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Edge Delta Makes All Telemetry Pipelines Data Throughput Limitless and Free

Edge Delta announced that its flagship Telemetry Pipelines product is now free to use at any scale, with no per-GB licensing cost. 

Effective immediately, any organization can deploy Edge Delta Telemetry Pipelines as-needed, paying only for the data they store within the Edge Delta observability platform. This landmark decision removes financial and technical barriers to entry, giving teams across the globe the freedom and control to route, transform, and control their telemetry data with far fewer constraints.

Edge Delta's decision to widely offer Telemetry Pipelines is a deliberate, forward-looking strategy - one rooted in an all-in approach to the AI Era. The company's newest product, AI Teammates, is its perspective on the future of Observability in the AI Era, validated by rapidly growing market demand. Since its introduction, these agents are fundamentally changing how engineering teams detect, investigate, and resolve issues in their systems. AI Teammates surface alerts but also act as an autonomous team to reduce noise, reason through complex events, and collaborate to take intelligent action in real time.

With AI Teammates driving a new chapter of growth, Edge Delta is seizing the opportunity to make the onboarding journey for new and existing customers as seamless as possible. Telemetry Pipelines not only optimize logs, metrics, traces, and events, but also serve as the natural on-ramp - a powerful, production-grade data routing layer that now does not charge you to use your own data. Customers benefit from unified pipeline management with a new easy and effortless connector onboarding, and can step directly into the future of agentic observability when they're ready.

"The telemetry pipeline market is crowded, manual, and largely unintelligent. Cribl, OpenTelemetry, Bindplane, Databahn, Fluent, and Vector require significant engineering effort to deploy and maintain, yet at the end of the day still deliver little more than moving data. Today, Edge Delta Telemetry Pipelines is now free at any scale. No throughput limits. No per-GB fees. Any organization can route, transform, and control unlimited telemetry volume at no cost. This is a deliberate strategic decision, not a promotional one. The demand signal around Edge Delta AI Teammates has been clear: enterprises are ready for observability that thinks and acts, not just collects and displays. Making pipelines free removes the last barrier to experiencing that firsthand. Operations teams have watched AI transform developer workflows for years now. Edge Delta AI Teammates bring that same capability to the people running production infrastructure. The path is now frictionless." - Ozan Unlu, Founder & CEO, Edge Delta

The new pricing model is simple: All data throughput even at the petabyte levels with Telemetry Pipelines is free. Offered to all new customers, this new model bills primarily on two components: the volume of data stored within the Edge Delta observability platform, and the AI tokens consumed - supported with a transparent and flexible credits-based system. There are no seat fees, no throughput tiers, and no hidden charges tied to pipeline usage. Whether a company is processing one gigabyte a day or multiple petabytes, data processed  through the pipeline layer costs nothing.

AI Teammates operate as follows: the multi-agent team is always on, always reasoning, and always working. The moment an anomaly or signal appears anywhere in a customer's production environment, AI Teammates are already investigating - no alert acknowledgement, no manual query, no button clicking. The investigation starts itself. Correlating logs, metrics, and traces across the full stack, forming hypotheses, ruling out false positives, and surfacing root causes with the speed and depth that no human on-call rotation can match at 3am.

What makes this possible is that Telemetry Pipelines sit upstream continuously filtering noise, enriching context, and elevating signal quality before data ever reaches the index. When AI Teammates engage, they're already working from a clean, high-fidelity telemetry picture - not the raw, noisy firehose which most observability platforms force their AI to reason on top of.  AI Teammates also work together across everything from a log that came from upstream to a recent event from GitHub to accessing a custom MCP server. That breadth of visibility, combined with historical baselines, understanding of statistical deviations, agentic context and memories, and the depth of an agentic team reasoning and collaborating, is what allows them to act with a level of confidence and accuracy that transforms how engineering teams operate.

The impact is faster mean time to resolution, significantly lower noise ratios resulting in fewer escalations, dramatically reduced on-call burden, and engineering teams that spend their hours building rather than firefighting. And because investigations begin the moment a signal surfaces, not the moment someone notices it, the gap between an incident starting and a team responding shrinks to near zero. Edge Delta is built to scale with your ambitions as you run and scale high velocity production environments. For organizations ready to move beyond manual queries, dashboards and alerts and into a world where their observability platform thinks, reasons, and acts on their behalf, Edge Delta AI Teammates are ready for production.

