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Ship features without fearing your Lambda backend
Target Insight Function is an AWS consulting engagement that focuses on one or two concrete systems built around AWS Lambda and Amazon Bedrock. Together with your engineers, we simplify the flows, remove fragile links between components, and leave you with code and infrastructure that the team is no longer afraid to change and deploy.
Systems that have grown more complicated than anyone intended
A Lambda-based backend that accumulates special cases, where nobody wants to touch the code before a release.
An AI-powered feature wired into Amazon Bedrock that is difficult to reason about when something goes wrong.
Hidden cross-dependencies between serverless components, background processing, and data stores creating recurring issues.
Deployment freezes. Fear of changes. Systems nobody wants to touch before a release.
This engagement is about selecting those systems and bringing them back into a state where they are understandable and safe to evolve.
Teams that already rely on AWS with real users and deadlines
We focus on 1-2 specific systems that actually block your progress—not your entire AWS estate. This engagement is for teams with real users, real deadlines, and Lambda or Bedrock systems that have grown more complicated than anyone intended.
Focus on the systems that actually block your progress
Pull requests with simplified hot paths and clearer stages
Updated CDK/CloudFormation definitions
Operation notes for the new system shape
Work done together with your engineers
We focus on specific problem systems, not everything
Engagement ends with handoff, not dependency
Billed separately by AWS at standard rates
A clear path from current state to maintainable systems
Agree on scope, target systems, repositories, access, and constraints. Keep it small and specific: one or two systems that actually block the roadmap.
Follow real traffic through the system. Capture latencies, error shapes, and failure boundaries so we are optimising for what really happens in production.
Make small, reviewable PRs. Use feature flags when needed. Design clear roll-forward and roll-back plans so changes do not add new risk.
Walk through the changes with your team. Confirm ownership, validate the new shape of the system, and finalise notes and runbooks stored alongside the code.
All work is done together with your engineers, using your existing repositories and tools.
Concrete output, not abstract advice
Merged or merge-ready pull requests with the improved design already in your repositories.
Handler refactors and smaller, clearer functions
Event model clarifications and better payload shapes
Retry, timeout, and backoff fixes
Observability hooks (logs, metrics, tracing) that actually match how you debug
Updated infrastructure definitions where needed, ready for deployment.
IaC updates for queues, topics, and state machines
IAM boundaries and permissions tightened around real use
Concurrency and scaling controls for Lambda
Dead-letter queues and failure handling wired to how your team works
Concise technical notes explaining what changed and how to operate the new system shape.
Runbooks for common failure modes and incident paths
SLO signals and key metrics to watch
Alert actions and who owns what
Clear roll-back and roll-forward steps
A tightly scoped AWS consulting engagement that takes one or two specific Lambda- and Bedrock-based systems and turns them from "do not touch" areas into straightforward, maintainable parts of your platform.
Concrete output instead of abstract advice: pull requests, infrastructure updates, and short technical notes that explain what changed and how to work with it, so your team can keep moving without needing us on every decision.
Best suited for environments where serverless components, background processing, data stores, and AI calls have grown together over time and now create hidden dependencies, deployment friction, and recurring issues.
AWS services commonly used in Lambda and Bedrock architectures
Serverless compute for your backend functions
AI/ML integration and inference
Managed relational databases
Real-time data streaming
Message queuing service
Any AWS resources created or modified in your account during the engagement are billed directly to you by AWS at standard service rates, separate from the professional services fee paid through AWS Marketplace.
Together with your engineers, in your environment
We work in your existing repos and CI/CD, in small PRs. Your engineers stay in the loop and keep control over what is merged and when.
The goal is to reduce disruption, not add it. Your engineers stay in control of reviews and merges, but we aim to reduce their load, not increase it.
At the end of the engagement, your team has everything needed to maintain and evolve the improved systems independently. No ongoing dependency—just confident ownership.
We are not trying to replace your internal teams. We focus on unblocking the specific systems that eat their time, and we leave everything documented so they can operate and extend the new design without us.
At the end of the engagement, your team has everything needed to maintain and evolve the improved systems independently. Code changes are in your repositories, infrastructure updates are ready to deploy, and operation notes explain the new shape of the system. No ongoing dependency—just confident ownership.
AWS Marketplace billing and AWS resource costs
Professional services are purchased via AWS Marketplace under the Target Insight Function listing.
Any AWS service usage in your account, including resources created or changed during the engagement, is billed directly by AWS under standard pricing.
Direct access to the engineers who do the work
You work with the same senior engineers who design and implement the changes. For scope, implementation details, and follow-up you can reach us via email at support@worktif.com and via our support portal at https://worktif.com. We provide business-hours coverage Monday to Friday and reply to AWS Marketplace-originated requests within two business days with clear, technical answers.
Portal
https://worktif.comHours
Monday–Friday, business hours
Response Time
within two business days
Talk to an engineer about your specific systems
No commitment required — let's discuss your specific systems