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11 resultsObservability — Logs, Metrics, and Traces
Implementing the three pillars with OpenTelemetry and making them actionable.
Applied AI & ML — Service Overview
Everything included in our Applied AI engagements: RAG, agents, fine-tuning, evals, and guardrails.
Service Mesh — Istio and Linkerd for Microservices
mTLS, traffic management, observability, and the operational cost of a service mesh.
Product Engineering — Service Overview
APIs, dashboards, and services delivered with tests, CI/CD, and observability from day one.
Our observability stack for production services
Logs, metrics, traces — how we instrument every service we ship.
Data Observability — Detecting Silent Pipeline Failures
Freshness, volume, distribution, schema, and lineage monitoring for data reliability.
Data Contracts — Formalising Agreements Between Producers and Consumers
Schema, SLAs, semantics, and how to enforce data contracts in practice.
DORA Metrics — Measuring Engineering Delivery Performance
Deployment frequency, lead time, MTTR, and change failure rate in practice.
Background Job Queue Design
Idempotency, retries, dead letter queues, and job observability.
Logging Best Practices for Production Services
Structured logging, log levels, correlation IDs, and log aggregation.
How long does a typical project take?
Timeline expectations from kick-off to launch.