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Artificial Intelligence in Cloud Computing

Scalegrid

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. 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.

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What is Cloud Computing? According to ChatGPT.

High Scalability

Explain cloud computing to me at a professional level? Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. Another key benefit of cloud computing is its reliability and availability. Which cloud provider would you recommend?

Cloud 201
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Article: Magic Pocket: Dropbox’s Exabyte-Scale Blob Storage System

InfoQ

A horizontally scalable exabyte-scale blob storage system which operates out of multiple regions, Magic Pocket is used to store all of Dropbox’s data. Adopting SMR technology and erasure codes, the system has extremely high durability guarantees but is cheaper than operating in the cloud. By Facundo Agriel

Storage 113
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Dynatrace and Google unleash cloud-native observability for GKE Autopilot

Dynatrace

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. First, we create a small Kubernetes cluster in the Google Cloud Console. Agent logs security.

Google 243
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Enterprise Cloud Security Strategy For 2024

Scalegrid

What does strong enterprise cloud security entail, and how can you achieve it? With the prevalence of cyber threats and regulatory pressures, safeguarding your enterprise’s cloud infrastructure is more critical than ever. As more and more enterprises incorporate cloud-based systems, ensuring their security becomes a key concern.

Strategy 130
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From syslog to AWS Firehose: Dynatrace log management innovations that enhance observability

Dynatrace

Another customer based in Germany, a $23 billion medical technology company, told us they appreciate the value of using a native channel to push syslog messages from network devices directly to Dynatrace, bypassing the need for FluentD or a standalone OpenTelemetry collector.

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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. This article will explore how these technologies can be used together to create an optimized data pipeline for data processing in the cloud.

Azure 246