Operations | Monitoring | ITSM | DevOps | Cloud

Dataspaces and Datasets | The Structured Data Layer for Teams and AI | Coralogix Dataspaces and Datasets from Coralogix: the structured data layer teams and AI were waiting for. Turn a single query into a reusable dataset, share it across teams, and keep dashboards fast as your data scales. In this video: Timestamps: Dataspaces and Datasets are available now in Coralogix. Whether you're building dashboards, running background queries, or powering AI agents with telemetry data, Dataspaces give your organization a governed, high-performance data architecture that scales with your teams.

Discover how Motadata ServiceOps unifies IT service management, IT asset management, and patch management in a single ITIL-aligned platform. Powered by AI, it helps automate workflows, streamline ticket resolution, and improve service delivery. One platform for service, assets, and everything in between.

Learn how to create a user-defined dataset in Coralogix and route telemetry data into it using TCO policies with granular DataPrime expressions. In this walkthrough, you'll learn how to:• Create a new dataset with its own schema, permissions, retention, and cost visibility• Configure PBAC settings for governed access control• Route data using DataPrime expressions in TCO policies• Fan out events to multiple datasets from a single source.

Every minute of downtime impacts your business. Mean Time to Resolution (MTTR) measures how quickly your team can resolve incidents and restore services. In this video, learn 5 proven ways to reduce MTTR using unified observability, AI-powered alert correlation, automated runbooks, and ITSM integration to resolve incidents faster and minimize downtime. In this video, you'll learn.

#claudecode #anthropic #observability

AI is transforming IT operations through automated incident response, intelligent event correlation, predictive analytics, and agentic AI. But while technology is evolving rapidly, human judgment and strategic decision-making remain essential. In this video, explore what's changing in IT operations, what isn't, and how IT leaders can prepare for an AI-driven future with AIOps, observability, and automation. Learn how Motadata helps organizations build smarter, more proactive IT operations.

This walk-through shows how Splunk's Cloud can discover schema and partition keys for Microsoft Azure Blob Storage datasets and create searchable Splunk managed tables. Once the data is mapped, analysts can use Splunk Federated Search to query Azure Blob data where it lives, bringing cloud-resident logs into security, observability, and operational work-flows without re-ingesting the data.

Learn why manual patch management creates unnecessary risk for IT teams and how automated patch management helps organizations improve security, compliance, and operational efficiency. Discover how automation eliminates repetitive tasks, reduces human error, prioritizes critical vulnerabilities, and accelerates patch deployment across the entire IT environment.