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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 212
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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 168
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Overseeing SaaS security with AWS AppFabric and Dynatrace

Dynatrace

AWS AppFabric ingests and normalizes audit logs from SaaS applications and delivers them to an Amazon Simple storage service (Amazon S3) bucket in an organization’s AWS account. To learn more, visit the DQL guide documentation. To connect your SaaS applications to AWS AppFabric, follow the getting started documentation.

AWS 248
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Stay in control of your data retention with Dynatrace Grail—from 10 days to 10 years

Dynatrace

This means compromising between keeping data available as long as possible for analysis while juggling the costs and overhead of storage, archiving, and retrieval. Every API call is saved in audit logs to document the complete picture of activities in your environments.

Analytics 216
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SIEM Volume Spike Alerts Using ML

DZone

They offer capabilities for tracking and documenting security incidents from detection to resolution. Volume spikes in log collection result from sudden increases in data, impacting the data ingestion process, impacting the platform at the storage level, and networking.

Storage 136