![]() In this tutorial, I’ll explain how to run Artifactory as a container, and discuss some of the advantages of running it this way. In fact, running Artifactory as a container gives you some handy features that would not otherwise be available. While Artifactory is available for installation directly on Linux or Windows systems, it can also run easily enough on Docker. Fortunately, you can do that easily enough. ![]() That’s a key part of being agile, after all.įrom this perspective, it only makes sense to want to run Artifactory as a Docker container. And if you do DevOps, you’re probably interested in containerizing your apps and deploying them through Docker or another container system. ![]() If you use Artifactory, JFrog’s artifact repository manager, there’s a good chance you’re already invested in a DevOps-inspired workflow. If you are interested in trying out Sumo Logic ULM solution, sign up for Sumo Logic Free. To hear the full story, check out the full webinar on-demand. Jon: We would like to provide full log and metrics visibility with the IT alerts so that the DevOps team can get full context and visibility to fix issues quickly.Īll in all, this was a fantastic discussion and it validates why IT shops that are tasked with 100% performance SLA’s should consider Sumo Logic Unified Logs and Metrics solution. We would also like to use AWS auto-scale policies to automate the remediation process, without human intervention. Having a single tool that can help diagnose problems is better, so consolidating across logs and metrics has provided us significant value.įinally, the duo explains where they want to go with Sumo Logic ULM:īen: We would like to kill off our siloed metrics solution. Jon: We have many tools serving the DevOps team, and the team needs to check many systems when things go wrong and not all team members are skilled in all tools. We use Sumo Logic extensively in the troubleshooting process.īen and Jon also described their reasons to consider Sumo Logic ULM:īen: Both logs and metrics tell critical parts of the machine data story and we want to see them together in one single pane of glass so that we can correlate the data better and faster and reduce our troubleshooting time. And before ULM, we had to use many systems to correlate the data. Hudl engineers use Sumo Dashboards to identify issues when they deploy apps they also use Sumo Logic reports extensively to troubleshoot application and infrastructure performance issues.īen: Everything in our world starts with an alert. Jon: Sumo Logic log analytics is a critical part of the day to day operations at Hudl. In the webinar, Ben and Jon described their current approaches to operations (paraphrased below for readability and brevity): ![]() Needless to say, they know application and infrastructure operations well. The webinar was hosted by Ben Newton, Sumo Logic Product Manager extraordinaire for ULM, and featured two outstanding customer speakers: Ben Abrams, Lead DevOps Engineer, Cloud Cruiser, and Jon Dokulil, VP of Engineering, Hudl.īen and Jon both manage mission-critical AWS-based applications for their organizations and are tasked with ensuring excellent customer experience. Today, we ran a webinar with a couple of our early ULM product customers and got an inside view into their processes, team makeup, and how ULM is changing the way they monitor and troubleshoot. So how are how real-world customers using the Sumo Logic ULM product? We launched the Sumo Logic Unified Logs and Metrics (ULM) solution a couple of weeks ago, and we already are seeing massive success and adoption of this solution.
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