As cloud environments grow increasingly complex, monitoring their performance becomes essential for maintaining service reliability and optimizing resource usage. Amazon Web Services (AWS) offers a wide range of scalable services, but without real-time visibility, organizations risk service degradation, unexpected costs, or system outages.
ManageEngine Applications Manager simplifies AWS performance monitoring by offering in-depth visibility into the behavior, health, and usage of your AWS cloud infrastructure. From compute and storage to networking, container, and serverless services, you can proactively identify issues, improve response times, and ensure optimal performance of your cloud workloads.
Applications Manager’s AWS monitoring tool collects key performance indicators (KPIs) across various AWS services. It enables you to:
Supported metrics include CPU usage, memory reservation, disk I/O, network throughput, database query latency, container resource stats, and more—tailored to each AWS service.
Efficient resource utilization is a key objective in any cloud environment. Applications Manager helps you stay on top of this by tracking the performance and usage of critical compute services. For Amazon EC2 instances, you can monitor CPU, memory, disk I/O, and network statistics to identify whether your resources are over- or underutilized.
When it comes to containerized environments like Amazon ECS and EKS, Applications Manager offers detailed insights into container-level resource usage, including available and reserved CPU, memory, and disk capacity. Even for serverless platforms like AWS Lambda, you can track key metrics such as invocations, execution duration, error counts, and throttling. These insights not only help ensure consistent performance but also support cost optimization by avoiding unnecessary resource over-provisioning.
Disk I/O and storage performance play a crucial role in determining the efficiency of your cloud infrastructure. In services like Amazon EC2 and EBS, disk operations can significantly impact overall application performance. Applications Manager helps you track essential disk metrics such as IOPS, throughput, and the number of read/write operations per second to ensure that disk activity stays within optimal thresholds. For EBS volumes, you can also monitor latency, burst balance, and queue length, helping you detect and address underperforming volumes or bottlenecks in storage access.
Additionally, network-related metrics like bytes in/out and packet errors are monitored to provide a holistic view of your compute and storage layer performance, enabling proactive resource management and consistent service delivery.
Monitoring network performance is critical to maintaining the responsiveness and reliability of your AWS-based applications. Applications Manager offers in-depth visibility into key network metrics such as network throughput, bandwidth utilization, and traffic patterns. By analyzing these metrics, you can identify packet loss, latency spikes, or unusual surges in traffic that may point to underlying issues or misconfigurations. In environments using Network Load Balancers (NLB), additional insights into TLS and TCP connections, active flows, and processed bytes are available to help pinpoint congestion or performance degradation. With timely alerts and real-time analytics, you can address potential network bottlenecks before they affect application performance or user experience.
As your application usage grows, so does the load on your servers. Amazon Elastic Load Balancer (ELB) helps distribute this incoming traffic evenly across multiple targets—like EC2 instances—ensuring no single resource gets overwhelmed. With Applications Manager’s AWS performance monitoring solution, you can keep a close watch on key ELB metrics including the number of requests, active connections, healthy host counts, and error rates. These insights help you identify traffic spikes, monitor server health, and ensure that your application infrastructure scales efficiently. By analyzing ELB metrics, you can prevent downtime, maintain optimal performance, and deliver a smooth user experience, even during high-traffic scenarios.
Applications Manager offers deep visibility into containerized workloads running on Amazon ECS (Elastic Container Service) and Amazon EKS (Elastic Kubernetes Service). For ECS, you can monitor cluster-level metrics such as CPU and memory reservation and utilization, container instance resource availability, disk I/O, and network traffic. You can also track service health, the number of running and pending tasks, and detailed event logs to troubleshoot deployment issues faster. For EKS, monitor the underlying compute infrastructure, resource usage trends, and Kubernetes object health to ensure optimal orchestration and scaling of your workloads. These insights help prevent resource contention and improve container scheduling efficiency.
Applications Manager provides monitoring capabilities for Amazon EFS (Elastic File System) and Amazon FSx File Cache to help you manage shared file storage in your AWS environment. With EFS, monitor throughput, IOPS, burst credits, and latency metrics to ensure seamless access to shared data across instances. For FSx File Cache, track cache hit/miss rates, storage capacity, and read/write throughput to optimize high-speed data access for workloads that rely on frequently accessed data. These metrics enable performance tuning and capacity planning for scalable file systems.
Monitoring Amazon S3 is crucial for understanding the behavior and performance of your object storage. Applications Manager helps you track metrics like the total number of requests, bytes uploaded and downloaded, request latency, and error rates (e.g., 4xx or 5xx status codes). This enables you to ensure that your S3 buckets are accessible, performant, and reliable. By visualizing storage trends and anomalies, you can optimize how your applications interact with S3, reduce access delays, and enhance data delivery speeds across regions.
Amazon SQS (Simple Queue Service) and SNS (Simple Notification Service) are critical for decoupled microservices and event-driven architectures. Applications Manager provides comprehensive monitoring for both. For SQS, you can observe metrics such as message queue length, messages sent/received/deleted, and the age of the oldest message, which help ensure timely message processing. With SNS, track notification deliveries, subscription confirmations, and failed deliveries to ensure your alerts and messages are reaching the right targets. These insights help you avoid message loss or processing delays in your distributed applications.
Applications Manager now supports monitoring of AWS Secrets Manager, which is used to securely store and retrieve sensitive information like database credentials, API keys, and tokens. You can track operations such as retrievals, rotations, and failed access attempts to ensure the integrity and accessibility of your secrets. Monitoring this service helps improve your security posture by alerting you to unusual access patterns or errors that may affect application functionality.
Security is a top priority in the cloud, and monitoring AWS Key Management Service (KMS) helps ensure that your encryption keys are properly used and managed. Applications Manager lets you track usage metrics like successful decryptions, encryptions, and failed attempts. These metrics provide visibility into how often and how securely your services and applications access encrypted data, helping you stay compliant with security policies and identify potential misuse or misconfigurations early.
Amazon RDS plays a critical role in supporting applications that rely on relational databases, and ensuring its optimal performance is essential for application reliability. With Applications Manager, you can monitor essential RDS metrics such as deadlocks, query throughput, transaction count, read/write latency, and database connections. These insights help you identify performance bottlenecks, such as slow or long-running queries, and take corrective action before they impact users. By keeping a close watch on database health and utilization trends, you can proactively scale resources, fine-tune queries, and maintain high availability and responsiveness for your database-driven services.
Latency plays a critical role in the performance of cloud-based applications, especially those that require high input/output operations per second (IOPS). When response times slow down, it can often be traced back to issues like volume congestion or inefficient block usage. By keeping a close eye on latency metrics, you can spot these issues early and take corrective actions before they impact your end users.
Applications Manager’s AWS performance monitoring tool gives you real-time insights into response times across various services, helping you identify which operations are delayed and where the bottlenecks lie. This visibility not only shortens troubleshooting time but also enables you to fine-tune performance and ensure that your applications remain fast, reliable, and responsive—even under heavy load.
Applications Manager now supports monitoring for a broad range of AWS services, including:
Applications Manager is as an effective application performance monitoring tool that supports a wide range of other cloud and on-premise applications. You can download a 30-day free trial and start monitoring in a few minutes!
It allows us to track crucial metrics such as response times, resource utilization, error rates, and transaction performance. The real-time monitoring alerts promptly notify us of any issues or anomalies, enabling us to take immediate action.
Reviewer Role: Research and Development
Tech Support Manager, Lexmark