Everyday IT operators are trying to prevent outages of business-critical applications. When prevention is not possible, IT operators strive to reduce the mean time to repair (MTTR) as much as possible. Improving resolution time can be quite a challenge. But IT operators don't stand alone in this challenge. They can use smart solutions that support Automated Root Cause Analysis and Anomaly Detection.
Are you already applying IT observability to keep up with rapid changes in your IT operations landscape? Currently, the fast adoption of new infrastructures, including hybrid clouds, containers, and microservices, challenges the market. As organizations move towards these highly dynamic architectures, the requirements for traditional IT monitoring change dramatically. More data keeps on coming, and having the time and skill to keep up with this ongoing stream seems to get harder and harder.
Open-source software started around the millennium and is now one of the cornerstones of modern software development. Open-source projects make their source code available to anyone so that engineers across the world can inspect the code to find bugs or make changes to suit their needs. Today, there are more than 180,000 open-source projects available, according to Wikipedia. We at StackState are big believers in open-source software.
Are you currently dealing with complex and fast-changing Cloud & Container environments? If your answer to that question is yes, then you are probably looking for an easy solution that gives you complete control to make sense of all these fast and complex IT environments. In the dynamic world of microservices and containers, traditional monitoring solutions are no longer sufficient to provide needed visibilities to maintain healthy and happy environments.
Forecasting health is vital in today's society. Who has the highest risk of getting a virus? Are you able to predict when this will happen? Knowing answers to these questions could save many lives. Forecasting the health of IT infrastructures is equally essential. Think of identifying databases that are about to stop serving requests in a timely matter, hard drives that are about to run out of space, or Service-level agreements (SLA's) that are about to cross the set thresholds.
Imagine driving on the freeway in a (partially) self-driving car like a Tesla. While you drive the car, you come across things you would expect like trees, lampposts and other cars but also things that don't belong there like trash floating around. Meanwhile, radars and sensors in the car are working hard to make sure you don't crash because of these things. If you see the freeway as your fast-changing IT environment, then all the things that don't belong there are anomalies.
As Chief Data Scientist here at StackState I’ve got a big interest in less likely to happen occurrences in data. These events are called anomalies. Every company with a considerable IT environment should be able to detect, solve and also prevent anomalies. Because anomalies can have a big effect on your day to day business.
Each year there comes a time to look forward and think about next year and maybe even further. This can be a daunting task, especially in the fast-changing IT industry. Luckily, Gartner prepared a list of the top 10 technologies that will drive the future of Infrastructure and Operations up through 2024. This list might come in handy when you’re preparing your 2020 roadmap and beyond.
Do you ever find yourself blindsided by the impacts of proposed IT infrastructure changes? There are ways to avoid unexpected consequences of IT change management. In their latest research, Gartner describes how I&O leaders can improve observability, customer experience and business health by starting with AIOps, adding CMDB and, finally, using both working in concert. We summarized the key takeaways of the research for you in this blog.
