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
The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...
AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...
In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...
Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...
Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...
As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...
I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...
Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...
For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...
Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...