Maintain high uptime and performance for your APIs without any overheads using Google Cloud’s API monitoring tools.
In an era where there’s no shortage of established best practices and tools, engineering teams are consistently finding their ability to prevent, detect and resolve production issues is only getting harder. Why is this the case? Our most recent DevOps Pulse Survey highlighted alarming trends to this end.
A few weeks back, I got the chance to sit down with our very own Jordan Perks from the Cribl Customer Success Team. Jordan is an Observability subject matter expert AND knows a thing or two about Cribl Products! After geeking out a bit about data best practices, we started chatting about enabling our customer champions to have different conversations with stakeholders across their organizations. When someone becomes an observability engineer, they step into a much different role.
In today's complex, multi-cloud environments, IT and engineering teams are under increasing pressure to respond to errors affecting their entire system. Therefore, IT operations, DevOps, and SRE teams are all striving to gain complete observability across these increasingly complex and diverse computing environments. But what exactly does observability mean?