Search results
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.
Data Observability — Detecting Silent Pipeline Failures
Freshness, volume, distribution, schema, and lineage monitoring for data reliability.
How long does a typical project take?
Timeline expectations from kick-off to launch.
Logging Best Practices for Production Services
Structured logging, log levels, correlation IDs, and log aggregation.
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.
Data Contracts — Formalising Agreements Between Producers and Consumers
Schema, SLAs, semantics, and how to enforce data contracts in practice.
Our observability stack for production services
Logs, metrics, traces — how we instrument every service we ship.
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.