
Gremlin and Dynatrace announced a strategic integration designed to streamline reliability testing for Kubernetes environments.
This collaboration makes it safe and simple to perform Fault Injection tests, empowering organizations to enhance their reliability programs and maintain their Kubernetes applications in a desired state.
"With this new integration, Gremlin and Dynatrace are simplifying how organizations introduce fault injection into their Kubernetes environments," said Samuel Rossoff, CTO of Gremlin. "Many teams have faced challenges operationalizing reliability testing across complex cloud-native architectures, often requiring multiple manual steps to identify and target the right resources. By combining advanced AI observability and topology insights with Gremlin's fault injection and reliability capabilities, customers can more easily identify, test, optimize, and strengthen critical services at scale."
Starting today, Kubernetes services are automatically discovered within Gremlin, powered by Dynatrace's AI-driven observability and topology mapping. Health checks are then applied to Kubernetes' objects, allowing organizations to efficiently implement standardized reliability testing and gain deeper insights into their environments.
"Kubernetes is the foundation of modern cloud-native infrastructure, supporting a wide spectrum of organizations, from nimble startups to global enterprises," said Wayne Segar,Global Field CTO at Dynatrace. "As AI-driven innovation accelerates, the reliability of Kubernetes becomes mission-critical. Our partnership with Gremlin simplifies chaos engineering, helping teams ensure resilience and performance across complex, distributed systems."
By making Fault Injection testing faster, simpler, and safer, this partnership between Gremlin and Dynatrace underscores their shared mission: helping engineering teams build more resilient systems, reduce risk, and deliver exceptional reliability at scale.
The Latest
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 6 covers OpenTelemetry ...
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 5 covers APM and infrastructure monitoring ...
AI continues to be the top story across the industry, but a big test is coming up as retailers make the final preparations before the holiday season starts. Will new AI powered features help load up Santa's sleigh this year? Or are early adopters in for unpleasant surprises in the form of unexpected high costs, poor performance, or even service outages? ...
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers user experience, digital performance, website performance and ITSM ...
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers more predictions about Observability ...
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers predictions about Observability and AIOps ...
The Holiday Season means it is time for APMdigest's annual list of predictions, covering Observability and other IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, AIOps, APM and related technologies will evolve and impact business in 2026 ...
IT organizations are preparing for 2026 with increased expectations around modernization, cloud maturity, and data readiness. At the same time, many teams continue to operate with limited staffing and are trying to maintain complex environments with small internal groups. These conditions are creating a distinct set of priorities for the year ahead. The DataStrike 2026 Data Infrastructure Survey Report, based on responses from nearly 280 IT leaders across industries, points to five trends that are shaping data infrastructure planning for 2026 ...
Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...
Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...
