We trace real execution paths, identify risk in hot paths, and deliver tangible output—not slideware.
We trace real traffic through your systems to understand actual behavior.
We look for patterns that cause recurring issues and deployment friction.
We focus on the smallest set of changes that unlock stability and speed.
The result is not slideware—it's implemented changes in your codebase.
We focus on real-world AWS serverless and AI workloads
Serverless compute for your backend functions
AI/ML integration and inference
Managed relational databases
Real-time data streaming
Message queuing service
Any AWS usage from resources created or adjusted during the engagement is billed directly to your AWS account under standard pricing.
We target systems where focused changes unlock outsized improvements
Recurring incidents or noisy alerts that affect real users and business outcomes.
Tangled flows and cross-team dependencies that slow down deployments.
AI integrations that are difficult to monitor or recover from when they behave unexpectedly.
A team has a core backend built on AWS Lambda and API Gateway that has accumulated years of hotfixes and special cases. Deployments require freeze periods, and on-call engineers avoid touching certain handlers. We trace the hot paths, remove unnecessary branching, isolate risky steps, and leave the service in a state where new features can be shipped without fear.
A product team added an AI assistant using Amazon Bedrock. It works most of the time, but failures are hard to detect, and error handling is inconsistent. We make the integration observable, clarify error paths, and ensure that AI behaviour can be reasoned about, tested, and rolled back when needed.
An internal workflow is triggered by events, pushes messages through EC2 and Kinesis, and updates multiple databases. Failures are intermittent and hard to reproduce. We map the full pipeline, reduce hidden cross-dependencies, clarify which service owns which step, and improve how failures and retries are handled.
| Item | Description | Proof of Completion |
|---|---|---|
| Code Changes | Refactors, guards, clearer event models, safer retries and timeouts. | Merged or merge-ready PRs with tests, comments, and change notes. |
| Infrastructure Updates | IaC for queues, topics, state machines, IAM scopes, concurrency, and dead-letter policies. | Reviewed plans and applied changes in your pipelines and accounts. |
| Operations Notes | Failure modes, SLO signals, alert actions, and roll-back steps. | Short docs stored with the code and walked through in the hand-over session. |
Explore how we work with your team, see answers to common questions, or get in touch to discuss your specific systems.