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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. The Current Landscape: Artifact and Package Manager Solutions There are several leading artifact and package management systems today, each with its own strengths and limitations. Let’s explore the key players:

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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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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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 208
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Storage handling improvements increase retention of transaction data for Dynatrace Managed

Dynatrace

One main advantage of using a product in SaaS mode is the automatic scaling of resources based on system load. Using existing storage resources optimally is key to being able to capture the right data over time. Increased storage space availability. Compression of data that’s older than three days utilizes one virtual CPU.

Storage 246
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Build systems more reliably with Dynatrace: Chaos Engineering

Dynatrace

These releases often assumed ideal conditions such as zero latency, infinite bandwidth, and no network loss, as highlighted in Peter Deutsch’s eight fallacies of distributed systems. With Dynatrace, teams can seamlessly monitor the entire system, including network switches, database storage, and third-party dependencies.