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Cut costs and complexity: 5 strategies for reducing tool sprawl with Dynatrace

Dynatrace

As an executive, I am always seeking simplicity and efficiency to make sure the architecture of the business is as streamlined as possible. Re-indexing data and rehydrating it from cold storage for incident investigation and forensics causes query latency and additional management overhead and cost.

Strategy 296
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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 251
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

This article outlines the key differences in architecture, performance, and use cases to help determine the best fit for your workload. RabbitMQ follows a message broker model with advanced routing, while Kafkas event streaming architecture uses partitioned logs for distributed processing. What is RabbitMQ? What is Apache Kafka?

Latency 147
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Who will watch the watchers? Extended infrastructure observability for WSO2 API Manager

Dynatrace

Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Cloud-based application architectures commonly leverage microservices. Extend infrastructure observability to WSO2 API Manager.

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Spring WebFlux: publishOn vs subscribeOn for Improving Microservices Performance

DZone

With the rise of microservices architecture , there has been a rapid acceleration in the modernization of legacy platforms, leveraging cloud infrastructure to deliver highly scalable, low-latency, and more responsive services. Why Use Spring WebFlux?

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Foundation Model for Personalized Recommendation

The Netflix TechBlog

This scenario underscored the need for a new recommender system architecture where member preference learning is centralized, enhancing accessibility and utility across different models. Yet, many are confined to a brief temporal window due to constraints in serving latency or training costs.

Tuning 200
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Why Replace External Database Caches?

DZone

Putting an external cache in front of the database is commonly used to compensate for subpar latency stemming from various factors, such as inefficient database internals, driver usage, infrastructure choices, traffic spikes, and so on. This is a clear performance-oriented decision.

Cache 278