Operations | Monitoring | ITSM | DevOps | Cloud

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Intel the era of AI: business transformation with open source | Data & AI Masters

AI is transforming the way organizations work globally. It makes everyone look differently at all scales, from workstations to data centers and edge devices. Intel’s strategy heavily focuses on AI as the next milestone to drive innovation and enable other organizations to move their projects beyond experimentation.

Enhancing Collaboration with AI Security Assistants with Robert Grazioli, CIO, Ivanti

Ivanti CIO Robert Grazioli shares his insights on how AI is transforming the cybersecurity industry. Read the full report for more: ivanti.com/ai-security This expert commentary highlights the importance of AI assistants in empowering security professionals, breaking down silos, and improving response times. Learn how AI is radically reshaping the cyber threat landscape due to AI’s ability to quickly penetrate siloed security operations. However, security teams can leverage AI to counter these sophisticated attacks and boost their own skill sets.

How to Automate CI/CD Tests with Grafana Cloud k6 | Demo | Performance Testing | GitHub Actions

Performance Testing with Grafana Cloud k6: Seamlessly Integrated into CI/CD Pipelines In this video, Grafana Solutions Engineer Sean Carolyn demonstrates how Grafana k6 integrates with CI/CD pipelines to make performance testing an effortless part of the development workflow.

Test for the common failures that cause 80% of outages with Gremlin

80% of failures at the infrastructure layer come from the same core gaps in reliability. Jeff Nickoloff, Gremlin Principal Engineer, goes over how Reliability Management test suites help improve reliability across your organization. Are you waiting for the other reliability shoe to drop and hoping that you actually fixed core resilience issues? Or do you know for sure that you’re resilient to common reliability issues?

Why Gremlin: Today's complex applications need a different approach to reliability

Cloud-based distributed applications have changed how we need to approach reliability and resiliency. How do you make your applications reliable? Here’s Gremlin CEO Josh Leslie to tell you how. Today’s dynamic applications are too complex and constantly changing for humans to wrap their heads around. This means the reliability approaches that worked ten years ago simply won’t be enough. As a technology company (and these days, every company is a technology company), you need to take a different, programmatic approach to testing and improving the reliability of your applications.

The Next Generation of AI-Powered Observability

AI is changing our world, and its impact on observability is no different. This article discusses some of the components of a good observability platform, how AI is well-positioned to revolutionize observability, and how Lumigo Copilot Beta will provide substantial value to customers and partners.

How good is GitHub Copilot at generating Playwright code?

People keep asking us here at Checkly if and how AI can help create solid and maintainable Playwright tests. To answer all these questions, we started by looking at ChatGPT and Claude to conclude that AI tools have the potential to help with test generation but that "normal AI consumer tools" aren't code-focused enough. High-quality results require too complex prompts to be a maintainable solution.

Using server-side caching to speed up your applications, save on infra costs, and deliver better UX

If you’ve ever been floored by a sub-100ms response time, you’ve likely got caching to thank. Caching is the unsung hero of performance, shaving precious milliseconds off your application’s response time by storing frequently accessed data, avoiding yet another round-trip request to the database or API. Let’s break down how caching works and explore a few common strategies.

From Gartner IOCS 2024 Conference: AI, Observability Data, and Telemetry Pipelines

Last week, I attended one of the last conferences of the year with team Mezmo: the Gartner IT Infrastructure, Operations & Cloud Strategies Conference in Las Vegas. Not surprisingly, there were over 20 sessions covering observability and how it is getting increasingly critical in the new complex distributed computing environment. Of course, there were many sessions, including all keynotes that addressed the advent and impact of AI on IT operations and observability.