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ObservabilityCON on the Road Keynote

Grafana ObservabilityCON on the Road 2024 kicks off in the Bay Area with a keynote featuring Richard ‘RichiH’ Hartmann from the Office of the CTO, and Manoj Acharya, VP of Engineering. Learn about the latest developments in the open and composable LGTM (Loki-Grafana-Tempo-Mimir) observability stack, and see demos of the newest additions to Grafana Cloud: Application Observability and Asserts.

• Richard "RichiH" Hartmann, Director, Community, Grafana Labs
• Manoj Acharya, VP, Engineering, Grafana Labs

1. Unify your application and infrastructure observability

   In cloud native environments, finding and resolving issues across services and between application and infrastructure dependencies can be challenging. In this session, learn about Grafana Cloud’s latest capabilities for correlating application and infrastructure observability. You will hear how we unify and contextualize service relationships and application and infrastructure dependencies to help you resolve problems faster.

   Watch this session recorded at the Dallas ObservabilityCON on the Road.

   • Myrle Krantz, Engineering Director, Grafana Labs

Observability as Code at /LiveRamp

Leveraging Terraform alongside Grafana, Kubernetes, and Helm providers, the SRE team at LiveRamp has transformed every aspect of their operational toolkit. From agent installations and synthetic checks to Grafana k6 performance testing, notification policies, contact points, and alerts into modular, code-based components, the team is crafting a cutting-edge observability solution powered by Grafana Cloud. Learn how this seamless integration ensures a robust, scalable, and easily manageable infrastructure that is setting new benchmarks for system reliability and efficiency around the business.

• Chung Tran, Technical Lead Manager, SRE, LiveRamp
• Rajendra Vaishnav, Senior SRE, LiveRamp
• Dalfany Cruz, SRE, LiveRamp

2. Manage rising metrics and logging costs with Grafana Cloud

   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. In this session, we will walk 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.

   Watch this session recorded at the Dallas ObservabilityCON on the Road.

   • Nick Fuzer, Senior Product Manager, Grafana Labs

3. Prioritize critical resources with SLO-driven IRM

   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 session, we will walk through how Grafana Cloud’s integrated SLO and Incident Response Management capabilities can help you identify the most important issues and resolve them quickly.

   Watch this session recorded at the Dallas ObservabilityCON on the Road.

   • Devin Cheevers, Director of Product, Grafana Labs
   • Sarah Kaplan, Senior Engineering Manager, Grafana Labs

4. Building scalable OSS observability with Mimir, Loki, Tempo, and Pyroscope

   Get the latest news about the scalability and performance of the open source telemetry backends that make up the Grafana LGTM Stack: Grafana Mimir for Prometheus metrics, Grafana Loki for logs, and Grafana Tempo for traces. Learn about our newest OSS database, Grafana Pyroscope for continuous profiling, which provides insights into resource usage and latency down to the code level. Finally, find out how to correlate profiles with metrics, logs, and traces for a more holistic view of system health and performance.

   Watch this session recorded at the Dallas ObservabilityCON on the Road.

   • Ed Welch, Principal Software Engineer, Grafana Labs
   • Dmitry Filimonov, Principal Engineer, Grafana Labs
   • Xiaofeng Han, Head of Observability, Roblox
   • Jialin Jiao, Principal Engineer and Engineering Manager, Roblox

Scaling Roblox's Runtime Diagnosis System with Grafana Pyroscope

Xiaofeng Han and Jialin Jiao from Roblox introduce their journey in building a robust runtime diagnostic system using Pyroscope. With over 70 million daily active users and 4.4 million creators contributing to the platform, ensuring reliability and efficiency is paramount. They discuss the challenges faced in debugging production issues and the manual, inefficient methods previously used. Through thorough investigation and collaboration with Grafana Labs, they developed an on-demand profiling workflow, enabling engineers to identify and address performance bottlenecks effectively. They share success stories where this system led to significant CPU reductions and throughput improvements. The ultimate goal is to integrate this system seamlessly into their toolchain, ensuring continuous improvement and uninterrupted experiences for Roblox users.

• Xiaofeng Han, Head of Observability, Roblox
• Jialin Jiao, Principal Engineer and Engineering Manager, Roblox

5. Enhancing Observability Workflows with AI/ML

   At Grafana Labs, we’re excited about the role AI/ML can have in bridging the gap between humans and the beyond-human scale of observability data we work with every day. In this session, you’ll learn about the features leveraging AI/ML that we’ve already released, what’s next, and what the future could hold. We’ll also talk about our big tent, open source approach to enabling the community to use AI/ML to power up the data sources, visualizations, and flows that you build into Grafana everywhere.

   Watch this session recorded at the Dallas ObservabilityCON on the Road.

   • Bob Cotton, Distinguished Engineer, Grafana Labs

6. User-centered observability: load testing, real user monitoring, and synthetics

   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? In this session, we will explore 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.

   Watch this session recorded at the Dallas ObservabilityCON on the Road.

   • Elliot Kirk, Senior Software Engineer, Grafana Labs