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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 211
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Document Model Support in DynamoDB: Flexibility, Availability, Performance, and Scale.Together at last

All Things Distributed

We are introducing native support for document model like JSON into DynamoDB, the ability to add / remove global secondary indexes, adding more flexible scaling options, and increasing the item size limit to 400KB. We designed DynamoDB to operate with at least 99.999% availability.

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Dynatrace Managed now available on all major cloud platforms

Dynatrace

Dynatrace Managed now available on the Google Cloud Platform. You’re then presented with the Dynatrace Managed cluster deployment page, which contains basic information about Dynatrace, the solution itself, and a link to our documentation. Name your deployment with a name that’s unique to your active GCP project.

Cloud 222
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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. Choosing the appropriate storage engine can have a significant impact on application performance.

Storage 130
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Using JSONB in PostgreSQL: How to Effectively Store & Index JSON Data in PostgreSQL

Scalegrid

JSON is the most common format used by web services to exchange data, store documents, unstructured data, etc. Note: If a particular key is always present in your document, it might make sense to store it as a first class column. JSONB storage results in a larger storage footprint. Nested objects.

Storage 321
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AWS serverless services: Exploring your options

Dynatrace

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Speed is next; serverless solutions are quick to spin up or down as needed, and there are no delays due to limited storage or resource access. AWS offers four serverless offerings for storage.

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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

Limited data availability constrains value creation. Teams have introduced workarounds to reduce storage costs. Additionally, efforts such as lowered data retention times, two-tiered storage systems, shaky index management, sampled data, and data pipelines reduce the overall amount of stored data.

Analytics 246