Operations | Monitoring | ITSM | DevOps | Cloud

Artificial intelligence has captured the attention of the world, with tools like ChatGPT and large language models (LLMs) driving the conversation. But you don’t need to wait for the future or new features powered by LLMs to start working smarter—the tech industry has been investing in intelligent, automated tools for years and they’re ready for production now. In this talk, you’ll learn how the engineering teams at Toyota Connected use tools like Datadog Watchdog, Anomaly Detection, and Workflows to make our lives easier and keep our platform stable.

Learn how the new Checkly features (code exporter and activity log) enable you to integrate Monitoring as Code into your Software Development Lifecycle. Define and debug your monitoring resources during development, test your preview deployments and start monitoring productions with ease.

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Get an overview of Digital Forms in Velocity, tour our Community portal, learn how to optimize apps for the WS50 wearable, and how Neurons for IIoT makes it easy to add devices to the Velocity platform using HTTP.

Before Datadog was a widely adopted SaaS platform, it was a tool developed to solve our founders’ own monitoring needs. As technology-oriented people, we often build solutions for our own problems, then discover those problems are widespread. But how do you know when your solution should be something more? In this panel session, we’ll talk with tech startup founders to hear their stories and advice for turning tools into businesses.

Check out this quick demo of Jupyter Notebook previews directly in Mattermost. While this is a work in progress, we hope to have it implemented soon in the Mattermost AI plugin.

Dive into the world of Kubernetes at the Edge with Portainer with Neil Cresswell. In this talk, learn how Portainer transforms container management by making Kubernetes deployment at the edge effortless and efficient. Through this talk, revoluntionize container management and orchestration by simplifying Kubernetes deployment at the edge. This is aimed at making deploying, updating, and maintaining Kubernetes clusters on edge devices more streamlined and accessible, benefiting industries like telecommunication, healthcare, and manufacturing where low latency and high reliability are critical.

Join Nica and Pranay as we discuss architecting and collecting data with the OpenTelemetry Collector. We discuss using Apache Kafka queues to handle OTLP data, and why you probably shouldn't push OTel data straight to Postgres.

Whether you're a business owner, customer support enthusiast, or tech enthusiast, this video is a must-watch for everyone looking to stay ahead in the tech-driven landscape. In this video, we'll explore the magic behind AI algorithms that intelligently categorize and prioritize incoming tickets, ensuring customers are swiftly connected with the right agents. Witness the seamless integration of AI-driven chatbots, providing instant and personalized responses to common queries, enhancing the overall customer experience.

Website performance requires real-time monitoring data from actual user experience and simulated data from synthetic monitoring for a firm grip on how your website functions worldwide in different settings. Every second of website downtime from issues such as domain misconfiguration or regional ISP glitches affects your reputation and revenue, requiring you to stay alert always.

In this video you will learn how to Install OpenStack in five simple steps. Looking for an easy OpenStack installation tutorial for beginners? Break the ice with OpenStack today by watching this video.