The word “Serverless architecture” or simply “Serverless” has created a lot of buzz over the last few years. The perks and benefits offered by cloud providers have started attracting organizations to adopt serverless technologies.
The Problem with Traditional Server Management
Running an application on a traditional server-based infrastructure can be expensive and time-consuming due to the need for constant maintenance. This includes tasks like:
- Operating system maintenance and updates
- Patching security vulnerabilities
- Scaling the infrastructure to meet fluctuating traffic demands
- Monitoring server health and performance
Serverless architecture offers a solution by abstracting away these server management responsibilities. Going serverless can be a big relief for the dev team and dedicated DevOps engineers. Developers working closely with the backend, certainly don’t want to fall behind with the trends.
What is Serverless Architecture?
Serverless architecture streamlines the development process by abstracting away server management tasks. This frees up backend developers and DevOps teams to focus on what they do best: writing high-quality application code.
Leveraging a cloud provider's public cloud infrastructure and Platform as a Service (PaaS) model, serverless architecture handles server provisioning, scaling, and management behind the scenes.
Developers can concentrate on building microservices, which are small, independent services that perform specific functions. These functions are triggered by events, such as an API request from a web application, a change in a database, or a scheduled event. This event-driven approach allows for a more modular and scalable application design.
According to the Datadog reports on the state of serverless- Major cloud providers continue to see significant serverless adoption. Also, frontend development is the leading category of emerging serverless platforms.
How Does Serverless Architecture Work?
Serverless architecture is based on the Function as a Service Model (FaaS). It is used by developers to execute specific functions to perform specific tasks. These functions are also known as Lambda functions (AWS terminology) or Google Cloud Functions.
The model is also known as Compute as a Service, these are the stateless backend functions that are fully manageable, and scalable.
Here's a breakdown of the typical workflow:
- Developer Writes Code: The developer writes the application code for the functions using a supported programming language.
- Deployment: The code is deployed to the serverless platform offered by a cloud provider like AWS Lambda, Microsoft Azure Functions, or Google Cloud Functions.
- Event Trigger: An event triggers the execution of a function. This event could be an HTTP request from a web application, a message from a queue, or a file upload to cloud storage.
- Cloud Provider Executes Code: The cloud provider allocates resources and executes the function code.
- Function Completes: Once the function completes its task, the execution environment is shut down, and no further resources are consumed.
- Response Returned: The cloud provider returns the function's output to the source of the event (e.g., the web application).
Popular Use Cases of Serverless Architecture Implementation
Serverless architecture is well-suited for a variety of application development scenarios, including:
1. Microservices: Serverless functions are ideal for building microservices which are small, independent services that work together to form a larger application.
2. Web Applications: Serverless functions can handle backend tasks for web applications, such as processing form submissions, sending emails, or interacting with databases.
3. Mobile Backends: Serverless functions can provide APIs for mobile applications, handling user authentication, data storage, and push notifications.
4. Data Processing: Serverless functions can be triggered by data events, such as new data being added to a database or a file being uploaded to cloud storage. This allows for real-time data processing and analytics.
5. Internet of Things (IoT) Applications: Serverless functions can be used to process data from IoT devices and trigger actions based on that data.
Let’s look into some real-world use cases
Figma is a vector graphics editor, designing, and primarily web-based prototyping tool, and also has additional desktop and mobile applications. The company was established in 2012 and provides a good alternative to Adobe Photoshop.
Figma has the following features:
- Cloud-based platform
- Simplified data sharing and collaboration
- Real-time data synchronization
- Works on Android, iOS, and Linux
- Figma design files can be shared using the link
Figma serverless architecture allows millions of designers, developers, and other professionals to focus on design and collaboration with much efficiency rather than manually managing the design files. All of it is a result of the right implementation of serverless technology.
Netflix is a very well-known broadcasting company in the market that has millions of customers all around the world. It uses AWS Lambda serverless technology to run its operations that otherwise require lots of planning and effort.
AWS has benefited Netflix in the many different ways,
- The media encoding process is automated by the event-based triggers.
- Alters and shuts down the instances if unauthorized access is detected.
- Simplify media publishing, and encoding by using a series of rules and events.
