Stop managing servers, start shipping features
We build serverless backends that scale automatically and eliminate infrastructure management, so you pay only for what you actually use.
Overview
Serverless architecture lets you stop thinking about server provisioning and capacity planning entirely, and start thinking purely in terms of events and the functions that respond to them. Instead of maintaining always-running infrastructure sized for peak load and idling expensively the rest of the time, serverless functions scale automatically with actual demand and genuinely cost nothing when there's no traffic to serve.
This isn't a universal fit for every workload, and we're honest about that from the first conversation, long-running processes and consistently high, steady traffic often genuinely suit traditional hosting better. Where serverless does fit well, variable-traffic APIs, event-driven background processing, scheduled jobs, we build event-driven function architecture designed around your actual event sources, with deliberate attention to cold start mitigation for latency-sensitive functions specifically.
We can migrate existing workloads to serverless incrementally, moving the specific pieces that genuinely benefit while leaving others on infrastructure better suited to their actual characteristics, rather than forcing a disruptive, all-or-nothing migration. The goal is genuinely reduced infrastructure management and cost efficiency where serverless actually fits, not an architectural pattern adopted because it sounds modern regardless of whether it serves your specific workload well.
What we build
Auto-scaling backend infrastructure that removes server management from your team's plate entirely.
Serverless Function Architecture
Serverless's real architectural advantage comes from thinking in events rather than always-on servers: a function that runs specifically in response to an HTTP request, a file upload, a database change, or a scheduled trigger, and then genuinely scales to zero when nothing is happening rather than idling and costing money while unused. We design serverless function architecture around your actual event sources, whether that's API requests, background job triggers, or reactive workflows responding to changes elsewhere in your system, structuring functions to be appropriately scoped rather than either too granular, creating excessive coordination overhead, or too broad, losing the genuine benefits of serverless's event-driven model.
Performance Optimization
Cold starts, the brief delay when a serverless function spins up after being idle, are a genuine, well-known limitation, and pretending they don't matter produces a poor experience for latency-sensitive functions. We address this deliberately rather than ignoring it, using strategies like provisioned concurrency for functions where response time genuinely matters, such as user-facing API endpoints, while accepting occasional cold starts for background functions where a few hundred milliseconds of delay genuinely doesn't affect anything. This honest, function-by-function approach to cold start mitigation is what keeps serverless genuinely performant where it needs to be, without over-engineering unnecessary complexity into functions where cold starts were never actually a real problem.
Serverless Migration
Not every workload needs to move to serverless, and pretending an entire application should migrate all at once tends to produce a worse outcome than honestly identifying which specific workloads genuinely benefit from serverless's characteristics. We design incremental migration paths that move the right workloads, variable-traffic APIs, event-driven background processing, scheduled jobs, to serverless first, while leaving workloads genuinely better suited to traditional hosting, like long-running processes or consistently high, steady traffic, where they already work well. This selective, honest approach to migration is what actually delivers serverless's benefits where they genuinely apply, rather than forcing an architectural pattern onto every workload regardless of fit.
How we design serverless architecture that fits the workload, not the other way around
A process built on honestly matching serverless to workloads that genuinely benefit from it.
- 01
Workload Fit Assessment
We assess which of your workloads genuinely fit serverless's characteristics, variable traffic, event-driven triggers, versus which would be better served by traditional hosting, giving an honest recommendation rather than defaulting to serverless for everything.
- 02
Event-Driven Architecture Design
We design the event-driven function architecture, identifying the specific triggers, HTTP requests, file uploads, scheduled jobs, database changes, each function should respond to, and scoping functions appropriately rather than too granular or too broad.
- 03
Cold Start Strategy Implementation
For latency-sensitive functions, we implement cold start mitigation strategies like provisioned concurrency, while allowing less sensitive background functions to accept occasional cold starts where that tradeoff genuinely makes sense.
- 04
Function Development
We build the functions themselves, implementing proper timeout handling and structuring code to work well within serverless's execution model, avoiding patterns that assume long-running, always-available server state.
- 05
Observability Setup
We implement observability and distributed tracing specifically suited to serverless's ephemeral nature, ensuring your team can genuinely debug issues across event-driven functions rather than lacking visibility into what happened during a brief function execution.
- 06
Incremental Migration & Ongoing Support
For workloads migrating from existing infrastructure, we move them to serverless incrementally, validating each migrated piece in production before moving the next, and remain available for ongoing support as usage patterns evolve.
Serverless technology stack
We build on the leading serverless platforms and infrastructure providers.
Frequently Asked Questions
Serverless architecture runs your code in managed, auto-scaling functions triggered by events, without you needing to provision, patch, or maintain the underlying servers yourself, since the cloud provider handles all of that infrastructure management on your behalf.
You typically pay only for actual execution time and usage rather than idle server capacity sitting unused, which can meaningfully reduce costs for workloads with variable or unpredictable traffic, though it can cost more than traditional hosting for consistently high, steady traffic.
Yes, serverless functions scale automatically to handle traffic spikes without manual intervention or capacity planning, since the platform provisions additional function instances as demand increases without you needing to predict or manually configure for that spike in advance.
We design around cold start latency using strategies like provisioned concurrency for functions where response time genuinely matters most, while accepting occasional cold starts for less latency-sensitive background functions where the tradeoff makes more sense.
Yes, we build event-driven serverless workflows triggered by file uploads, database changes, scheduled jobs, and message queue events, not just standard HTTP requests, taking advantage of serverless's genuine strength in event-driven architecture.
Yes, we can migrate specific workloads to serverless incrementally, starting with functions that genuinely benefit most from serverless's characteristics, without requiring your entire application to be rewritten or migrated all at once.
Yes, we design serverless functions with proper timeout handling and are honest about workloads genuinely unsuited to serverless, like very long-running processes, since forcing a poor architectural fit onto serverless usually creates more problems than it solves.
Yes, we implement proper observability and distributed tracing specifically suited to serverless's ephemeral, event-driven nature, since debugging serverless functions requires genuinely different tooling than debugging a traditional, always-running server application.
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