Remove Exercise Remove Metrics Remove Monitoring Remove Processing
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Ensuring the Successful Launch of Ads on Netflix

The Netflix TechBlog

Next, we launched a Mantis job that processed all requests in the stream and replayed them in a duplicate production environment created for replay traffic. The Mantis query language allowed us to set the percentage of replay traffic to process. We continued ramping up and eventually reached 100% replay.

Traffic 342
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels. This approach has a handful of benefits.

Traffic 339
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Building High-Quality Software

DZone

It’s much better to build your process around quality checks than retrofit these checks into the existent process. NIST did classic research to show that catching bugs at the beginning of the development process could be more than ten times cheaper than if a bug reaches production. Metrics abstract you away from all details.

Software 245
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DynaWine: Transform faster with automation and AI

Dynatrace

Even the wine industry heavily utilizes monitoring, automation, and AI to produce the drink we all love. Fermentation process: Steve Amos, IT Experience Manager at Vitality spoke about how the health and life insurance market is now busier than ever. The primary theme of the event was transforming faster with automation and AI.

Speed 163
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Percona Is Introducing Telemetry Mechanisms Into MySQL, PostgreSQL, and MongoDB

Percona

Back in 2020, we set out to learn more about how Percona Monitoring and Management (PMM) was being used in order to provide a better product to the community. These articles will also help you understand how to opt out from the telemetry, how it is being sent to Percona, and how you can exercise your data owners’ rights.

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Using SLOs to become the optimization athlete with Dynatrace

Dynatrace

You’ll learn how to create production SLOs, to continuously improve the performance of services, and I’ll guide you on how to become a champion of your sport by: Creating calculated metrics with the help of multidimensional analysis. Metric 2: number of requests in error. Let’s start by creating a dashboard to follow our metrics.

Metrics 167
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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? RUM gathers information on a variety of performance metrics.