Resolve Webinar clip: Scaling Autonomous Operations with Agentic AI #aiautomation #itautomation
From our webinar: Scaling Autonomous Operations with Agentic AI Learn why manual service desks don’t scale and how autonomy actually works.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
Splunk Cloud Platform Migration Process
Decide on your migration strategy, optimize and move your data sources, searches, users, apps and knowledge objects to the Splunk Cloud Platform.
Poisoning the Well: The Invisible Danger in Your AI Supply Chain
Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community.
Build custom apps in seconds with conversational AI in App Builder
Using a drag-and-drop interface, engineering teams can create apps that support troubleshooting, improve day-to-day operations, and offer self-service access without leaving Datadog. With the new conversational AI feature, teams can turn an idea into a working app in seconds. Watch the video to see how it works..
Fleet Management: Manage your telemetry collectors at scale
In this video, we introduce Fleet Management and how it helps teams control their telemetry estate as it scales. See how you can centrally manage collectors and agents, standardize configurations across environments, and roll out updates confidently, reducing operational effort and risk.
DLP: The Key to Secure K8s Testing #speedscale #dlp #kubernetes #devops #testing
Testing with production traffic doesn't have to be a security risk. Engineers often avoid production data because of sensitive info like passwords, tokens, and PII. But legacy test data management is too static for modern, fast-changing payloads. Enter the Speedscale Streaming DLP Engine. It automatically detects and redacts sensitive data in real time as it's captured from your environment. You get the realism of production traffic without the risk of a data breach.
Why 2025 Changed Everything for DevOps and What Puppet Built to Meet It
In 2025, DevOps teams faced a pivotal moment. The era of treating security as an afterthought was over. Practically overnight, airtight protection became a non-negotiable requirement across every layer of the technology stack, whether on prem, in the cloud, or at the network’s edge. For many teams, this wasn’t just a technical hurdle; it was a daily source of stress.
Trace-connected structured logging with LogTape and Sentry
As our applications grow from simple side projects into complex distributed systems with many users, the “old way” of console.log debugging isn’t going to hold up. To build truly observable systems, we have to transition from simple text logs to structured, queryable, trace-connected events.
Technical Debt for Middle Mile Broadband: Why Access-Agnostic Intelligent Middle Mile Matters
Technical debt refers to the future costs and limitations incurred when organizations opt for short-term solutions over robust, long-term scalable architectures. For the middle mile, technical debt often manifests as equipment or network designs that restrict long-term flexibility, scalability, or interoperability.
Beyond the Hype: Building a Future-Proof Foundation for the AI-Native Enterprise
We are witnessing a fundamental transformation in how software is built. The industry has moved beyond the experimental phase of Machine Learning Operations and entered a complex new reality: the era of the AI Software Supply Chain. The adoption metrics confirm this shift is irreversible. Google reports that 90% of tech workers are now using AI as part of their daily work. Similarly, McKinsey data reveals that 88% of organizations use AI in at least one business function.