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Mezmo Introduces Transparent Straightforward Pricing

Mezmo announced a simple, more predictable pricing structure for its intelligent telemetry orchestration platform. 

The new structure includes one component for processing and analyzing data and another for data retention: $0.20 per gigabyte ingested and $0.20 per gigabyte retained per month, respectively. That’s down from $1.80 per gig retained, delivering nearly 90% in savings. The company’s simple, transparent approach to pricing gives companies the freedom to scale without high, unpredictable costs.

The move is a response to a compounding industry problem: Infrastructure and applications have created an explosion in data from cloud, microservices and AI, causing observability costs to skyrocket. Most vendors charge premium prices — calculated in complex formulas — to process and analyze telemetry data, even as global data volumes are projected to more than double by 2028. As a result, companies are forced to keep everything, driving up observability costs with bloated, unpredictable bills.

Mezmo took a different approach, restructuring and modernizing its backend to compress infrastructure costs while continuously enhancing its pipeline processing and data orchestration capabilities to enable greater efficiency and pass those savings directly to customers. The company saw more than a 90% reduction in infrastructure and resources and a 70% reduction in operational applications. The result? Mezmo completely transformed its approach to pricing, significantly reducing customer costs and simplifying the structure to correlate cost with value.

“We tackled the rising costs of observability head-on by taking a holistic look at how organizations process, analyze and store telemetry data,” said Tucker Callaway, CEO of Mezmo. “The result is a more sustainable, scalable and valuable model for observability data.”

Key benefits of Mezmo’s 2025 pricing:

  • Simple, transparent pricing for contract customers. $0.20 per gigabyte ingested, and $0.20 per gigabyte retained monthly. No confusing formulas based on CPU, data type, user count or queries.
  • Built-in cost control. Teams can decide what data to ingest, preprocess it locally with Mezmo Edge, or send it directly to Mezmo to intelligently filter and route, retaining only what matters, wherever they need it.
  • Cold storage with rehydration. Rehydration lets users archive data to reduce spend and restore it to Mezmo when needed for analysis or debugging, balancing cost with access.

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Mezmo Introduces Transparent Straightforward Pricing

Mezmo announced a simple, more predictable pricing structure for its intelligent telemetry orchestration platform. 

The new structure includes one component for processing and analyzing data and another for data retention: $0.20 per gigabyte ingested and $0.20 per gigabyte retained per month, respectively. That’s down from $1.80 per gig retained, delivering nearly 90% in savings. The company’s simple, transparent approach to pricing gives companies the freedom to scale without high, unpredictable costs.

The move is a response to a compounding industry problem: Infrastructure and applications have created an explosion in data from cloud, microservices and AI, causing observability costs to skyrocket. Most vendors charge premium prices — calculated in complex formulas — to process and analyze telemetry data, even as global data volumes are projected to more than double by 2028. As a result, companies are forced to keep everything, driving up observability costs with bloated, unpredictable bills.

Mezmo took a different approach, restructuring and modernizing its backend to compress infrastructure costs while continuously enhancing its pipeline processing and data orchestration capabilities to enable greater efficiency and pass those savings directly to customers. The company saw more than a 90% reduction in infrastructure and resources and a 70% reduction in operational applications. The result? Mezmo completely transformed its approach to pricing, significantly reducing customer costs and simplifying the structure to correlate cost with value.

“We tackled the rising costs of observability head-on by taking a holistic look at how organizations process, analyze and store telemetry data,” said Tucker Callaway, CEO of Mezmo. “The result is a more sustainable, scalable and valuable model for observability data.”

Key benefits of Mezmo’s 2025 pricing:

  • Simple, transparent pricing for contract customers. $0.20 per gigabyte ingested, and $0.20 per gigabyte retained monthly. No confusing formulas based on CPU, data type, user count or queries.
  • Built-in cost control. Teams can decide what data to ingest, preprocess it locally with Mezmo Edge, or send it directly to Mezmo to intelligently filter and route, retaining only what matters, wherever they need it.
  • Cold storage with rehydration. Rehydration lets users archive data to reduce spend and restore it to Mezmo when needed for analysis or debugging, balancing cost with access.

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Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...

In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ... 

Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...

2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...

Data has never been more central to a greater portion of enterprise operations than it is today. From software development to marketing strategy, data has become an essential component for success. But as data use cases multiply, so too does the diversity of the data itself. This shift is pushing organizations toward increasingly complex data infrastructure ...

Enterprises are not stalling because they doubt AI, but because they cannot yet govern, validate, or safely scale autonomous systems, according to The Pulse of Agentic AI 2026, a new report from Dynatrace ...

For most of the cloud era, site reliability engineers (SREs) were measured by their ability to protect availability, maintain performance, and reduce the operational risk of change. Cost management was someone else's responsibility, typically finance, procurement, or a dedicated FinOps team. That separation of duties made sense when infrastructure was relatively static and cloud bills grew in predictable ways. But modern cloud-native systems don't behave that way ...