Streamline Model Monitoring with Integrated Alerts Arize is an ML Observability platform aimed to detect, troubleshoot, and eliminate ML problems faster. Use Arize to monitor your production models and send alerts to PagerDuty when your models deviate from a certain threshold. Arize and PagerDuty help keep your teams in the loop, send more comprehensive metadata through alerts, and debug your models faster than ever before.

Product managers Forrest Evans and Jake Cohen show off new features and enhancements in PagerDuty Process Automation and Rundeck Open Source version 4.4.0. Version 4.4.0 features two new plugins for #AWS:#Lambda Custom (ephemeral) scripts#ECS/#Fargate Commands For more details on other improvements in this release, see the full Release Notes.

Use Service Standards to improve operational maturity and provide a better customer experience by establishing criteria that standardizes what ‘good’ looks like across teams. Configure services according to best practices and scale service ownership across the entire organization

You're convinced that automation of standard, basic tasks is the right way to go for your team. You want to get your teams """"out of the muck"""" and into more value-added tasks, such as the creation of new features, or launching new clients, or expansion into new territories. How do you build consensus with your teams? With your leadership? To convince your executive team that automation is the way to go, they'll insist on metrics to capture their return, whether through increased agility, improved service stability, and so on.

Receive API incident alerts from Postman Monitors in PagerDuty. Trigger incidents in PagerDuty based on your Postman monitor results, helping your team investigate and resolve collection run failures quickly.

Joining João Freitas, GM & Engineering Site Lead in Lisbon for this 360º Fireside Chat about PagerDuty’s projects, challenges, the technical parts of PagerDuty and how everything comes together and where we are today and where we’re going in the future.

Scott McAllister, Developer Advocate, PagerDuty Alena Pantuzenko, Software Engineer, PagerDuty

Learn about the day in the life with the PagerDuty Operations Cloud to be ready for anything in a world of digital everything. Watch as the platform helps an organization face increasing digital complexity and dependencies and leverages PagerDuty to transform their operations from manual, rigid, and ticket queue-based, to a continuously improving system that focuses on outcomes and customer experience, delivers operational speed AND resilience, and is heavily automated and augmented by machine learning and AI.

Scott McAllister, Developer Advocate, PagerDuty Andreas Lundgren, Software Developer, Storytel Andreas is the author of GCP Integration with PagerDuty using Terraform.

This is a simulated incident call recording based on a real PagerDuty incident from Jan 2017. The purpose of this simulation is to show how Incident Command System principles are applied to technical product outages.