Enhancing Enterprise Observability with AWS-Native Centralized Log Aggregation and Monitoring
Short Description
A global pharmaceutical enterprise partnered with UsefulBI to implement an AWS-native centralized logging and monitoring framework. Built on an event-driven serverless architecture, the solution enabled end-to-end traceability, near real-time visibility, and significantly reduced troubleshooting and audit preparation time across distributed cloud workloads.
Customer Problem
he customer’s AWS ecosystem generated logs across multiple servers, containers, APIs, and cloud services. However, logs were stored in isolated systems, creating operational silos.
This fragmented approach resulted in:
- Difficulty aggregating logs across distributed workloads
- Limited ability to correlate events across pipeline stages
- Lack of near real-time monitoring and visibility
- Time-consuming troubleshooting processes
- Significant manual effort during audit preparation
The organization required a centralized, scalable logging framework to improve observability, accelerate issue resolution, and strengthen compliance readiness.
Solution
UsefulBI designed and deployed an AWS-native, event-driven centralized logging and monitoring architecture to consolidate logs across all cloud components.
Core Architectural Components:
- Amazon API Gateway as the unified entry point for user requests
- Event-driven log emission from applications and pipeline components
- Amazon SNS for event publication and distribution
- AWS Lambda for processing and log transformation
- Amazon CloudWatch Log Groups for centralized log storage
- Unique transaction identifiers for end-to-end traceability
How It Works:
- Application and pipeline components emit structured log events
- Events are published to Amazon SNS
- SNS triggers Lambda functions for processing
- Logs are written into centralized CloudWatch Log Groups
- Transaction IDs enable traceability from API initiation to pipeline completion
Errors and failures were captured within the same logging framework, creating a single source of truth for monitoring and troubleshooting.
This event-driven serverless architecture delivered scalable log aggregation with minimal operational overhead.
Benefits / Results
The centralized logging framework delivered measurable operational improvements:
- Reduced log management and analysis effort from 10 hours per week to 2 hours per week
- Lowered error resolution rate from approximately 10% to 1%
- Enabled near real-time operational visibility
- Improved end-to-end traceability across pipelines
- Reduced audit preparation time from 2 weeks to 1 week
- Strengthened compliance readiness and monitoring accuracy
The solution significantly enhanced observability while reducing operational burden for cloud and platform teams.
