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.
The Latest
Cyber threats are growing more sophisticated every day, and at their forefront are zero-day vulnerabilities. These elusive security gaps are exploited before a fix becomes available, making them among the most dangerous threats in today's digital landscape ... This guide will explore what these vulnerabilities are, how they work, why they pose such a significant threat, and how modern organizations can stay protected ...
The prevention of data center outages continues to be a strategic priority for data center owners and operators. Infrastructure equipment has improved, but the complexity of modern architectures and evolving external threats presents new risks that operators must actively manage, according to the Data Center Outage Analysis 2025 from Uptime Institute ...
As observability engineers, we navigate a sea of telemetry daily. We instrument our applications, configure collectors, and build dashboards, all in pursuit of understanding our complex distributed systems. Yet, amidst this flood of data, a critical question often remains unspoken, or at best, answered by gut feeling: "Is our telemetry actually good?" ... We're inviting you to participate in shaping a foundational element for better observability: the Instrumentation Score ...
We're inching ever closer toward a long-held goal: technology infrastructure that is so automated that it can protect itself. But as IT leaders aggressively employ automation across our enterprises, we need to continuously reassess what AI is ready to manage autonomously and what can not yet be trusted to algorithms ...
Much like a traditional factory turns raw materials into finished products, the AI factory turns vast datasets into actionable business outcomes through advanced models, inferences, and automation. From the earliest data inputs to the final token output, this process must be reliable, repeatable, and scalable. That requires industrializing the way AI is developed, deployed, and managed ...
Almost half (48%) of employees admit they resent their jobs but stay anyway, according to research from Ivanti ... This has obvious consequences across the business, but we're overlooking the massive impact of resenteeism and presenteeism on IT. For IT professionals tasked with managing the backbone of modern business operations, these numbers spell big trouble ...
For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...
FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...
Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...
While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...