[EN] update FaaS & Serverless (#2217)

Signed-off-by: Johannes Manner <[email protected]>
Signed-off-by: Noah Ispas <[email protected]>
Signed-off-by: Nate W <[email protected]>
Co-authored-by: Jihoon Seo <[email protected]>
Co-authored-by: Noah Ispas <[email protected]>
Co-authored-by: Rolfe Dlugy-Hegwer <[email protected]>
Co-authored-by: Nate W <[email protected]>

Author: 5 people

content/en/function-as-a-service.md

@@ -5,30 +5,25 @@ category: Technology
 tags: ["infrastructure", "", ""]
 ---
 
-Function as a Service (FaaS) is a type of [serverless](/serverless/) [cloud computing](/cloud-computing/) [service](/service/) 
-that allows executing code in response to events 
-without maintaining the complex infrastructure 
-typically associated with building and launching [microservices](/microservices/) applications. 
-With FaaS, users manage only functions and data while the cloud provider manages the application. 
-This allows developers to get the functions they need without paying for services when code isn’t running.  
+
+Function as a Service (FaaS) is a cloud computing model that provides a platform for executing event-triggered functions, allowing for automatic scaling without manual intervention.
+At its essence, FaaS enables the deployment of individual functions that are activated by specific events, operate on a short-term basis, and then shut down, ensuring resources are not wasted.
+This model supports an [autoscaling](/auto-scaling/) feature, enabling a function instance to be initiated per request and terminated post-execution, emphasizing its stateless nature.
+Consequently, FaaS platforms can implement a true pay-as-you-go billing approach, eliminating costs when functions are dormant, distinguishing it from other models like [Platform as a Service (PaaS)](/platform-as-a-service/), which require continuous resource availability.
 
 ## Problem it addresses
 
-In a traditional on-premises scenario, a business manages and maintains its own data center. 
-The business must invest in servers, storage, software, and other technologies 
-and potentially hire an IT staff or contractors to purchase, manage, and upgrade all the equipment and licenses. 
-The data center has to be built to meet peak demand, even when workloads decline and those resources stand idle. 
-Conversely, if the business grows quickly, the IT department might struggle to keep up. 
-Under a standard [Infrastructure-as-a-Service (IaaS)](/infrastructure-as-a-service/) cloud computing model, 
-users pre-purchase capacity units, meaning you pay a public cloud provider for always-on server components to run your apps. 
-It’s the user’s responsibility to scale up server capacity during times of high demand 
-and scale down when that capacity is no longer needed. 
-The cloud infrastructure necessary to run an app is active even when the app isn’t being used.
+Traditionally, businesses have relied on maintaining on-premises data centers, necessitating substantial investment in hardware, software, and personnel.
+This setup demands resources to be scaled to peak demand, resulting in underutilized assets during downtime.
+Moreover, rapid business growth can overwhelm IT capabilities, leading to operational inefficiencies.
+In contrast, [Infrastructure-as-a-Service (IaaS)](/infrastructure-as-a-service/) models, while offering cloud-based solutions, still place the onus of scaling resources on the user, requiring payment for continuous server availability irrespective of actual usage.
 
 ## How it helps
 
-FaaS gives developers an [abstraction](/abstraction/) for running web applications in response to events without managing servers. 
-For example, uploading a file could trigger custom code that transcodes the file into various formats. 
-FaaS infrastructure will auto-scale the code for heavy use, 
-and the developer does not have to spend any time or resources building the code for [scalability](/scalability/). 
-Billing is based on computation time alone, which means businesses do not have to pay when the functions are not in use.
+FaaS gives developers an [abstraction](/abstraction/) for running web applications in response to events, eliminating the need to manage server infrastructure.
+For example, an action such as uploading a file could trigger custom code that transcodes the file into various formats.
+The FaaS infrastructure automatically adjusts resources to match demand, freeing developers from the complexities of coding for [scalability](/scalability/).
+Charges apply solely for the duration of computation, ensuring no costs accrue when functions are inactive.
+	
+For more information, refer to the [Serverless](/serverless/) glossary entry.
+Although "serverless" and "FaaS" are often used as interchangeable terms, they embody distinct concepts.

