Full-stack Amazon EKS monitoring and observability

AIOps-powered full-stack performance monitoring and automated root-cause diagnostics for Amazon EKS application workloads, services and infrastructure.

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Amazon Elastic Kubernetes Service (Amazon EKS) provides a managed Kubernetes environment to run containerized applications at scale. While it simplifies Kubernetes operations, ensuring the performance, availability, and health of your EKS clusters and the applications run upon them, remains your responsibility. eG Enterprise helps address these challenges by offering comprehensive, full-stack unified monitoring for Amazon EKS and the underlying infrastructure.

Automated AIOps-powered observability for Amazon EKS infrastructure and applications

eG Enterprise delivers a complete full-stack end-to-end observability solution for Amazon EKS environments and applications. AIOps (Artificial Intelligence for IT Operations) technologies automate deployment, monitoring, root cause diagnostics and remediation, even in complex dynamic auto-scaling deployments.

Designed not just for application developers but for platform and infrastructure engineers, SREs, frontline Help Desk, database teams – delivering cross-tier insights for the whole organization.

Automated root-cause analytics diagnose and pinpoint issues to ensure EKS issues are routed directly to the correct team. Simple to use APM deep-diagnostics ensure code-level visibility into containerized applications.

From a central console get observability across your AWS EKS clusters, nodes, and pod deployments, plus comprehensive full-stack Cloud, Kubernetes, Infrastructure, Application, and Service monitoring.

  • Understand resource usage and capacity needs to futureproof container provisioning
  • Obtain code-level visibility of applications running inside the containers
  • Get correlated insight to identify root cause of performance bottlenecks
  • Automate monitoring in your auto-scaling Kubernetes environment

Without having to install any agent/probe on the Kubernetes nodes, eG Enterprise leverages native APIs to agentlessly monitor the entire Kube cluster.

Key Challenges in Amazon EKS Monitoring

Cluster Health Limited Visibility into Cluster Health: Native tools often focus on Kubernetes-specific metrics but lack deep insights into the infrastructure, applications, and services running on EKS
Bottlenecks Performance Bottlenecks: Diagnosing issues across Kubernetes nodes, pods, containers, and the underlying AWS services (EC2, EBS, etc.) can be time-consuming and complex
Nature of Kubernetes Dynamic and Ephemeral Nature of Kubernetes: Containers frequently spin up or terminate, making it hard to track resource usage and performance over time
Dependency Analysis Cross-Dependency Analysis: EKS interacts with several AWS services, and identifying inter-service dependencies can be difficult without a unified view
Learning Curv High Learning Curve: Native tooling requires AWS and Kubernetes knowledge and lacks automated root-cause diagnostics. It can be challenging to find staff skilled to troubleshoot

Key Capabilities of eG Enterprise for Amazon EKS

eG Enterprise provides end-to-end visibility into Amazon EKS clusters, applications, and infrastructure to ensure smooth performance and faster troubleshooting.

  • Auto-Discovery and Real-Time Monitoring: Automatically discover Kubernetes clusters, nodes, pods, containers, and associated workloads. Monitor the health, resource usage, and performance of all EKS components in real time.
  • Unified Visibility: View metrics, logs and traces for EKS, associated AWS services (e.g., EC2, RDS, EBS), and application layers in a single console. Analyze cross-layer dependencies for faster root cause analysis. Out-of-the-box rich visualizations including dashboards, geo and topology maps.
  • Proactive Alerting and Anomaly Detection: Alert thresholds configured ready-to-go plus dynamic auto-baselining – no need to manually configure alerts. Get proactive alerts for potential issues with nodes, pods, container restarts, and resource exhaustion. Leverage AIOps-based anomaly detection and automated root-cause diagnostics.
  • Proactive Alerting and Anomaly Detection: Alert thresholds configured ready-to-go plus dynamic auto-baselining – no
eG Enterprise for Amazon EK
  • need to manually configure alerts. Get proactive alerts for potential issues with nodes, pods, container restarts, and resource exhaustion. Leverage AIOps-based anomaly detection and automated root-cause diagnostics.
  • Resource Optimization and Capacity Planning: Identify over- or under-utilized resources at the node, pod, or container level. Optimize infrastructure costs by right-sizing your Kubernetes environments.
  • End-to-End Application Performance Management: Monitor business-critical applications running on EKS, including Java, .NET, PHP, Node.js and microservices-based architectures. Trace transactions end-to-end to identify application bottlenecks across Kubernetes and AWS services.
  • Compliance and Reporting: A wealth of out-of-the box reports plus a GUI custom report builder (no query languages needed) provide detailed performance reports for audits, SLAs, and capacity planning. Full audit trails plus configuration and change tracking.

Track resource provisioning, availability and usage to support container creation

  • For each pod in a namespace, track pod readiness and schedule, and CPU and memory allocation and utilization.
  • Understand resource usage patterns and determine how much additional workload can be deployed per node.
  • For each DaemonSet in a namespace, monitor DaemonSet availability on nodes, missed scheduled, details of pods, and nodes running the DaemonSet.
  • Monitor application services associated to each namespace and track their status, service type age, and which pods are connected to each service.
  • Get alerted to failed jobs, failed pods, and longest running jobs.

User-Defined Transaction Profiling & Application Code-Level Visibility

  • Visually map the entire Java, PHP, Node.js and .NET application run-time architecture and inter-dependencies across all tiers.
  • Monitor availability, response time and errors for each transaction, hop-by-hop, across multi-tiered application servers.
  • In a single click, drill down to identify application code-level issue, slow database queries and remote web service calls.
  • eG Enterprise uses a tag-and-follow approach to distributed transaction tracing and automatically traces user access from web browsers or native mobile applications to the application servers, and pinpoints the server-side component responsible for slow business transactions.
Application Code-Level Visibility

Digital and user experience observability for Amazon EKS combined with business analytics ensure you understand the impact of configurations

  • Deep insights to enable you to make data-driven decisions that optimize and protect the user’s experience of your apps and services.
  • Real User Monitoring (RUM) provides deep insights into devices, geographies, and more, helping you assess issues, understand impact, and prioritize user experience problems effectively.
  • Synthetic monitoring allows you to continuously test your apps and services and proactively discover issues before real users are impacted.
  • A wealth of out-of-the-box dashboards and reports designed for different stakeholders allow you to rapidly overview the user experience and business impacts.
  • Rich APIs for seamless integration with other tools and out-of-the-box integrations with systems such as PowerBI and ITSM tools allow you to manage and understand issues.

Flexible deployment and licensing options for Amazon EKS observability

  • eG Enterprise is available as a fully managed turnkey SaaS service in multiple regions to suit GDPR and similar compliance regulations.
  • For those in regulated industries with compliance needs eG Enterprise can be deployed on-premises or in a cloud and location of your choice.
  • Supports on-prem, hybrid-cloud and multi-cloud deployments.
  • Built and certified to the AWS Well-Architected Framework.
  • Multi-tenant configurations designed for MSPs (Managed Service Providers). eG Enterprise offers MSP licensing and an MSP partner program.
  • Perpetual and subscription licensing are available.
  • Cost-effective APM – no per app or per URL costs, and no licensing by CPU cores, sockets or memory.



Start your free trial or schedule a custom demo with an engineer

  • Works on cloud environments, hybrid cloud setups and on-premises deployments
  • Deploy eG Enterprise using our SaaS platform or on-premises
  • Suitable for monitoring cloud applications, digital workspaces and IT infrastructures
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