Let's all face it, on call work isn't fun. But it can be better. Even if you have to work on call, it would be nice to have at least some of the work done for you, before you drag yourself out of bed at 3am to respond to an incident.

Coined by Gartner in 2016, the term ‘AIOps’ refers to the combining of big data AI and machine learning to automate and improve IT operations processes. Back then, this very broad definition led to some confusion, with different IT vendors characterizing AIOps differently, depending on what they were actually offering.

Cutting-edge messaging systems simplify communication and collaboration for organizations with complex communication needs. These systems are equipped with secure mobile messaging and a full suite of automation capabilities that can route notifications and voice calls across on-call teams. These platforms simplify on-call management through digital on-call schedules and escalation policies.

A protracted, exasperating customer service experience popped into my mind while reading this sentence in the Ivanti Voice data sheet: “One of the most frequent customer complaints about call centers is having to repeat information.” Ain’t that the truth. Here’s a brief personal experience.

DevOps is a term for, “a cross-disciplinary practice dedicated to the study of building, evolving and operating, rapidly-changing resilient systems at scale.” (Jez Humble) There is no wall between development and operations so they work simultaneously and without silos. The system focuses on uniting the developmental and operations teams in a continuous process. Agile is a software development strategy that focuses on responding to change with cross-functional team communication.

Blameless is excited to announce a new source for monitoring data for your SLIs and SLOs. New Relic is an observability platform that helps engineers instrument, analyze, troubleshoot, and optimize their entire software stack.

Blameless is excited to announce a new source for monitoring data for your SLIs and SLOs. Datadog is a monitoring and security platform for cloud applications. It brings together end-to-end traces, metrics, and logs to make applications, infrastructure, and third-party services observable.