AWS observability

Understand how applications, services, and infrastructure interact across every layer of your AWS architecture to troubleshoot issues faster and maintain reliable cloud operations.

Overview

ManageEngine OpManager Nexus delivers full-stack observability across every layer of your AWS cloud environment, including infrastructure, networking, data services, and applications. Correlate metrics, logs, traces, and events to gain actionable insights, detect anomalies, and troubleshoot faster. Use guidance reports for best-practice recommendations, automate operational responses, and connect performance telemetry with cloud cost management to optimize resource usage and operational efficiency.

See also

Deep observability across AWS cloud environments

Observe AWS systems from infrastructure to applications with unified telemetry, enabling teams to understand system behavior across distributed cloud environments.

  • Track performance across compute, data, networking, and application layers, including EC2, Lambda, containers, databases, load balancers, and edge services.
  • Understand how distributed services, APIs, containers, and serverless workloads interact by tracing end-to-end application requests and analyzing latency across microservices.
  • Correlate telemetry across infrastructure, services, and applications to uncover dependencies and maintain visibility as AWS environments scale.
Align cloud costs with performance insights

Faster troubleshooting and automated remediation

Identify the source of incidents faster by correlating events across services, infrastructure, and application layers in your AWS environment while automating responses to recurring operational issues.

  • Analyze logs, metrics, traces, and events together to visualize request flows across distributed applications and identify latency bottlenecks across APIs, services, and backend resources.
  • Automate remediation workflows to respond to alerts, such as restarting EC2 instances, stopping idle RDS resources, or triggering Lambda workflows.
  • Orchestrate automated incident resolution using Qntrl-powered workflows with event-driven triggers and multi-step conditional remediation to resolve issues faster and reduce MTTR.
Faster troubleshooting and automated remediation

Operational intelligence for AWS performance optimization

Use analytics and guidance reports to understand workload trends, plan capacity, and optimize resource utilization across AWS environments.

  • Detect metric anomalies and forecast performance trends to anticipate resource constraints and workload growth.
  • Analyze historical usage patterns to plan compute, storage, and database capacity more effectively.
  • Use Guidance Reports to analyze configurations and resource usage across AWS services and receive recommendations to improve performance and reliability.
  • Optimize resource allocation based on performance trends and workload demands across your AWS infrastructure.
Operational intelligence for AWS performance optimization

Align cloud costs with performance insights

Track, optimize, and manage AWS cloud costs by correlating cost insights with infrastructure and application performance data for more informed operational decisions.

  • Understand how resource utilization and performance patterns influence cloud costs.
  • Identify inefficient resource allocation, overprovisioned instances, and unused services.
  • Gain actionable cost insights to optimize workloads without impacting performance.
  • Align operational decisions with both performance requirements and cost efficiency.
Deep observability across AWS cloud environments

Frequently asked questions

What is AWS observability?

AWS observability is the practice of understanding system behavior across your AWS environment by analyzing telemetry data such as metrics, logs, traces, and events. It helps teams monitor infrastructure, services, and applications while gaining insights into performance, dependencies, and system health across distributed cloud architectures.

What is the difference between AWS monitoring and AWS observability?

AWS monitoring focuses on tracking predefined metrics and alerts for infrastructure and services. Observability goes further by correlating metrics, logs, traces, and events to understand how systems behave. This allows teams to troubleshoot complex issues faster and analyze dependencies across distributed applications.

How does ManageEngine OpManager Nexus provide AWS observability?

ManageEngine OpManager Nexus provides full-stack AWS observability by correlating metrics, logs, traces, and events across infrastructure, services, and applications. This helps teams understand system behavior, detect anomalies, troubleshoot incidents faster, and maintain visibility across distributed AWS environments.

How does observability help troubleshoot AWS applications faster?

Observability enables teams to correlate telemetry data across infrastructure, services, and applications. By analyzing logs, metrics, traces, and events together, teams can visualize request flows, identify latency bottlenecks, detect service dependencies, and quickly determine the root cause of incidents.

Why is distributed tracing important for AWS applications?

Distributed tracing helps track how requests move across microservices, APIs, and backend services. This allows teams to visualize request flows, identify latency bottlenecks, and detect performance issues across complex AWS architectures.

How does observability support capacity planning in AWS?

Observability platforms analyze historical performance and usage trends across AWS services. This helps teams forecast workload growth, plan infrastructure capacity, and allocate compute, storage, and database resources more effectively as cloud environments scale.

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