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CodeSelf Infotech logoCodeSelf Infotech
Systems & Automation • Fleet Telemetry & Remote Diagnostics

Real-time health monitoring, remote diagnostics, and alerting for hardware fleets.

We build scalable device monitoring platforms that ingest high-frequency telemetry from thousands of deployed edge devices, monitor CPU and memory headroom, detect anomalies, and dispatch alerts.

Target Profiles:Chief Technology Officers, VP of IoT Solutions, and Hardware Operations Directors managing thousands of physical devices deployed in the field.
pipeline://device-monitoring.live
ACTIVE
Active Pipeline StagesStage 01 of 04
1. Ingest
Edge Devices (Linux / RTOS / Android)Authenticated Webhook / API
2. Validate
Schema & PII CheckZero-Trust Sanitization
3. Core Engine
State MachineDeterministic Execution
4. Deliver
Global Fleet Management ConsoleTransactional Sync
Current State: Edge Devices (Linux / RTOS / Android)
Verified • Zero Loss

Listening for incoming event triggers via authenticated REST webhooks and stream consumers.

REALTIME EXECUTION TELEMETRY
Connected Stack:
MQTTTimescaleDBClickHouseAWS IoT
Zero Vendor Lock-in
Deployment Timeline
4-6 Weeks
IP Ownership
100% Client-Owned
Fleet Scale
100,000+ Devices
Diagnostic Tunnel
Secure & Encrypted
Operational Reality

Managing thousands of deployed devices in the dark

Once physical devices ship to customer sites or remote locations, operations teams lose visibility into their operating health. When devices crash, brick, or run out of memory, companies face costly truck rolls and angry customers.

Operational Area
Status Quo (Today)
With CodeSelf Architecture
Fleet Visibility
Team has no idea which devices are online until a customer submits an outage ticket.
Global interactive map console displays real-time health, connectivity, and firmware versions for every device.
Remote Diagnostics
Technician must drive 3 hours to site with a laptop to inspect serial console logs.
Secure cryptographic diagnostic tunnel allows certified administrators to view remote logs and reboot devices in seconds.
Anomaly Alerting
Memory leak gradually consumes RAM over 30 days until device locks up permanently.
Automated telemetry analysis detects memory degradation slope and issues automated preventative restarts.
Firmware Rollouts
Flashing new firmware to the entire fleet simultaneously, risking widespread bricking.
Canary OTA deployment: releases to 1% of devices, verifies health metrics, then rolls out progressively.

Zero visibility into device CPU, memory, temperature, and signal strength until customers report outages

Costly on-site technician dispatches ($500+ per visit) to fix minor configuration or reboot issues

Firmware update failures silently bricking devices in the field with no remote diagnostic access

Cloud monitoring costs ballooning uncontrollably as device fleets scale to tens of thousands of units

System Architecture

Deterministic 4-Tier Architecture Pipeline

We design modular, loosely-coupled architectures with automated validation, transactional rollbacks, and complete audit observability.

Tier 01 • Ingestion

Data Inputs & Webhooks

  • Edge Devices (Linux / RTOS / Android)
  • Cellular / Wi-Fi Gateways
  • Environmental Sensors
  • Battery Telemetry
Direct authenticated streams
Tier 02 • Validation

Ingestion & Sanitization

High-Scale MQTT / WebSocket Gateway: lightweight binary serialization (Protobuf) with mTLS authentication.

Schema validation & PII check
Tier 03 • Core Engine

State Machine & Engine

Time-Series Stream Engine (TimescaleDB / ClickHouse): real-time threshold rules, heartbeat checks, and crash log parsers.

Deterministic execution
Tier 04 • Delivery

Outputs & Synchronized Actions

  • Global Fleet Management Console
  • PagerDuty / Slack Alerts
  • Remote Diagnostic Shell
  • OTA Update Controller
Audit logged & verified
Integration Compatibility & Connectors:

Connects directly to your existing systems with zero need to rip-and-replace your existing stack.

MQTTTimescaleDBClickHouseAWS IoTMemfaultGrafanaLinux Systemd
Core Capabilities

Device Monitoring Capabilities

Targeted implementation streams built specifically for high reliability, strict data compliance, and operational scale.

WORKSTREAM 01

High-Density Real-Time Telemetry

Ingesting device vitals (CPU load, memory headroom, flash wear, internal temperature, cellular RSSI) with minimal cellular data bandwidth.

