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Reliability indicators that matter to your business: SLOs for all data types

Dynatrace

To provide maximum freedom in selecting the service-level indicators that matter most to your business, Dynatrace combines SLOs with the power of Dynatrace Grail™ data lakehouse, the central data platform with heterogeneous and contextually linked data. This is where Grail, the Dynatrace central data platform, excels.

Metrics 277
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Seamless RDS to DynamoDB Migration: Unlocking Scalability With the Dual Write Strategy

DZone

One of the most effective strategies for migrating data incrementally is the Dual Write approach. This allows you to keep both databases in sync during the transition, minimizing downtime and reducing the risk of data inconsistency. to DynamoDB, a NoSQL, key-value store.

Strategy 278
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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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Low-Maintenance Backend Architectures for Scalable Applications

DZone

Cloud-native environments, microservices, real-time data processing, and global user bases transformed back-end architecture from a simple technical challenge into a strategic business capability. Developers could understand and manage the entire systems intricacies.

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How to Scale Elasticsearch to Solve Your Scalability Issues

DZone

With the evolution of modern applications serving increasing needs for real-time data processing and retrieval, scalability does, too. One such open-source, distributed search and analytics engine is Elasticsearch, which is very efficient at handling data in large sets and high-velocity queries.

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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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Scalable Annotation Service?—?Marken

The Netflix TechBlog

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. But there are more interesting cases where users want to store temporal (time-based) data or spatial data. Movie Entity with id 1234 has violence.