Telemetry
Concept
A time-ordered record of repeated measurements sent by devices, such as machine sensor readings, whose meaning comes from the sequence rather than any single value.
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Articles about Telemetry (26)
- تحسين تكاليف استيعاب بيانات Azure IoT: دليل FinOps لبيانات الحافة الصناعية
· Mirko Peters
تعرّف على كيفية خفض تكاليف استيعاب بيانات Azure IoT لأحمال العمل الصناعية دون فقدان أدلة الأعطال الحرجة، وذلك باستخدام استراتيجيات FinOps مجرّبة وإدارة بيانات الحافة. - لماذا يفشل نموذج الصيانة التنبؤية في Azure دون معرّفات ثابتة للمعدات
· Mirko Peters
تعرّف على أسباب فشل نماذج الصيانة التنبؤية في Azure عند غياب معرّفات ثابتة للأصول، وتعلّم كيفية ربط أجهزة الاستشعار والأصول وسجلات الصيانة. - لماذا يفشل نموذج الصيانة التنبؤية في Azure دون استراتيجية ربط أصول سليمة
· Mirko Peters
اكتشف لماذا تفشل نماذج الصيانة التنبؤية في Azure دون ربط الأصول بشكل صحيح، وتتبع المستشعرات، وحوكمة الهويات على أرضية المصنع. - أعطال شبكات المصانع: كيفية تصميم تخزين الحافة ومخازن التخزين ثم إعادة الإرسال
· Mirko Peters
تعرّف على كيفية تصميم تخزين حافة مرن ومخازن تخزين ثم إعادة الإرسال لشبكات التصنيع. امنع فقدان البيانات أثناء انقطاع شبكة المنطقة الواسعة للمصنع. - TPM مقابل X.509 مقابل المفاتيح المتماثلة: اختيار طريقة الإثبات الصحيحة لـ Azure DPS
· Mirko Peters
مقارنة بين TPM وX.509 والمفاتيح المتماثلة في Azure DPS. تعرّف على كيفية اختيار طريقة الإثبات الصحيحة لتزويد أكثر من 100,000 جهاز من إنترنت الأشياء بشكل آمن. - Optimizing Azure IoT Ingestion Costs: A FinOps Guide for Industrial Edge Data
· Mirko Peters
Learn how to reduce Azure IoT ingestion costs for industrial workloads without losing critical fault evidence using proven FinOps and edge data strategies. - Why Your Azure Predictive Maintenance Model Fails Without Stable Equipment IDs
· Mirko Peters
Discover why Azure predictive maintenance models fail without stable equipment identifiers and learn how to map sensors, assets, and maintenance records. - Why Your Azure Predictive Maintenance Model Fails Without a Proper Asset Mapping Strategy
· Mirko Peters
Discover why Azure predictive maintenance models fail without proper asset mapping, sensor tracking, and identity governance on the factory floor. - Factory Network Outages: How to Design Edge Storage and Store-and-Forward Buffers
· Mirko Peters
Learn how to design resilient edge storage and store-and-forward buffers for manufacturing networks. Prevent data loss during plant WAN outages. - TPM vs X.509 vs Symmetric Keys: Choosing the Right Attestation Method for Azure DPS
· Mirko Peters
Compare TPM, X.509, and symmetric keys for Azure DPS. Learn how to choose the right attestation method to securely provision 100,000+ IoT devices. - Why a Unified Namespace Is Not a Factory Map for Manufacturing Analytics
· Mirko Peters
Discover why a Unified Namespace acts as a message highway rather than a factory map, and why industrial connectivity is not true integration. - Why Manufacturing Data Models Are Essential for Continuous Improvement
· Mirko Peters
Discover how structured manufacturing data models eliminate siloed metrics, preserve context, and transform continuous improvement initiatives into lasting operational gains. - Industrial IoT Message Routing: Avoiding the Trap of Event-Driven Overload
· Mirko Peters
Discover why Azure IoT Hub Message Routing and Event Grid are not the same. Learn how to design industrial IoT architectures without triggering event overload. - Why Treating High-Volume Industrial Telemetry as Event Grid Messages Breaks Cloud Architectures
· Mirko Peters
Discover why routing high-volume industrial sensor data through Azure Event Grid creates noise, breaks message ordering, and ruins IoT architectures. - Why Counting Devices for Industrial IoT Cloud Budgets Fails
· Mirko Peters
Stop using device counts for IIoT cloud budgets. Learn how the Samples × Bytes × Time × Assets formula reveals your true factory data costs. - Why Real-Time Manufacturing Dashboards Fail to Show Production Flow
· Mirko Peters
Discover why real-time manufacturing dashboards fail to explain production bottlenecks and how shifting to a live value stream model delivers true operational intelligence. - The Death of the Generalist Bot: Why Your Enterprise Copilot Needs Specialization
· Mirko Peters
Welcome back to the podcast blog! If you have been following our recent audio episodes, you know we have been unpacking the massive shifts happening across the ente… - Mastering Cost Management in Azure Monitor
· Mirko Peters
Welcome back to the podcast companion blog! In today's post, we are diving deep into a topic that keeps many cloud architects, developers, and IT administrators up … - Understanding the Three Types of Azure Blobs: Block, Append, and Page
· Mirko Peters
When working with cloud infrastructure, designing an efficient and cost-effective data architecture starts with choosing the right storage primitives. Azure Blob St… - Overcoming the Latency Wall: Why Your Cloud Strategy Needs the Edge
· Mirko Peters
As organizations push deeper into artificial intelligence, industrial automation, and real-time operational telemetry, a silent barrier often threatens to derail th…
6 more articles
- Mastering Telemetry-Driven Logic Layers in Power Automate · 2026-08-26
- Mastering the Five Pillars of Azure Advisor · 2026-08-22
- Turn Raw Data into Actionable Insights: Monitoring Business Central Telemetry with Power BI · 2026-08-12
- 9 Hidden Reasons Your Microsoft 365 Copilot Deployment Is Struggling · 2026-08-12
- Stop Drowning in Data: Why Telemetry Triangulation is the Key to Better M365 Insights · 2026-08-11
- Turning M365 Telemetry into Decisions · 2025-11-17
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Maintained by Mirko Peters (Microsoft MVP) · Last updated: