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Whether you are an eCommerce company planning for Black Friday or a ticket hub selling for a top artist, periods of traffic spikes can be a “happy problem” or a way to lose business. It can be challenging to prepare your infrastructure to handle 

, despite the best “planned” chaos engineering and stress testing.

IT teams may have difficulty justifying ramping up back-end resources and reworking special features and functions for a short period of time when budgets could be applied to year round gains. On the other hand, online businesses cannot afford 

 since customers will drop off and may not come back at all if the website crashes. On average, the top ten US eCommerce sites (outside of Amazon) can lose about 

 and this number could rise exponentially during a key event.


Many companies have relied on virtual waiting rooms, only to be faced with 

crashes, endless looping queues, and failures at scale

 while using significant and costly infrastructure resources. In this blog, we will talk about a new approach to virtual waiting rooms that keep customers engaged and websites up and running even during high traffic events.

Intelligent virtual waiting rooms manage traffic and drive demand

 act like "digital bouncers" carefully controlling entry when traffic surges to ensure excellent performance and reliability. When demand exceeds capacity, an intelligent virtual waiting room acts as a buffer between users and origin services and holds users in a queued "lobby" and then grants access at a measured pace to avoid overloading. This prevents crashes, maintains uptime, and improves the user experience. Key features include organized queue management, access metering, and custom branding during waits, providing a controlled entry point that manages 

By strategically deploying an intelligent virtual waiting room, businesses can smoothly absorb traffic variability without expensive over-provisioning. The welcome lobby could be personalized with interesting videos or other content, while letting the customer know their place in the queue and the time they have left before entry. 

 show in traditional store settings, customers are 20% more likely to buy if they are greeted within minutes of their arrival. The personalized virtual waiting room is akin to an in-person champagne welcome that can make the wait time pleasurable and set the stage for the service or buying process. The key is customers need assurance on their place in line and visibility into their progress as they invest their time.

The positive side effect on sales conversions

One great benefit of intelligent virtual waiting rooms is that you are actually pre-qualifying your shoppers by placing them in a queue. Those who stay are more likely to purchase, providing a higher conversion rate. There are some interesting psychological and economical principles that a waiting room can leverage.

People assign more value to things that are rare or dwindling in availability, as the harder something is to acquire, the more people want it. The fear of missing out on a scarce chance makes us not want to pass it up, as the potential regret drives action. American psychologist and author, 

, lists scarcity as one of six key influencers of human behavior due to our instinct to value rare opportunities. Let’s not forget that 

 are based on how we feel, so the psychology of human behavior plays a huge role.

Insights for service optimization and better personalization

Intelligent virtual waiting rooms offer a wealth of insights into customer behavior. By tracking key metrics in real time and analyzing trends over time, companies gain invaluable data to optimize the 

. These services can shed light on metrics including:

Number of users in queue - Understand traffic volumes and plan staffing for spikes.

Average wait times - Monitor if delays remain reasonable or risk abandonment.

Abandonment rate - Identify pain points causing drop-offs.

Content views - See which content and offers resonate by view frequency and duration.

Survey results - Gauge engagement and preferences through response rates and feedback.

Look at the intelligent virtual waiting room as an extension of the customer experience, the company brand and the promotion or event marketing. The virtual lobby becomes a feedback loop for continual optimizations driven by real user signals.

Intelligent virtual waiting rooms enable a streamlined experience as users move through the queue. When a user first arrives at the waiting room page, they receive real-time updates showing estimated wait times and the number of users ahead of them in line. Progress bars and countdown timers keep them engaged as they move up in the queue. Right before reaching the front, users may see a quick “Get ready!” or whatever tailored message suits your brand or purpose, allowing time to refresh the page. Then, they are automatically granted access through a redirect to the origin website. Companies and agencies can really tailor the experience to their audience, or specific customers based on past data.

