Greetings! This is Eldin reporting from the Solutions Engineering team at Grafana Labs. In previous posts, you might have read about announcing ObservabilityCON or our release of Grafana 7.2. In this week’s post, I am introducing Dave Frankel, who will be covering our updated ServiceNow plugin. – Eldin In a previous post we announced the release of our Enterprise ServiceNow plugin. Our first release was focused around incident and change management based on the feedback we received.
Cloud Profiler is a favorite of Google Cloud customers thanks to the insight that it provides into the performance of your production code. You can use this knowledge to reduce and shorten outages, improve performance, and optimize compute spend—always a popular topic! Profiler has always provided the ability to view and compare CPU and memory performance over time through time filters and the comparison feature.
When it comes to releasing new features out into the wild, developers and managers alike need to toe the line between speed and performance. Take an all too common situation, where sales submits a high priority ticket to the development team that's a blocker for an enterprise deal coming through the pipeline.
Millions of people already use Kibana for a wide range of purposes, but it was still a challenge for the average business user to quickly learn. Visualizations often require quite a bit of experimentation and several iterations to get the results “just right” and this Kibana Lens tutorial will get you started quickly.
As Microsoft is forever releasing new functionality within Azure and all its offerings its often hard to keep abreast of the latest changes in technology. To do so, we here at SmiKar Software often follow influential and knowledgeable people that are experts in the their fields, to keep up to date ourselves. In no particular order, here are some of the noteworthy Azure Blogs that we follow.
Continuous Integration (CI) and Continuous Delivery (CD) form the backbone of the product delivery lifecycle. A well tuned, fault tolerant and scalable CI/CD pipeline is very important to support modern Agile teams. Despite obvious business advantages, a rapid release approach combined with continuous change processes resulting from DevOps principles will in the long run generate new challenges. The entire process needs to be carefully examined and controlled.
Troubleshooting production issues in Lambda environments is often challenging. CloudWatch requires developers to comb through logs, search for relevant terms that they may not always know of and has hard-to-consume stack traces. For obvious reasons, we recommend using Sentry to instrument your Lambda Functions code in order to report error stack traces and associated debugging context. Here’s a walk through on how to instrument a Node function.
Insight and ergonomy for the smart security analyst. Since the performance overhaul of the last release, we’ve concentrated our efforts to bring you additional refinements to the accuracy and information value in Flowmon ADS 11.1.
No matter the application or strengths of your Virtual Machine, it must rely on the resources you provide. In such a scenario, it is common to run into bottlenecks and performance issues that can undermine your operations’ productivity. Often, these bottlenecks present challenges to the team as frequent issues pose risks to the operation’s health.
