How DreamFactory Can Help You Reduce API Bottlenecks

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Tall tower showing how you can reduce API bottlenecks

If you've been using APIs for a while, you know that reducing API bottlenecks is important to ensure optimal user experience. API bottlenecks can cause your system to grind to a halt, resulting in lost sales and unhappy customers. However, powerful open-source software that provides a complete REST API for your JavaScript, Python, or PHP applications can help you avoid this fate.

The solution to prevent these bottlenecks relies on the developer platform you decide to use. You want to ensure you use a platform that provides an easy way to create and manage APIs and can connect them to other systems and data sources.

What Are Bottlenecks and What Do They Have To Do With APIs?

Bottlenecks are congestion points in your system where too much traffic is trying to pass through at once. Several factors can cause this, but when it comes to APIs, the most common cause is too many people making requests to the API all at once.

Some other reasons for a bottleneck include:

  • Too much data being sent or received
  • A slow network connection
  • An overloaded server

How Do You Reduce API Bottlenecks?

Your API needs to be built with scalability in mind to reduce bottlenecks from occurring, and you must have a plan for handling increased traffic.

One way to do this is by using a caching system, like Redis, which can help reduce the number of requests made to the API by storing commonly requested data in memory.

Another way to prevent bottlenecks is balancing your API calls across multiple servers, ensuring that others can pick up the slack if one server goes down.

You want a solution with built-in scalability and load-balancing features to prevent bottlenecks. Different developer platforms can offer features that can instantly generate REST APIs for MySQL, SQL servers, and other common data sources.

Here are some of the primary ways you can help ensure your API can handle increased traffic without running into bottlenecks.


Scalability means that your system can handle an increase in traffic without breaking. To do this, you need to ensure that your API is built to handle more traffic than you are currently getting.

One way to help scalability is using a content delivery network (CDN). A CDN is a network of servers worldwide that caches your content and serves it to users from the closest one to them. This can help reduce latency and improve performance.

To scale properly, the developer platform you choose must have the proper capabilities. Here are some things you should look for when picking a scalable developer platform.

1. Allows for Vertical Scaling

Vertical scaling is when you add more resources, like CPU or memory, to an existing server. This is the most common way to scale because it's usually the easiest and most cost-effective. When it comes to bottlenecks, adding more resources can help reduce the load on your system and improve performance.

2. Provides a Default SQL Database

You want a platform that allows for development and testing. SQL databases are perfect for development and testing. You want to ensure you are using a database that is optimized for file storage and running queries. Another advantage to SQL databases is that they can often store scripts server-side, which is perfect for when you need to run complex queries or process large amounts of data. You can also write these scripts using PHP or JavaScript, which can help with the response of the API calls.

The SQL database is ideal for development and testing because it's easy to use and requires no additional configuration. When ready to go live, you can switch to a different database, like MySQL or PostgreSQL.

3. Enables the Inclusion of External Data Sources

The third thing you should consider when looking for a platform that includes scalability is that it provides the ability to include external data sources. A platform that allows you to connect to other systems, like Salesforce or MongoDB, and pull data into one place can help prevent bottlenecks. Connecting to open APIs with different authentication requirements, such as OAuth, can be pivotal in avoiding backlogs and bottlenecks.

Including external data sources also helps scalability because it allows you to share the load among multiple systems. If one system goes down, you can still access the data from another system.

Visit DreamFactorys Appendix E to use their software to scale your processes today.


Caching is one of the most effective ways to improve API performance and reduce bottlenecks. Caching is when a copy of the data is stored locally so you can quickly access it without making a call to the server.

You want to use a developer platform that supports caching out of the box with multiple adapters, including Redis and Memcached. This means you can quickly and easily add caching to your API without writing additional code. They also automatically cache commonly requested data, so it doesn't have to be retrieved from the database whenever someone makes a request. When your API has multiple data sources, the functionality to cache data must be built-in to prevent overloading the database.

Load Balancing

Load balancing is another way to improve API performance by distributing traffic across multiple servers. This ensures that if one server goes down, the others can pick up the slack. This is especially important for mission-critical APIs where downtime is not an option and runtime is crucial.

If you don't have a load balancer set up, it's essential to consider how you would add one if needed. This usually requires adding new hardware, and it can be expensive. A platform that includes a load balancer will save you time and money in the long run.

An example of software with load balancing built-in is DreamFactory. They also have a built-in health check feature to monitor your servers' status and ensure they run smoothly. To further understand how DreamFactory can help you achieve load balancing visit their website today.

Security Measures

Security is another crucial element of bottleneck prevention. You want to make sure that only authorized users can access your data. Your chosen platform should have a robust security system to protect your data.

One way to secure your data is by using an API gateway. An API gateway is a reverse proxy that sits between your client and server and acts as a single entry point for all your API calls. This means you can control who has access to your API and what they can do with it.

Software such as DreamFactory includes an API gateway with multiple authentication methods, including OAuth and LDAP. They also have a built-in role-based access control system so you can granularly control what each user can do with

When looking on the backend, it's essential to secure the data that is being stored. DreamFactory encrypts all data at rest, so you can ensure that your information is safe even if someone gains access to the server. For more information on important security features to prevent bottlenecks, see here.

Reduce API Bottlenecks with DreamFactory

If you are looking at the top REST API ecosystems with multiple use cases to start your next project, don't forget about DreamFactory. They provide one of the leading API management platforms for developers and offer a wide variety of features to help you build web applications.

Through seamlessly integrations with platforms such as AWS (Amazon Web Services), Microsoft Azure, Apache, and MongoDB, your team will be able to work smarter — not harder — when building out your application.

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