Remove Benchmarking Remove Latency Remove Traffic
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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. Apache Kafka uses a custom TCP/IP protocol for high throughput and low latency. However, performance can decline under high traffic conditions.

Latency 147
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Implementing service-level objectives to improve software quality

Dynatrace

Instead, they can ensure that services comport with the pre-established benchmarks. First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users. Latency is the time that it takes a request to be served. Reliability.

Software 306
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Edgar: Solving Mysteries Faster with Observability

The Netflix TechBlog

Edgar captures 100% of interesting traces , as opposed to sampling a small fixed percentage of traffic. Telltale provides Edgar with latency benchmarks that indicate if the individual trace’s latency is abnormal for this given service. Is this an anomaly or are we dealing with a pattern?

Latency 298
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

Netflix shares how Amazon EC2 Auto Scaling allows its infrastructure to automatically adapt to changing traffic patterns in order to keep its audience entertained and its costs on target. In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking.

AWS 38
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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

RUM, however, has some limitations, including the following: RUM requires traffic to be useful. In some cases, you will lack benchmarking capabilities. Because RUM relies on user-generated traffic, it’s hard to indicate persistent issues across the board. connectivity, access, user count, latency) of geographic regions.

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Using simple lookup indices in Cassandra gives us the ability to maintain acceptable read latencies while doing heavy writes.

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Maximizing Performance of AWS RDS for MySQL with Dedicated Log Volumes

Percona

DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads. We performed a standard benchmarking test using the sysbench tool to compare the performance of a DLV instance vs a standard RDS MySQL instance, as shared in the following section.

AWS 117