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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods. Let’s examine some of the drawbacks of this approach: Lack of Idempotency : There is no idempotency key baked into the storage data-model preventing users from safely retrying requests.

Latency 248
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Storage handling improvements increase retention of transaction data for Dynatrace Managed

Dynatrace

Using existing storage resources optimally is key to being able to capture the right data over time. Increased storage space availability. The compression of transaction data older than three days can free up to 50% more storage space in your Dynatrace Managed Cluster. Data compression is completed on June 12.

Storage 246
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages.

Big Data 321
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Top PostgreSQL 17 New Features

Scalegrid

Unlike full backups that duplicate everything, incremental backups store only changes since the last save, reducing storage needs and speeding up recovery. Key Benefits: Smaller Storage Footprint: Saves only modified data, cutting down backup size. How do incremental backups work in PostgreSQL 17? </p>

Speed 130
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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. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130
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Mastering Disk Space Management with MongoDB® Storage Engines

Scalegrid

MongoDB offers several storage engines that cater to various use cases. The default storage engine in earlier versions was MMAPv1, which utilized memory-mapped files and document-level locking. The newer, pluggable storage engine, WiredTiger, addresses this by using prefix compression, collection-level locking, and row-based storage.

Storage 130
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Checksums in Storage Systems and Why the Enterprise Should Care

DZone

It’s really scary knowing that such corruptions are happening in the memory of our computers and servers – that is before they even reach the network and storage portions of the stack. That data must then be safely transported over a network to the storage system where it is written to disk.

Storage 145