For example, a motor vehicle queue on the last day of the month (when service requests are high) could promote safety events, make citizens aware of new laws, or even provide low-cost insurance options. Based on the IP address, they could also share nearby construction plans for roads and have them sign up for updates. The idea is to find useful and interesting information while they are waiting and have the waiting room an extension of the company’s or agency’s site and customer/citizen experience.

To prevent overloading the target servers, duplicate requests are detected and handled by holding those users at their current spot instead of letting them jump the line with a fresh request. Behind the scenes traffic is metered to maximize fulfillment rates. This seamless workflow allows the service to manage demand and maintain optimal performance in the background, creating a 

Upholding fairness with the FIFO method and more

Maintaining an equitable and consistent experience is crucial for customer satisfaction. Intelligent virtual waiting rooms optimize access through advanced algorithms that queue users fairly based on configurable policies like First-In-First-Out (FIFO) or a random option. This prevents users from unfairly jumping the line while still allowing businesses to tailor the workflow to their needs.

 could prioritize users who have already invested time filling a shopping cart, so they don't lose their effort by dropping out of the queue. Or concert venues could randomly assign placement to give everyone an equal shot at the best seats.

, players can be placed in different segments of the queue based on the assessed skill levels. The queue could be dynamically adjusted based on the number of players online or the demand for matches.

The customizable queue placement models ensure resources are distributed fairly using access rules tailored to the specific business use case. Intelligent virtual waiting rooms deliver optimization through flexible, user-centric service policies that maintain fairness.

Effective DDoS attack defense and thwarting ticket bots

Intelligent virtual waiting rooms also contribute to thwarting 

 and related malicious activity. During large events, bad actors will try to slip through the chaos and send thousands to millions of requests, perhaps as a distraction while they try other criminal activity like fraud. Here are some possible examples to watch out for:

eCommerce/Retail: In certain parts of the world, these attacks tend to intensify from October to December, leveraging legitimate holiday traffic as camouflage for malicious activities like purchasing highly sought items and reselling for profit on another site.

Ticketing/Events: For high-demand concerts, attackers may attempt to overwhelm the website right as tickets go on sale, allowing them to scalp those tickets at inflated prices.

: During peak travel booking periods, DDoS attacks could be used to overwhelm sites to scoop up limited inventory for resale at higher prices. Major holidays and popular destinations would be potential targets.

Public Sector: DDoS attacks may be launched to disguise fraudulent electronic tax filings or identity theft attempts. The distraction provides cover for their crimes.

By controlling incoming traffic and filtering out suspicious requests, intelligent virtual waiting rooms act as a formidable defense against DDoS attacks, safeguarding the integrity and availability of online platforms. They also let 

, DevSecOps, and Security teams focus on fraud prevention activities vs. traffic control.

PhotonIQ’s Virtual Waiting Rooms (VWRs)

 deliver lightning-fast response times and low latency surge protection for eCommerce, event, travel, gaming, 

, and public sector. Powered by AI, VWRs act as an intelligent gatekeeper, carefully controlling the flow of visitors entering a website. The queuing and access rules of the VWRs are fully programmable, and can be configured based on a variety of criteria like backend server loads, suspicious visitor patterns, visitor thresholds, geographic regions, traffic spike alerts, or other defined conditions.

Advanced routing can recognize previous customers, send suspected bad 

 to looping queues, or deliver cached versions of a site to 

 crawlers without hitting the origin. Create fast seamless access anywhere in the world, and sort through criteria at edge speed with intelligent, AI-driven mechanisms. Use key metrics like request success rate, origin service utilization, duplicate request rate, and peak queue length to optimize settings and customer experiences.

Leverage fully programmable visitor prioritization

Organizations can create custom queues based on fair access, region, geolocation-based queuing, requests per second and more.

Make fair access simple with multiple options

There are multiple queue options for traffic control; FIFO, random, or lottery. While FIFO is popular, random or lottery may be a good choice for major events like Super Bowl or cricket World Cup tickets, considering people may not have the exact same connection speed. Let’s talk about how all three options work.


