Remove Artificial Intelligence Remove Efficiency Remove IoT Remove Processing
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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

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

Azure 130
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How to evaluate modern APM solutions

Dynatrace

These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions. Artificial intelligence for IT operations (AIOps) for applications. Insight into business KPIs.

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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. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms. The Serverless Process.

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Query Optimization.

Big Data 321
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What is APM?

Dynatrace

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring.

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Expanding the AWS Cloud: Introducing the AWS Europe (London) Region

All Things Distributed

The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations.

AWS 166