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

Dynatrace

This leads to a more efficient and streamlined experience for users. Lastly, monitoring and maintaining system health within a virtual environment, which includes efficient troubleshooting and issue resolution, can pose a significant challenge for IT teams. Dynatrace is a platform that satisfies all these criteria.

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Investigation of a Workbench UI Latency Issue

The Netflix TechBlog

Overview At Netflix, the Analytics and Developer Experience organization, part of the Data Platform, offers a product called Workbench. Using this approach, we observed latencies ranging from 1 to 10 seconds, averaging 7.4 The input to stdin is sent to the backend (i.e., We then exported the .har

Latency 210
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Introducing Netflix’s Key-Value Data Abstraction Layer

The Netflix TechBlog

Cassandra serves as the backbone for a diverse array of use cases within Netflix, ranging from user sign-ups and storing viewing histories to supporting real-time analytics and live streaming. This model supports both simple and complex data models, balancing flexibility and efficiency.

Latency 256
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. What is RabbitMQ?

Latency 147
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Managing risk for financial services: The secret to visibility and control during times of volatility

Dynatrace

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. They can accomplish this all while delivering transformation efficiency and economies of scale for IT functions that maintain risk management infrastructure.

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

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Data lakehouses deliver the query response with minimal latency. Reduced redundancy.

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OpenTelemetry 101: A nontechnical guide for IT leaders and enthusiasts

Dynatrace

Traces are used for performance analysis, latency optimization, and root cause analysis. The OpenTelemetry Protocol (OTLP) plays a critical role in this framework by standardizing how systems format and transport telemetry data, ensuring that data is interoperable and transmitted efficiently. Employ efficient sampling.

Latency 264