FIFO (First In First Out) queues order users based on their arrival time. The first users into the queue will be the first ones granted access to the site when capacity opens up. This is a fair and intuitive approach - users can trust their initial queue position based on when they showed up. No one can jump the line.

In random mode, users are assigned a random position in the queue when they arrive, rather than being sequenced strictly first-come, first-served. Random mode can help reduce the "early bird advantage" where the fastest clickers always get first access. It gives everyone an equal random chance regardless of arrival time.

Lottery mode assigns users random positions, but only allows a subset to enter, similar to a lottery drawing. This creates artificial scarcity and inserts an element of probability into the queue experience to drive demand, like limited-entry raffles. While limiting entry, lottery mode gives all users an equal randomly-determined chance rather than rewarding those with the fastest internet connection or closest geographic proximity.

Strategic queue segmentation by region, domain, and requests per second

For global or multi-regional organizations, the ability to customize queues by geography or domain is critical. Rather than a one-size-fits-all queue, smart queue configuration allows tailored experiences.

For example, during a major SaaS product launch, companies may want to group users into queues by region to receive localized messaging. Setting up queues by domain could also ensure customers from high-priority markets get early access. For events like 

 with localized demand spikes, selective regional queuing reduces disruption. Traffic from North America could be queued, while other continents proceed normally.

PhotonIQ enables this flexible queue segmentation with multi-domain support and multi-origin capabilities. Separate queues can be created for different domains per origin backend. Having multiple origins allows virtual waiting rooms to route and queue traffic across different backend infrastructure to ensure scale, performance, and resiliency. With support for diverse origin types like web servers, databases, CDNs etc, multi-origin capabilities provide advanced traffic shaping and delivery optimization. These intelligent capabilities provide “extra insurance” to maintain uptime - even during periods of extreme scale.

Some organizations may choose "requests per second rate" as criteria to identify their most engaged users. This parameter empowers the system to distribute resources and prioritize individuals according to their interaction frequency, thereby enabling personalized resource distribution and the enhancement of user experiences. This is a way to make sure organizations get the most ROI out of their resources, while rewarding the most loyal and engaged customers.

Deliver optimal performance with AI-powered Intelligent Flow Control

Within VWRs, an Intelligent Flow Control mechanism ensures the smooth operation of origin services. This mechanism continuously adjusts the rate of dequeuing requests based on the desired traffic pattern. It consists of these parts: proportional, integral, and derivative control to manage the difference between configured limits and actual user counts, adapting the dequeue rate to maintain server stability.

The proportional dequeue rate dynamically adjusts based on the difference between the configured limit and actual user/request numbers, slowing the entry rate if the actual is too high. The Integral calculates the accumulated difference between the configured limit and actual user/request numbers over time, adjusting the entry rate to compensate if the origin was consistently overloaded. The derivative adjusts the dequeue rate based on the rate of change in the difference between the configured limit and actual user numbers, preemptively slowing entry if user counts are rapidly increasing.

Thwart bad bots and give good SEO bots cached content

WIth VWRs, you can prevent DDoS and the bad bot chaos they ensue by filtering suspicious traffic and limiting the number of users that can access a website at any given time. Stop bad bots in their tracks by identifying them vs real people with PhotonIQ Digital Fingerprinting that is integrated with VWRs. Create different types of 

 for different kinds of traffic; cached sites for SEO crawlers, and a 

 for bad bots where they can’t take resources away from the origin. Even previously unknown bad bots can be identified by their activity and characteristics with PhotonIQ Digital Fingerprinting, so they can’t waste resources.

Take a privacy-first “cookieless” approach

 to improve customer experiences. Track users across sessions, browsers, and devices - without cookies or logins. This ensures that organizations can understand their waiting room visitors, all while respecting their privacy and adhering to local and regional laws.

