Remove Availability Remove Speed Remove Tuning
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Site-Speed Topography

CSS Wizardry

When first working on a new site-speed engagement, you need to work out quickly where the slowdowns, blindspots, and inefficiencies lie. In a separate sheet—available at the same link as before —I’ve simply graphed the data by page type. Now, let’s move on to gaps between First Contentful Paint and Speed Index.

Speed 337
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Introducing Impressions at Netflix

The Netflix TechBlog

This dual-path approach leverages Kafkas capability for low-latency streaming and Icebergs efficient management of large-scale, immutable datasets, ensuring both real-time responsiveness and comprehensive historical data availability. Thus, all data in one region is processed by the Flink job deployed within thatregion.

Tuning 165
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Power Dashboarding, Part I: Start your exploration journey with Dashboards

Dynatrace

Whether you’re a seasoned IT expert or a marketing professional looking to improve business performance, understanding the data available to you is essential. As you went through these steps, you likely noticed some of the chart options available. Also, explore additional dashboards available on the Dynatrace Playground.

Metrics 243
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Its design prioritizes high availability and efficient data transfer with minimal overhead, making it a practical choice for handling real-time data pipelines and distributed event processing. It follows a push-based approach, ensuring messages are distributed to consumers as soon as they become available.

Latency 147
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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Optimized fault recovery We’re also interested in exploring the potential of tuning configurations to improve recovery speed and performance after failures and avoid the demand for additional computing resources. In Kafka Streams, a large configuration space is available for potential optimizations.

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Optimizing your Kubernetes clusters without breaking the bank

Dynatrace

However, setting the right parameters for Kubernetes clusters to ensure application availability, performance, and resilience while avoiding overspending isn’t a walk in the park. Tuning thousands of parameters has become an impossible task to achieve via a manual and time-consuming approach. The Akamas approach. Additional resources.

Latency 246
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MySQL High Availability Framework Explained – Part II: Semisynchronous Replication

Scalegrid

In Part I , we introduced a High Availability (HA) framework for MySQL hosting and discussed various components and their functionality. Semisynchronous replication, which is natively available in MySQL, helps the HA framework to ensure data consistency and redundancy for committed transactions.