PagerDuty turns the dial on machine learning
PagerDuty made the most of its community coming together at PagerDuty Summit, by introducing them to some newly landed product features. Amongst them is Intelligent Triage, a new addition to the company’s Event Intelligence offering, that is meant to help ops teams to see incidents as part of a bigger picture by providing them with additional information. For example, it informs them if something similar has happened before, which services are affected, and who is trying to solve the problem – of course with contact details.
To find related issues, Intelligent Triage uses machine learning techniques, which can be fine-tuned by letting users give feedback on how useful the tips given were in the end. Machine learning is also behind the recommendation engine used for PagerDuty Analytics Intelligent Dashboards. The new feature was added to support teams in understanding operational data and offer them suggestions for which actions should be taken next.
Apart from that, PagerDuty used the last couple of months to update its mobile app and get a Slack integration off the ground. Given the number of teams communicating via the chat platform, the latter apparently was well received and a final result is now generally available.
Nuclio hops down the ML rabbithole
Another project that recently demonstrated extended interest in machine learning is serverless project Nuclio, which parent company Iguazio now fitted with Nuclio ML Functions. The new addition uses the kubeflow project to speed up the running of machine learning pipelines. It also logs ml function activities, so that older jobs can be repeated if necessary.
Nominations for Jenkins board elections now open
Jenkins creator Kohsuke Kawaguchi took to the Jenkins blog to make people aware of the upcoming Jenkins Board and Officer elections. With the nomination process now officially opened, the community is encouraged to send in proposals until October 4th. A list of nominees will be available four days later, with the voting starting on October 14th.
The governance board is supposed to represent the project to the outside world and “acts as the ultimate decision-making authority in case disputes cannot be resolved via the regular project community meeting”.
Checkmk sets eyes on cloud and containers
Checkmk is now available in version 1.6, adding labels and a dynamic configuration daemon, while upping the monitoring tool’s cloud and container game. The latter is realised by a variety of reworked checks, plug-ins to help Azure users monitor storage space, databases and virtual machines and cost, and an agent to keep AWS services in check with as few API calls as possible.
Labels are similar to tags and made their way into the current release to allow users to create conditions for Checkmk rules. The mentioned configuration daemon is only available through the enterprise edition and was brought in to help with the configuration process in cloud and container environments.