Operations | Monitoring | ITSM | DevOps | Cloud

In this webinar, Ara Pulido, Technical Evangelist at Datadog, will demonstrate how to autoscale your application workloads on OpenShift. You will learn frameworks for how to identify their key work and resource metrics; as well as how to use them to drive horizontal and vertical pod autoscaling so that you can maximize efficiency, while ensuring service reliability.

Are you currently operating on a hybrid-cloud or multi-cloud architecture and wanting to standardize SLO’s, observability, and alerting across your platforms? In this video, Yuri Grinshteyn shows you common architecture patterns for a hybrid observability approach. Watch to learn how you can standardize observability across multiple cloud providers!

The objective of this workshop will be to introduce participants to the RED and USE monitoring methodologies. We will compare and contrast the two methodologies. Care will be taken to highlight best practices associated with each methodology. The workshop will culminate in participants designing schema and using flux to create relevant visualizations of their data.

Dan walks through how to configure AWS CodeBuild to push packages to Cloudsmith.

Learn how to integrate (install/configure) the PagerDuty Atlassian Jira Server and Data Center Integration V4 and test the integration workflow. Enjoy a suite of capabilities that allows users to coordinate an incident response right from a Jira issue by using the PagerDuty sidebar. Drive synchronization and collaboration between teams with complex workflows. Map users and accounts across PagerDuty and Jira Server and Data Center.

Bitbucket Cloud team Product Designer demos how you can view your assigned Jira issues on your Bitbucket dashboard. Check out this feature to learn how to help your team quickly find, pick up and update your issues! Thanks for watching and don't forget to subscribe to our channel!

Recorded on Wednesday 24th June 2020

How to declare an incident on FireHydrant using our Slack integration.

Kibana is quite powerful and versatile for visualizing data in Elasticsearch. The Elastic Stack can be used for a variety of use cases. One is the detection of frauds e.g. in Banking transaction like within Softbank Payment Service or bonus point accounts like within Miles and More. Other areas are insurance or tax return data.

Kibana is a powerful and flexible tool to search and visualize your logs in Elasticsearch – but only if you know how to use it! Zach Hamilton, a Sales Engineer at Logz.io, has enabled hundreds to be successful with Kibana and will provide his insights for best practices in this webinar. Understanding Kibana’s strengths and quirks can help you more efficiently explore your log data so you can quickly understand what’s happening in your environment.