Operations | Monitoring | ITSM | DevOps | Cloud

Alerting

We now support Pushover's priority messages

When we detect something wrong with your site (it is down, a broken link is detected, the certificate is invalid, ...), we can notify you via one of the many notification channels we support. One of those channels is Pushover, an excellent service to send native notifications to mobile devices. We have supported Pushover since we launched a couple of years ago. Now, we've added a nice option that several of our users we're asking for: setting the priority.

Is Data the biggest barrier for AIOps adoption?

Much like oil, data that is available in a raw form is not useful at all. It has to go through various steps before AI/ML could touch it and derive valuable!! Check out the latest video by Shyam Sreenivasan, where he talks about DataOps and why you should automate your data pipelines to run AIOPS at scale.

Improving your team's on-call experience

Your engineers probably dislike going on-call for your services. Some might even dread it. It doesn't have to be this way. With a few changes to how your team runs on-call, and deals with recurring alerts, you might find your team starting to enjoy it (as unimaginable as that sounds). I wrote this article as a follow-up to Getting over on-call anxiety.

Timely Delivery with Enterprise Alert

Murphy’s Law states that anything that can go wrong, will go wrong. The challenge for most businesses is putting the right method of communication in place for when the inevitable happens. The only way to handle this is to expect the worst and then prepare for it. A key factor in deciding for any alerting solution is can my team be notified properly when a major outage happens .

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When Dominoes Fall: Microservices and Distributed Systems need intelligent dataops and AI/ML to stand up tall

As soon as the ITOps technician is ready to grab a cup of coffee, a zing comes along as an alert. Cling after zing, the technician has to respond to so many alerts leading to fatigue. The question is why can’t systems be smart enough to predict bugs and fix them before sending an alert to them. And, imagine what happens when these ITOps personnel have to work with a complex and hybrid cloud of IT systems and applications. They will dive into alert fatigue.