Operations | Monitoring | ITSM | DevOps | Cloud

Follow Ethan Keaton installing Graylog V5 on Ubuntu 22.10 while he also installs OpenSearch V2.5 with the new Deb Package.

Incidents happen. You can have a better experience managing incidents end-to-end with PagerDuty. Learn how you can leverage automation, work where you want, and integrate with all your tools in under two minutes.

Event Tagging is a rule-based, auto-tagging system with which you can define customized tags based on incident payloads, that get automatically assigned to incidents when they are triggered. This video explains how to create Tagging rules for efficient Incident Classification.

Manually deploying OS to multiple machines can be a tiresome process for any IT administrator. Automate OS deployment directly from your console using Zero-touch deployment.

ManageEngine CloudSpend is a comprehensive cloud cost management tool that helps you to reduce your cloud bill and take informed business decisions.

BigPanda transforms IT data into actionable intelligence and automation, enabling incident response teams to increase uptime, efficiency, and velocity.

A brief introduction to the challenge of observability data being spread across the organisation, and how SquaredUp's data mesh approach can help to leverage your existing tools to deliver consolidated insight.

Application and integration DevOps professionals rely heavily on messaging, event processing, and streaming to build mission-critical applications. meshIQ delivers a single pane of glass that provides visibility into complex M/E/S/H environments, significantly reducing the risks to application stability and performance.

These Jira dashboards give a clear overview of your Jira instance and provide more details on the key items over which the engineering team needs oversight, like build status, critical bugs, and costs. Creating Jira dashboards in SquaredUp means Engineering Management doesn’t have the additional work of collating all the detailed Jira data to make sense of it from a high level. It also enables Release Teams to more easily consume data surfaced from all the engineering teams, while still being able to drill into the details of each dashboard as needed.