Welcome to Odigos blog where we write about distributed tracing, OpenTelemetry, eBPF, performance and company culture.
Meet the People Behind Odigos at KubeCon in Chicago
This blog shares the results of our performance tests creating OpenTelemetry traces with eBPF-based automatic instrumentation vs traditional instrumentation
What are log pipelines, why we need them, what purpose do they server and how to design them?
Odigos Launches New Website with Enhanced Focus on Implementing Distributed Tracing
Hydrogen Pay, a subsidiary of Access Bank plc, benefited from Odigos for cost-effective Distributed Tracing, a valuable solution for financial institutions and Fintech companies.
Learn how Keyval utilizes the ko build tool to effortlessly build and deploy Go microservices in Kubernetes, streamlining the development process.
Discover the enhanced Odigos UI, designed to simplify application discovery and instrumentation management for your observability pipeline.
This article delves into the organizational effort required to unlock the full value of distributed traces in observability.
Explore the latest release of Odigos (v0.1.52), which introduces seamless Go instrumentation via a daemonset, eliminating the need for sidecars and enhancing performance.
Discover the latest enhancements in language detection within Odigos, including improved speed and efficiency.
Discover how Odigos simplifies application discovery using Kubernetes labels and provides more flexible instrumentation options.
This article explains how to simplify distributed tracing using Odigos and Jaeger for improved observability in microservices-based applications.
Learn how to generate and send OpenTelemetry data to Amazon Web Services S3 using Odigos, improving your data storage and analysis capabilities.
Explore the various methods for extending containers, and learn why Odigos opts for Kubernetes Device Plugins to enhance container functionality.
Learn how to send OpenTelemetry data to Google Cloud Storage using Odigos, improving your data storage and analysis capabilities.
Explore the latest features, improvements, and additions in Odigos version v0.1.4, including ARM support and new destinations.
Explore our predictions for the evolution of distributed tracing, a critical component in achieving comprehensive observability, as we foresee widespread adoption and groundbreaking advancements.
Odigos now offers integration with five leading open-source observability backends like Prometheus, Jaeger, Loki, Tempo, and SigNoz, giving companies the flexibility to choose the best-fit solution for their observability needs and paving the way for multi-vendor observability stacks
Today, we're thrilled to unveil Go automatic instrumentation v0.6 and Odigos v0.1.3, enhancing observability for Go developers by enabling automatic context propagation in any Go application.
Odigos simplifies observability with automatic instrumentation, collector management, and easy scalability. It streamlines data collection, ensuring efficient end-to-end observability for modern applications.
Learn how to construct a comprehensive open-source observability pipeline on Kubernetes using Odigos, Tempo, Jaeger, and Prometheus, enabling efficient tracing, metrics, and logs correlation.
Explore the capabilities of Odigos, an open-source observability control plane that simplifies observability for organizations of all sizes.
