Dynatrace Named a Leader and an Outperformer for the Second Consecutive Year in the 2026 GigaOm Radar for Kubernetes Observability

Key Terms

kubernetes technical

Kubernetes is an open-source system that automates running and managing many pieces of software across groups of computers, like a conductor coordinating musicians so each piece plays at the right time and place. For investors, it matters because companies that use it can deploy updates faster, scale services up or down automatically, and cut infrastructure costs — factors that influence growth, reliability and operating margins.

observability technical

Observability is a company’s ability to see and understand what its software systems are doing by collecting and analyzing signals like logs, metrics and traces. For investors it matters because strong observability reduces the risk of downtime, hidden bugs or security issues, supports faster fixes and efficient scaling, and therefore can protect revenue, lower costs and signal disciplined operations — like having clear gauges and alarms on a complex machine.

multi-cloud technical

Multi-cloud is the practice of using services from two or more cloud computing providers instead of relying on just one. For investors, this matters because it can lower operational risk and increase flexibility—similar to renting units from different landlords to avoid being stranded if one has problems—and it can affect a company’s costs, growth potential, and resilience, which in turn influence revenue stability and valuation.

root cause analysis technical

Root cause analysis is a systematic way to find the underlying reason a problem happened, not just its visible symptoms, so that effective fixes can prevent it from recurring. For investors, it matters because clear identification and correction of root causes reduces the chance of repeated losses, regulatory penalties, or reputational damage—think of it as finding the cracked pipe behind a flood instead of only mopping up the water.

predictive analytics technical

Predictive analytics uses historical data and patterns to estimate future outcomes, like sales, customer behavior, or operational problems. For investors it matters because it turns past signals into probable forecasts—similar to a weather forecast or traffic app—helping assess potential risks, spot opportunities, and prioritize where to allocate capital, while remembering that predictions carry uncertainty and are not guarantees.

log anomaly detection technical

Log anomaly detection is an automated process that scans computer-generated records (logs) to spot unusual patterns or unexpected events that may indicate bugs, security breaches, or system failures. For investors, it matters because early detection of these issues can prevent costly downtime, protect customer trust and avoid regulatory trouble—think of it like a surveillance system that alerts when something in a normally steady flow suddenly looks wrong.

user experience monitoring technical

User experience monitoring is the continuous tracking of how customers interact with a company’s digital products—websites, apps or online services—to detect slow pages, errors, failed transactions and confusing flows from a real user’s point of view. Investors care because these measurements act like a store’s secret shopper report: persistent problems reduce sales, raise customer churn and increase support costs, while smooth experiences support revenue growth, retention and brand value.

topology technical

The arrangement or pattern of how components are connected or organized, such as systems, networks, supply chains, or data flows. Investors care because the way parts are linked affects reliability, risk and resilience—like how a neighborhood’s roads determine traffic flow, a company’s topology determines how quickly information travels, where failures may concentrate and how disruptions can ripple through value chains.

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Company positioned closest to the center of the Radar, underscoring its ability to deliver AI‑driven, full‑stack Kubernetes observability and automated operations at enterprise scale

BOSTON--(BUSINESS WIRE)-- Dynatrace (NYSE: DT), the leading AI-powered observability platform, today announced it has been named a Leader and an Outperformer and positioned closest to the center of the 2026 GigaOm Radar for Kubernetes Observability.

As Kubernetes adoption accelerates and generative AI workloads scale in production, organizations face growing complexity across multi-cloud, hybrid, and edge architectures. Dynatrace’s leadership in the GigaOm Radar recognizes Dynatrace as one of the most complete platforms in the market, underscoring its ability to help teams understand complex Kubernetes environments with advanced automation and AI‑driven insights.

“Kubernetes has become the foundation of modern enterprise infrastructure, and the organizations running it at scale need observability that is intelligent, automated, and deeply integrated into their engineering workflows,” said Steve Tack, Chief Product Officer at Dynatrace. “This recognition reflects the trust customers place in Dynatrace to give them the insights they need to build and run their most critical cloud‑native system. By unifying observability and security with agentic AI, we are enabling teams to prevent issues, accelerate innovation, and continuously optimize their environments.”

GigaOm evaluated 20 of the top Kubernetes observability solutions, assessing vendors across key features, emerging capabilities, and business criteria that reflect real-world enterprise requirements. Dynatrace received the top score for Key Features, including automated root cause analysis, predictive analytics, log anomaly detection, and user experience monitoring.

According to GigaOm’s Chris Nelson, the author of the report, “Kubernetes observability has evolved from a supporting monitoring function into a strategic capability that directly impacts business resilience, innovation velocity, and financial performance. Dynatrace Intelligence is the industry standard for deterministic root cause analysis, providing precise answers rather than simple correlations. By mapping the entire topology of a Kubernetes environment, Dynatrace Intelligence can pinpoint the exact service or infrastructure component for an issue, eliminating the need for manual war rooms.”

A complimentary copy of the 2026 GigaOm Radar Report for Kubernetes Observability is available here.

About Dynatrace
Dynatrace is advancing observability for today’s digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. To learn more about how Dynatrace can help your business, visit www.dynatrace.com, visit our blog and follow us on LinkedIn and X @dynatrace.

Curious to see how you can simplify your cloud and maximize the impact of your digital teams? Let us show you. Sign up for a 15-day Dynatrace trial.

Dynatrace and the Dynatrace logo are trademarks of the Dynatrace, Inc. group of companies. All other trademarks are the property of their respective owners. © 2026 Dynatrace LLC.

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Source: Dynatrace