Serverless architecture is a cloud computing model that allows developers to build and deploy applications without having to manage servers. In a serverless architecture, the cloud provider handles all of the underlying infrastructure, including provisioning, scaling, and maintenance. This frees up developers to focus on writing code and building products that deliver value to their users.
Serverless architecture is particularly well-suited for B2B SaaS products, which are typically high-traffic and require a high degree of scalability. Check out our in-depth guide on what is serverless software development.
Serverless architecture can benefit B2B SaaS companies
Serverless architecture is a pay-as-you-go model, so companies only pay for the resources that they use. This can lead to significant cost savings, especially for companies with fluctuating traffic patterns.
Serverless architecture can automatically scale up or down based on demand, so companies can be confident that their applications will be able to handle even the most unexpected spikes in traffic.
Speed up development
Serverless architecture eliminates the need to manage servers, which can significantly reduce development time. This allows companies to get their products to market faster.
How serverless applies to embedded analytics features within B2B SaaS products
Embedding analytics features into B2B SaaS products can help businesses to improve their decision-making, optimize their operations, and better serve their customers. Serverless analytics tools can be used to embed analytics features into B2B SaaS products in a number of ways. For example, serverless analytics tools can be used to:
Collect and process data from a variety of sources
Serverless analytics tools can be used to collect and process data from a variety of sources, including databases, application logs, and IoT devices. This data can then be used to generate insights that can be used to improve the product and better serve customers.
Provide real-time analytics
Serverless analytics tools can be used to provide real-time analytics, which can help businesses to make faster and more informed decisions. For example, a B2B SaaS product that helps businesses to manage their inventory could use serverless analytics to provide real-time insights into stock levels and demand patterns. This information could then be used to optimize inventory levels and avoid stockouts.
Create interactive dashboards and reports
Serverless analytics tools can be used to create interactive dashboards and reports that can be used to visualize and analyze data. This can make it easier for businesses to identify trends and patterns in their data.
Benefits of embedding serverless analytics tools within B2B SaaS products
There are a number of benefits to embedding serverless analytics tools within B2B SaaS products, including:
Improved customer experience
Embedding analytics features into B2B SaaS products can help businesses to provide a better customer experience. For example, a B2B SaaS product that helps businesses to manage their sales could use serverless analytics to provide real-time insights into sales performance and pipeline health. This information could then be used by sales teams to close more deals and improve their bottom line.
Increased product stickiness
Embedding analytics features into B2B SaaS products can increase product stickiness. This is because businesses are less likely to churn from a product that provides them with valuable insights into their data.
New revenue opportunities
Embedding analytics features into B2B SaaS products can open up new revenue opportunities. For example, businesses could charge a premium for access to advanced analytics features or sell anonymized data to third-party companies.
Considerations when using serverless architecture for B2B SaaS products
While serverless architecture offers a number of benefits for B2B SaaS products, there are a few considerations to keep in mind, such as:
Serverless architecture can lead to vendor lock-in, as companies become reliant on a specific cloud provider’s services. To mitigate this risk, companies should choose a cloud provider that offers a wide range of serverless services and a commitment to open standards.
What is a cold start? When a serverless function is first invoked, it may take some time for the function to start up and become responsive. Cold starts can lead to latency, which can be a problem for applications that require real-time response. To mitigate the impact of cold starts, companies should design their serverless functions carefully and use caching techniques.
Debugging Serverless Functions
Debugging serverless functions can be more challenging than debugging traditional server-based applications. This is because serverless functions are often distributed across multiple servers and can be difficult to inspect. To mitigate this challenge, companies should use a cloud provider that offers good debugging tools and support.
Overall, serverless architecture is a good choice for B2B SaaS products. It can help companies to reduce costs, improve scalability, and speed up development. Additionally, serverless analytics tools can be used to embed analytics features into B2B.
When building our embedded analytics product, Qrvey chose to lead with innovative technology. We selected AWS’s serverless offerings to create the infrastructure for our solution. This provides the cutting-edge foundation necessary to enable great end-user experiences.
However, our AWS serverless architecture provides more than that. It also lets us manage and scale our embedded analytics seamlessly. Ultimately, what matters most is empowering our SaaS partners to embed insightful, customizable analytics. But serverless gives us the modern technology stack to make that possible. It’s the ideal choice for forward-thinking SaaS companies offering advanced analytics capabilities.