Operations | Monitoring | ITSM | DevOps | Cloud

Microsoft's Kevin Lam and Ajeta Singhal lead an exploration into real-time event streaming and Azure Stream Analytics. They discuss the transformative journey of data consumption, Azure's robust no-code capabilities, and introduce Microsoft Fabric, likened to "Office 365 for Data." The session concludes with an engaging demo on Synapse Real-time Analytics, providing attendees with a compact yet comprehensive glimpse into the future of data analytics.

We get a lot of questions from mobile developers about the difference between Sentry and Firebase Crashlytics, a lightweight crash reporting tool. In this workshop, we provided all the details you need to know to make an informed decision.

As Zendesk migrated from a monolithic application to an ecosystem of hundreds of services, its need for fully unified and standardized observability became a chief concern. In this talk, Senior Principal Engineer Daniel Schierbeck shares how adopting a service mesh has helped Zendesk teams manage its growing number of services while standardizing its observability. He also explains how Zendesk’s approach to monitoring service interactions has evolved as it adopted Datadog metrics and Datadog APM.

Steve Barriault, VP of IoT Field Engineering of Canonical, introduced various demo of running Ubuntu Core on Intel IoT platforms.

Are your SRE and platform teams under pressure to ingest fewer metrics and logs in the name of cost savings? Reducing costs does not have to mean reduced observability. This recording walks through the cost management features in Grafana Cloud that allow you to analyze, attribute, monitor, and optimize your metrics and logs usage – and lower costs – without compromising your observability strategy.

The cloud-based CRM company Pipedrive has been relentlessly modernising its observability stack, first adopting Grafana visualisation and Grafana Mimir for Prometheus metrics, then recently completed a migration of its distributed tracing from a third-party SaaS provider to OpenTelemetry and Grafana Tempo, and its logging stack from Graylog to Grafana Loki. Along the way, the team developed its own in-house library to include OpenTelemetry in its roughly 750 microservices.

A majority of respondents in our Observability Survey said they were using SLOs or moving in that direction. For good reason: By highlighting the most critical error budget burndown, service level objectives (SLOs) can help you prioritize performance issues based on business impact. In this recording, Josh Abreu Mesa and Reem Tariq walk through how Grafana Cloud’s integrated SLO and Incident Response Management (IRM) capabilities can help you identify the most important issues and resolve them quickly.

Understanding your end users’ experience with your applications and services is critical, and there are a variety of tools to help. But there are also a number of different use cases: During development or in production? Simulate user behavior or monitor real user behavior? What should you use and when? This recorded session explores when and how to apply load testing, synthetic monitoring, and real user monitoring to gain insights into the end user experience of your critical applications.

In cloud native environments, finding and resolving issues across services and between application and infrastructure dependencies can be challenging. In this recording, we provide demos on Grafana Cloud’s latest capabilities for correlating application and infrastructure observability: Application Observability and Beyla — both generally available. You will hear how Grafana unifies and contextualizes service relationships and application and infrastructure dependencies to help you resolve problems faster.

Automate shipping code through Slack, or better yet, skip the manual steps altogether! This video covers three steps to use Sleuth to automate code deployments using Slack. A bonus tip shows how to use Sleuth to automate the promotion of builds from staging to production, but in a safe manner with automatic health checks. Give Sleuth a try and see how we give teams actionable insights on how to improve with no-code automations to instantly ship improvements, and metrics to measure their impact — all in a way that both managers and developers love.