
Hands-on workshop exploring OpenTelemetry trace analysis using SQL and Grafana. Learn to ingest, query, and visualize distributed system data for powerful insights and proactive issue detection.

Explore the pros and cons of using service mesh tools like Istio for generating traces compared to OpenTelemetry. Learn about sampling, third-party services, implementation, and visualization to make informed decisions.

Explore real-time observability with OTel distributed tracing, covering challenges, deployment architecture, service maps, and error detection in cloud-native environments.

Explore the latest advancements in Chaos Engineering using LitmusChaos, a powerful tool for enhancing system resilience and reliability in cloud-native environments.

Learn best practices for writing distributed app code that excels at scale, focusing on resiliency, distributed locking, and optimization for Kubernetes environments.

Explore cutting-edge research in theoretical computer science, including secure computation, communication protocols, coding theory, and fault-tolerant algorithms presented at ITCS 2020.

Graduate students present cutting-edge research on distributed systems, including scalable storage, efficient model checking, and safe kernel extensibility, showcasing innovative solutions to complex computing challenges.

Explore advanced cryptographic techniques and applications of secret sharing in this Crypto 2023 session, chaired by Arkady Yerukhimovich.

Explore the development of a gRPC consistent hashring for SpiceDB, enhancing distributed system performance and scalability in cloud-native environments.

Explore choreography sagas in Kalix for cloud-native computing. Learn to implement distributed transactions and manage complex workflows in microservices architectures.

Explore cutting-edge advancements in threshold cryptography and distributed broadcast systems in this comprehensive session from AC 2023, featuring expert insights and discussions.

Explore SIG-Multicluster's solutions for managing multiple Kubernetes clusters, including best practices, current projects, and future directions. Learn how to contribute and shape the multi-cluster Kubernetes landscape.

Explore real-time Adaptive Controls for dynamic tuning of distributed systems, enhancing resilience through automatic parameter adjustment based on error and latency sampling, as implemented at CrowdStrike.

Explore approaches for attaching metadata to logs, metrics, and traces in complex systems. Learn how metadata enhances observability, enables effective troubleshooting, and improves analysis in monitoring systems.

Innovative approach to secure OS recovery, minimizing downtime through progressive block repair and verification. Outperforms conventional methods, enabling swift system restoration with minimal performance impact.

Explore fault detection, recovery, and fault-tolerant system designs for Linux in space environments. Learn strategies to ensure reliability and autonomy in hostile conditions.

Explore a cognitive, self-adaptive system for effective distributed tracing using Jaeger and Open Tracing. Learn how ML improves trace collection, reduces MTTR, and optimizes resource utilization.

Explore Scala-based strategies for building resilient systems, covering bulkhead, caching, config management, fallback mechanisms, retries, and circuit breakers.

Explore chaos engineering principles and practices to build resilient systems. Learn to plan, execute, and analyze experiments for improving fault tolerance and system reliability.

Learn to scale OpenTelemetry collectors using Kafka for improved observability in large-scale systems. Explore architecture, implementation, and monitoring techniques for efficient data processing and analysis.

Explore multi-cloud observability challenges and learn how OpenTelemetry simplifies monitoring across diverse cloud environments for improved system visibility and performance.