Serverless & Edge
Not every workload needs a server running around the clock. Serverless and edge architectures let you pay for what actually runs, scale to zero when it doesn’t, and push logic closer to the user when latency matters — but they’re a good fit for some problems and a poor one for others, and part of the job is telling you which is which before you commit to either.
What we build
Hybrid and fully serverless systems built on AWS Lambda and Google Cloud Functions, plus edge compute for the parts of a request that genuinely benefit from running close to the visitor — authentication checks, redirects, personalisation, and similar low-latency logic that doesn’t need a full round trip to a origin server.
How we work
We treat serverless as a cost and operations decision as much as an architectural one. That means being honest about where it helps — bursty or unpredictable traffic, infrequent background jobs, event-driven processing — and where a conventional always-on service is still the better and simpler choice. Cold starts, execution limits and vendor-specific quirks get designed around up front, not discovered in production.
What you get
Infrastructure that scales down as readily as it scales up, so you’re not paying idle-server cost for traffic that only shows up in bursts. Where a project is mixed — some parts always-on, some parts event-driven — we design the split deliberately rather than defaulting everything to one model out of habit.
This pairs closely with Cloud & Infrastructure for the parts of a system that do need to run continuously, and with Backend Development for the APIs that sit in front of either.
Frequently asked questions
When is serverless the right choice?
Serverless is the right choice when you expect big spikes in demand or when resilience is the top priority. The platform scales automatically with traffic and removes single servers as points of failure, so you're not paying for idle capacity sized for your busiest hour.
Can you move an existing application to serverless?
Yes. Internet Mate can migrate an existing application to a serverless or hybrid architecture, moving the workloads that benefit from bursty, event-driven scaling while keeping a conventional always-on service where that's still the simpler choice. We design the split deliberately rather than defaulting everything to one model.
How do you deal with cold starts and vendor lock-in?
For slow cold starts, we allocate more memory to AWS Lambda functions (which also gives them more CPU) and use fast-starting runtimes such as Rust, Go or Python. To avoid vendor lock-in, we define serverless infrastructure with frameworks such as Terraform or the Serverless Framework, so the architecture is portable and documented rather than tied to one provider's console.
Ready to start a project?
Tell us what you're building. We'll get back to you quickly with an honest assessment of how we can help.