What are you waiting for - optimize website experiences today!

The PhotonIQ Virtual Waiting Rooms emerges as a powerful tool to enhance user experiences and ensure the reliability of online services. By proactively managing traffic, preventing overloads, and offering insights into user behavior, these intelligent services enable businesses to navigate high-demand periods seamlessly. Moreover, their role in countering DDoS attacks and maintaining optimal server performance showcases their indispensable role in today's digital landscape. With their ability to balance user access, fairness, and metrics-driven optimization, VWRs are an essential asset for businesses striving to deliver exceptional online experiences.

Easily get up and running in 60 days or less!

Learn how PhotonIQ Virtual Waiting Rooms offers AI intelligence to ensure a fast and seamless customer experience with careful management of resources to prevent overloading. Digital fingerprinting lets you identify repeat or new customers to personalize experiences and place bots in a separate queue. Contact an 

to learn more today or view it in action in an on-demand virtual workshop!

  Virtual Waiting Rooms: Improve User Experience & Reliability 

For today’s digital businesses, fast website performance is no longer optional — it’s a competitive necessity. With impatient users and rivals just a click away, sluggish and clumsy experiences drive customers to leave. Conversions plummet. Revenue is lost.

Extensive research confirms the tangible connection between site performance and bottom-line business metrics:

Conversion rates are 3x higher on sites loading in just 1 second compared to those requiring 5 seconds. (

Almost 70% of consumers indicate that page speed affects their likeliness to buy (

0.1s site speed improvement leads to 8.4% conversion rate increase, an increase in average order value of 9.2%.(

50% of visitors abandon a website if it takes more than 6 seconds to load (

 demonstrably impacts conversion rates, customer satisfaction, and revenues. Users demand near-instant page loads and seamless browsing. Lagging on speed is no longer an option if you want to attract and retain customers.

So what constitutes a fast experience in today’s multi-device web? Here are a few key metrics:

 consistently across desktop and mobile is the new baseline to please customers. Of course, actually delivering these ambitious performance targets at scale is far easier said than done, especially for large eCommerce enterprises.

With mobile now responsible for over 53% of web traffic (

) optimizing the mobile experience has become imperative. However, poor mobile performance remains rampant:

As page load increases from 1s to 3s, bounce rates can increase 32% (

A majority (53%) of people who shop online want e-commerce websites to load within 3 seconds or faster (

Conversions can fall by up to 20% for every second delay in mobile page load (

For 20% of online shoppers, slow page loads rank as the #1 frustration (

These stark numbers reveal the zero tolerance users have for sluggish mobile performance. Even minor delays lead to astronomical abandonment rates.

Brands failing to accelerate mobile load times and provide a seamless user experience will hemorrhage customers to faster competitors. Only a 0.1 mobile site speed increase resulted in 10.1% increase in conversions with travel consumers (

). Investing in mobile performance pays dividends.

For large eCommerce enterprises, getting site speed under control is massively difficult. Their complex digital footprint presents roadblock upon roadblock:

 — Distributed teams and fragmented systems lead to siloed, disjointed optimization efforts that often work at cross purposes. Strategic coordination is essential, but difficult.

 — Without holistic performance monitoring, many issues go undetected until customers complain. Teams are constantly reacting instead of being proactive.

 — New capabilities must be balanced with speed needs, but pressure to ship features quickly often overrides performance considerations.

 — Old monolithic stacks like .NET and Java slow velocity. Technical debt and outdated architectures hamper modernization.

 — Integration sprawl has bloated code with duplicate libraries, unnecessary trackers, etc., bogging down pages. But cleaning up requires significant resources.

 — Pinpointing exact optimization opportunities within massive, complex codebases involves extensive, iterative profiling — a difficult and slow process.

 — Traffic spikes easily overwhelm systems. Reacting to demand with more infrastructure leads to runaway cloud costs over time.

