Operations | Monitoring | ITSM | DevOps | Cloud

Distributed tracing allows you to track the execution of your user's transactions by following them between applications’ microservices. It provides easy to understand visualizations of transactional lifespan with the ability to pinpoint any slowdowns and errors in response to microservices. During my presentation at Illuminate, I shared that we extended the Sumo Logic platform to cover application performance use cases.

When providing services to your customers you need to keep an eye on everything that could impact your success with that – from low-level performance metrics to high-level business key performance indicators. From server-side logs to stack traces giving you full visibility into business and software processes that underpin your product. That’s where cloud monitoring tools and services come into play.

This article is part 2 of a four-part series of articles about Elasticsearch performance monitoring. Part 1 explains what Elasticsearch is and how it works, while in this part, we’re going to look at Elasticsearch’s capabilities and potential use cases, and how to check its status. We’ll identify key metrics that you need to monitor to maintain the health and performance of your Elasticsearch cluster.

Breaking down larger, monolithic software, services, and applications into microservices has become a standard practice for developers. While this solves many issues, it also creates new ones. Architectures composed of microservices create their own unique challenges. In this article, we are going to break down some of the most common. More specifically, we are going to assess how observability-based solutions can overcome many of these obstacles.

More and more employers are looking for people experienced in building and running Kubernetes-based systems, so it’s a great time to start learning how to take advantage of the new technology. Elasticsearch consists of multiple nodes working together, and Kubernetes can automate the process of creating these nodes and taking care of the infrastructure for us, so running ELK on Kubernetes can be a good options in many scenarios.

What are logs? In computing, when generally speaking of “log”, we refer to information belonging to a more or less low level reported by the operating system or a specific application that helps identify what is being done, including errors, problems or minor warnings, and when that happens, it indicates the date and time. In some cases, the source, the user, the IP address and other interesting fields from the point of view of what has happened can be identified.

Amazon Redshift is a cloud-based data warehousing solution that makes it easy to collect and analyze large quantities of data within the cloud. Cloud data warehouse services like Redshift can remove some of the performance and availability pain-points associated with on-premises data warehousing, but they are not a silver bullet. Getting the most out of Redshift requires carefully monitoring Redshift clusters in order to identify stability issues and performance bottlenecks.

Anyone who has ever had to administer IBM Spectrum Protect™ (formerly Tivoli Storage Manager or TSM) knows that eventually, you’ll end up parsing the activity log for advanced problem determination or running advanced queries on the summary table for extended reporting. This is a huge pain! With the latest enhancements to Galileo for Spectrum Protect, you need not go elsewhere for answers.