Gartner Magic Quadrant 2026

Gartner Magic Quadrant 2026

Modern observability platforms promise insight, but often at the cost of control, runaway spend, or vendor lock-in. In the 2026 Gartner® Magic Quadrant™ for Observability Platforms, we believe Gartner evaluates the state of the market and discusses emerging architectural shifts that challenge the status quo. If you’re operating large-scale Kubernetes, cloud-native, or regulated environments, in our opinion we believe this research helps you understand which approaches are built for today’s operational realities, and which are not. 

groundcover is named by Gartner as an Honorable Mention in this report. With a Bring Your Own Cloud
(BYOC) Observability architecture, groundcover provides full-stack visibility into applications, infrastructure, Kubernetes workloads, and AI services using a single eBPF sensor. 

Download the full Gartner report and we believe you will see how observability platforms are evolving, what tradeoffs Gartner discusses across architectures, and why control over telemetry data is becoming a critical differentiator for engineering-led organizations.

As observability becomes foundational to digital operations, its total cost of ownership is emerging as a board-level concern. We feel the 2026 Gartner® Magic Quadrant™ for Observability Platforms discusses how rising data volumes, consumption-based pricing, and architectural complexity are driving unexpected long-term costs across modern observability stacks. We feel this research gives executives a clear view into where value is created and where hidden costs accumulate.

Gartner named groundcover as an Honorable Mention. By keeping all telemetry data inside the customer’s cloud environment, groundcover eliminates data egress fees, reduces vendor lock-in, and delivers predictable, infrastructure-aligned observability economics. The result is lower long-term spend, stronger control over data, and fewer tradeoffs between visibility, security, and cost.

Download the full report and we believe you will understand how Gartner evaluates observability platforms, the financial implications of different architectural approaches, and why organizations are rethinking observability as a strategic investment and not a runaway operating expense.

Gartner, Magic Quadrant for Observability Platforms, 13 July 2026, Et Al.

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

Gartner and Magic Quadrant are a trademark of Gartner, Inc., and/or its affiliates.

Trusted by teams who demand more

Real teams, real workloads, real results with groundcover.

“We cut our costs in half and now have full coverage in prod, dev, and testing environments where we previously had to limit it due to cost concerns.”

Sushant Gulati

Sr Engineering Mgr, BigBasket

“Observability used to be scattered and unreliable. With groundcover, we finally have one consolidated, no-touch solution we can rely on.“

ShemTov Fisher

DevOps team lead
Solidus Labs

“We went from limited visibility to a full-cluster view in no time. groundcover’s eBPF tracing gave us deep Kubernetes insights with zero months spent on instrumentation.”

Kristian Lee

Global DevOps Lead, Tracr

“The POC took only a day and suddenly we had trace-level insight. groundcover was the snappiest, easiest observability platform we’ve touched.”

Adam Ceresia

Software Engineering Mgr, Posh

“All vendors charge on data ingest, some even on users, which doesn’t fit a growing company. One of the first things that we liked about groundcover is the fact that pricing is based on nodes, not data volumes, not number of users. That seemed like a perfect fit for our rapid growth”

Elihai Blomberg,

DevOps Team Lead, Riskified

“We got a bill from Datadog that was more then double the cost of the entire EC2 instance”

Said Sinai Rijcov,

DevOps Engineer at EX.CO.

“We ditched Datadog’s integration overhead and embraced groundcover’s eBPF approach. Now we get full-stack Kubernetes visibility, auto-enriched logs, and reliable alerts across clusters with zero code changes.”

Eli Yaacov

Prod Eng Team Lead, Similarweb

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