Remove Benchmarking Remove Latency Remove Monitoring
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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ can be deployed in distributed environments and includes monitoring tools through a built-in dashboard and CLI. Its partitioned log architecture supports both queuing and publish-subscribe models, allowing it to handle large-scale event processing with minimal latency.

Latency 147
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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

As businesses compete for customer loyalty, it’s critical to understand the difference between real-user monitoring and synthetic user monitoring. However, not all user monitoring systems are created equal. What is real user monitoring? Real-time monitoring of user application and service interactions.

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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. In what follows, we explore some of these best practices and guidance for implementing service-level objectives in your monitored environment. Latency is the time that it takes a request to be served. SLOs improve software quality. Reliability.

Software 306
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How BizDevOps can “shift left” using SLOs to automate quality gates

Dynatrace

Quality gates are benchmarks in the software delivery lifecycle that define specific, measurable, and achievable success criteria a service must meet before moving to the next phase of the software delivery pipeline. For example, improving latency by as little as 0.1 latency is the number one reason consumers abandon mobile sites.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. This blog post lists the important database metrics to monitor. Effective monitoring of key performance indicators plays a crucial role in maintaining this optimal speed of operation.

Metrics 130
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Netflix at AWS re:Invent 2019

The Netflix TechBlog

In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. Netflix runs dozens of stateful services on AWS under strict sub-millisecond tail-latency requirements, which brings unique challenges. Thursday?—?December

AWS 38
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Grafana Dashboards: A PoC Implementing the PostgreSQL Extension pg_stat_monitor

Percona

Configuring Grafana For our purposes, the Grafana datasource used in this PoC is also the Postgres data cluster that is generating the data to be monitored. pg_stat_monitor About pg_stat_monitor is a Query Performance Monitoring tool for PostgreSQL. A script executing a benchmarking run: #!/bin/bash