CSS Wizardry
NOVEMBER 3, 2020
When first working on a new site-speed engagement, you need to work out quickly where the slowdowns, blindspots, and inefficiencies lie. For example, my site has a homepage, content pages (e.g. Now, let’s move on to gaps between First Contentful Paint and Speed Index. The PLP, however, does show a difference between the two.
Dynatrace
DECEMBER 6, 2022
The COVID-19 pandemic accelerated the speed at which organizations digitally transform — especially in industries such as eCommerce and healthcare — as expectations for a great customer experience dramatically increased. For example, an organization that prioritizes transformation often features more cross-functional collaboration.
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Scalegrid
DECEMBER 21, 2023
Selecting the right tool plays an important role in managing your strategy correctly while ensuring optimal performance across all clusters or singularly monitored redistributions. Examples include slow command execution time which leads to poor latency and increased memory usage.
Speed Curve
JANUARY 29, 2024
In the fourteen years that I've been working in the web performance industry, I've done a LOT of research, writing, and speaking about the psychology of page speed – in other words, why we crave fast, seamless online experiences. In fairness, that was in the early 2000s, and site speed was barely on anyone's radar. Is that fair?
CSS Wizardry
OCTOBER 16, 2023
Given that 66% of all websites (and 77% of all requests ) are running HTTP/2, I will not discuss concatenation strategies for HTTP/1.1 In our specific examples above, the one-big-file pattern incurred 201ms of latency, whereas the many-files approach accumulated 4,362ms by comparison. in this article. That’s almost 22× more!
Dynatrace
JANUARY 11, 2023
For example, over the past few years, a restaurant chain that operates in multiple locations has experienced an increase in mobile orders. An example is an online order and a fulfillment process that includes contact center support. Business analytics data use case 1: Integrating third-party data.
Dynatrace
APRIL 8, 2020
Any significant reduction in allocations will inevitably speed up your code. As you can see in the example below, CPU usage rises just as CPU consumption by garbage collection rises. Nearly all garbage collection strategies are well suited for such a scenario; they do their job well and are fast. Save on CPU resources.
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