Operations | Monitoring | ITSM | DevOps | Cloud

Packet Pushers host Ethan Banks gets an overview of Kentik's new Network Monitoring System, Kentik NMS, from Chris O'Brien, Sr. Principal Product Manager at Kentik. Chris demonstrates key features including how Kentik NMS allows network engineers to take full advantage of streaming telemetry. Faster access to network device data using streaming telemetry over SNMP, ensures that NetOps professionals don't miss critical events that happen between traditional polling intervals.

Networking experts Chris O'Brien and Nina Bargisen join Capacity Media's Jack Allen to explore the evolving role of AI in network monitoring. They delve into historical applications of AI and machine learning in network observability, the integration of large language models for enhanced troubleshooting, and the significance of diverse data sources. The session includes a live demonstration of the AI-assisted query features of Kentik NMS (Network Monitoring System) and highlightings the advantages of streaming telemetry over SNMP. There's also an insightful Q&A session at the end.

In this video, we explore how to use the Checkly CLI to programmatically test and monitor Next.js API endpoints. We'll create a dynamic setup that detects new API GET URLs and use GitHub actions to test preview API deployments and deploy API monitoring after production deploys.

Welcome to last day of SigNoz Launch Week! We will start with a chat with Ankit (CTO, SigNoz) about the evolution of SigNoz, our focus on OpenTelemetry and belief in open-source. Post that we will deep dive into recently released Access Token management feature which will help users programmatically access data stored in SigNoz and unlock powerful use cases. Then we will showcase our new SaaS onboarding flow which makes getting started with SigNoz much easier. We will also discuss the process we follow for improving our documentation & onboarding flow.

Discover what's new on Qovery for Q1 2024.

For day 4, we will showcase the recent work we have done in Logs Pipeline. With Log Pipelines, you can transform logs to suit your querying and aggregation needs before they get stored in the database. Pipelines provide a way to modify the structure and content of log data without needing to change application code or redeploy components. By extracting relevant attributes from logs, pipelines enable more efficient analysis.

Not all incidents are created equal. How do you handle major incidents so that they don't spiral into a chaotic mess, incinerating productivity across too many teams? How do you prevent major incidents and learn from the ones you've had? "Major Incident Management" has been a practice for a long time, but as companies depend even more on digital services and revenue channels, while trying to do more with the same or less, something has to change.

Experience a new level of remote device management without distractions or security concerns with AirDroid Business Black Screen Mode during remote support.

What’s new at Datadog? An advanced feature to search and filter traces; measuring users who regularly engage with your app over time; and a centralized system for tracking, triaging, and addressing security issues.

Learn how Complyt is using Datadog Application Performance Monitoring (APM) and distributed tracing to turn data into knowledge and reduce application response times by more than 80%, which enabled them to meet SLAs for their largest customers.