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Dynatrace elevates data security with separated storage and unique encryption keys for each tenant

Dynatrace

Enhancing data separation by partitioning each customer’s data on the storage level and encrypting it with a unique encryption key adds an additional layer of protection against unauthorized data access. A unique encryption key is applied to each tenant’s storage and automatically rotated every 365 days.

Storage 246
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Cut costs and complexity: 5 strategies for reducing tool sprawl with Dynatrace

Dynatrace

Simplify data ingestion and up-level storage for better, faster querying : With Dynatrace, petabytes of data are always hot for real-time insights, at a cold cost. Worsened by separate tools to track metrics, logs, traces, and user behaviorcrucial, interconnected details are separated into different storage.

Strategy 296
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Redefining Artifact Storage: Preparing for Tomorrow's Binary Management Needs

DZone

As software pipelines evolve, so do the demands on binary and artifact storage systems. While solutions like Nexus, JFrog Artifactory, and other package managers have served well, they are increasingly showing limitations in scalability, security, flexibility, and vendor lock-in.

Storage 302
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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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Introduction to Azure Data Lake Storage Gen2

DZone

Built on Azure Blob Storage, Azure Data Lake Storage Gen2 is a suite of features for big data analytics. Azure Data Lake Storage Gen1 and Azure Blob Storage's capabilities are combined in Data Lake Storage Gen2. For instance, Data Lake Storage Gen2 offers scale, file-level security, and file system semantics.

Azure 250
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Data Storage Formats for Big Data Analytics: Performance and Cost Implications of Parquet, Avro, and ORC

DZone

One key factor that significantly affects the performance of data processing is the storage format of the data. This article explores the impact of different storage formats, specifically Parquet, Avro, and ORC on query performance and costs in big data environments on Google Cloud Platform (GCP).

Big Data 278
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A Comprehensive Guide: Installing Docker, Running Containers, Managing Storage, and Setting up Networking

DZone

This comprehensive guide will walk you through the crucial steps of setting up networking, managing storage, running containers, and installing Docker. Thanks to Docker, a leading containerization platform, applications can be packaged and distributed more easily in portable, isolated environments.

Storage 285