Operations | Monitoring | ITSM | DevOps | Cloud

AI has certainly become the hallmark of digital transformation strategy. According to IDC, global AI spending is forecasted to reach $500 billion in 2024 with a CAGR of 17.5%. Likewise, Gartner predicts low-code application platforms (LCAP), robotic process automation (RPA) and AI are fueling the growth for hyperautomation, and the market will reach $596 billion in 2022, up nearly 24%.

AIOps (artificial intelligence in IT operations) in monitoring refers to the convergence of artificial intelligence, machine learning, and data analytics to make IT monitoring a responsive, intelligent, and agile business function. AIOps is not an alternative to DevOps but a great partner to it that provides intelligent insights when integrated with every stage of the cycle.

Waste is never a good thing. And rumblings of an economic downturn, alongside dire warnings of climate change, are making it increasingly necessary to address waste. As a society, we need to reduce consumption, data included. First, we all must acknowledge the high cost of data. Despite the prevailing opinion of the 2010s, data isn’t free. There’s a monetary and carbon cost to keeping data alive.

ITOps and DevOps are technology management practices that have been around long enough that anyone in IT should have a good grasp of what they mean. Here’s our experts’ take on ITOps vs. DevOps.

Episode 5, Mooving to… Practical Postmortems covers how to leverage postmortems to effectively learn from failure. Postmortems are a commonplace reference and are now considered a best practice in most modern engineering teams. However, there’s still a lot of confusion on what postmortems should be – and more importantly, what they should NOT be. Thom Duran, Senior Manager of Productivity from Panther walks us through all that and more in the latest Mooving To.. episode!