Confidence in the quality, robustness, and reliability of a product are among the most valuable qualities sought after by consumers as well as businesses. This confidence is built through the rigorous testing of a product. In software engineering, practices like extreme programming (XP) and test-driven development (TDD) champion the belief that automated testing should be used from the start of a project.
The cloud is growing more and more popular each day. We are in an era where there is a prominent trend of companies migrating from traditional on-premise systems to more reliable and fast cloud-based systems. However, the conversion is still not rampant on a large scale, primarily due to the lack of awareness in the up-and-coming businesses about the cloud’s fundamentals. However, the cloud has proven to be a sound and worthy option time and time again.
You’ve likely heard the term Observability lately. There’s a fundamental change taking place in the Monitoring space, and Observability is behind it. Observability itself is a broad topic, so in this post we’ll talk about what it means to move from Application Performance Monitoring to Application Performance Observability.
In 2019, Alexander Mann was working in the microchip industry, putting in 12-hour shifts that left no time for him to tend to his large vegetable garden. “I started looking for ways that I could remotely water or check on my plants,” he says. Products that could help him were either too costly for a hobby gardener or required special internet connections, so Mann decided to learn about IoT and create his own setup.
Today’s enterprises are struggling to cope with the complexities of their environments, technologies, and applications. On top of these challenges, they face faster release rates, and the need to always deliver the highest level of performance and availability to end-users, at the lowest possible cost.
As the Regional VP of Customer Success for the West and Central Region at BigPanda, Chris LaPierre gets a unique opportunity to see first-hand how BigPanda customers use their AIOps platform. Charged with ensuring every BigPanda customer derives high value and return on investment from the solution, BigPanda’s customer success teams make certain customers leverage the AIOps platform to increase their bottom line.
By now it’s no secret that system outages and website downtime are more widespread and frequent than ever. In fact, the frequency of outages jumped 9% in just the first week of 2022. This can be attributed to a rapid increase in traffic and reliance on tech infrastructures – resulting in connectivity, server, and other technical issues that are alternately unforeseen and unavoidable.
The same concept holds true for AIOps, which needs a steady diet of data to feed the analytics that drive key functions like diagnostics and automation that can turn your IT operations team into AIOps champions.
