Odigos

KubeCon + CloudNativeCon is the premier event for Kubernetes and cloud-native enthusiasts. In its 2023 edition, Odigos made a significant impact with its innovative solutions and insights into the future of observability. This article highlights Odigos's participation and key takeaways from the event.

Odigos's Journey at KubeCon + CloudNativeCon 2023:

KubeCon + CloudNativeCon 2023 was a landmark event for Odigos, solidifying its position as a leader in the cloud-native observability space. With its innovative presentations, product launches, and community engagement, Odigos left an indelible mark on the event, promising exciting developments in the coming months.

Highlights and takeaways from Odigos' participation in the renowned KubeCon + CloudNativeCon event.

Odigos at KubeCon + CloudNativeCon 2023

Instrumentation is a crucial aspect of observability, allowing developers to monitor and analyze application performance in real-time. With the advent of eBPF (Extended Berkeley Packet Filter), auto-instrumentation has gained traction, offering a compelling alternative to traditional manual instrumentation. This article delves into the differences between eBPF-based auto-instrumentation and manual instrumentation, highlighting their respective advantages and use cases.

Comparing eBPF-Based Auto-Instrumentation and Manual Instrumentation:

Both eBPF-based auto-instrumentation and manual instrumentation have their merits, catering to different monitoring needs. While eBPF offers a hassle-free, broad monitoring perspective, manual instrumentation provides depth and customization. Organizations should evaluate their specific requirements, weighing the trade-offs between ease of implementation, granularity, and flexibility, to choose the most suitable instrumentation approach.

A comparative analysis of eBPF-based automatic instrumentation and traditional methods, showcasing the advantages of the former.

eBPF-Based Auto-Instrumentation vs. Manual Instrumentation

Logs are the lifeblood of system observability, providing a detailed account of application activities and system events. An efficient log pipeline ensures that logs are collected, processed, and stored in a manner that facilitates easy analysis and rapid troubleshooting. This article outlines the steps to design an effective log pipeline that optimizes performance, scalability, and cost.

Steps to Design an Effective Log Pipeline:

Designing an effective log pipeline is crucial for maintaining system health, ensuring security, and facilitating rapid troubleshooting. By following the outlined steps, organizations can build a robust log pipeline that optimizes performance, scalability, and cost, while providing valuable insights into system operations.

An introduction to log pipelines, their importance, and best practices for designing them for optimal performance.

News & Blogs

Odigos at KubeCon + CloudNativeCon 2023

eBPF-Based Auto-Instrumentation vs. Manual Instrumentation

Designing Effective Log Pipelines