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Common Web App Performance Problems

Problem 1: Poorly Written Code
Poorly written code can lead to a host of web application issues including inefficient algorithms, memory leaks and application deadlocks. Old versions of software, or integrated legacy systems can also drag performance down. Make sure your teams are using all the tools at their disposal – from automated tools like profilers to best programming practices like code reviews.

Problem 2: Unoptimized Databases
An optimized database allows for the highest levels of security and performance, while an unoptimized database brings can destroy a production application. Missing indexes slow down the performance of SQL queries causing, which can drag down an entire site. Be sure to use scripts and file statistics to check for any inefficient queries.

Problem 3: Unmanaged Growth of Data
Data systems tend to degrade over time. Developing a plan to manage and monitor data as it grows is indispensable to your web performance success. The first step is deciding who is accountable for data growth in your business. From there, your team will need to research and determine the appropriate storage for your data needs. Look at all your options, from databases to caches to more sophisticated layered storage solutions.

Problem 4: Traffic Spikes
We generally think of increased traffic as a good thing. However, anyone who has experienced major traffic spikes after a marketing promotion or viral video knows what can happen when you aren’t properly prepared for them. Planning ahead is key, and set up an early warning system through simulated user monitoring systems like NeoSense. That way, you’ll see when traffic is impacting transactions before your users have a bad experience.

Problem 5: Poor Load Distribution
Poor load distribution can cause slow response times by incorrectly assigning new site visitors to bogged-down servers instead of others with cycles to spare. If too many people are on the same server, they’re going to experience problems, even if the overall system is well under capacity. It is imperative to test with a product like NeoLoad as it will help you find any infrastructural weaknesses at hand.

Problem 6: Default Configurations
Systems must be properly tuned. While default configurations make it easy to get new components up and running, they’re not always appropriate for your web applications in a live production environment. Every setting should be checked: review thread counts, allocated memory and permissions. Confirm that all configuration parameters suit the demands placed on your web application, and aren’t the way they are just out of convenience.

Problem 7: DNS, Firewall, and Network Connectivity
DNS queries make up the majority of web traffic. That’s why a DNS issue can cause so much trouble, preventing visitors from accessing your site and resulting in errors, 404s and incorrect pathways. Likewise, network connectivity and firewall efficiency are crucial for access and productivity. Use DNS monitoring safeguards to pinpoint problems at hand. Also, revise switches, check VLAN tags, and distribute tasks between servers. These are just a few ways to troubleshoot these types of performance issues.

Problem 8: Troublesome Third-Party Services
If you rely on third-party services, you know that some slowdowns are out of your control. Who hasn’t experienced a stalled page, waiting to load an ad from someone else’s ad server. If your users are experiencing problems, it’s essential to determine if the problem is on your side or that of the third-party. If you decide to continue using the third-party service, look at making some design changes to protect your site from at least some of the effects of a third-party service issue. Finally, make sure your company and the off-service provider are clear on performance guarantees.

Problem 9: Shared Resources and Virtual Machines
Just about every web application today relies on virtual machines for everything from scalability to management to system recovery. However, sometimes the way these virtual systems are organized – hundreds of VMs on a single physical server – can result in problems where one bogged-down system affects all the others. After all, contention is bound to happen. Monitor systems closely so that if one VM is causing problems, you can deal with the side-effects quickly.


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