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Function as a Service - FaaS

Function-as-a-Service (FaaS) is a cloud computing model that allows developers to execute individual functions or code snippets without having to worry about the underlying infrastructure. Essentially, FaaS enables developers to upload and run code in the form of functions without dealing with the deployment, scaling, or management of server infrastructure.

The idea behind FaaS is that developers only need to write and upload the code that fulfills a specific function. The FaaS platform then handles the execution of this code when triggered by events or requests. A typical example of FaaS is using serverless computing in the cloud, where developers deploy functions in the cloud that run only when needed.

Popular FaaS platforms include AWS Lambda by Amazon Web Services, Azure Functions by Microsoft Azure, and Google Cloud Functions by Google. They allow developers to upload and execute code in various programming languages, simplifying application development and scalability without worrying about the underlying infrastructure.

 


Serverless

Serverless refers to a cloud computing approach where developers can build and run applications without having to manage the underlying infrastructure, such as servers or server instances. In the serverless model, the responsibility for provisioning, scaling, and maintaining servers lies with a cloud service provider.

Essentially, serverless doesn’t mean there are no servers; it means developers don't need to concern themselves with managing those servers. The infrastructure is automatically managed and scaled by the provider as needed, allowing developers to focus on writing application code without worrying about the underlying hardware or server configuration.

Serverless applications are often broken down into functions or services known as "Function-as-a-Service" (FaaS). Developers write functions that respond to specific events and are managed and executed by the serverless provider. These functions scale on demand and are billed based on actual usage.

Benefits of serverless include improved scalability, cost savings through usage-based billing, reduced operational complexity, and the ability to focus on developing application logic rather than managing infrastructure. It's commonly used for various types of applications such as web applications, APIs, data processing, and more.

 


Cloud Computing

Cloud computing refers to the delivery of computing resources over the internet. Instead of using local servers or personal devices to store data or run applications, cloud services are provided and managed by a provider over the internet.

There are different types of cloud services:

  1. Infrastructure as a Service (IaaS): It provides basic computing resources such as virtual machines, storage, and networking. Users can utilize and manage these resources without owning physical hardware.

  2. Platform as a Service (PaaS): It offers a platform for developers to build, run, and manage applications without worrying about the underlying infrastructure. This includes databases, development tools, and middleware.

  3. Software as a Service (SaaS): Fully hosted applications that can be accessed and used over the internet without requiring installations or updates on the users' devices. Examples include email services, office suites, and CRM systems.

Cloud computing offers numerous benefits, including scalability, flexibility, cost-effectiveness (through usage-based billing), easier access to resources, and regular updates to services provided by the vendor.

It's used across various domains, from businesses looking to outsource their infrastructure to developers aiming to build scalable applications. The cloud has significantly transformed how resources are provisioned and applications are developed.

 


Publish-Subscribe-Pattern - PubSub

The Publish/Subscribe pattern (often abbreviated as Pub/Sub) is a communication pattern in software development that enables loose coupling between components or systems. It involves two main actors: the Publisher and the Subscriber.

  • Publisher: Responsible for generating and publishing messages or events. A Publisher sends messages to a central location, the Message Broker or Pub/Sub system.

  • Subscriber: Registers for specific types of messages or topics it wants to react to. A Subscriber receives messages published by the Publisher and forwarded by the Message Broker to the respective subscribers.

The key concept in the Pub/Sub pattern is that the Publisher doesn't send messages directly to specific recipients but rather to a central intermediary system. This system stores messages and then distributes them to all Subscribers interested in the corresponding topic or type of message.

The pattern enables decoupled, scalable, and flexible communication between different parts of an application or between different applications. It's used in various systems and technologies, including messaging brokers, cloud platforms, IoT (Internet of Things), real-time analytics, and other scenarios requiring flexible message delivery.

 


Google Cloud PubSub

Google Cloud Pub/Sub is a managed messaging service provided by Google, based on the Publish/Subscribe model. It enables scalable and reliable message delivery between applications and systems in real-time.