- Automatically detects the cause of an issue in case something goes wrong.
C. Nordstrom- A department store chain based in Seattle, Washington
The company has adopted event-driven applications and created an open-source serverless architecture. The “Hello Retail” is the Nordstrom technology open source project that is a 100% serverless, event-driven framework, and the functional proof of concept based on the immutable, ordered, and distributed ledger. The approach is utilized to solve the problems in the retail space.
Benefits, and Drawbacks of serverless architecture
Let's look into the awesomeness and limitations of serverless architecture.
Benefits
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Servers are managed by cloud providers so the developers can better focus on product development.
Serverless computing runs on servers that are completely managed by cloud service providers. So you have zero server management with an easy scalability option.
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CDN reduces latency issues
As CDN and edge networks enable you to run serverless functions on servers that are close to end-users around the globe, you can ensure faster content delivery.
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Save cost, no need to purchase additional servers.
With the traditional server-based architecture, developers have to predict and purchase the additional servers to ensure your application should not face any bottleneck or downtime. However, with the serverless approach, the users will be charged for what they have used.
Moreover, as the server maintenance is taken care of by the cloud providers, you don't have to pay for the server maintenance and the hardware cost.
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Can scale endlessly and automatically
The app built with serverless architecture can scale as you need. So there is no need to worry about any spike in traffic that may cause performance downtime.
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Dedicated to Security
You might be thinking that allowing vendors to control the app backend may cause security issues. But you must understand that the cloud vendors are dedicated to providing the most secure, efficient, and high-quality service possible. Because for any business model, it's important to enforce the best practices.
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Faster development
Going serverless accelerates app development and enables rapid deployment which is critical in the case you need to launch apps faster in the market.
Drawbacks
Every evolving technology needs some time to meet perfection. The same goes for serverless technology. The technology has a few drawbacks which are given below.
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Vendor Lock-in:
Although some portability exists through open standards and frameworks, serverless applications can become tied to a specific cloud provider's platform. Switching to a different provider can be complex and time-consuming.
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Cold Starts:
When a serverless function is invoked for the first time, it may experience a slight delay known as a "cold start" as the cloud provider allocates resources and initializes the execution environment. This can impact the latency of the function, especially for infrequent invocations. Techniques like code optimization and keeping functions warm can help mitigate cold starts.
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Monitoring and Debugging:
Due to the ephemeral nature of serverless functions, traditional logging and debugging techniques used for server-based applications may not be as effective. Cloud providers offer specific tools and strategies for monitoring and debugging serverless functions.
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Limited Control:
Developers may have less control over the underlying infrastructure compared to a traditional server-based environment. This can be a concern for security-sensitive applications or those with specific performance requirements.
Monitoring Serverless Applications
Effective monitoring is crucial for ensuring the performance, reliability, and security of serverless applications. Cloud providers offer various tools and services for monitoring serverless functions, including:
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CloudWatch (AWS): Provides detailed insights into application performance, resource utilization, and errors.
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Application Insights (Azure): Monitors application performance, identifies bottlenecks and tracks user behavior.
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Stackdriver (Google Cloud Platform): Offers monitoring, logging, and debugging tools for serverless applications.
Considering Serverless Architecture?
Here are some key factors to consider when deciding if serverless architecture is a good fit for your project:
- Application Type: Serverless is well-suited for event-driven applications, microservices architectures, and applications with unpredictable traffic patterns.
- Development Team Expertise: The development team should be comfortable with cloud platforms and FaaS programming models.
- Cost Considerations: While serverless can reduce operational costs, it's important to factor in potential costs associated with function invocations and egress traffic.
- Monitoring and Debugging Requirements: Ensure the chosen serverless platform provides adequate tools and observability for monitoring and debugging your application.
By carefully considering these factors, you can make an informed decision about whether serverless architecture is the right approach for your application development needs.
Conclusion:
After going through all this stuff, we can conclude that, though the traditional server-based model has its own benefits, going with the request-driven serverless architecture has a high potential to reduce your workload during app development and deployment.
It benefits you by reducing the operational cost while accelerating the development process with faster setup, and backend operations management. So, get a clear idea about your app demands and be sure to adopt serverless architecture.
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