Tradeshow: Observability Summit 2026

Observability Summit brings together developers, operators, and business leaders who are shaping the future of open source observability. From deep-dives to hands-on workshops, every moment is curated by the community, for the community! This event will be focused on real challenges, practical solutions, and innovations driving the next era of visibility and control. This is a must attend event to help you build, scale and succeed.

Event Topics Include:

• AI and MCP Observability
• Community-Driven Development in Observability
• End-User Case Studies
• Scalability Challenges and Solutions
• The Future of Open Source Observability

Chronosphere is the only observability solution that gives you complete control over cost and complexity, empowering teams to focus on outcomes that drive the business forward. Observability Platform: An end-to-end solution that helps teams focus on the most valuable data, reduce spend, boost developer efficiency, and remediate faster. Telemetry Pipeline: From the creators of Fluent Bit, Chronosphere simplifies the collection, transformation, and routing of telemetry data from any source to any destination. Gain full visibility and governance over your data, and ensure you only pay for what matters.

Join Chronosphere’s industry experts and open source maintainers at Observability Summit 2026 for a series of deep-dive technical sessions:

The Work Before the Magic: Autoremediation Readiness

Speaker: Alok Bhide, Director, Product Management

Date and Time:  Thursday, May 21 | 9:25 am – 9:30 am CDT

Session details:

The pitch for autoremediation is hard to resist: AI doesn’t just surface issues faster — it fixes them on the spot, leaving you to kick back, validate, and observe. MTTR doesn’t just shrink; it becomes a relic. Problems vanish before anyone even notices they existed.

But rush into it without solid data, proper curation, and clear policy, and you’re pulling a tap with too much pressure — nothing but foam, no beer.

Closed-loop remediation isn’t a shortcut. It’s the payoff at the end of a disciplined, AI-driven observability practice.

In this talk, we’ll walk through the three things that make autoremediation actually work:

1. System coverage that holds up at real scale
2. Data that’s clean, navigable, and actionable
3. Ground rules for what AI is — and isn’t — allowed to do

You’ll walk away with a practical readiness checklist and a clear framework for deciding where autoremediation belongs in your stack, and where it definitely doesn’t.

No hype. Just the work that earns AI the right to act in production.

Inside the Telemetry Data Plane: Constraints, Tradeoffs, and Scale 

Speakers: Eduardo Silva, Distinguished Engineer Software & José Lecaros, Staff Technical Support Engineer

Date and Time: Friday, May 22 | 3:40 pm – 4:05 pm

Session details:

Modern telemetry systems often struggle not because of missing features, but because of hidden constraints in how data is buffered, scheduled, and moved through the system. This session explores the practical realities of building a telemetry data plane that must operate under extreme throughput, tight latency budgets, and strict resource limits.

Using real-world experience from developing a high-performance open source telemetry agent, we’ll examine how design tradeoffs around buffering, concurrency, and I/O shape system behavior at scale. Topics include user-space serialization strategies, adaptive buffering models, memory-mapped persistence, and multithreaded I/O coordination, along with how these choices interact with core Linux primitives such as epoll, asynchronous I/O, and zero-copy techniques.

Rather than focusing on APIs or products, this talk dives into the mechanics and constraints that determine whether a telemetry system remains predictable under load. The discussion is grounded in production lessons learned from operating at billions of events per minute and highlights patterns that apply broadly to collectors, agents, and streaming systems.