Skip to main content

Image Optimization Best Practices for Device Breakpoints - Part 1

Ari Weil

An effective breakpoint strategy helps deliver sharp, properly sized images, which are some of the most compelling pieces of content on a web page. Lack of such a strategy can lead to jagged images or ones that take too long to render due to excessive size, potentially reducing the overall effectiveness of web pages — and driving down the quality of the user experience.

Creation of derivative images at properly determined breakpoints is critical but often challenging for web developers and designers to achieve. Generating the right number of variants — and at the correct widths and spacings — for their users' critical devices can provide a great balance between byte savings and cache dilution.

While it's true that having too few breakpoints can improve offload, it can also deliver many unused bytes and place an unnecessarily high rendering burden on the device and browser. At the same time, when there are too many breakpoints, it may result in the opposite effect. Finding the right balance mandates some time and resource commitment, but the benefits are truly worth the exercise.

In this 2-part blog, we will explore just how significant image breakpoints are to businesses, and some important device-related factors to consider in image breakpoint decisions — from screen resolution market share and user base, to device characteristics to pixel density — to deliver the optimally-sized web image every time.

The Byte Loss Breakdown

Getting image breakpoints right is especially important at larger image widths. To illustrate, let's look at this example in which a web page is displaying two images that need to be resized by the browser 50 pixels in both height and width:


As you can see, delivering a 200 X 200 pixel (px) image for a 150 X 150 px use case (50 extra pixels in width and height) results in 70,000 wasted bytes required in memory for the browser to display the image than if the image were delivered at 150 X 150 px.

When looking at the larger image example, delivering a 600 X 600 px image instead of a 550 X 550 px use case (still 50 extra pixels in height and width) resulted in 230,000 wasted bytes, or 3.3-times more wasted bytes. This illustrates why it's recommended to have more breakpoints at larger image sizes (in this case, images larger than 700 px in width).

Another example to consider involves displaying images on a typical smartphone, in this case, the Samsung Galaxy S5. This model has a screen resolution of 1080 X 1920 px. Take, for example, a server sending an image of 1200 X 2000 px dimensions that must be resized to 1080 X 1920 px. This would result in more than 1,305,600 bytes — that's 1.3 MB — waste, not to mention a significant degradation in user experience.

Read Image Optimization Best Practices for Device Breakpoints - Part 2, covering 4 tips for getting image breakpoints right.

Hot Topics

The Latest

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

Image Optimization Best Practices for Device Breakpoints - Part 1

Ari Weil

An effective breakpoint strategy helps deliver sharp, properly sized images, which are some of the most compelling pieces of content on a web page. Lack of such a strategy can lead to jagged images or ones that take too long to render due to excessive size, potentially reducing the overall effectiveness of web pages — and driving down the quality of the user experience.

Creation of derivative images at properly determined breakpoints is critical but often challenging for web developers and designers to achieve. Generating the right number of variants — and at the correct widths and spacings — for their users' critical devices can provide a great balance between byte savings and cache dilution.

While it's true that having too few breakpoints can improve offload, it can also deliver many unused bytes and place an unnecessarily high rendering burden on the device and browser. At the same time, when there are too many breakpoints, it may result in the opposite effect. Finding the right balance mandates some time and resource commitment, but the benefits are truly worth the exercise.

In this 2-part blog, we will explore just how significant image breakpoints are to businesses, and some important device-related factors to consider in image breakpoint decisions — from screen resolution market share and user base, to device characteristics to pixel density — to deliver the optimally-sized web image every time.

The Byte Loss Breakdown

Getting image breakpoints right is especially important at larger image widths. To illustrate, let's look at this example in which a web page is displaying two images that need to be resized by the browser 50 pixels in both height and width:


As you can see, delivering a 200 X 200 pixel (px) image for a 150 X 150 px use case (50 extra pixels in width and height) results in 70,000 wasted bytes required in memory for the browser to display the image than if the image were delivered at 150 X 150 px.

When looking at the larger image example, delivering a 600 X 600 px image instead of a 550 X 550 px use case (still 50 extra pixels in height and width) resulted in 230,000 wasted bytes, or 3.3-times more wasted bytes. This illustrates why it's recommended to have more breakpoints at larger image sizes (in this case, images larger than 700 px in width).

Another example to consider involves displaying images on a typical smartphone, in this case, the Samsung Galaxy S5. This model has a screen resolution of 1080 X 1920 px. Take, for example, a server sending an image of 1200 X 2000 px dimensions that must be resized to 1080 X 1920 px. This would result in more than 1,305,600 bytes — that's 1.3 MB — waste, not to mention a significant degradation in user experience.

Read Image Optimization Best Practices for Device Breakpoints - Part 2, covering 4 tips for getting image breakpoints right.

Hot Topics

The Latest

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...