These intertwined challenges make achieving consistently excellent speeds at scale an elusive goal. The complexity of continuously optimizing performance across a huge digital footprint taxes engineering teams to their limits. More efficient solutions are required.

To drive dramatic speed improvements across massive sites, leading brands now leverage automated performance proxy services. These intermediary proxies sit transparently between CDNs and origin infrastructure to dynamically optimize pages and assets on-the-fly before delivery.

Here are some key capabilities automated performance proxies provide:

 automatically applies performance best practices tailored to each site and audience. 

 continually experiments to tune techniques based on traffic patterns.

 — Full-site tracking detects performance regressions rapidly via actionable alerts when KPIs degrade. Teams gain visibility to stay ahead of issues.

 — Heavier optimizations like minification and compression are handled at the proxy edge, before requests reach origin. This reduces origin load substantially.

 — Proxies work seamlessly with existing infrastructure and apps. No invasive software installs or architectural changes needed to realize benefits.

 — Proxies are implemented by deploying a simple JavaScript snippet. Acceleration requires zero complex configurations or coding.

By leveraging automated performance proxies, engineering teams no longer bear the never-ending burden of playing catch-up on speed issues. Proxies take over the challenge of continuously diagnosing opportunities and iteratively improving performance.

The outcome? Lightning fast experiences without costly re-platforming or losing velocity on revenue-driving capabilities. Proxy-driven optimization finally makes consistently stellar site speed at scale achievable.

As we’ve explored, achieving lightning fast performance at scale remains enormously difficult for enterprise eCommerce brands. Thankfully, solutions exist like PhotonIQ Performance Proxy (P3) to tame even the most complex performance challenges.

Purpose-built for eCommerce, P3 is an AI-driven proxy service that sits between CDNs and origin to optimize pages and assets on-the-fly. Running on Macrometa’s 

 (GDN) of edge nodes, P3 accelerates your site transparently without any changes to code.

Here are 3 key features that make PhotonIQ the leading performance proxy for global enterprises:

1. AI-powered dynamic performance optimization

P3’s core optimization engine uses advanced AI to dynamically improve page performance. As traffic patterns change, P3’s machine learning algorithms continuously tune and customize optimizations to each site.

P3 handles performance best practices like compressing images, minifying code, prefetching assets, and lazy loading components automatically on-the-fly. The AI does the heavy lifting so engineering teams don’t have to.

 to execute JavaScript tags at the edge instead of in the end user’s browser. This prevents page bloat.

Marketers can still leverage all their analytics, personalization, and other tags without impacting performance. Offloading tag processing minimizes payload size and speeds up page loads.

With Edge Side Tagging, tags load asynchronously after content is rendered. This prevents tags from blocking page rendering and improves Core Vitals scores.

To unlock SEO for modern JavaScript sites, P3 includes dynamic prerendering. This prerenders pages as static HTML at the edge for crawler indexing.

Now search engines can discover content from React, Vue, and Angular sites. P3 edge-rendering happens transparently without changes to application code.

This also accelerates the first paint speed. Users get a static shell instantly while dynamic content loads behind the scenes.

With these capabilities, PhotonIQ streamlines site acceleration without ongoing software maintenance or performance monitoring needed by engineering teams. P3 integrates seamlessly with existing infrastructure — no changes required. The globally distributed proxy layer handles optimization instantly and automatically.

Leading enterprises leverage P3 to improve site speed by up to 70% and 

. Core Web Vitals see similar dramatic jumps into the green across all pages. Slow, bloated sites become lightning fast.

In today’s hyper-competitive digital landscape, fast website performance has become a competitive necessity for eCommerce success. Failing to match or exceed rivals’ speed is no longer an option.

However, optimizing complex enterprise eCommerce sites at scale remains extremely difficult. Thankfully, advanced automated performance proxies now offer a compelling solution. By dynamically accelerating site delivery, proxies empower brands to finally achieve excellent speed consistently across their digital presence.

