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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 111
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Zendesk Moves from DynamoDB to MySQL and S3 to Save over 80% in Costs

InfoQ

Zendesk reduced its data storage costs by over 80% by migrating from DynamoDB to a tiered storage solution using MySQL and S3. The company considered different storage technologies and decided to combine the relational database and the object store to strike a balance between querybility and scalability while keeping the costs down.

Storage 134
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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. Exploring artificial intelligence in cloud computing reveals a game-changing synergy.

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Expanding the AWS Cloud: Introducing the AWS US East (Ohio) Region

All Things Distributed

The Ohio Region is the fifth AWS region in the US. It brings the worldwide total of AWS Availability Zones (AZs) to 38, and the number of regions globally to 14. The pace of expansion at AWS is accelerating, and Ohio is our third region launch this year. Check out the Regional Products and Services page for the full list.

AWS 127
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Kubernetes in the wild report 2023

Dynatrace

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Most Kubernetes clusters in the cloud (73%) are built on top of managed distributions from the hyperscalers like AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). Java, Go, and Node.js

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AWS EKS Monitoring as a Self-Service with Dynatrace

Dynatrace

PostgreSQL & Elastic for data storage. AWS EKS for Integration and Production. When focusing on the LanguageController service we learn that it’s currently deployed in three pods across three EKS nodes across two AWS Availability Zones (AZ). 4 AWS EFS monitoring. NGINX as an API Gateway. REDIS for caching.

AWS 128
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage. An additional implication of a lenient sampling policy is the need for scalable stream processing and storage infrastructure fleets to handle increased data volume. Storage: don’t break the bank!