At LogicMonitor, we are continuously improving our platform with regards to performance and scalability. One of the key features of the LogicMonitor platform is the capability of post-processing the data returned by monitored systems using data not available in the raw output, i.e. complex datapoints. As complex datapoints are computed by LogicMonitor itself after raw data collection, it is one of the most computationally intensive parts of LogicMonitor’s metrics processing pipeline.
At first glance, microservices logging may seem simple. You just take the same principles you’ve always followed for monoliths and apply them to each microservice in your application, right? Well, no. The differences between microservices and monolithic architecture amount to much more than a difference in the number of services involved.
Today, monolithic applications evolve to be too large to deal with as all the functionalities are placed in a single unit. Many enterprises are tasked with breaking them down into microservices architecture. At LogicMonitor we have a few legacy monolithic services. As business rapidly grew we had to scale up these services, as scaleout was not an option.
We analyzed the online behaviors of IT decision-makers to determine where they need the most help now compared to before the pandemic. Here's what we found.
Today, Splunk announced a new milestone release of SignalFx Microservices APM, introducing groundbreaking innovations including: Full Fidelity tracing, AI-Driven Directed Troubleshooting, and open framework instrumentation. With the Splunk acquisition of SignalFx and Omnition now behind us, we’re excited to announce a new, revolutionary release of SignalFx Microservices APM.