Operations | Monitoring | ITSM | DevOps | Cloud

PagerDuty AIOps works out of the box reducing noise, creating context and automating toil so that teams can enjoy fewer incidents, faster resolution and greater productivity. Learn more in less than two minutes.

Most applications have their own custom logs. This video will show you how Elastic Observability can easily ingest custom logs using the Elastic Agent. Additional Resources.

n this demo, Andrew Pankevicius, Sr Product Manager - Open DevOps, walks through Open DevOps' Progressive Delivery capability. With Jira Software’s updates to the Releases Hub, Atlassian helps multidisciplinary software teams plan, track, and ship progressively, together. The features showcased in this video are available to all Jira Software cloud users.

What do you do when your service is on fire and you need to stop any changes before they reach the production branch? Use a GitHub personal token. Here's a quick and easy how-to. Give Sleuth a try and see why it's a deploy-based Accelerate / DORA metrics tracker both managers and developers love.

How prepared is your team to handle outages or system failures? PagerDuty’s Digital Operations Maturity model helps organizations plot their path to more resilient operations.

PagerDuty is a comprehensive incident response solution that unifies disparate tools into a single platform. This helps teams respond to incidents faster and more effectively while reducing operational costs. PagerDuty also supports a shift from manual, reactive incident management to an automated, proactive approach, making the incident response process more efficient and resilient.

Leverage AI-powered self-service to perform powerful root cause analysis that effectively addresses critical IT downtimes.

Chris Yates, Senior Vice President | Managing Director of Data and Architecture at Republic Bank details how the tools within SQL Toolbelt Essentials have increased team efficiency by over 40%.

This week, GitHub changed how the archives they provided are made. The result of this change surprised developers, triggering pipeline failures all over the world in most ecosystems. This change has thankfully been retracted. Hear from JFrog Developer Advocate, Christopher McArthur on why this took place and the best practices to prevent future disruptions to your pipelines.

This video will show how you can analyze data on a specific chart on an Elastic dashboard to help you analyze that data and provide insights.