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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 203
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Privacy spotlight: Control compliance in Dynatrace with multiple layers of sensitive data masking

Dynatrace

Masking at storage: Data is persistently masked upon ingestion into Dynatrace. Leverage three masking layers Masking at capture and masking at storage operations exclude targeted sensitive data points. Read more about these options in Log Monitoring documentation.

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An Efficient Object Storage for JUnit Tests

DZone

There are several limitations to store and fetch such data (all restrictions could be found in official documentation ). To resolve the problem it was suggested to find more suitable data storage. One day I faced the problem with downloading a relatively large binary data file from PostgreSQL.

Storage 124
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Cosmos DB as Key Object Store

DZone

Cosmos DB is a multimodal database in Azure that supports schema-less storage. By default, Cosmos DB containers tend to index all the fields of a document uploaded. For key object storage, RU tends to be less, but it still depends on the payload size. Cosmos DB can be a good candidate for a key-value store.

Azure 243
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Tailored access management, Part 2: Onboard users to Grail and AppEngine

Dynatrace

Grant users basic access to AppEngine AppEngine user policy This policy provides basic access to AppEngine to run apps and functions and access the main supporting services (such as the state service, document service, or document sharing). ALLOW app-engine:apps:run WHERE shared:app-id !=

Storage 215
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Azure Storage Queues learns some new tricks

Particular Software

Azure Storage Queues is a basic yet robust queueing service available on the Azure platform. For example, it lacks concepts like topics and subscriptions to build publisher and subscriber topologies—these are capabilities NServiceBus adds on top of Azure Storage Queues. Here’s how it works.

Azure 52
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Privacy spotlight: Retain data in Grail with 1-day precision, for up to 10 years

Dynatrace

Streamline privacy requirements with flexible retention periods Data retention is a critical aspect of data handling, and it’s not just about privacy compliance—it’s about having the flexibility to optimize data storage times in Grail for your Dynatrace use cases. Other data types will be available soon). What’s next?

Storage 170