
Explore Facebook's mcrouter software for transforming standalone caches into robust distributed systems, addressing challenges like transient failures and multiple clusters.

Learn how Facebook optimized memcached for high-performance caching and storage, including solutions to common issues and innovative modifications to improve efficiency and scalability.

Overview of distributed system design principles for data engineering, covering partitioning, replication, fault tolerance, and scalability. Includes real-world examples and best practices for building robust, large-scale data systems.

Explore Jaeger's distributed tracing capabilities, its integration with OpenTelemetry, and new features like the monitoring tab. Learn about deployment strategies and how to contribute to this open-source project.

Explore Kubernetes trends, challenges, and achievements in 2022. Learn about version 1.24 features and future developments, with insights on Indian contributors' impact.

Explore how graph technology enhances large-scale observability, addressing challenges in understanding complex systems and leveraging interconnected data for more effective monitoring and analysis.

Explore SIG-Multicluster's solutions for managing multiple Kubernetes clusters across cloud providers, including best practices, current projects, and future directions in multi-cluster deployments.

Explore NATS, an open-source messaging system for simplified, globally scalable communication. Learn about its features, patterns, and applications in building adaptive, multi-cloud systems.

Explore multi-site Kubernetes orchestration with Nephio, addressing workload deployment, config specialization, policy conformance, and automated management for complex, interconnected applications.

Explore effective strategies for migrating from Jaeger to OpenTelemetry, preserving key features while navigating challenges. Learn best practices and see a live demo of the migration process.

Explore Jaeger's evolution into a monitoring system with OpenTelemetry integration, including auto-instrumentation, scalable trace pipelines, and new metrics capabilities via Prometheus in the Jaeger UI.

Explore Istio's evolution from Kubernetes abstractions to sidecar model and Ambient Mesh, understanding key concepts and mental shifts for effective implementation and management.

Experts discuss recent advances, challenges, and future opportunities in open source observability, covering ecosystem developments and community impact.

Explore how Open Systems manages observability for 10,000+ global edge devices, collecting 100M+ metrics and 5 TiB logs daily using Thanos and Loki. Learn challenges, solutions, and insights for monitoring large distributed systems.

Explore eBPF's potential to revolutionize service mesh technology, examining its promises, limitations, and impact on cloud-native infrastructure security, resilience, and operational complexity.

Explore challenges and solutions for operating etcd at scale, including memory management, size quota, and revision divergence recovery, shared by Amazon EKS engineers.

Learn best practices for deploying etcd in large-scale Kubernetes clusters, focusing on performance, reliability, and scalability for thousands of nodes. Insights from Datadog and Google Cloud experts.

Explore OpenTelemetry's role in securing cloud-native applications. Learn how to detect vulnerabilities in microservices architectures through a practical Kubernetes example and Jaeger visualization.

Explore etcd's journey in tackling data inconsistencies through innovative testing methodologies, uncovering critical issues and developing a robust framework to ensure system reliability.

Explore Jaeger's evolution with OpenTelemetry, including trace-derived metrics, operational monitoring, and the new Prometheus-powered UI. Learn best practices for scalable trace pipelines and auto-instrumentation.

Explore k8gb, an open-source global load balancing solution for Kubernetes, enabling efficient recovery from regional failures and improving app reliability across dispersed clusters.