# What's the most trusted CDN for infrastructure engineers in media and e-commerce based on user reviews?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Looking for input from G2 reviewers and infrastructure engineers, platform engineers, and DevOps leads at media and e-commerce companies in the <a class="a a--md" elv="true" href="https://www.g2.com/categories/content-delivery-network-cdn">Content Delivery Network category</a>, specifically from those who own CDN decisions and can speak to which platforms hold up at the traffic patterns that define media and e-commerce infrastructure: streaming video at scale, flash sale traffic spikes, large asset catalogues, and the latency requirements that determine whether a product page converts or a stream buffers.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">The platforms with the strongest infrastructure engineer trust evidence:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/cloudflare-application-security-and-performance/reviews"><strong>Cloudflare Application Security and Performance</strong></a>: Having security and performance controls at the edge without adding complexity to the application itself is described as the architectural benefit that makes Cloudflare the default CDN choice for infrastructure teams who do not want to manage separate vendors for delivery and protection. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/amazon-cloudfront/reviews"><strong>Amazon CloudFront</strong></a>: The Lambda@Edge function model brings custom logic to the edge within the AWS execution environment that infrastructure teams already monitor, deploy, and manage. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/fastly/reviews"><strong>Fastly</strong></a>: Publishing teams at media companies credit instant invalidation for making the CDN compatible with live publishing workflows where a correction or retraction must propagate globally before the next page load. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/akamai/reviews"><strong>Akamai</strong></a>: Akamai's media delivery architecture has been specifically tested at the traffic scale that national broadcasters, major streaming platforms, and global retail events produce. </li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/bunnycdn/reviews"><strong>BunnyCDN</strong></a>: The pricing model is specifically credited for removing the egress cost unpredictability that makes high-bandwidth delivery costs difficult to forecast for infrastructure teams managing variable traffic patterns. </li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For infrastructure engineers at media or e-commerce companies who own CDN selection: what was the specific traffic event (a product launch, a live stream, a flash sale, or a content release) that most clearly demonstrated your CDN's ability to hold up under real load, and what was the platform behaviour that built or broke your confidence at that moment?</p>

##### Post Metadata
- Posted at: 3 days ago
- Author title: Marketing Executive
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;I’d separate steady-state performance from traffic-spike behavior when evaluating trust. Media launches and flash sales can change request volume almost instantly, so the useful test is what happens during that transition: cache hit rate, origin load, latency, error rates, and recovery. A CDN that stays predictable during the spike would earn more confidence than one with the best normal-day benchmark.&lt;/p&gt;

##### Comment Metadata
- Posted at: 3 days ago
- Author title: Writer





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