Remove Analytics Remove Definition Remove Latency Remove Monitoring
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Latency vs. Throughput: Navigating the Digital Highway

VoltDB

In this fast-paced ecosystem, two vital elements determine the efficiency of this traffic: latency and throughput. LATENCY: THE WAITING GAME Latency is like the time you spend waiting in line at your local coffee shop. All these moments combined represent latency – the time it takes for your order to reach your hands.

Latency 52
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What is API monitoring?

Dynatrace

As a result, API monitoring has become a must for DevOps teams. So what is API monitoring? An application programming interface (API) is a set of definitions and protocols for building and integrating application software that enables your product to communicate with other products and services. What is API Monitoring?

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Observability vs. monitoring: What’s the difference?

Dynatrace

This trend is prompting advances in both observability and monitoring. But exactly what are the differences between observability vs. monitoring? Monitoring and observability provide a two-pronged approach. To get a better understanding of observability vs monitoring, we’ll explore the differences between the two.

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Monitoring Distributed Systems

Dotcom-Montior

Setting up and monitoring these systems was pretty easy compared to today’s standards. There were no dynamic web applications or complex user scenarios to have to monitor. monitoring distributed systems becomes much more difficult to carry out and manage. Onto the next project. What is a Distributed System?

Systems 74
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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Since then, the video pipeline has undergone substantial improvements and broad expansions: Starting with Standard Dynamic Range (SDR) at Standard-Definitions , we expanded the encoding pipeline to 4K and High Dynamic Range (HDR) which enabled support for our premium offering. The requests from the studio side are generally latency-sensitive.

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

This data lands in its original, raw form without requiring schema definition. The result is a framework that offers a single source of truth and enables companies to make the most of advanced analytics capabilities simultaneously. Data lakehouses deliver the query response with minimal latency. Massively parallel processing.

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Adding New Capabilities for Real-Time Analytics to Azure IoT

ScaleOut Software

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52