Full-stack Microsoft
Azure Kubernetes (AKS) monitoring and observability

AIOps-powered full-stack performance monitoring and automated root-cause diagnostics for Azure Kubernetes Service (AKS) application workloads, services and infrastructure.

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

Automated AIOps-powered observability for
AKS infrastructure and applications

eG Enterprise delivers a complete full-stack end-to-end observability and monitoring solution for Azure Kubernetes environments and applications, including for AKS. 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 – eG Enterprise delivers cross-tier insights for the whole organization.

Automated root-cause analytics diagnose and pinpoint issues to ensure AKS issues are routed directly to the correct team. Simple-to-use APM deep-diagnostics ensure code-level visibility into containerized applications without the need for code-level changes.

From a central console get observability across your AKS 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 the root causes of performance bottlenecks
Automate monitoring and compliance 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 Azure Kubernetes Service (AKS) monitoring

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 AKS

Performance Bottlenecks: Diagnosing issues across Kubernetes nodes, pods, containers, and the underlying Azure services (Blob Storage, Load Balance, Database and so on) can be time-consuming and complex

Dynamic and Ephemeral Nature of Kubernetes: Containers frequently spin up or terminate, making it hard to track resource usage and performance over time

Cross-Dependency Analysis: AKS interacts with several Azure services, and identifying inter-service dependencies can be difficult without a unified view

High Learning Curve: Native tooling requires Azure 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 AKS monitoring

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eG Enterprise provides end-to-end visibility into AKS 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 AKS components in real time
Unified Visibility: View metrics, logs and traces for AKS, associated Azure services (e.g., Azure Virtual Machines (VMs), Azure Databases, Azure Managed Disks), 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
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 AKS, including Java, .NET, PHP, Node.js and microservices-based architectures. Trace distributed transactions end-to-end to identify application bottlenecks across Kubernetes and Azure 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 on AKS

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 for Azure Kubernetes Service

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.

Digital and user experience observability for AKS 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 Azure AKS observability

eG Enterprise is available as a fully managed turnkey SaaS service in multiple regions to suit GDPR, DORA 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, certified and audited to recognized frameworks and standards including ISO/IEC 27001:2022 and SOC 2 Type 2

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

Full-stack Microsoft Azure Kubernetes (AKS) monitoring and observability

Automated AIOps-powered observability for AKS infrastructure and applications