The revenue impact makes investing in proxies well worthwhile. Leaders looking to modernize their customer experience and compete on satisfaction are adopting proxies rapidly. With technology constantly evolving, the stakes for performance have never been higher. Performance proxies represent a strategic asset to excel today and thrive tomorrow.

If you manage a complex eCommerce site struggling with performance, PhotonIQ is purpose-built to help. The AI-powered P3 proxy optimizes your site for you, delivering dramatic speed gains instantly.

To learn more about P3, schedule an appointment to chat with a 

Speed is Revenue: How Website Performance Directly Impacts eCommerce Sales

Today, we're excited to announce a major milestone for Macrometa: the launch of PhotonIQ, our new suite of SaaS services designed to radically improve modern website and application experiences, as well as API hosting, caching, and delivery from the edge.

Let's backtrack for a moment to understand the significance of this launch. Since its conception in 2017 and rollout in 2020, our 

 has been a cornerstone for some of the world's largest websites, applications, and APIs. From powering top 

 platforms to serving real-time data processing applications in telecom, video streaming, and gaming, the GDN has set new standards in performance and scalability. 

Powering billions of online sales revenue  for eCommerce and more

The GDN is used today by one of the world’s top eCommerce platforms for critical services that power online sales for more than 10,000 of the world's leading brands -  including 500+ orgs that have >$1B in online sales every year. This is in addition to the use of the GDN to power a variety of real-time web services at leading telecom, media and entertainment, video and OTT providers.

Now, what's the next step? Enter PhotonIQ.

PhotonIQ aims to address some of the most common yet challenging issues that plague the current cloud-based landscape for websites, SaaS applications, and APIs. Specifically, we're targeting three key pain points:

: PhotonIQ utilizes AI to enhance key performance indicators, thereby reducing the need for manual performance optimization.

: Our solution moves the operational focus from the cloud to the edge, reducing latency and improving speed for APIs.

: PhotonIQ is equipped to handle traffic spikes, ensuring uninterrupted service and enhanced user experience.

Within the PhotonIQ family, we're introducing several new services:

: This inline caching proxy improves website performance - HTML, CSS, and JS delivery - by up to 300%, without sacrificing quality.

: Aimed at optimizing JavaScript performance, EST replaces all JavaScript tags on a website with a simplified code, running them at the edge for faster execution.

: This feature manages large, unexpected traffic surges, queuing incoming visitor requests to ensure optimal performance even under heavy loads.

: This service hydrates web pages at the edge, delivering them to both users and search engine crawlers with ultra-low latency, thus improving SEO.

: This privacy-focused service allows for a more personalized yet non-intrusive user experience by identifying visitors across various platforms without requiring sign-ins.

The journey has just begun, learn more today

This launch is just the beginning. We have more features and services in the pipeline, designed to continue to meet and exceed the changing demands of modern web infrastructures.

 PhotonIQ can address your specific challenges, please connect with us.

Thank you for being part of this journey. Stay tuned for more exciting updates.

Announcing PhotonIQ By Macrometa - Our New AI CDN For Accelerating Cloud Apps, APIs, Websites And Web Services

Delivering consistently fast page load times is critical for engaging users, driving conversions, and fueling revenue growth. However, as modern web applications become more interactive, achieving speedy first renders grows increasingly challenging.

In this article, we’ll examine various page rendering techniques, their pros and cons, and emerging page rendering techniques like selective on-demand edge side rendering that combines the best of prerendering and dynamic delivery for maximum business benefit.

The need for speed: why page rendering drives revenue

Numerous studies confirm the business impact of page load delays:

Almost 70% of consumers indicate that page speed affects their likelihood to buy (

A very slow load time can be a negative Google ranking factor. (

0.1s site speed improvement leads to 8.4% conversion rate increase, an increase in average order value of 9.2%. (

To maximize revenue, delivering an instant visually complete initial render is essential. 

 emerges as a key strategy for achieving this. Beyond user experience, intelligent edge rendering also improves organic discoverability and traffic acquisition by properly rendering pages for search engine bots. When done well, this increases new visitors and qualified leads.

