Operations | Monitoring | ITSM | DevOps | Cloud

July 2021

Observability for Retail: Top 3 Challenges and How Monitoring Can Help

The pandemic has created a unique set of circumstances that have accelerated what was already a growing trend. The shift from brick and mortar retail to a hybrid online and in-person retail experience has meant that nearly every retailer must also be an e-tailer and deliver a flawless digital shopping experience for its customers.

Monitoring Outliers vs. Unbalanced Services

LogicMonitor currently provides a solution for monitoring groups of nodes with the same functionality, which we call services. With companies moving towards more auto-scalable and transient architecture, LogicMonitor is able to continually monitor these services, which are always changing. We also needed a way of determining if these nodes are being used effectively. It can become an unnecessary cost if there are multiple underutilized nodes.

An Introduction to OpenTelemetry

The growth of technology has led to more efficient and relevant digital experiences, and customers continue to expect more out of those interactions. That’s true no matter their location and no matter which device they choose to use. Companies that cannot provide these kinds of personalized interactions for their customers find themselves falling behind the competition as technology continues to advance.

Observability for Manufacturing: Top 5 Challenges and How Monitoring Can Help

The manufacturing industry has been on a journey of digitization and automation for a couple of decades now. This transformation towards automation is increasingly being accelerated by AI, robotics, and the public cloud. It’s expanding to encompass every aspect of the modern manufacturing business, including areas like customer service and even marketing.

The More You Monitor: AIOps in the Future of Monitoring

You might be wondering what impact AIOps will have on infrastructure and application monitoring in the future. More than just algorithms and machine learning, AIOps takes a holistic AI approach that will allow IT organizations to work more proactively, perform more efficiently, and fix problems faster.