Operations | Monitoring | ITSM | DevOps | Cloud

PagerDuty acts as the primary interface for real-time actions, seamlessly connecting humans and systems. From the moment a monitoring tool detects a signal to the resolution of an incident, every action is automatically tracked and timestamped. With reduced human error and no risk of missed documentation, PagerDuty provides a reliable, efficient, and transparent incident management solution for financial entities.

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Pagerly Status Page App offers a comprehensive solution to manage and display the status of services with real-time updates, customizable design, and subscriber notifications. Host your status page on a custom domain and include detailed service-level timelines for clarity and professional presentation. Why Pagerly Status Pages are the best Real-Time Updates: Instantly update status pages with both manual and automated workflows to keep everyone informed about incidents as they happen.

Get a bird's eye view of your estate via the Organization Home. This view displays all the workspaces, dashboards and monitors in your organization. Health states are visible at a glance – simply drill down to troubleshoot or explore.

Chris Baker, DBA at Lightico, and Sofia Phillips, SQL Server DBA & Developer at Weightmans, explain why test data management is the biggest challenge they’re facing in their DBA roles currently.

Chris Unwin, Senior Solutions Engineer at Keboola, and Sofia Phillips, SQL Server DBA & Developer at Weightmans, share why they are excited to hear more about Redgate’s new Test Data Manager solution.

Chris Unwin discusses the challenges of test data management and how Redgate can solve them. They highlight the difficulties in finding data, discovering PII data, and implementing protective measures like masking. They emphasize the importance of automating these processes to improve feedback cycles and speed up delivery.

AI isn’t predictable, it adapts, making embedded engineering even more complex. A model that works in the lab might fail in the real world. So, how do successful teams deploy AI at the edge? A/B test models in the field—controlled environments aren't enough. Collect real-world performance data—observability tools are key. AI deployment isn’t a one-and-done process. It requires constant iteration and real-world validation.

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In this video, we walk through how to debug faster with the new Sentry Dev Toolbar, specifically when you're also monitoring errors behind Feature Flags. See how you can track feature rollouts, catch errors tied to specific flags, and get real-time insights without leaving your app.