DevOps Solutions
DevOps for IoT
IoT platforms ingest data from thousands to millions of devices, process telemetry in real time, manage firmware updates over the air, and must handle intermittent connectivity gracefully. We implement DevOps infrastructure for IoT — message brokers, time-series storage, edge deployment, device management, and OTA update pipelines.
Need this done for your project?
We implement, you ship. Async, documented, done in days.
IoT Infrastructure Challenges
IoT systems face challenges that web applications don't: massive ingest rates from devices sending telemetry every second, MQTT/CoAP protocol handling, device authentication at scale, OTA firmware updates with rollback capability, edge computing for latency-sensitive processing, and time-series data storage that scales to billions of data points.
Message Broker Infrastructure
We deploy MQTT brokers (EMQX, HiveMQ, or Mosquitto) or managed services (AWS IoT Core, Azure IoT Hub) configured for your device count and message rate. Brokers are clustered for high availability. Topic-based routing directs telemetry to appropriate processing pipelines. QoS levels are configured per message type — fire-and-forget for telemetry, guaranteed delivery for commands.
Data Pipeline & Storage
Device telemetry flows from message brokers through stream processing (Kafka, Kinesis, or Pub/Sub) to time-series databases (TimescaleDB, InfluxDB, or QuestDB). Hot data serves real-time dashboards and alerting. Cold data moves to object storage for historical analysis. Downsampling and retention policies manage storage costs as data accumulates.
Device Management & OTA
We implement device provisioning workflows, certificate-based authentication, device shadow/twin state management, and OTA firmware update pipelines. Updates roll out in stages — canary groups first, then gradual expansion. Automatic rollback triggers if devices report errors after update. Device fleet health dashboards track firmware versions, connectivity, and error rates.
Edge Computing
For latency-sensitive or bandwidth-constrained scenarios, we deploy edge computing infrastructure. Lightweight Kubernetes (k3s) or container runtimes on edge gateways run inference models, data aggregation, and local control logic. Edge-to-cloud sync handles intermittent connectivity with store-and-forward patterns.
How It Works
Purchase the engagement, submit your async brief with your device types, expected fleet size, and data requirements, and receive a complete IoT DevOps implementation within 10–14 business days.
Why Anubiz Engineering
100% async — no calls, no meetings
Delivered in days, not weeks
Full documentation included
Production-grade from day one
Security-first approach
Post-delivery support included
Ready to get started?
Skip the research. Tell us what you need, and we'll scope it, implement it, and hand it back — fully documented and production-ready.