Operations | Monitoring | ITSM | DevOps | Cloud

Today’s web consists of lots of 3rd party resources. Let it be your fonts, transformed and optimized media assets, or analytics and ad scripts, many sites out there include resources that they don’t own. Your website probably has a lot of those dependencies, too! And while implementing third-party resources has downsides for performance and you should self-host your assets when possible, sometimes relying on external files is unavoidable.

The demand for search functionality is growing, and many developers are trying to incorporate it into their applications. However, building one from scratch is challenging and time-consuming. Fortunately, many open-source libraries are available to relieve developers of this burden. This guide will provide the reader with a list of some of the best search packages for JavaScript.

Operations management—whether IT, business, sales, marketing, etc.—has four essential main objectives: And in any industry, those objectives are driven by the most important goal, which is to generate revenue for the organization. While every single task or implementation may not directly impact revenue, the outcome of small improvements over time can be substantial. After a Google search for motivational quotes, I stumbled on James Clear’s “power of tiny gains” concept.

AIOps, or artificial intelligence for IT operations, uses AI and ML technologies alongside big data, data integration and automation to help make IT operations smarter and more predictive. AIOps has come around as a response to a pressing need for optimizing operations and minimizing risks to the IT infrastructure in the modern IT ecosystem.

DevOps engineers wishing to troubleshoot Kubernetes applications can turn to log messages to pinpoint the cause of errors and their impact on the rest of the cluster. When troubleshooting a running application, engineers need real-time access to logs generated across multiple components. Collecting live streaming log data lets engineers: The challenge that engineers face is accessing comprehensive, live streams of Kubernetes log data.

With k6 Cloud, Grafana Labs is in the business of generating load — lots of load, distributed across a cluster of computers. So while our customers care about the systems they load, we care that our system can generate the load that they need and process the test metrics for them in an intuitive, explorable way.

In this third and final part, you’ll get to see a few examples that aren’t strictly related to configuration changes or new tools, but rather ways that traffic replay can help streamline the development process for those deploying in Kubernetes.

For the past couple of years, no one has been able to escape the effects of supply chain problems throughout their personal and professional lives. According to our recent State of Hybrid Cloud Storage survey, storage and the IT equipment that supports storage systems were no exception, and disruptions created extra work and headaches for those teams.

My son, currently nine years old, is an active Cub Scout and we’re coming up on one of the most popular Cub Scout yearly events, the Pinewood Derby. For anyone not familiar with the Pinewood Derby, it is a competition where the scouts are given a small block of wood along with four little plastic wheels and are given the opportunity to design a car that will be raced against other scouts.

OpenShift is a platform that allows developers and operations engineers, or even DevOps professionals, to run containerized applications and workloads. Under the hood, it’s powered by Kubernetes, but there’s an additional architectural layer that makes life simpler for DevOps teams. OpenShift is from enterprise software specialist Red Hat and provides a range of automation options and lifecycle management, regardless of where you choose to run your applications.