Technology teams are under more pressure than ever before. They’re balancing the demands of a changing workplace, growing customer expectations, and shifting from traditional to digital delivery. While managing more applications with less visibility, they face expectations to deliver fast, customer-grade experiences. These digital experiences are increasingly enabled by the cloud.
System outages happen to the best of us. Communicating with your customers and other stakeholders effectively during downtimes is vital to maintaining a solid relationship with them. When a system outage occurs, technical teams are tasked with swiftly locating the cause and resolving the issue, while communications teams are tasked with notifying stakeholders and customers about the outage to maintain transparency.
We are happy to announce the 1.0.0 release of Rancher Desktop. This release has been months in the making since development on Rancher Desktop began. After starting small and learning what users needed, we were able to adjust its path and develop the features needed for a 1.0.0 stable community release. But wait – what is Rancher Desktop again? It’s an open source app for desktop Kubernetes and container management on Mac, Windows and Linux.
A couple months ago, a Splunk admin told us about a bad experience with data downtime. Every morning, the first thing she would do is check that her company’s data pipelines didn’t break overnight. She would log into her Splunk dashboard and then run an SPL query to get last night’s ingest volume for their main Splunk index. This was to make sure nothing looked out of the ordinary.
Modern workflows are primarily aimed at one thing—reducing operational complexities so that stakeholders can focus on initiatives that boost business and innovation. For IT teams, Artificial Intelligence and Machine Learning play key roles in bringing this goal to life. And even though AIOps is considered to be not yet in mature stages, there is no denying that IT teams that do not adopt AI processes will be left behind. By 2023, the market for AIOps tools is predicted to reach $11.02 B.
Using FireHydrant’s Runbooks, incident and retro data can be automatically sent to Confluence at any point in the incident lifecycle. For example, the moment you’ve resolved an incident FireHydrant can create a fresh Confluence page with all of the critical incident information stored in FireHydrant. When utilizing Runbook conditions, you can choose the perfect moment to send your FireHydrant retro to a Confluence workspace.
Today’s organizations face major challenges in effectively deploying and managing their online services, applications, and websites. In recent years, with interest in infrastructure technologies such as Kubernetes and Docker surging, container orchestration solutions have emerged as a core technology to help overcome challenges and move to a more modern approach.
