Operations | Monitoring | ITSM | DevOps | Cloud

We're thrilled that SIGNL4 is appreciated by the G2 community! SIGNL4 has been recognized by G2 as High PerformerBest Results Most Implementable for delivering the Best Estimated ROITop 50 Best German Software Companies Thank you all! ���������� ������������: SIGNL4 is a mobile alerting and incident response solution designed for modern operations teams. With features like duty scheduling, time off management, and real-time mobile alerts, SIGNL4 ensures the right people are notified – even when schedules change.

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.

During an incident, ask the Rootly Agent anything and it'll respond (and act) based on context and your data. Use the Rootly Agent to: The Rootly Agent performs actions on your behalf, so it is bound by the permissions assigned to your user. It will also ask for confirmation before taking significant actions. Rootly admins can turn it on for their workplaces and start running incidents even more efficiently.

In this episode of the Kubernetes for Humans podcast, Philipp shares his incredible 10-year journey at Elastic, witnessing the company's massive growth from 300 to 4,000 employees. Discover the fascinating origin story of how Elastic evolved from a simple recipe search project into a global powerhouse for observability, security, and vector databases.

Kristyna Ferris turned down grad school, learned Power BI, moved into the data world - and never looked back. In this chat with Steve Jones, Kristyna explains why she did it, what she’s learned, and even why her first DBA changed her password! Plus: being a Microsoft MVP, the importance of self-learning, being inspired to get involved with the community, and Kristyna’s passion for Lego, movies, and more!

Can AI actually improve infrastructure operations? Without sacrificing control? In this webinar, see how teams use Puppet AI to understand infrastructure with natural language, reduce operational effort, and move from insight to action faster—all within trusted automation workflows. Watch a live demo of detecting and mitigating a real-world vulnerability, and learn how context-aware AI helps teams scale safely with built-in governance.

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.

I tested the new Anthropic model Fable 5 truly is using data, not vibes. Why does it feel faster? Does it actually cost double? Is it better at coding?

Enterprise service management (ESM) applies the proven model of IT service management, catalogs, workflows, self-service, and SLAs, to the whole business: HR, facilities, finance, and more. Here is what it is and how it works. What is enterprise service management, and how is it different from ITSM? In this explainer we define ESM, show how it works across departments, clarify how it builds on IT service management, and cover the mistake most teams make: copying IT ticket forms instead of orchestrating work across teams.

In this video, our engineering team takes you through a full end-to-end Kubeflow implementation, step by step – from data exploration to production inference. Follow the journey of a house price prediction use case and see how modern MLOps components work together: Kubeflow architectures and starter repositories Notebook-based development workflows Data exploration and model development MLflow for experiment tracking Katib for hyperparameter optimization Kubeflow Pipelines for automated preprocessing and training KServe for scalable model inference.