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Edge Delta Makes All Telemetry Pipelines Data Throughput Limitless and Free

Edge Delta announced that its flagship Telemetry Pipelines product is now free to use at any scale, with no per-GB licensing cost. 

Effective immediately, any organization can deploy Edge Delta Telemetry Pipelines as-needed, paying only for the data they store within the Edge Delta observability platform. This landmark decision removes financial and technical barriers to entry, giving teams across the globe the freedom and control to route, transform, and control their telemetry data with far fewer constraints.

Edge Delta's decision to widely offer Telemetry Pipelines is a deliberate, forward-looking strategy - one rooted in an all-in approach to the AI Era. The company's newest product, AI Teammates, is its perspective on the future of Observability in the AI Era, validated by rapidly growing market demand. Since its introduction, these agents are fundamentally changing how engineering teams detect, investigate, and resolve issues in their systems. AI Teammates surface alerts but also act as an autonomous team to reduce noise, reason through complex events, and collaborate to take intelligent action in real time.

With AI Teammates driving a new chapter of growth, Edge Delta is seizing the opportunity to make the onboarding journey for new and existing customers as seamless as possible. Telemetry Pipelines not only optimize logs, metrics, traces, and events, but also serve as the natural on-ramp - a powerful, production-grade data routing layer that now does not charge you to use your own data. Customers benefit from unified pipeline management with a new easy and effortless connector onboarding, and can step directly into the future of agentic observability when they're ready.

"The telemetry pipeline market is crowded, manual, and largely unintelligent. Cribl, OpenTelemetry, Bindplane, Databahn, Fluent, and Vector require significant engineering effort to deploy and maintain, yet at the end of the day still deliver little more than moving data. Today, Edge Delta Telemetry Pipelines is now free at any scale. No throughput limits. No per-GB fees. Any organization can route, transform, and control unlimited telemetry volume at no cost. This is a deliberate strategic decision, not a promotional one. The demand signal around Edge Delta AI Teammates has been clear: enterprises are ready for observability that thinks and acts, not just collects and displays. Making pipelines free removes the last barrier to experiencing that firsthand. Operations teams have watched AI transform developer workflows for years now. Edge Delta AI Teammates bring that same capability to the people running production infrastructure. The path is now frictionless." - Ozan Unlu, Founder & CEO, Edge Delta

The new pricing model is simple: All data throughput even at the petabyte levels with Telemetry Pipelines is free. Offered to all new customers, this new model bills primarily on two components: the volume of data stored within the Edge Delta observability platform, and the AI tokens consumed - supported with a transparent and flexible credits-based system. There are no seat fees, no throughput tiers, and no hidden charges tied to pipeline usage. Whether a company is processing one gigabyte a day or multiple petabytes, data processed  through the pipeline layer costs nothing.

AI Teammates operate as follows: the multi-agent team is always on, always reasoning, and always working. The moment an anomaly or signal appears anywhere in a customer's production environment, AI Teammates are already investigating - no alert acknowledgement, no manual query, no button clicking. The investigation starts itself. Correlating logs, metrics, and traces across the full stack, forming hypotheses, ruling out false positives, and surfacing root causes with the speed and depth that no human on-call rotation can match at 3am.

What makes this possible is that Telemetry Pipelines sit upstream continuously filtering noise, enriching context, and elevating signal quality before data ever reaches the index. When AI Teammates engage, they're already working from a clean, high-fidelity telemetry picture - not the raw, noisy firehose which most observability platforms force their AI to reason on top of.  AI Teammates also work together across everything from a log that came from upstream to a recent event from GitHub to accessing a custom MCP server. That breadth of visibility, combined with historical baselines, understanding of statistical deviations, agentic context and memories, and the depth of an agentic team reasoning and collaborating, is what allows them to act with a level of confidence and accuracy that transforms how engineering teams operate.

The impact is faster mean time to resolution, significantly lower noise ratios resulting in fewer escalations, dramatically reduced on-call burden, and engineering teams that spend their hours building rather than firefighting. And because investigations begin the moment a signal surfaces, not the moment someone notices it, the gap between an incident starting and a team responding shrinks to near zero. Edge Delta is built to scale with your ambitions as you run and scale high velocity production environments. For organizations ready to move beyond manual queries, dashboards and alerts and into a world where their observability platform thinks, reasons, and acts on their behalf, Edge Delta AI Teammates are ready for production.

The Latest

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...