Operations | Monitoring | ITSM | DevOps | Cloud

Debugging and resolving incidents in nodeless environments can be difficult, time-consuming, and most of all, frustrating. Exporting your logs from these ephemeral and disparate services to a centrally aggregated log is a great way to correlate information, quickly resolve incidents, and make your life a little easier.

AIOps is one of the fastest-growing categories in the IT operations management (ITOM) software space. With increasing demands on IT, the ability to leverage AI is critical to successful operations. The adoption statistics are quite staggering. Gartner reports that by 2022, 40% of large enterprises will use AIOps tools to support or replace monitoring and service desk tasks.

Log analysis helps organizations determine the best way to optimize application functionality while giving development teams a leg up in root cause analysis. With that said, it’s not feasible to scroll through thousands of lines of log entries in a text editor. Instead, development teams need modern tools that enable them to centralize, filter, and analyze their logs in a way that allows them to glean valuable insights in a time-efficient manner.

Have you ever visited a website and be extremely frustrated by the amount of time it takes to load the landing page, let alone the other pages on the site like the "About us" and "Contact" page? Well, if your answer to this question is yes, then know now that you are not alone in experiencing slow loading sites.

Previous articles in our series have introduced the Splunk App for Infrastructure (SAI) and provided getting-started guidance for Linux and Windows using native metric-collection tools such as collectd and perfmon. But did you know you can also use your existing Splunk Universal Forwarders (UF’s), together with the Splunk Add-on for Unix and Linux (TA-Nix) to send both the metrics and logs without the need of additional agents?

If you are dealing with microservices, serverless architecture, on any other type of distributed architecture, you have probably heard the term “Distributed Tracing.” You may have been wondering what it’s all about, and where should you start, in this post, I’ll tell you about the journey we passed at Duda, from the day we heard about distributed tracing and started to explore whether it will be useful to use it in our company, to the exploration on what is distributed tracing a

The performance of your APIs is a critical factor that influences the success of a project. After implementation, you will want to constantly monitor your APIs. You may want to monitor response time on a regular basis or you may have more extensive monitoring scenarios. MetricFire specializes in monitoring systems, including APIs. You can use our product with minimal configuration to gain in-depth insight into your environments.

As you add more panels to your dashboard, more requests are being made, potentially leading to your dashboard taking longer to load. While you can limit the data requested in each query, one of the best ways to reduce the loading time is to reduce the number of requests being made to the data source. Grafana makes a data source query for each panel in your dashboard, even if those queries are identical.