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Cloud Automation workshop roadshow: Kick-off

Dynatrace

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. Developers can define which metrics (=SLIs) they are interested in while DevOps & SREs stay in control of the criteria (=SLOs) that allow changes to be deployed into production.

Cloud 212
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Bringing AV1 Streaming to Netflix Members’ TVs

The Netflix TechBlog

The specification of AV1 was published in 2018. With multiple iterations, the team arrived at a recipe that significantly speeds up the encoding with negligible compression efficiency changes. Besides speeding up the encoder, the total CPU hours could also be reduced if we can use compute resources more efficiently.

Media 246
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Average Page Load Times for 2020 – Are you faster?

MachMetrics

Similar to our article Average Page Load Times for 2018 , we’ll go over the averages for metrics and help you determine if your site is faster or slower than average. By analyzing the data from Backlinko.com and their Page Speed Stats article, we’ll look to answer these questions: What size should be a website be?

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Percona Database Performance Blog 2018 Year in Review: Top Blog Posts

Percona

Let’s look at some of the most popular Percona Database Performance Blog posts in 2018. With the Percona Database Performance Blog, Percona staff and leadership work hard to provide the open source community with insights, technical support, predictions and metrics around multiple open source database software technologies.

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How AI Solves the Kubernetes Complexity Conundrum

Dynatrace

In a 2018 Cloud Native Computing Foundation (CNCF) survey of 5,000 enterprises , 40% of enterprises (5,000+ employees) said they were running Kubernetes in production and 58% of all respondents were using it in production. And that has knock-on effects, hurting everything from performance to user experience to production deployment speed.

DevOps 198
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How to use Server Timing to get backend transparency from your CDN

Speed Curve

However, that pesky 20% on the back end can have a big impact on downstream metrics like First Contentful Paint (FCP), Largest Contentful Paint (LCP), and any other 'loading' metric you can think of. Charlie Vazac introduced server timing in a Performance Calendar post circa 2018. I mean, why wouldn't we?

Servers 57
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Fostering a Web Performance Culture

Jos

presented in Google IO 2018 ( source ) These tools make it easier to determine where we need to put emphasis to improve our sites. Also, the speed of my internet connection is humongous and I’m close to data centres located in Stockholm and London. One could argue this is a metric-driven decision. A screenshot of Lighthouse 3.0,