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Microsoft Azure digital transformation: Embracing the power of cloud technology with next-gen observability

Dynatrace

To make this happen, enterprises are shifting an unprecedented volume of workloads onto cloud platforms such as Microsoft Azure. How Azure digital transformation helps There are three ways that Microsoft Azure can help organizations do more with less when it comes to organizations’ digital transformation journeys. Optimization.

Azure 169
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Building an Optimized Data Pipeline on Azure Using Spark, Data Factory, Databricks, and Synapse Analytics

DZone

Data processing in the cloud has become increasingly popular due to its scalability, flexibility, and cost-effectiveness. Ingesting Data With Azure Data Factory Azure Data Factory is a cloud-based data integration service enabling you to ingest data from various sources into a cloud-based data lake or warehouse.

Azure 246
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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130
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How to solve the challenges of multicloud AWS, Azure and GCP observability

Dynatrace

Versatile, feature-rich cloud computing environments such as AWS, Microsoft Azure, and GCP have been a game-changer. Keeping track of performance, response time, and efficiency can be cumbersome, especially when teams use a multicloud strategy that spans cloud environments and on-premises systems. The benefit is scalability.

Azure 170
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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52
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What is container as a service? How CaaS compares to PaaS, IaaS, and FaaS

Dynatrace

The containerization craze has continued for enterprises, with benefits such as portability, efficiency, and scalability. These containers are software packages that include all the relevant dependencies needed to run software on any system. Easy scalability. million in 2020. Managed orchestration. Serverless container services.

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Artificial Intelligence in Cloud Computing

Scalegrid

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. AI models integrated into cloud systems offer flexibility, enable agile methodologies, and ensure secure systems.