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Storage Types Used on Cloud Computing Platforms

DZone

Because of the emergence of cloud services, a broad range of storage choices are now easily available to fulfill the different demands of both organizations and people. These storage alternatives have been designed to meet a range of requirements, including performance, scalability, durability, and price.

Storage 278
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Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

The Grail™ data lakehouse provides fast, auto-indexed, schema-on-read storage with massively parallel processing (MPP) to deliver immediate, contextualized answers from all data at scale. By prioritizing observability, organizations can ensure the availability, performance, and security of business-critical applications.

Cloud 263
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Empowering Developers With Scalable, Secure, and Customizable Storage Solutions

DZone

As a developer, engineer, or architect, finding the right storage solution that seamlessly integrates with your infrastructure while providing the necessary scalability, security, and performance can be a daunting task. Scalability and Flexibility One of the key strengths of StoneFly's offerings is its exceptional scalability.

Storage 189
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The Power of Caching: Boosting API Performance and Scalability

DZone

Caching is the process of storing frequently accessed data or resources in a temporary storage location, such as memory or disk, to improve retrieval speed and reduce the need for repetitive processing. Bandwidth optimization: Caching reduces the amount of data transferred over the network, minimizing bandwidth usage and improving efficiency.

Cache 246
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

This article outlines the key differences in architecture, performance, and use cases to help determine the best fit for your workload. This decoupling simplifies system architecture and supports scalability in distributed environments. Both serve distinct purposes, from managing message queues to ingesting large data volumes.

Latency 147
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Optimizing data warehouse storage

The Netflix TechBlog

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 212
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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

This counting service, built on top of the TimeSeries Abstraction, enables distributed counting at scale while maintaining similar low latency performance. After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods.

Latency 251