Cloud Pub/Sub serves as a central intermediary for message delivery between different components within cloud infrastructure or across various applications. It facilitates Publish/Subscribe communication, where Publishers send messages to specific topics, and Subscribers subscribe to these topics to receive messages.

Some key features of Google Cloud Pub/Sub include:

  1. Scalability: It can handle messages in large volumes and is designed for high throughput rates.

  2. Reliability: It ensures message delivery with low latency and offers persistence to prevent message loss.

  3. Real-time processing: Facilitates real-time message transmission between applications or systems.

  4. Integration: Seamlessly integrates with other Google Cloud services and can connect to external systems.

Cloud Pub/Sub is commonly used in cloud-based applications, data processing pipelines, real-time analytics, IoT (Internet of Things), and other scenarios requiring reliable and scalable message delivery.

 


Internet of Things - IoT

The "Internet of Things" (IoT) refers to a network of physical devices, vehicles, household appliances, and other objects equipped with sensors, software, connectivity, and the ability to collect and exchange data. These objects can communicate with each other and gather or share information, often over the internet or other networks.

The goal of IoT is to connect the physical world with the digital world, enhancing automation, efficiency, accuracy, and convenience in various domains. By using sensors and connectivity, IoT devices can collect, analyze, and utilize data to provide real-time information or perform actions without human intervention.

Examples of IoT applications include smart home devices like thermostats or lighting systems, connected vehicles with telematics systems, health monitoring devices, industrial machinery with sensors for monitoring and optimizing processes, and much more. IoT offers a wide range of applications aimed at improving how we live, work, and interact with the world around us.

 


Subscriber

A Subscriber, in the context of a message broker or messaging system, is an entity or component that receives messages and acts upon them. While the Publisher generates messages and sends them to the message broker, the Subscriber is a part of the system that has subscribed to receive specific types of messages forwarded by the message broker.

Subscribers are recipients of messages who subscribe to particular channels, topics, or types of messages that are relevant to them. Once the message broker receives messages that match the subscription criteria of the Subscribers, it forwards those messages to the corresponding Subscribers, who can then process or respond to them.

For instance, in a messaging system, a Subscriber could be an application waiting for specific types of notifications. Once the message broker receives messages that meet those criteria, it forwards them to the respective application, which then processes or reacts to the received information.

 


Publisher

In the context of a message broker, a "Publisher" refers to a component or entity that generates messages and sends them to the message broker. A message broker serves as an intermediary or middleware that facilitates communication between different applications or systems by receiving, processing, and forwarding messages to the appropriate recipients.

The Publisher is the source of messages within this system. It produces messages and sends them to the message broker, which then forwards them to other systems or subscribers. Essentially, the Publisher sends information or events that can be received and processed by other parts of the system or by subscribers.

For example, in a messaging system, a Publisher could be an IoT device generating sensor data and sending it to the message broker, which then disseminates this data to various subscribers or receivers that process or act upon this information.

 


Topic

Message topics are a concept in message processing that allows messages to be categorized into topics or subjects and sent to various recipients interested in a specific topic.

In the context of message brokers or messaging services, topics enable the publication of messages related to a particular theme or category. These messages can then be received by multiple subscribers or recipients interested in that topic by subscribing to it.

A publisher, responsible for generating messages, sends a message to a specific topic, and multiple subscribers can receive these messages by subscribing to or registering interest in that topic. This topic-based communication allows for flexible, scalable, and targeted message distribution in distributed systems or applications.

For instance, a message topic could be 'Technology,' and all messages associated with this topic would be sent to subscribers interested in technology, while other subscribers interested in topics like 'Sports' or 'Science' would only receive messages related to those specific themes.


Queue

A queue is a data structure that operates on the principle of 'First In, First Out' (FIFO). This means that the first element inserted into the queue is the first one to be removed.

Think of it like a real-life queue: those who arrive first are also served first. In computer science and message processing, a queue is used to store elements or messages waiting to be processed by a process, application, or system.

For instance, a message queue in a message broker works similarly. When an application sends a message, it's placed in the queue, waiting there until it's picked up and processed by another application or system. This facilitates efficient, ordered, and timed processing of messages or tasks.


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