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Edge Computing Orchestration in IoT: Coordinating Distributed Workloads

DZone

In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. However, managing distributed workloads across various edge nodes in a scalable and efficient manner is a complex challenge.

IoT 195
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Microsoft Ignite 2023 guide: AI transformation and Microsoft Azure

Dynatrace

The surge of the internet of things (IoT) has led to the exponential growth of applications and data processing at the edge. Furthermore, an accelerating digital-centric economy pushes us closer to the edge—processing client data as close to the originating source as possible.

Azure 130
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How to evaluate modern APM solutions

Dynatrace

Artificial intelligence for IT operations (AIOps) for applications. A truly modern APM solution provides business analytics, such as conversions, release success, and user outcomes across web, mobile, and IoT channels, linking application performance to business KPIs. Application discovery, tracing, and diagnostics (ADTD).

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AWS re:Invent 2020 talks related to sustainability

Adrian Cockcroft

This is becoming topical as governments and public companies around the world are looking for efficient and standardized ways to report their sustainability impact, and investors and asset managers are looking for common datasets and models to base their risk analysis on. AWS at the edge: Using AWS IoT to optimize Amazon wind farms AES22 ?—?Climate

AWS 52
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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum has a uniquely designed data pipeline that can efficiently stream data from the disk to the CPU, without relying on the data fitting into RAM memory, as explained in their Greenplum Next Generation Big Data Platform: Top 5 reasons article. Query Optimization. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321
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What is APM?

Dynatrace

Experience and outcomes matter, whether it’s mobile app-to-user, IoT device-to-customers, or an application behind the scenes. With intelligence into user sessions, including Real User Monitoring and Session Replay , you can connect experiences to business outcomes like conversions, revenue and KPI’s.