WORKSTREAM 02

Secure Remote Diagnostic Tunnels

On-demand encrypted reverse SSH/WebSocket tunnels allowing certified administrators to inspect device logs and run diagnostics remotely.

WORKSTREAM 03

Automated Heartbeat & Silent-Device Alerting

Configurable watchdog rules that trigger alerts when a device misses its scheduled check-in window, preventing unnoticed outages.

WORKSTREAM 04

Canary Over-the-Air (OTA) Management

Staged firmware rollout controllers that release updates in cohorts, monitoring error logs and rolling back automatically if crashes occur.

Strategic Evaluation

Why hire CodeSelf for this use case.

We operate as your dedicated technology implementation partner with complete transparency, full IP handover, and zero platform markups.

Evaluation Factor
Generic Agency
Off-the-Shelf SaaS
CodeSelf Architecture
Low-Bandwidth Binary Protocols
Sends bloated JSON over HTTP, quickly exhausting cellular data budgets and draining device batteries.
Charges heavy per-device monthly fees ($2-$5/device/mo) that erode hardware company profit margins.
Ultra-compact Protobuf / CBOR binary payloads over lightweight MQTT, minimizing cellular costs and power draw.
Zero Hardware Lock-In
Creates ad-hoc scripts that lack security certificates and fail when scaling past 50 devices.
Forces you to use their proprietary agent daemon and restrictive cloud APIs.
Open-source standard daemons (systemd, OpenSSL, MQTT) running on your hardware and reporting to your private cloud.
Complete Intellectual Property Transfer
Incomplete code handoffs without provisioning scripts or recovery procedures.
If you leave the SaaS platform, you lose all historical diagnostic logs and remote management capabilities.
You own 100% of the server backend, edge monitoring daemons, and administrative dashboards.
Deliverables & Value

What you receive upon completion.

Every engagement concludes with complete intellectual property handover, production source code, and measurable business outcomes.

Production Technical Assets (100% IP Owned)

Lightweight edge telemetry daemon for Linux and RTOS hardware
Clustered MQTT telemetry ingestion backend with time-series database
Interactive fleet management web console with global map view
Secure on-demand remote diagnostic tunneling service
Automated watchdog alerting engine integrated with PagerDuty and Slack
Delivered to your private Git repo with automated CI/CD

Quantifiable Operational ROI

Eliminates 70%+ of expensive physical on-site service truck rolls
Reduces device outage resolution time from days to minutes
Zero per-device recurring software licensing royalties
Protects device fleets from catastrophic bricking during firmware updates
Benchmarked and verified during final acceptance testing
Delivery Methodology

From architecture blueprint to production launch.

Transparent, sprint-based delivery with weekly demonstrations and continuous integration directly into your staging environments.

01

Telemetry Schema & Bandwidth Budget

Design lightweight Protobuf payloads and determine reporting cadences to meet cellular bandwidth budgets.

02

Edge Agent & Security Certificate Setup

Build lightweight edge monitoring daemon and provision unique x509 certificates per device.

03

Cloud Ingestion & Time-Series Engine

Deploy clustered MQTT brokers and time-series storage capable of handling millions of daily events.

04

Fleet Console & Alerting Rollout

Deploy responsive map and tabular consoles allowing operators to filter devices by status, firmware, and location.

Frequently Asked Questions

Common questions decision-makers ask before kicking off.

How much cellular data does the telemetry agent consume?+
By using compact binary serialization (Protobuf) and batching periodic vitals, we keep daily data consumption under 100 KB per device, making it fully viable even on low-cost 2G/LTE-M cellular IoT SIM cards.
How is the remote diagnostic tunnel secured?+
Remote tunnels are ephemeral and use mutual TLS (mTLS) with short-lived tokens. The device never exposes open inbound listening ports; it dials outbound over encrypted WebSockets to your private cloud gateway upon administrative request.
Can this monitor devices running resource-constrained microcontrollers (ESP32, STM32)?+
Yes. For embedded microcontrollers without a full Linux OS, we provide a lightweight C telemetry client that reports vitals over MQTT with less than 20 KB of RAM footprint.
Can we integrate alerts with our existing PagerDuty and Slack?+
Yes. Critical telemetry triggers (such as unexpected temperature spikes, battery failure, or missed heartbeats) dispatch immediately to your designated PagerDuty on-call escalation policies and Slack channels.