content/en/serverless.md

@@ -5,29 +5,28 @@ Category: Technology
 tags: ["architecture", "", ""]
 ---
 
-Serverless is a cloud native development model that allows developers to 
-build and run applications without having to manage servers. 
-While servers do still exist within the serverless paradigm, they are [abstracted](/abstraction/) away from the application development process.
-A cloud provider handles the routine work of provisioning, maintaining, and [scaling](/scalability/) the server infrastructure. 
-Developers can conveniently package their code into [containers](/container/) for deployment.
-Once deployed, serverless apps respond to demand and automatically scale up and down as needed. 
-Serverless offerings from public cloud providers are usually metered on-demand through an event-driven execution model. 
-Consequently, when a serverless function is in an idle state, there are no associated costs.
+
+Serverless Computing [abstracts](/abstraction/) servers away from the user.
+Operational management falls to the service provider, including handling physical machines and VM provisioning.
+Service providers can be public cloud entities or internal IT departments serving their development teams.
+These providers offer user interfaces such as SDKs, CLIs, or OCI-compliant runtimes, focusing on code and deployment tasks.
+Charges are based on a pay-per-use model.
+[Scaling](/scalability/) and resource provisioning for computing, storage, or networking are automatically adjusted based on application demand without user intervention.
+A serverless platform provider consolidates resources to serve multiple users on a single physical machine, ensuring isolation through virtualization, especially with [VMs](/virtual-machine/).
+
+Serverless is a comprehensive term encompassing services with these attributes, extending from [Platform-as-a-Service (PaaS)](/platform-as-a-service/) to [Software-as-a-Service (SaaS)](/software-as-a-service/).
 
 ## Problem it addresses
 
-Under a standard [Infrastructure-as-a-Service (IaaS)](/infrastructure-as-a-service/) [cloud computing](/cloud-computing/) model, 
-users pre-purchase units of capacity, meaning you pay a public cloud provider for always-on server components to run your apps. 
-It’s the user’s responsibility to scale up server capacity during times of high demand and 
-to scale down when that capacity is no longer needed. 
-The cloud infrastructure required to operate an application remains active even when the application is not in use.
+In traditional [Infrastructure-as-a-Service (IaaS)](/infrastructure-as-a-service/) [cloud computing](/cloud-computing/) models, users commit to a predefined capacity, resulting in charges for continuous server availability regardless of actual use.
+Responsibility for adjusting server capacity to meet fluctuating demands falls on the user, maintaining active infrastructure even during idle periods.
 
 ## How it helps
 
-Contrasting with traditional approaches, the serverless architecture launches applications only when they are needed. 
-When an event triggers app code to run, the public cloud provider dynamically allocates resources for that code. 
-The user stops paying when the code finishes executing. 
-In addition to the cost and efficiency benefits, 
-serverless frees developers from routine and menial tasks associated with app scaling and server provisioning. 
-With serverless, routine tasks such as managing the operating system and file system, security patches, 
-load balancing, capacity management, scaling, logging, and monitoring are all offloaded to a cloud services provider.
+Serverless architecture introduces a more efficient approach, activating services solely upon demand.
+This model ensures dynamic resource allocation by a cloud provider, eliminating costs for unused services.
+Beyond financial and operational efficiencies, serverless technology relieves developers of the burdens of scaling applications and managing server infrastructure.
+Tasks such as operating system maintenance, security updates, load balancing, capacity planning, and monitoring are delegated to the cloud provider, streamlining the development process.
+
+Refer to the [Function-as-a-Service (FaaS)](/function-as-a-service/) glossary entry for more information.
+Although "serverless" and "FaaS" are often used as interchangeable terms, they embody distinct concepts.

wordlist.txt

@@ -233,3 +233,7 @@ TCP
 TCP/IP
 UDP
 HTTP/3
+CLI
+CLIs
+SDK
+SDKs