Eltropy Kept Observability Costs Steady Despite 100x More Data

Eltropy Kept Observability Costs Steady Despite 100x More Data

Eltropy Kept Observability Costs Steady Despite 100x More Data

5 Takeaways from OTEL Day in Seattle

5 Takeaways from OTEL Day in Seattle

A Glimpse into the Evolution of Observability

A Glimpse into the Evolution of Observability

By

Pankaj Thakkar

By

Ashish Hanwadikar

Published on

Jul 2, 2024

The OpenTelemetry (OTEL) community gathered last week in Seattle for a day of insightful discussions and shared enthusiasm about the future of observability. As we reflect on the event, several key themes stand out, underscoring the evolving landscape of open-source observability tools.

1. Unified Vision and Community Collaboration

From its roots in distributed tracing, OTEL has expanded significantly to encompass metrics, logs, profiling, and more. However, there remains a call for greater collaboration and contributions across different programming languages to achieve a truly vendor-neutral instrumentation standard that is both robust and easy to adopt.

2. Supportive Community Dynamics

Throughout the day, hallway conversations with members from tech giants like Apple, Amazon, and Alibaba highlighted the supportive nature of the OTEL community. Leaders such as Alolita Sharma exemplified mentorship, guiding newcomers on effective ways to contribute amidst their other professional commitments. This support is crucial as engineers balance their roles within their organizations while contributing meaningfully to the CNCF ecosystem.

3. Observability as a Top Priority

In a session focused on observability challenges, it became evident that the demand for robust observability solutions transcends industries. Participants discussed strategies to manage the increasing volume and complexity of data, reflecting a growing awareness of observability's critical role in modern software development and operations.

4. Expansion and Innovation

The OTEL Community Day itself has grown substantially each year, indicative of its increasing relevance and impact. Talks at the event spotlighted advancements in auto-instrumentation, including GraalVM's compile-time instrumentation and native instrumentation for .NET. Specific attention was also given to challenges unique to mobile app observability, with presentations from Embrace and American Express. Exciting developments were showcased in emerging areas like Generative AI observability, signaling a growing interest within the OTEL community to adapt observability practices to emerging technologies.

5. OTEL Collector and the Path Forward

A significant focus was placed on the OTEL Collector, a critical component bridging gaps between the open source and vendor-specific SDKs. Discussions highlighted its evolving role, particularly in performance profiling and enhancements through features like the OpenTelemetry Transformation Language. The roadmap towards version 1.0 underscores the community's commitment to closing existing gaps and advancing towards a stable, production-ready solution.

Conclusion: Embracing the Future of Observability

In conclusion, the OTEL Community Day in Seattle showcased a vibrant community. OTEL continues to expand its capabilities and bridge the gaps in maturity compared to vendor-specific SDKs. As we look ahead, the journey towards a unified, vendor-neutral instrumentation remains promising, thanks to the dedication and collective effort of the OTEL community.

Kloudfuse: Pioneering OTel Implementation

At Kloudfuse, OTel is at the forefront of our vision. As the OTEL community gains greater momentum each year, it underscores Kloudfuse’s commitment on OTEL. Our capabilities in implementing metrics, logs, and traces across a wide range of platforms, systems and languages — Java, Golang, Python, Javascript, Node.JS, C/C++, .NET, and more — has helped us successfully migrate many organizations away from outdated systems to open-standard alternatives. We look forward to more learning and collaboration with the community and the transformation of observability tools in the future.

Observe. Analyze. Automate

Observe. Analyze. Automate

Observe. Analyze. Automate