Solution
Enterprise Platform Engineering
Building the shared infrastructure that internal engineering teams depend on — so product teams ship faster, security is consistent, and engineers spend time on product problems rather than reinventing infrastructure.
What they are
The foundations engineering teams build on
An enterprise platform is the set of foundational services that product teams consume rather than build themselves. Authentication and authorisation. API gateway and routing. Event streaming infrastructure. Shared observability tooling. Developer portals and self-service environment provisioning. Security scanning and policy enforcement pipelines.
When these exist as well-designed, well-maintained shared services, engineering teams can focus on the product work that creates business value. When they don't — or when each team has built their own version — the result is fragmentation: twelve different auth implementations, six different approaches to API rate limiting, inconsistent logging that makes incident response expensive, and onboarding processes that take weeks because no team has an opinionated starting point.
Platform engineering is the discipline of building these foundational services intentionally, with the engineering teams as the internal customers.
Why it matters
The cost of platform neglect
Platform problems compound over time. The longer they go unaddressed, the more expensive they are to fix.
Inconsistent tooling
Each team uses different libraries, frameworks, and patterns for the same cross-cutting concerns. Code review, incident response, and engineer transfers between teams become expensive.
Repeated infrastructure patterns
Time that should be spent on product features is spent building the same deployment pipeline, the same secrets management pattern, the same service mesh configuration — across every new team and service.
Security gaps
When security is decentralised, it's inconsistent. Teams that didn't get the latest policy update ship services with outdated auth patterns or missing controls. A shared platform enforces policy automatically.
Slow developer velocity
New engineers spend the first weeks figuring out how to set up a local environment, get access to dependencies, and deploy a first change. A well-designed platform reduces this to hours.
Deliverables
What we deliver
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Internal Developer Platform
A self-service platform that abstracts infrastructure complexity — service scaffolding, environment provisioning, secrets management, and deployment pipelines available through a developer portal or CLI.
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API gateway design and implementation
A centralised entry point for internal and external API traffic, with consistent routing, rate limiting, authentication enforcement, and observability.
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Auth and identity platform
A shared identity service covering SSO, machine-to-machine auth, RBAC, and audit logging — so every service in the estate uses the same auth layer rather than each maintaining its own.
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Event streaming backbone
A managed event bus (typically Kafka) with defined schema standards, topic governance, consumer group management, and monitoring — so services communicate asynchronously without custom integration per pair.
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Shared service libraries
Opinionated library packages for common concerns — logging, tracing, health checks, error handling — maintained by the platform team and adopted by product teams, ensuring consistency without mandating application architecture.
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Platform observability
Centralised metrics, distributed tracing, log aggregation, and alerting infrastructure that all services on the platform emit to — with dashboards and runbooks that make incident response systematic rather than bespoke.
Context
Services and scope
Services involved
Technologies commonly used
Applies to
Any organisation with multiple engineering teams working on interdependent services — typically from 3+ product teams upward.
Common questions
Frequently asked questions
The clearest signal is when teams start duplicating work or making incompatible choices for the same infrastructure problems. For most organisations, this becomes visible at three to five product teams. Below that, a single opinionated starting template and a shared repo of infrastructure patterns is usually sufficient. A fully staffed platform team and a comprehensive Internal Developer Platform becomes warranted when the cost of coordination and inconsistency is measurably slowing delivery.
Done well, it doesn't. The platform handles cross-cutting infrastructure concerns; product teams retain full autonomy over their service design, data models, and business logic. The key design principle is that the platform provides capabilities through clean interfaces — teams consume them, not inherit them. Opinionated defaults that teams can override are better than mandates. The goal is to make the right thing easy, not to restrict what's possible.
Migration is incremental, not a cutover event. New services are built on the platform from day one. Existing services migrate component-by-component — auth first, then observability, then deployment pipelines — with each service team owning their own migration timeline within agreed guardrails. We typically set a sunset date for legacy infrastructure patterns and provide migration tooling that makes adoption straightforward for teams who haven't had time to migrate proactively.
AlgoDomain typically works as an embedded component of the platform team rather than as an external vendor. We build alongside your engineers, document what we build, and structure the engagement so your team is progressively taking ownership of each component. By the time the engagement ends, the platform team is fully capable of operating and extending what was built. We also help with hiring and team design if the platform function doesn't yet exist internally.
Platform engineering is relevant regardless of cloud topology. Most of our clients run primarily on a single cloud provider, and the platform work is valuable in that context — the goal is consistency and developer velocity, which doesn't require multi-cloud. For organisations running across multiple clouds or managing a hybrid on-premise and cloud estate, the platform becomes even more important, as it abstracts the underlying infrastructure differences from product teams.
Building the foundations for faster delivery?
Platform engineering is most effective when it starts from a clear understanding of where your current teams are losing time. Let's start there.