Remove Architecture Remove Latency Remove Speed
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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. Generative AI enhances response speed and clarity, accelerating incident resolution and boosting team productivity.

Strategy 296
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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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CDNs: Speed Up Performance by Reducing Latency

DZone

Upload files with HTML Upload files with JavaScript Receive uploads in Node.js (Nuxt.js) Optimize storage costs with Object Storage Optimize performance with a CDN Secure uploads with malware scans Today, we’ll do more architectural work, but this time it’ll be focused on optimizing performance.

Latency 195
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Introducing Impressions at Netflix

The Netflix TechBlog

Architecture Overview The first pivotal step in managing impressions begins with the creation of a Source-of-Truth (SOT) dataset. Impression Source-of-Truth architecture Ensuring High Quality Impressions Maintaining the highest quality of impressions is a top priority.

Tuning 166
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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. This significantly increases event latency.

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Optimizing your Kubernetes clusters without breaking the bank

Dynatrace

The Akamas vision is that only an autonomous optimization approach powered by AI can effectively enable performance engineers, SREs, and architects to identify the best configurations that ensure maximum service performance and resilience, at the lowest possible cost and at business speed. below 500ms) and error rates (e.g. lower than 2%.).

Latency 246
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Analyze OpenTelemetry traces and log data at scale: Accelerate troubleshooting and optimize application performance

Dynatrace

Trace your application Imagine a microservices architecture with hundreds of dependencies. Without distributed tracing, pinpointing the cause of increased latency could take hours or even days. Interact with data intuitively and easily and benefit from immediate, AI-supported insights. The same is true when it comes to log ingestion.