What we deliver
Twara Technologies builds the software layer that sits between connected devices and the people who rely on them. A well-designed IoT platform knows which devices exist and who owns them, accepts their data securely, stores it in a form that is fast to query and affordable to keep, and turns it into alerts, dashboards and integrations that change what people do. We engineer that chain end to end and document it so your team can operate and extend it.
If you are also building the devices themselves, the platform is designed alongside IoT Product Development so that identity, payload formats and update flows match on both sides.
Typical scope
- Device identity and onboarding: certificates or keys per device, claim and transfer of ownership, and safe decommissioning.
- Ingestion endpoints for MQTT, HTTPS or gateway uploads, with schema validation and rejection of malformed messages.
- Normalisation of payloads from different device types into a single data model.
- Hot and cold storage: a time-series store for recent data, object storage or a warehouse for history and analytics.
- Rules and alerting: thresholds, missing-data detection, escalation by role and channel.
- Device commands and configuration changes, with confirmation and an audit trail.
- Web dashboards, mobile views, report exports and user administration.
- APIs and webhooks for enterprise systems.
- Fleet views showing connectivity, battery and firmware version, linked to update campaigns.
Technologies we work with
- Managed IoT services: AWS IoT Core, Azure IoT Hub and similar offerings, which take on connection handling, device authentication and message routing.
- Self-managed brokers: open-source MQTT brokers such as Eclipse Mosquitto or EMQX when portability or on-premises deployment matters. MQTT itself is an OASIS Standard designed, as mqtt.org puts it, as a lightweight publish/subscribe transport.
- Streaming and processing: Apache Kafka or cloud-native queues and stream processors for high-volume pipelines.
- Time-series storage: TimescaleDB, InfluxDB or a cloud time-series service, with PostgreSQL for relational data such as users, sites and assets.
- Dashboards: custom web applications in React or Angular when the dashboard is part of your product; Grafana when an internal operations view is enough.
- Infrastructure: containers on Kubernetes or managed container services, defined with Terraform or provider-native templates.
How we choose: the number of devices and messages, whether the platform must run in your own data centre, your existing cloud commitments, and whether the dashboard is an internal tool or something your customers will see and pay for.
How we approach it
- Map the decisions. Identify who uses the data, what they need to know, how quickly, and what action follows.
- Define the data model. Devices, assets, sites, readings, events and their relationships, agreed before code is written.
- Build a thin slice. One device type flowing through ingestion, storage, a rule and a dashboard, so the whole path is proven early.
- Widen and harden. Add device types, roles, integrations and fleet tools; load-test ingestion and failure scenarios.
- Operate. Monitoring, alerting on the platform itself, backups, cost tracking and runbooks for common incidents.
Security, privacy and quality
- Unique credentials per device, mutual TLS where supported, and the ability to revoke a single device without affecting others.
- Web dashboards and APIs tested against the risks in the OWASP Top 10:2025, which places broken access control first. Multi-tenant platforms get explicit tests that one customer cannot see another’s data.
- Retention and deletion rules designed around the Digital Personal Data Protection Act, 2023 and the DPDP Rules, 2025, whose principles include data minimisation, storage limitation and security safeguards.
- Logging planned with India’s CERT-In directions of 28 April 2022 in mind: they require covered entities to keep ICT system logs securely for a rolling 180 days within Indian jurisdiction, synchronise clocks with NIC or NPL time servers (or sources traceable to them) and report listed incidents, which include attacks on IoT devices, within 6 hours of noticing them.
- Automated tests for ingestion, rules and APIs, load tests before launch and infrastructure changes reviewed through version control.
Engagement options
- Platform blueprint: architecture, data model and technology recommendation you can build with us or in-house.
- Platform build: Twara Technologies delivers the back end and dashboards end to end, with a documented handover.
- Modernisation: stabilise or migrate an existing IoT back end that has outgrown its first design.
- Managed operation: ongoing monitoring, updates and improvements once the platform is live.
Contact us to talk through your devices and the decisions their data should support.