With faster-perceived performance and increased qualified traffic, sites leveraging edge-side rendering can expect the following:

Greater qualified organic traffic from SEO

Prerendering at the edge delivers a better user experience, unlocks site speed barriers, and drives higher conversions across channels — all leading to accelerated growth and profits.

With CSR, the server provides minimal HTML, CSS and JS. The browser fetches JSON data, executes JS to render markup/CSS, and updates the DOM.

 — Highly interactive and dynamic UIs. Faster initial document response.

 — Slower TTI from JS execution. More layout reflows and shifts. Heavier processing on clients.

 — Interactivity is the priority over first render speed.

SSR generates full HTML markup on the server, sends it to the browser, then optionally infuses the page with JS to enable interactivity.

 — Creates a great first impression, with immediate first paint and low time-to-interactivity. Great SEO as crawlers receive static HTML. Less device-dependent vs Client-Side Rendering.

 — Added server load and application complexity.

 — When dynamic content needs to be accessible to search crawlers, but cannot be statically generated.

With SSG, sites are prebuilt into static HTML pages at build time. Pages are pure HTML/CSS/JS assets.

 — Excellent performance. Great for mostly static marketing content.

 — No dynamic content changes. Full rebuilds are required for updates.

 — Marketing sites, blogs, documentation.

Each approach involves tradeoffs. SSR and SSG offer the best TTI but lack flexibility. The optimal technique depends on app requirements and infrastructure.

Scaling challenges with Server-Side Rendering

SSR provides tangible loading speed gains by prerendering pages on the server. However, traditional SSR architectures can struggle to scale as traffic and pages grow.

Prerendering all possible pages is infeasible as combinations explode. Hundreds of variations arise from factors like:

Unbounded dynamic routes in single-page apps

Standard SSR must render the full app on each request, amplifying server load. Memory overhead also increases as generated HTML for every path is stored. Caching helps but is complex with dynamic content.

These challenges can cause SSR to hit scaling limits much sooner than client-side rendering. However, completely abandoning SSR means losing its SEO and performance benefits. A hybrid approach is needed.

Optimized prerendering with SSG and edge computing

 prerenders HTML pages at build time. This eliminates rendering workload at runtime. However, lack of dynamic content updates limits use cases.

 addresses this by pushing processing to nodes located closer to users. Assets can be cached at edge locations while dynamic pages are rendered on-demand. Geo-distributed infrastructure scales seamlessly.

An optimal architecture combines SSG and edge rendering:

SSG prerenders static pages at build time

Dynamic routes are rendered on-demand at the edge

Fallback origin SSR for rare uncached pages

This efficiently utilizes prerendering while still supporting dynamic content through edge rendering. The edge layer absorbs most of the workload, only calling the origin SSR when required.

By minimizing repetitive SSR work, the scale increases dramatically.

The power of on-demand Edge Side Page Rendering

Archive

Virtual Waiting Rooms: Improve User Experience & Reliability

Speed is Revenue: How Website Performance Directly Impacts eCommerce Sales

Announcing PhotonIQ By Macrometa - Our New AI CDN For Accelerating Cloud Apps, APIs, Websites And Web Services

Rendering for Revenue — How Intelligent Edge Side Page Rendering Unlocks Faster Sites & Revenue

Go Beyond Browser Fingerprint Services to Unlock eCommerce Revenue Growth

Outsmarting Bots: How Honeypots Can Boost eCommerce Security

Bridging Data With Macrometa’s Connectors

Holiday Countdown: Optimize eCommerce Defenses & Performance

Unlocking Speed With Edge Side Tag Management