Where we help
Use cases that match how cloud estates actually evolve
These scenarios are composites of real constraints: traffic spikes, compliance, legacy integrations, and teams that need velocity without sacrificing safety.
Underpinning most scenarios: phased migration sequencing, explicit landing zone controls, and honest cloud ecosystem tradeoffs.
Media & streaming platforms
- The challenge
- Global audiences, bursty traffic, and zero tolerance for playback failures during live events.
- How we approach it
- Edge-aware architectures, autoscaling patterns, cache hierarchies, and observability tied to viewer experience—not just CPU graphs.
- What good looks like
- Predictable behavior under spikes, faster incident response, and cost models aligned to audience scale.
Enterprise application modernization
- The challenge
- Decades of .NET and Java monoliths, batch jobs, and integrations that can’t pause for a big bang.
- How we approach it
- Strangler patterns, containerization where it helps, data movement with integrity checks, and CI/CD that reduces release anxiety.
- What good looks like
- Incremental value delivery with measurable risk reduction per wave.
Legacy workloads to containers
- The challenge
- Lift-and-shift alone won’t unlock velocity; teams need a path to operate containers like a product.
- How we approach it
- Image standards, config externalization, health checks, and cluster baselines that match operational maturity.
- What good looks like
- Fewer mysterious outages, clearer ownership, and a runway toward cloud-native practices.
Internal platform engineering
- The challenge
- Engineers wait on tickets; platform teams drown in bespoke requests; golden paths are missing.
- How we approach it
- Platform as a product: paved roads, templates, self-service APIs, and metrics that prove adoption.
- What good looks like
- Higher developer throughput with guardrails that security and ops can stand behind.
Digital product scaling
- The challenge
- Product-market fit arrived; the platform is now the bottleneck for feature speed and reliability.
- How we approach it
- Performance baselines, database scaling paths, caching discipline, and CI/CD tuned for frequent releases.
- What good looks like
- Room to grow without heroic manual operations each quarter.
High-traffic distributed systems
- The challenge
- Microservices complexity, partial failures, and on-call pain that outpaces documentation.
- How we approach it
- SLO design, traceability across services, load testing, and incident tooling that reduces time to remediate.
- What good looks like
- Systems that degrade gracefully and teams that can reason about them under pressure.