End-to-end AWS coverage
Observe workloads across EC2, ECS, EKS, Lambda, RDS, S3, and networking layers with a unified operational view.
Complete AWS Monitoring for Cloud-Native Applications
Monitor your entire AWS infrastructure with deep visibility into EC2, Lambda, RDS, ECS, and more. Track performance metrics, identify bottlenecks, and optimize costs across your AWS environment with real-time dashboards and intelligent alerting.
OpenTelemetry nativeSaaS, on-prem, hybrid or BYOCNo per-user pricing
Challenges
Full-Stack Observability for AWS Workloads
Container workload visibility
Track task, pod, and node behavior across ECS and EKS clusters without losing application context.
Serverless execution clarity
Maintain visibility into Lambda executions where compute is ephemeral and infrastructure is abstracted.
Distributed request tracing
Follow requests across load balancers, microservices, background jobs, and data stores.
Application-aware infrastructure
Interpret CPU, memory, and network usage in relation to real application workload and traffic.
Correlated telemetry timelines
Analyze logs, metrics, and traces together through a shared execution timeline.
Scale-ready observability
Maintain consistent visibility as traffic increases and resources autoscale.
Shared operational context
Enable platform, SRE, and backend teams to operate from the same production view.
Unified AWS Observability
- Bring metrics, logs, traces, and events into a single unified platform so teams can investigate issues without jumping between multiple AWS tools
- Monitor performance across EC2, EKS, Lambda, RDS, storage, and networking services in one consistent, real-time view
- Automatically correlate infrastructure health with application behavior to surface root causes faster
- Visualize service dependencies and request flows to understand how failures cascade across AWS components
- Reduce alert fatigue with intelligent anomaly detection and context-aware notifications
Seamless Onboarding
- Set up AWS monitoring in minutes using guided workflows, CloudFormation templates, or secure API connections with minimal engineering effort
- Automatically discover and monitor new AWS resources as soon as they are created without manual configuration
- Collect telemetry without code changes or complex setup, reducing developer and operational overhead
- Securely connect multiple AWS accounts with proper access controls and centralized governance
- Standardize onboarding across teams and environments for faster, consistent rollout
Deep Resource Visibility
- Gain detailed insights into compute, containers, and serverless workloads at the individual resource level
- Track CPU, memory, disk, network, and health metrics continuously to detect performance risks early
- Identify underutilized and overloaded resources to improve system reliability and optimize cloud costs
- Understand service dependencies and performance impact across distributed systems and workflows
- Link infrastructure behavior directly to application performance and overall user experience
Effortless Setup & Scalability
- Automatically scale monitoring as traffic, services, and environments grow without requiring constant configuration changes
- Process increasing volumes of metrics and logs while maintaining performance, reliability, and real-time visibility
- Monitor multi-region and multi-account AWS environments from a single centralized dashboard for easier operations
- Maintain consistent visibility across development, staging, and production environments to avoid blind spots
- Easily extend monitoring as new AWS services and workloads are introduced without added complexity
Why Atatus
Why teams choose Atatus for AWS?
AWS teams choose Atatus to stay in control of complex, fast-scaling environments without losing production clarity.
01
Fits AWS service sprawl
Atatus handles visibility across EC2, containers, serverless, and managed services cohesively.
02
Built for scale events
System behavior remains understandable during autoscaling, deployments, and traffic spikes.
03
Trustworthy production signals
Engineers rely on consistent runtime data instead of conflicting dashboards.
04
Faster incident alignment
Teams spend less time reconstructing events and more time fixing issues.
05
Minimal operational overhead
Observability does not add complexity or ongoing maintenance burden.
06
Supports multi-team ownership
Shared context reduces handoffs between platform, SRE, and application teams.
Teams
Unified Observability for Every Engineering Team
Atatus adapts to how engineering teams work across development, operations, and reliability.
Developers
Debug errors and slow paths with the full context of what happened.
Atatus for developersDevOps
Track deployments and see how each release affects stability.
Atatus for DevOpsRelease engineers
Watch latency and error rates to ship with less production risk.
Atatus for release engineersCustomers
Powering better performance for modern teams
"Solid Product even better support." The integration path is incredibly simple/easy and the overall interface is very intuitive. That said, I had a handful of odd use cases that the support team was incredibly responsive in helping me work through.
FAQ
Questions Engineers Ask Before Buying
Pricing, deployment, data and the agent. If something is missing, a person will answer it on a demo call.
Atatus provides comprehensive monitoring for all major AWS services including:
- EC2 instances - CPU, memory, disk, network metrics
- Lambda functions - invocations, duration, errors, cold starts
- RDS databases - query performance, connections, replication lag
- ECS/EKS containers - pod health, resource utilization, scaling events
- S3 buckets - request latency, error rates, storage metrics
- API Gateway - request counts, latency, 4xx/5xx errors
- CloudFront distributions - cache hit rates, origin latency
- DynamoDB tables - read/write capacity, throttling, latency
Atatus integrates with AWS through multiple methods: CloudWatch metrics collection via IAM roles, direct agent installation on EC2 instances, Lambda layers for serverless monitoring, and OpenTelemetry collectors for container environments.
Setup takes minutes with our CloudFormation templates or Terraform modules. Once connected, Atatus automatically discovers and monitors new AWS resources as you provision them.
Yes! Atatus provides cost optimization insights by tracking resource utilization patterns. Identify over-provisioned EC2 instances, unused EBS volumes, idle RDS databases, and inefficient Lambda configurations.
Most AWS customers reduce cloud spend by 20-40% after optimizing based on Atatus recommendations. Track cost per transaction and correlate infrastructure spending with business value.
Atatus automatically tracks Lambda cold starts separately from warm invocations. See cold start frequency, duration, and which functions are affected most. Get alerts when cold start rates impact user experience.
Optimize memory allocation, use provisioned concurrency for critical functions, and track the impact of code changes on cold start performance.
Yes, Atatus provides unified visibility across all AWS regions. See performance metrics, compare regional latency, and track failover events in a single dashboard.
Correlate regional issues with user experience data. Identify if problems are region-specific or affect your entire AWS infrastructure. Monitor cross-region replication and data synchronization.
Yes, Atatus provides deep Kubernetes monitoring for EKS clusters. Monitor pod health, node utilization, deployment rollouts, and application performance within containers.
Auto-discover services and track inter-service communication. Correlate application traces with infrastructure metrics for complete visibility into containerized workloads.
Start free and send your first trace with OpenTelemetry or the Atatus agents. APM, logs, RUM, infrastructure and SIEM, all on one timeline.
- SaaS
- On-premises
- Hybrid
- BYOC
- No per-user pricing