Operations | Monitoring | ITSM | DevOps | Cloud

Kubeflow is a cloud-native, open source machine learning operations (MLOps) platform designed for developing and deploying ML models on Kubernetes. Kubeflow helps data scientists and machine learning engineers run the entire ML lifecycle within one tool. Charmed Kubeflow is Canonical’s official distribution of Kubeflow. The key benefits of Charmed Kubeflow include security maintenance of container images, enterprise support, and further tooling integration with Spark, Feast, MLFlow, and others.

Since we added the Open Access feature to Dashboard Server way back in 2014, it has been a customer favourite. Build a dashboard, grab a special URL, and share it with anyone without getting into the costs and hassle of user management - useful for embedding in other tools, show it off it on a very visible wall monitor, or send to management for a monthly report. It's versatile, simple, and most importantly, affordable.

A well-built vulnerability management program covers everything from detection to patching to documentation, reporting, and ongoing measurement. Taking a structured approach to vulnerability management is a differentiator for DevOps teams: The more you can automate and enforce, the less time and effort it takes to find, fix, and monitor software vulnerabilities.

We were recognized among the 1200 other participants, along with companies like IBM and Adobe.

Troubleshooting production logs shouldn’t be a hassle. Developers and IT operations need real-time insights without jumping between tools or manually sifting through endless log files. Sumo Logic Live Tail simplifies this process. You can instantly search, filter, and troubleshoot log tails in real-time within a single interface to get the data you need without logging into business-critical applications.

When incidents strike, clear communication is crucial — but one size doesn't fit all. Customer support needs to know what users are experiencing and possible workarounds, execs need business impact updates and timelines, and engineers need deep technical details. Manually juggling these different communication needs is time-consuming, error-prone, and frustrating when every minute counts.

Merge conflicts can derail your workflow at the worst possible moment. You’re making progress, ready to push your changes, and then suddenly—you hit a conflict. Now you have to stop, figure out what changed, track down a teammate, and resolve the issue before moving forward. It’s frustrating, time-consuming, and disrupts your momentum.