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Presentation: Azure Cosmos DB: Low Latency and High Availability at Planet Scale

InfoQ

Mei-Chin Tsai, Vinod discuss the internal architecture of Azure Cosmos DB and how it achieves high availability, low latency, and scalability. By Mei-Chin Tsai, Vinod Sridharan

Latency 52
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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively. This significantly increases event latency. Spark Structured Streaming can also provide consistent fault recovery for applications where latency is not a critical requirement.

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Nine ways technology executives can get significant business value with the right observability platform

Dynatrace

Observability data presents executives with new opportunities to achieve this, by creating incremental value for cloud modernization , improved business analytics , and enhanced customer experience. That’s because it does not require any pre-prepared schemas, and access to cold/hot storage is fully automatic and with zero latency.

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The Three Cs: Concatenate, Compress, Cache

CSS Wizardry

What is the availability, configurability, and efficacy of each? ?️ Plotted on the same horizontal axis of 1.6s, the waterfalls speak for themselves: 201ms of cumulative latency; 109ms of cumulative download. 4,362ms of cumulative latency; 240ms of cumulative download. And do any of our previous decisions dictate our options?

Cache 291
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Consistent caching mechanism in Titus Gateway

The Netflix TechBlog

In the time since it was first presented as an advanced Mesos framework, Titus has transparently evolved from being built on top of Mesos to Kubernetes, handling an ever-increasing volume of containers. This blog post presents how our current iteration of Titus deals with high API call volumes by scaling out horizontally.

Cache 224
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Redis® Monitoring Strategies for 2024

Scalegrid

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130
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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

This presents a challenge for IT operations teams, specifically in identifying and addressing performance issues or planning how to prevent future issues. Therefore, we have redesigned this extension from scratch, replacing the previously available WMI-based extension. Hyper-V is essential for the Windows ecosystem.