Operations | Monitoring | ITSM | DevOps | Cloud

Join JFrog’s Baruch Sadogursky and HashiCorp’s Taylor Dolezal as they walk you through best practices for helping to enhance your team’s artifact experiences. Together HashiCorp and JFrog enable you to automate your application infrastructure end-to-end. While HashiCorp technologies implement Infrastructure as Code, the JFrog Platform manages all of the binaries, artifacts and dependencies for each build, and automates the software composition analysis, build information and deployment.

Increase release velocity, improve reliability and comprehensively monitor CI/CD pipelines with industry leading metrics and actionable insights generated automatically from Jira, GitHub, Jenkins, PagerDuty, Bitbucket, Opsgenie, and more.

Finding information on critical incidents quickly is an essential Mattermost workflow for dev teams. We're streamlining the steps to find and parse the incidents you care about most -- check out the new flow in this demo.

Detox is a tool for gray box end-to-end testing that the Mattermost QA and Mobile teams uses for testing our mobile UIs. Learn more about how we're using it in this demo.

A cloud is a cloud is a cloud. In this session of Dissecting DevOps, Dave and Chris explore the flavors of cloud, and how the considerations around monitoring and observability change for hybrid cloud environments. We understand tech-enabled enterprises have to support legacy and modern infrastructures. Having the right approach streamlines that effort and makes sure data is not inhibited by cloud boundaries.

Cloud Solution Architect Idan Shahar and Open Source Lead Adir Ron, from Microsoft, join Logz.io product evangelist Dotan Horovits to share how access to the most popular open source tools in a single platform maximizes your DevOps team productivity when they’re monitoring Microsoft Azure environment for production issues.

Quick walkthrough video of a few key features of JFrog Artifactory.

Co-founder and Cheif Data Scientist Dr. Ira Cohen of Anodot will present the challenges in leveraging AI for Autonomous network monitoring. The presentation will review the following topics.