Operations | Monitoring | ITSM | DevOps | Cloud

Struggling with integration testing because of a Postgres database dependency? Testing can feel impossible when you need to replicate realistic data in Postgres. That’s where Speedscale’s Postgres Mocking Tool comes in. Speedscale drops a recorder into your live system, observes all Postgres traffic, and shows you the actual sequence of statements and responses—making it easier than ever to test reliably.

Manual hunts for sensitive data are slow, error-prone, and expensive. Cribl Guard combines advanced AI with a human-in-the-loop control point to spot sensitive data, such as credit card, passport, and Social Security numbers, as it flows through Cribl Stream. Whether you’re fully cloud or hybrid, Cribl Guard puts you firmly in control of every piece of sensitive information that crosses your pipes.

Cortex is now in the Devin Marketplace keeping your AI within the guardrails of your org wide best practices With this integration, Devin, the world’s first AI software engineer, can use Cortex data & best practices, like Scorecards, to understand your engineering standards and automatically fix issues at scale. Here’s how it works: Watch the demo to see how Eyal, one of the engineers at Cortex, used Cortex & Devin to turn best practices into action.

Ribbon Acumen is an AIOps & Automation platform for voice and data networks. It's comprised of a series of ready-made applications and a Builder capability that enables organizations to combine those applications with AI to create custom workflows. Those workflows can analyze and react to data from devices and applications, enabling Acumen to automate network deployment and operations, as well as provide tools to rapidly resolve issues.

In this episode, Martin Abbott sits down with Ahmed Bayoumy, a Microsoft MVP and integration expert, to discuss his unique journey into the world of integration - from a background in construction project management to becoming a passionate integration professional. They explore the evolution of integration technologies, the impact of AI on integration, and the importance of adapting to new tools and trends.

Join Mick and Sebastian as they dive deep into the world of enterprise integration, exploring the evolution from BizTalk Server to Azure Integration Services and the growing impact of AI on integration projects. Discover how integration is crucial for breaking down data silos to power AI models, the importance of data privacy and compliance especially in the EU and the challenges developers face in keeping up with rapid technological change.

The AIOps and observability market has always been fragmented—and it’s not by accident. Different domain-specific tools, multiple data types, and reliance on supervised learning created complexity and silos. Now, a new approach is emerging. By placing LLMs at the center of decision-making, Agentic AI has the potential to unify this fragmented space and truly transform AIOps. This clip explains the root of fragmentation—and why the agentic approach offers a way forward. For a deeper dive, visit our website to see how the Fabrix.ai platform is architected to solve the real-time data challenge in AIOps.

True reliability is when your engineers have confidence in their systems and their teams. Full transcript: Reliability to me means my on-call shift is gonna be smooth because everybody is making the attempts to be smart about the type of code that we're writing. And we're regularly testing to make sure that our system has redundancy and can withstand latency spikes, it can withstand resource spikes.

Downtime is an expensive inconvenience. Yet many IT teams still face monitoring blackouts due to rigid licensing models and outdated failover strategies. In this session, we’ll introduce a smarter approach: High Availability by Design. Whether you're scaling operations or modernizing infrastructure, this session will enable you with the tools and insights to build a resilient, future-ready monitoring strategy.

Pair Playwright with LLMs to plan, generate, refactor, and monitor end-to-end tests, without shipping hallucinations. This webinar showcases practical workflow: ground models with fresh docs, driving the browser via Playwright MCP, auto-fixing failing tests, refactoring to POMs, add API checks, and reusing the same suite for synthetic monitoring in Checkly. Chapters.