You’re probably here because you have worked with video in one way or another. Maybe you are creating video and encode it for later distribution, or maybe you operate a network that handles video — and in that case, probably a lot of it. The quality of videos is one of the most important factors that determines the overall user experience (and the Quality of Experience, QoE) of a video-based application or service. So it’s only natural that you want to measure and optimize the quality of your videos. In this blog post, we will discuss the different ways to measure video quality — both objectively and subjectively — and how to use these measurements to optimize the quality of your videos.
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In today’s hyperconnected world, where streaming video has become an integral part of our daily lives, Internet Service Providers (ISPs) and content providers are engaged in a relentless battle to deliver top-notch video experiences to their customers. However, traditional methods of monitoring video stream quality from the 2000s have found themselves become useless due to HTTPS encryption.
As ISPs strive to ensure seamless streaming, they’ve come to realize that merely measuring encrypted network traffic falls short in providing a true assessment of the viewer’s experience. So, how can ISPs and content providers truly gauge the quality of the videos their customers watch? The answer lies in a measurement setup that puts itself into the position of the viewer. In this post, we explain the background, discuss the solution of encrypted stream monitoring, and finally unravel our technology. We explore why we believe this to be the best possible video quality assessment method and provide some real-life examples. Are you sitting tight?
Let’s dive in.
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It’s good to know when your customers are happy.
Some Head of Customer Retention during the last meeting
It’s absolutely required to know when they are unhappy.
Nobody likes to lose customers. But to prevent that from happening, you have to know what drives churn, and how to avoid it. In this article we focus on why customer churn matters, and how to use QoE measurements to provide predictive maintenance and reduce churn. We crunch some numbers to demonstrate how much impact a small improvement in customer retention may have.
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If you provide an Internet-based service, it is crucial to ensure a high level of availability and quality for your users. Providers have always used Service Level Agreements (SLAs) to define criteria for uptime, latency, and other aspects of quality that can be measured from an application or network perspective.
However, as services become more complex and users demand higher levels of quality, it is becoming increasingly important to also consider user perception in the form of Quality of Experience (QoE). In this article, we’ll explore why combining QoE and SLAs is a perfect match for ensuring optimal service delivery to end-users, and how Surfmeter can help you define and meet your own criteria based on the actual users’ experience.
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There was a time when it was enough to wait for a “load” event to know that a web page was loading. This is no longer the case. As websites become more complex — through media assets or interactive elements — it’s no longer easy to determine the user experience for a browsing session. As part of our vision to provide a single platform for measuring quality of experience, we now support Google Lighthouse web performance metrics. Read on to learn more!
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While video streaming traffic is growing globally, the amount of time spent watching video on mobile devices and smart TVs is increasing year on year, according to various studies. Desktop usage remains stagnant. To understand the quality of video streaming on mobile devices, we need a dedicated solution that gives us detailed insight into the performance and quality of experience of video delivery. Read on to learn more about our new Surfmeter Video Quality SDKs for Android!
Read moreAre you looking for a comprehensive video quality measurement software that helps you ensure quality for your customers? Look no further – AVEQ’s Surfmeter solution is here! In this demo video, we will show you how easy it is to use Surfmeter to measure video quality, web performance, speed tests, and other kinds of network measurements in real-time.
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At AVEQ we’re measuring the performance and quality of web pages, including those that play video. It’s in the nature of those pages that they constantly change — be it minor CSS updates or complete overhauls. To ensure that our measurement solutions keep working as intended, we perform regular tests on those websites to see if anything has changed.
We used to do this manually, which was quite time-consuming and tedious. But then we discovered LambdaTest, a cloud-based cross-browser testing platform that made it easy to automate our tests. In this post we’re going to show you how it saved us plenty of time — and how you can use it.
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Docker is great – run the same code on all machines, no setup needed. So they say. But once you go beyond simple Dockerfiles, things start to change.
We recently had the, uhm, pleasure of trying to dockerize Chrome, ideally with support for DRM content. We thought it would be easy — grab the latest version from Google, unpack it, and done. But it turns out there’s a little more to it than that. Especially when you build for multiple architectures. Because now, there’s not just amd64, there is also arm64 (for Apple Silicon Macs) and armv7l, which Raspberry Pi uses (sometimes called armhf).
In this post, we are going to explore what is needed to create a multi-arch Docker image with Chrome (or Chromium). If you want the TL;DR version: Use Chromium and Debian, which makes it possible to build multiarch images.
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