Dave Mangot, author, speaker, and consultant, sits down with Moogsoft to discuss moving to SaaS from On-Prem in the premiere episode of “Mooving To…”

Modern IT environments have become much more complex to manage thanks to hybrid infrastructures and comprehensive instrumentation that generate metrics, alerts and events data constantly. ITOps (IT Operations) and SRE (Site Reliability Engineering) teams are tasked with providing superior performance and user experience for the numerous applications while not letting the budget out of hand.

Capgemini IT, A global systems integrator, looked to SL1 to simplify their toolset and adopt AIOps best practices to transform their event management.

In this episode of Mooving to… Stability: The Role of Catastrophic Failure in Software Design, we had the opportunity to chat with Jeff Atwood, yes that Jeff Atwood of, Coding Horror, Stack Overflow, and Discourse (Chief Happiness Officer). Jeff started writing 911 software in Boulder, Colorado for a small company, which was a crash-course in writing code for software that has real consequences. With this unique and deep perspective, B.J.

The U.S. federal government knows it has not kept pace with technology innovation. Recent legislation and a $1 billion modernization fund aim to bring the federal government up-to-date. What does government digital transformation mean, and what are federal IT leaders doing to modernize their agency’s IT?

In the recent past, every enterprise has had to deal with an outage, leading to war rooms where ITOps teams are put on the spot. While they take on the burden of ensuring 100% uptime, it is often the tools they employ which don’t live up to their promises. Especially in the wake of the pandemic, with working norms being redefined, ITOps teams have been under even greater pressure to deliver. While they strive to be efficient and rely on cutting-edge technology, uptime is often elusive.

Modern digital businesses adopt AIOps tools to enable continuous insights across an IT stack. These insights tell the full story of what’s happening behind systems, allowing IT teams to achieve the operational efficiencies and high availability that lead to customer satisfaction. Old siloed monitoring disciplines provide data specific to performance of the digital experience, IT infrastructure, application or network.

A lot of things have changed in recent years. From the way of working to executing IT operations, the business strategies have changed overnight with arising advances like Machine Learning, Automation, and Artificial intelligence. The technologies have changed present-day applications and IT operations, and with AI and ML on board, IT industries operate more perplexing undertakings and resolve issues across complex infrastructures.

Gartner introduced the word ‘AIOps’ back in 2017, and ever since, the enterprises have been adapting to the various strategies to streamline their IT operations. AIOps is a successful venture because it meets the challenges and tackles the amount of data created in the tech infrastructures amid complex architectures.

Making IT operations simpler – which AIOps does by helping teams to make smarter, more informed decisions about complex monitoring and APM problems – is great. But what would be even greater is eliminating the need for IT teams to make decisions at all – a prospect known as NoOps. By automating application management to the point that human involvement is no longer necessary, NoOps offers tantalizing possibilities for the IT operations teams of the future.

To date, AIOps has been a solution first and foremost for IT operations teams. In other words, AIOps has been used primarily to help IT teams manage what happens in the post-deployment part of a CI/CD pipeline, when they need to detect and remediate issues in production environments. That doesn’t mean, however, that AIOps leaves developers out of the picture. Although the conversation surrounding AIOps hasn’t paid a lot of heed to developers so far, it’s perhaps time to change that.

According to a public sector survey of federal employees, some useful insights were discovered.

In recent years, the adoption of artificial intelligence is on the rise. Different sectors of service providers are witnessing a massive integration of AI within their workflow. This singular action has given birth to a better work pattern and greater service delivery. This is because artificial intelligence is changing the narrative and dictating the pathway for the future of work.