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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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New Prometheus-based extensions enable intelligent observability for more than 200 additional technologies

Dynatrace

This allows teams to extend the intelligent observability Dynatrace provides to all technologies that provide Prometheus exporters. Without any coding, these extensions make it easy to ingest data from these technologies and provide tailor-made analysis views and zero-config alerting. documentation.

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Monitor your technology stack with Dynatrace and Amazon Managed Service for Prometheus

Dynatrace

Prometheus components include client libraries for application code instrumentation, special-purpose exporters for popular services, and the optional Prometheus server for orchestrating service discovery and data storage. Dynatrace support for AMP. Dynatrace now provides support for the Amazon Managed Service for Prometheus.

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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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File systems unfit as distributed storage backends: lessons from ten years of Ceph evolution

The Morning Paper

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19.

Storage 64
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Building an Optimized Data Pipeline on Azure Using Spark, Data Factory, Databricks, and Synapse Analytics

DZone

This article will explore how these technologies can be used together to create an optimized data pipeline for data processing in the cloud. It provides built-in connectors for various data sources such as databases, file systems, cloud storage, and more.

Azure 246
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Managing risk for financial services: The secret to visibility and control during times of volatility

Dynatrace

Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions. Mission-critical risks in banking Dynatrace brings a flexible, easy-to-implement, and vertically integrated technology solution to risk management for banks.

Analytics 197