Best Application Performance Monitoring (APM) Software for Google Kubernetes Engine (GKE)

Find and compare the best Application Performance Monitoring (APM) software for Google Kubernetes Engine (GKE) in 2025

Use the comparison tool below to compare the top Application Performance Monitoring (APM) software for Google Kubernetes Engine (GKE) on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    New Relic Reviews
    Top Pick
    See Software
    Learn More
    New Relic offers an enterprise-grade Application Performance Monitoring solution relied upon by millions of engineers globally. Designed for large-scale environments, our platform provides real-time insights and trend analysis to optimize software performance, ensuring resilience and exceptional user experiences. Equip your enterprise engineering team with New Relic’s comprehensive platform to foster innovation and efficiency in today’s high-demand software landscape.
  • 2
    groundcover Reviews

    groundcover

    groundcover

    $20/month/node
    32 Ratings
    See Software
    Learn More
    groundcover is a full stack cloud-native APM platform designed to make observability effortless so that you can focus on building world-class products. By leveraging our proprietary eBPF sensor, groundcover unlocks unprecedented granularity on all your applications, eliminating the need for costly code changes and development cycles to ensure monitoring continuity. Our unique sensor collects data directly from the Linux kernel with near-zero impact on CPU and memory. The groundcover platform consolidates all your traces, metrics, and logs into a single platform, allowing you to conduct full scale investigations to pinpoint the source of the issue and reach lightning fast MTTR. groundcover offers unparalleled granular visibility into your environments and dramatically reduces your overall troublesho
  • 3
    Datadog Reviews
    Top Pick

    Datadog

    Datadog

    $15.00/host/month
    7 Ratings
    Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.
  • 4
    Aqua Reviews

    Aqua

    Aqua Security

    Comprehensive security throughout the entire lifecycle of containerized and serverless applications, spanning from the CI/CD pipeline to operational environments, is essential. Aqua can be deployed either on-premises or in the cloud, scaling to meet various needs. The goal is to proactively prevent security incidents and effectively address them when they occur. The Aqua Security Team Nautilus is dedicated to identifying emerging threats and attacks that focus on the cloud-native ecosystem. By investigating new cloud security challenges, we aim to develop innovative strategies and tools that empower organizations to thwart cloud-native attacks. Aqua safeguards applications from the development phase all the way to production, covering VMs, containers, and serverless workloads throughout the technology stack. With the integration of security automation, software can be released and updated at the rapid pace demanded by DevOps practices. Early detection of vulnerabilities and malware allows for swift remediation, ensuring that only secure artifacts advance through the CI/CD pipeline. Furthermore, protecting cloud-native applications involves reducing their potential attack surfaces and identifying vulnerabilities, embedded secrets, and other security concerns during the development process, ultimately fostering a more secure software deployment environment.
  • Previous
  • You're on page 1
  • Next