Operations | Monitoring | ITSM | DevOps | Cloud

The concept of AIOps is simple: Infuse artificial intelligence(AI) into IT to make operations speedier and more efficient. In theory, AIOps at its best should lead to an autonomous IT environment in which functions can run themselves with little or no human intervention. In practicality, the path to this nirvana state is anything but straightforward and raises several questions. Where should you start? How do you measure the value? Is AI ready to scale across production environments?

Let’s face it. Gaining a competitive advantage in the target market is expensive. Even if you have a good idea and its execution plan in mind, operations related to management, storage, networking, service provisioning, security, and application management will cost you a fortune. To say the least, a cutting-edge IT infrastructure, a reliable team, and a strategy for rapid product releases or expansion/scaling is a must for your product’s success.

Add multiple responders to one or more incidents. Helps in gaining empathy, transparency, and future context for an incident that helps reduce MTTR.

A few months ago I wrote about sending notifications to Rocket.Chat. While that messaging tool is quite powerful, one may also prefer to keep it simple. So let’s also address the good old IRC.

In preparation for the upcoming Developer Observability Masterclass we’re hosting at Lightrun with Thoughtworks and RedMonk, I sat down for a brief interview with Tom Granot – the Director of Developer Relations at Lightrun. Tom will MC the event as he did for the Developer Productivity Masterclass we ran back in December.

Put simply, cloud adjacent storage is just a privately owned and operated storage system, within network reach of a cloud provider’s region, but without the pay-as-you-grow and access charges found in public clouds.