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Observability is essential, but common antipatterns like over-collecting data, siloed tools, and poorly instrumented code can derail your efforts. This session uncovers the most frequent observability pitfalls and shows how OpenTelemetry addresses these challenges with its standardized approach. From eliminating vendor lock-in to streamlining telemetry pipelines, you’ll gain insights into building a more effective and sustainable observability strategy. Real-world examples will highlight how teams have successfully overcome these antipatterns, empowering you to avoid costly mistakes and maximize OpenTelemetry’s potential.
Steve Flanders is a Senior Director of Engineering at Splunk responsible for the Observability Platform team, which includes contributions to the OpenTelemetry project. Previously, he was the Head of Product and Experience at Omnition, which Splunk acquired. Prior to Omnition, he... Read More →
Observability for cloud-native software applications requires efficient and reliable methods to gain insights into distributed systems. This talk will explore various instrumentation approaches for Golang, focusing on the concept of compile-time auto-instrumentation with OpenTelemetry. We will unveil implementation details of compile-time auto-instrumentation, highlighting the revolutionary features including flexible custom plugin capabilities, enhanced context propagation, trace-log correlation, and etc. The talk will cover examples of using compile-time auto instrumentation, lessons learned from the practice and scenarios that benefit from such an implementation. The audience will take away a solid understanding of how compile-time auto instrumentation works and why it presents an efficient and more performant solution for achieving observability.
Przemek is a founding engineer at Quesma, working in the data transformation space and responsible for architectural direction. An observability veteran with over 15 years of experience at Dynatrace and Sumo Logic. OpenTelemetry Maintainer. Designs programming languages for fun
gRPC’s performance advantages hinge on minimizing latency, but its binary protocol and streaming capabilities make debugging and monitoring inherently opaque. While distributed tracing identifies bottlenecks, metrics like error rates and throughput are critical for holistic insights. Yet, manual instrumentation for these signals in gRPC is complex, error-prone, and lacks standardization.
In this talk, Purnesh Dixit from the gRPC team unveils the new OpenTelemetry plugin for gRPC, developed by the gRPC team at Google, which provides unified metrics and tracing out-of-the-box to monitor retries, diagnose streaming bottlenecks, and optimize performance without invasive code changes. 1) Client-per-call: Track overall RPC lifecycle (e.g., grpc.client.call.duration).
As large language model (LLM) applications are widely deployed, their complex architectures challenge business observability. APM probes, which rely on instrumentation or proxy operation, consume system resources and impact traffic and performance, restricting their use in complex scenarios. Also, multiple teams handling different LLM instances make it hard to coordinate unified observability construction. To solve this, China Mobile‘'s Panji platform collaborates with DeepFlow to achieve zero-intrusion (Zero Code) and full-stack (Full Stack) observability instantly, using eBPF and Wasm technologies. eBPF collects real-time data at the kernel level, while Wasm plugins parse streaming requests. By integrating existing data, the platform provides service universal map, distributed tracing, and multi-dimensional metric analysis, ensuring the stability and performance optimization of LLM applications.
Dr. Shang Jing, Chief Expert at China Mobile Group, has over 20 years of experience in IT system development, construction, and operation. Specializing in big data and cloud technologies, she led the development of China Mobile's Wutong Big Data Platform. Under her leadership, the... Read More →
Starting from graduate school at Huazhong University of Science and Technology in 2013, I joined Tencent Cloud virtual network team in 2016, which provided me with in-depth theoretical knowledge and practical experience in cloud networks. In 2018, I joined YUNSHAN Networks as PM... Read More →
