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Cut costs and complexity: 5 strategies for reducing tool sprawl with Dynatrace

Dynatrace

Simplify data ingestion and up-level storage for better, faster querying : With Dynatrace, petabytes of data are always hot for real-time insights, at a cold cost. Worsened by separate tools to track metrics, logs, traces, and user behaviorcrucial, interconnected details are separated into different storage.

Strategy 165
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How Netflix Accurately Attributes eBPF Flow Logs

The Netflix TechBlog

By Cheng Xie , Bryan Shultz , and Christine Xu In a previous blog post , we described how Netflix uses eBPF to capture TCP flow logs at scale for enhanced network insights. FlowCollector consumes a stream of IP address change events from Sonar and uses this information to attribute flow IP addresses in real-time.

AWS 168
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AI-powered DNS request tracking extends infrastructure observability for high quality network traffic

Dynatrace

To extend Dynatrace diagnostic visibility into network traffic, we’ve added out-of-the-box DNS request tracking to our infrastructure monitoring capabilities. Ensure high quality network traffic by tracking DNS requests out-of-the-box. Slower response times can be a sign of a stressed DNS server or network communication issues.

Traffic 264
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Network performance monitoring top of mind for CloudOps teams

Dynatrace

For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. If the network is sluggish, an application may also be slow, frustrating users. Worse, a malicious attacker may gain access to the network, compromising sensitive application data.

Network 246
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How To Design For High-Traffic Events And Prevent Your Website From Crashing

Smashing Magazine

How To Design For High-Traffic Events And Prevent Your Website From Crashing How To Design For High-Traffic Events And Prevent Your Website From Crashing Saad Khan 2025-01-07T14:00:00+00:00 2025-01-07T22:04:48+00:00 This article is sponsored by Cloudways Product launches and sales typically attract large volumes of traffic.

Traffic 86
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Optimizing data warehouse storage

The Netflix TechBlog

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 212
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. What is RabbitMQ? What is Apache Kafka?

Latency 147