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

Dynatrace

Dynatrace continues to deliver on its commitment to keeping your data secure in the cloud. 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.

Storage 246
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Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. At this year’s Microsoft Ignite, taking place in Chicago on November 19-22, attendees will explore how AI enables and accelerates organizations throughout their cloud modernization journeys.

Cloud 263
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Storage Types Used on Cloud Computing Platforms

DZone

Cloud computing platforms have fundamentally altered how organizations access and manage data. 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.

Storage 278
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Dynatrace Cloud Security Posture Management elevates cloud security with real-time compliance across hyperscalers

Dynatrace

We’re excited to announce the expansion of the Dynatrace security portfolio with new Cloud Security Posture Management (CSPM) capabilities. Cloud environments are vast and constantly evolving, making manual identification of misconfigurations virtually impossible. million annually per organization. The solution?

Cloud 130
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Automating Twilio Recording Exports for Quality Purposes: Python Implementation Guidelines

DZone

Twilio is a call management system that provides excellent call recording capabilities, but often organizations are in need of automatically downloading and storing these recordings locally or in their preferred cloud storage. However, downloading large numbers of recordings from Twilio can be challenging.

Storage 242
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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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Dynatrace + Metis: Helping developers & SREs solve Database issues with AI

Dynatrace

And with cloud-native databases like PostgreSQL and MySQL, the complexity only grows. A shared vision At Dynatrace, weve built a comprehensive observability platform that already includes deep database visibility, the Top Database Statements view, and Grail for unified data storage and analysis.

Database 306