Once upon a time, building a web application involved purchasing physical hardware to run a server. Today, companies are switching to serverless systems. These cloud computing models allow developers to run applications without managing servers.
The method offers several benefits to businesses, but it also poses risks and challenges. Read on to learn the best practices for serverless computing to ensure your company reaches its business goals.
What is Serverless Computing?
The term ‘serverless computing’ is somewhat of a misnomer. Physical servers are still used, but developers do not need to be aware of them. They get backend services from a vendor, so they don’t have to pay for a specific amount of bandwidth or servers or worry about infrastructure hassles.
Serverless computing runs on an auto-scale method. It eliminates the risk of over-purchasing, a common practice many companies engage in to avoid exceeding monthly limits due to traffic and activity spikes. Bandwidth is provided on an as-needed basis.
What are the Benefits of Serverless Computing?
- Cost Benefits: The biggest benefit of serverless computing may be the cost savings. The auto-scale system means companies don’t pay for services they don’t need. They are only charged for the data they use.
- Reduced Administrative Burden: A serverless system means no infrastructure management. It frees up developers so they can focus on coding and other pressing matters.
- Scalability: The service automatically scales to your business needs. There is no need to purchase new technology or update systems.
- Quick Deployments and Updates: Developers do not need to update and manage infrastructure so they can deploy code quickly. They also gain speed by working with a system that allows them to upload code gradually or all at once.
- Reduces Latency: Serverless computing eliminates an origin server. It can be run from anywhere, including locations close to the end user. The reduced travel time decreases latency.
- Better Integration: The system integrates with several technologies to provide more capabilities to users. It works with container technologies to increase flexibility and control. It also allows for machine learning and artificial intelligence which leads to better analytics, faster processes, and fewer errors. It can be integrated with other cloud services like databases, storage systems, and messaging services so you can take advantage of multiple cloud features.
Challenges of Serverless Computing
- Difficult Testing and Debugging Processes: Developers may find it difficult to duplicate a serverless environment to determine how code will work after it goes live. They may also face challenges when debugging due to limited insight into the backend process and the fact that applications are broken up into smaller functions. Consider investing in technologies that reduce challenges in the testing and debugging processes.
- Security Concerns: Vendors that provide serverless computing do not work with private servers. They run code from several customers on a single server, often simultaneously. This multi-tenancy system could lead to data exposure. Companies can overcome this challenge by investing in systems that boost infrastructure to mitigate degradation.
- May Not Work Well with Long-Running Processes: Serverless providers charge for the time code runs. Therefore, it may be more expensive to run an application with long-running processes as compared to traditional servers.
- Reduced Performance: Serverless codes do not run constantly and may need a reboot which can degrade performance. Degradation is especially likely to occur in systems that haven’t been used in a while. You can avoid this issue by working with a system with an engine that minimizes reboot times.
- Vendor Lock-In: A serverless system increases your reliance on one vendor making it difficult to switch vendors if you are unhappy with the services. Ensure you are working with a trustworthy vendor before signing any contracts.
Is Serverless Computing Right for You?
Serverless computing is ideal for businesses that want to decrease their deployment times, reduce server costs and latency, and scale quickly. However, if your company uses a consistent workload and large applications, a traditional setup may be a more cost-effective choice. Businesses with legacy systems may also struggle to update systems to a different architecture.
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