Zerverless helps AWS teams design, understand, and improve serverless systems through focused products, practical guidance, free templates, open-source tools, and consulting — while your code, data, and runtime stay under your control.
Choose the engagement that matches the decision in front of your team. Each one ends with concrete artifacts, clear priorities, and an engineering handoff.
Turn requirements and constraints into a buildable serverless plan.
Work through workloads, data boundaries, event flows, failure modes, security, observability, and deployment strategy. Leave with a reference architecture your team can explain and start building.
Move in reviewable waves without turning the migration into the product.
Map the current system, choose seams that reduce risk, and define a staged path toward event-driven and managed AWS services. Each wave has a rollback strategy and a measurable outcome.
Find the issues worth fixing before traffic or complexity grows.
Review the workload against AWS Well-Architected guidance and the realities of event-driven operations. Findings are ranked by impact and paired with evidence and a concrete next action.
Bring the workload, the constraints, and the outcome you need. We can scope focused consulting around the architecture, integration, delivery, and handoff.
What changed across Zerverless.
Capture the reasoning behind an AWS architecture proposal alongside its service choices and CDK starting point.
Each prioritized finding can now point reviewers back to the configuration, metric, log, or trace that supports it.
A new public guide shows how to turn account discovery output into a reviewable map of serverless resources and relationships.
Each product takes on one distinct serverless decision. Start a design with Xero, map the resources and dependencies already in your AWS account with Air, or use Hero to turn production evidence into a prioritized improvement plan.
Private betaDescribe the workload, constraints, and outcome you need. Xero proposes an architecture, explains why each AWS service is there, and creates a migration plan and code skeleton your team can review before deployment.
Private betaPoint Hero at an existing serverless workload. It combines architecture context with cost, configuration, performance, logs, and traces so your team can work from a prioritized improvement plan instead of disconnected dashboards.
PreviewConnect an AWS account with a read-only role. Air discovers the serverless resources already running there and maps how functions, APIs, queues, event buses, workflows, and data stores connect — without changing them.
Learn what serverless computing means, how it works on AWS, what the cloud provider manages, and which trade-offs still belong to your team.
Understand how AWS Lambda runs code, how functions are invoked, where permissions and state live, and when Lambda is a good compute choice.
Learn how managed compute, APIs, events, queues, workflows, data, identity, and observability fit together in a serverless architecture on AWS.
A practical guide to identity, least privilege, event validation, secrets, data protection, dependencies, and incident visibility in AWS serverless systems.
One project helps you build; the other helps you understand. Both stay intentionally narrow.
Compose secure serverless patterns in TypeScript.
The Zerverless Development Kit packages repeatable AWS CDK L3 constructs for functions, events, and production-ready defaults. Use the pattern, then keep full access to the underlying CDK resources.
View on GitHub
Explain an AWS account from the terminal.
Open Zerverless discovers serverless resources and relationships, then turns them into a reviewable summary. It is a local, standalone path for understanding an account before changing it.
View on GitHub
Build AWS serverless systems from a clearer starting point. Use practical patterns and code your team can inspect, adapt, deploy, and operate from its own repository.
A production-minded starting point for HTTP APIs that need more than a route and a Lambda function. These templates establish authentication, request validation, predictable error responses, least-privilege execution roles, data-access boundaries, structured logging, and the operational signals needed to understand a request once it reaches AWS. Start with the API shape closest to the job, then replace the example domain with your own contracts, policies, and data model.
Browse practical AWS serverless notes by topic, or search for the decision you are working through.
A lightweight way to capture ownership, events, data, and access choices before they become costly assumptions.
How to turn a useful generative or agentic workflow into an AWS system with constrained tools, evidence, evaluation, and human control.
The questions that expose ownership, replay, cutover, and rollback risks before a migration becomes production work.
A practical approach to duplicate delivery, stable idempotency keys, and safe retries in AWS workloads.
The small set of operational signals that reveal whether asynchronous work is flowing, failing, or silently waiting.
Focused tools for designing a system, understanding what runs today, and deciding what to improve next.
Practical guides, reusable templates, and field notes that help your team make AWS serverless decisions with more context.
Open-source foundations and focused consulting when the work needs a tailored architecture, integration, or production plan.
Powerful enough for AWS, simple enough to love.
