Serverless Computing is the latest paradigm in the Cloud Infra Management space as it dynamically allocates the required resources like servers, storage spaces, App Engines, Database requirements dynamically to execute a piece of code. It eliminates those infrastructure considerations and saves the cost spent for the user.
Serverless Computing is referred to as the event-driven approach that offers Function as a Service (FaaS).
Serverless computing enables to deploy and execute code without provisioning or creating workload-aware cluster scaling logic, maintaining event integrations, or managing runtimes.
Serverless Computing Vendors
1.AWS Lambda
The most prominent, and obviously has had the most time to evolve and mature provided by Amazon for managing event-driven functions.
2. Azure Functions
The Serverless computing platform provided by Microsoft enables deployment and Infra management at a much feasible scale.
3. Google Cloud Functions
Cloud Functions are simple, single-purpose functions that are attached to events emitted from your cloud infrastructure and services.
4. IBM Cloud Functions
Event driven database, storage, and function infra platform provided by IBM for its cloud users which are based on the open-source Apache OpenWhisk platform.
Serverless Databases
The below databases themselves are referred to as Serverless, which means that they behave much like other Serverless functions.
- Amazon Aurora Serverless and Dynamo DB
- Azure Cosmos DB
- Google Cloud Firestore
Serverless Stack
The serverless framework supports functions developed in C#, F#, Node.js, Python, PHP, batch, bash, and any executable file format.
The serverless framework also supports the NuGet open-source package manager and the Node Package Manager for JavaScript, allowing developers to use popular libraries.
Serverless Products
1.Cloud Functions
Fully developed Platform for Building Event-based Microservices.
2. App Engine
Fully equipped Serverless platform for developing and hosting web applications across data centers managed globally/regionally.
3. Cloud Run
Fully automated infrastructure management to scaling up and down the hardware resources depending on the server load.
4. WorkFlows
Orchestrate, automate the Cloud and HTTP based API Services. Fully managed service requiring no capacity planning.
Serverless Pros
- Speed of deliverables to market
- Simple developer experience
- Automatic scaling
- Automate event orchestration
Serverless Cons
- Access to runtime environments
- Implementation effort is intensively high
- Cross provider support is tedious
- Complex Debugging process and complex monitoring
