Search the practice set
126 questions, 454 terms and 400 topics in 20 areas.
23 results for “ML Platform”
Booking.com's Experimentation Platform
Booking.com runs over a thousand concurrent experiments and treats the ability to test any change safely as a platform capability rather than a product feature.
Data Mesh
An organisational approach that gives domain teams ownership of their analytical data as a product, with a self-serve platform and federated governance.
Health Check
An endpoint the platform polls to decide whether an instance should be restarted or should receive traffic — two different questions needing two different checks.
Kubernetes
A container orchestrator that continuously reconciles the running state of a cluster towards a declared desired state.
Monzo's Microservice Estate
Monzo runs a bank on well over a thousand microservices, and the interesting engineering is in the platform and network isolation that makes that number survivable.
Netflix's Recommendation Architecture
Netflix splits personalisation into offline, nearline and online layers so that expensive computation happens ahead of time and the request path stays fast.
Paved Road
A supported, opinionated default way to build and run a service, made easy enough that teams choose it rather than being required to.
Product Thinking
Treating what you build as something with users, a value proposition and a lifecycle, rather than as a project that completes.
Replatform
Migrating an application largely as-is while making targeted changes to exploit the target platform — usually the best return per unit of effort.
Service Mesh
An infrastructure layer of sidecar proxies that handles service-to-service networking — mTLS, retries, timeouts, routing, telemetry — outside the application.
Workload Identity
Giving a running workload a cryptographically verifiable identity issued by the platform, so it obtains short-lived credentials without a stored secret.
eBay's Architectural Generations
eBay rewrote its core platform several times across its first decade, each time because the previous generation had hit a limit that could not be tuned away.
A design review presents a new event-driven platform. What cost questions do you ask before approving it?
What the interviewer is testing Whether cost is part of your architecture review or an afterthought handled by finance later, and whether you know the specific
You are asked to choose between a cloud data warehouse and a lakehouse for a new analytics platform. How do you decide?
What actually differs The gap has narrowed considerably, so the decision turns on fewer things than the marketing suggests. Format ownership. In a lakehouse, da
You are designing APIs for a platform with a web app, a mobile app, internal service-to-service traffic and third-party partners. What do you expose, and where?
What the interviewer is testing Whether you choose per constraint or adopt one technology as an identity. The wrong answers here are all defensible sounding and
ML Platform
Feature stores, training pipelines, registries and deployment.
Platform Teams
Reducing other teams' cognitive load, measured by adoption.
Platform as a Product
Adoption earned rather than mandated, with an owner and a roadmap.
Architecture Roles
Solution, enterprise, domain and platform architecture, and where each is accountable.
Centralised vs Distributed
Shared platform leverage against team autonomy.
Operating Models
How delivery, platform and governance functions fit together.
Subnetting
Tiering, zone binding, and sizing for an address-hungry platform.
Team Topologies
Stream-aligned, platform, enabling and complicated-subsystem teams.