Operations | Monitoring | ITSM | DevOps | Cloud

PagerDuty Process Automation is a self-hosted deployment of PagerDuty Runbook Automation that provides maximum flexibility for security configurations and custom integrations.

Struggling with effective monitoring for your services? Not sure how to handle the volume of information your environment creates? Join us for a panel discussion about Monitoring and Observability, featuring Jason Hand of Datadog, Ernest Mueller of Accenture, Steve McGhee of Google, and Peco Karayanev of PagerDuty. Hosted by PagerDuty DevOps Advocate Mandi Walls.

We'll be exploring how to leverage Service Standards to follow best practices on PagerDuty Technical Services configuration.

About ObservIQ: observIQ brings clarity and control to our customer's existing observability chaos. How? Through an observability pipeline: a fast, powerful and intuitive orchestration engine built for the modern observability team. Our product is designed to help teams significantly reduce cost, simplify collection, and standardize their observability data.

In 22.04, Canonical announced a beta version of the Ubuntu kernel with the PREEMPT_RT patchset integrated. The new real-time kernel serves extreme latency-dependent use cases and provides deterministic response times to service events. By meeting stringent preemption specifications, real-time is suitable across a broad range of verticals, from telco applications to dedicated devices in industrial automation and robotics.

The Netdata Team is very excited to introduce you to all of you the most robust & reliable Netdata we have ever built!

Tim and Tom hosted a very special DEX Show episode LIVE at an incredible, standing-room-only Experience Everywhere event in London. They were joined for the occasion by two amazing guests - Darren Wright (Vice President, Information Technology, Honeywell) and former F1 driver and entreupreneur Robert Doornbos. It was an amazing conversation in front of a huge crowd – touching upon data, Formula 1, adaptation, technolgy, employee engagement and much more.

Datadog, the observability platform used by thousands of companies, runs on dozens of self-managed Kubernetes clusters in a multi-cloud environment, adding up to tens of thousands of nodes, or hundreds of thousands of pods. This infrastructure is used by a wide variety of engineering teams at Datadog, with different feature and capacity needs.