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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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Efficient Multimodal Data Processing: A Technical Deep Dive

DZone

Multimodal data processing is the evolving need of the latest data platforms powering applications like recommendation systems, autonomous vehicles, and medical diagnostics. Handling multimodal data spanning text, images, videos, and sensor inputs requires resilient architecture to manage the diversity of formats and scale.

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Business process observability: An IT solution to a business challenge

Dynatrace

Business processes support virtually all aspects of an organizations operations. Theyre often categorized by their function; core processes directly create customer value, support processes increase departmental efficiency, and management processes drive strategic goals and compliance.

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Catching up with OpenTelemetry in 2025

Dynatrace

In fact, observability is essential for shaping how we design smarter, more resilient systems for the future. As an open-source project, OpenTelemetry sets standards for telemetry data sets and works with a wide range of systems and platforms to collect and export telemetry data to backend systems. milestone.

Tuning 310
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OpenPipeline: Simplify access to critical business data

Dynatrace

There’s a goldmine of business data traversing your IT systems, yet most of it remains untapped. Other data sources, including APIs and log files — are used to expand access, often to external or proprietary systems. Dynatrace OpenPipeline is a new stream processing technology that ingests and contextualizes data from any source.

Analytics 241
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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

After selecting a mode, users can interact with APIs without needing to worry about the underlying storage mechanisms and counting methods. Failures in a distributed system are a given, and having the ability to safely retry requests enhances the reliability of the service.

Latency 251
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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. On the other hand, these optimizations themselves need to be sufficiently inexpensive to justify their own processing cost over the gains they bring.

Storage 212