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Web Performance 101: 4 Recommendations to Improve Web Performance

Web Performance and the impact of SPDY, HTTP/2 and QUIC
Jean Tunis

As websites continue to advance, the underlying protocols that they run on top of must change in order to meet the demands of user expected page load times. This blog is the second in a series on APMdigest where I will discuss web application performance and how new protocols like SPDY, HTTP/2, and QUIC will hopefully improve it so we can have happy website users.

Start with Web Performance 101: The Bandwidth Myth

Here are some common recommendations to optimize the steps of a web page request. Having looked at a number of web applications over the years, there have been numerous recommendations I have made over and over. Each web app is different, so these recommendations don't apply to every one of them, but should offer some guidance.

1. Reduce latency between user and server

I talked about this one in my last blog. It's not the bandwidth that matters most; it's latency. You need to reduce time it takes for a packet to go from your user or visitor to your server.

Whether the users are coming from the Internet or within the Intranet, the goal is to make the latency is short as possible. You can't get around the physics around distance, but there are some things you can do.

Externally, you have CDN providers that can help caching. Internally, you can deploy WAN optimization devices to do the same, and more.

If you have more control, you can simply ensure that your application is used by those who are closer to the server.

Closer distance between user and server can mask a lot of issues with an efficient application.

2. Increase number of connections, but up to a point

You want to maximize the number of connections you are making to the server to get as much data back to the visitor as possible. With HTTP/1.1, you don't want just one connection.

But you don't want too many connections either. Too many will start to impact the resources on both the server and the visitor's PC. And that would be bad for web performance.

Opening up these connections takes time as well. The TCP 3-way handshake needs to occur. It would occur every time, and if latency is not low enough, site visitors are impacted by this for every new connection that gets opened.

3. Compress all data

You want to minimize the amount of data that gets sent to the visitor's browser for it to download or render on the computer screen. So file sizes should only be as big as they need to be. If they cannot get any smaller, they should be compressed if that's possible.

This is something that doesn't happen enough. Nearly every modern browser supports gzip compression, yet some servers out there still do not have it implemented.

4. Increase server resources

Like bandwidth, server resources have become less of a constraint over the years. We now have multi-core, GHz processors, TB storage, GB RAM, etc. But there are still times when a website is using up these resources, and the immediate way to reduce response time may be to increase server resources. Due to the availability of such resources, it's usually not a big issue upgrading.

There are many other recommendations. This is just a sample of the things that can be done to improve web performance.

In upcoming blogs on APMdigest, I will explore the impact of SPDY, HTTP/2 and QUIC on web performance.

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Web Performance 101: 4 Recommendations to Improve Web Performance

Web Performance and the impact of SPDY, HTTP/2 and QUIC
Jean Tunis

As websites continue to advance, the underlying protocols that they run on top of must change in order to meet the demands of user expected page load times. This blog is the second in a series on APMdigest where I will discuss web application performance and how new protocols like SPDY, HTTP/2, and QUIC will hopefully improve it so we can have happy website users.

Start with Web Performance 101: The Bandwidth Myth

Here are some common recommendations to optimize the steps of a web page request. Having looked at a number of web applications over the years, there have been numerous recommendations I have made over and over. Each web app is different, so these recommendations don't apply to every one of them, but should offer some guidance.

1. Reduce latency between user and server

I talked about this one in my last blog. It's not the bandwidth that matters most; it's latency. You need to reduce time it takes for a packet to go from your user or visitor to your server.

Whether the users are coming from the Internet or within the Intranet, the goal is to make the latency is short as possible. You can't get around the physics around distance, but there are some things you can do.

Externally, you have CDN providers that can help caching. Internally, you can deploy WAN optimization devices to do the same, and more.

If you have more control, you can simply ensure that your application is used by those who are closer to the server.

Closer distance between user and server can mask a lot of issues with an efficient application.

2. Increase number of connections, but up to a point

You want to maximize the number of connections you are making to the server to get as much data back to the visitor as possible. With HTTP/1.1, you don't want just one connection.

But you don't want too many connections either. Too many will start to impact the resources on both the server and the visitor's PC. And that would be bad for web performance.

Opening up these connections takes time as well. The TCP 3-way handshake needs to occur. It would occur every time, and if latency is not low enough, site visitors are impacted by this for every new connection that gets opened.

3. Compress all data

You want to minimize the amount of data that gets sent to the visitor's browser for it to download or render on the computer screen. So file sizes should only be as big as they need to be. If they cannot get any smaller, they should be compressed if that's possible.

This is something that doesn't happen enough. Nearly every modern browser supports gzip compression, yet some servers out there still do not have it implemented.

4. Increase server resources

Like bandwidth, server resources have become less of a constraint over the years. We now have multi-core, GHz processors, TB storage, GB RAM, etc. But there are still times when a website is using up these resources, and the immediate way to reduce response time may be to increase server resources. Due to the availability of such resources, it's usually not a big issue upgrading.

There are many other recommendations. This is just a sample of the things that can be done to improve web performance.

In upcoming blogs on APMdigest, I will explore the impact of SPDY, HTTP/2 and QUIC on web performance.

Hot Topics

The Latest

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...