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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

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Comparing Approaches to Durability in Low Latency Messaging Queues

DZone

A significant feature of Chronicle Queue Enterprise is support for TCP replication across multiple servers to ensure the high availability of application infrastructure. Little’s Law and Why Latency Matters. In many cases, the assumption is that as long as throughput is high enough, the latency won’t be a problem.

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Next-level interaction and customization of data visualizations in Dynatrace Dashboards and Notebooks

Dynatrace

Take your monitoring, data exploration, and storytelling to the next level with outstanding data visualization All your applications and underlying infrastructure produce vast volumes of data that you need to monitor or analyze for insights. Infrastructure health: A honeycomb chart is often used to visualize infrastructure health.

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Cloud infrastructure monitoring in action: Dynatrace on Dynatrace

Dynatrace

A critical component to this success was that the Dynatrace Team itself uses the Dynatrace Platform to monitor every single Dynatrace cluster in the cloud and trusts the Dynatrace Davis AI to alert in case there are any issues, either with a new feature, a configuration change or with the infrastructure our servers are running on.

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Who will watch the watchers? Extended infrastructure observability for WSO2 API Manager

Dynatrace

Sure, cloud infrastructure requires comprehensive performance visibility, as Dynatrace provides , but the services that leverage cloud infrastructures also require close attention. Extend infrastructure observability to WSO2 API Manager. High latency or lack of responses. Soaring number of active connections.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

Its partitioned log architecture supports both queuing and publish-subscribe models, allowing it to handle large-scale event processing with minimal latency. Kafka clusters can be deployed in Kubernetes using Helm charts to simplify scaling and management across multiple servers.

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Optimize Citrix platform performance and user experience with Dynatrace (GA)

Dynatrace

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace Extension: database performance as experienced by the SAP ABAP server. OneAgent: Citrix infrastructure performance. SAP server. Citrix VDA.

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