AWS Serverless services for Beginners

The server-free computer model allows you to build and run applications and services without having to worry about infrastructure or servers. It removes infrastructure management tasks such as server provisioning, marking, operating system optimization, measurement, and power allocation. In this blog post, I would like to give you an overview of some of the completely free-to-use services provided by Amazon Web Services (AWS), which can be used to create completely wireless programs.

Creating traditional non-service systems means that engineers can focus on basic product and software development and solutions, rather than spend more time setting up and maintaining infrastructure. This results in many benefits such as faster development, simplified performance management, measurement, and reduced operating costs. Check out my last blogpost to get an idea of ​​the non-disruptive properties and how they affect the development process and business of the project.

But how can we use these servers without servers? What tools and services should I use to create the most accessible, awesome and effective backend solution? How can I benefit from managed infrastructure, flexible operating costs that measure my business? How can I increase the speed and speed in my development process?

AWS offers a wide variety of cloud services (> 165) covering all aspects and requirements of background solutions, such as computer hardware, different types of storage, data-intensive information, big data processing, machine learning, messaging and monitoring services, authentication & Encryption services and many.

These services are tightly integrated and provide an easy way to build your app in a flexible and dynamic way. This blogpost will give you an overview of the most important non-disruptive AWS services. In the second part I will draw some examples of using events that show how you can use them to create programs without services.

An overview of AWS services

Compute gives you the environment to use your app code.

With AWS Lambda, you can create code as a function created by various event sources, e.g., HTTP applications in AWS API Gateway, file updates to S3, or metric alarms in AWS Cloudwatch. Lambda is a FaaS solution from AWS where you can use code for any type of application or back-up service. It applies the code to fully managed, highly accessible infrastructure and performs all the functions of computer resources, including server and system maintenance, automatic power supply and measurement, code monitoring and logging. You only pay for the calculation time actually used by your app. Lambda can be integrated with many other AWS services and used in many situations, such as authorizing the HTTP application by verifying the JSON web token, real-time filtering and converting streaming data, processing data to S3, managing database management, and much more.

AWS Fargate, can be used as dock containers without the administration of servers or clusters. It is an orchestration solution that makes it easy to download, manage, and evaluate applications that contain objects. You do not need to define EC2 types, manage cluster settings, increase server usage, or define cloud view metrics to measure conditions. Fargate manages the infrastructure needed to run your containers in the most accessible way. To launch your app, you need to pack your containers, specify CPU and memory requirements, and define network and network policies.

Messaging

AWS Simple Notification Service (SNS) is a fully managed pub / sub messaging service that allows you to get rid of microservices, distributed systems, and non-service programs.

You can send notifications between various services, applications, devices and platforms with multiple transit agreements. SNS allows you to publish messages from a single application to a large number of subscribers for processing. In addition to pressure notifications on mobile devices, you can deliver notifications via email, SMS, SQS, Lambda, or to any HTTP repository.

Amazon Simple Queue Service (SQS) is a fully-fledged distributed queue service that enables you to complete and measure microservice distributed applications and non-service programs. You can send, receive and save messages between software components to resolve issues raised by the manufacturer’s and consumer issue. Amazon Simple Queue Service offers you 2 kinds of message lines: Standard line has high throughput, excellent order, and at least 1 delivery. Additionally, you can use the FIFO line, which guarantees the delivery of messages once in a strict order.

Integration

Amazon API Gateway is a fully managed service for creating, publishing, storing, monitoring, and protecting REST and WebSocket APIs at any rate. It manages the processing or evaluation of up to hundreds of thousands of similar API calls including traffic management, authentication, access control, and API version .You can create your own API within the management UI console and access data, business idea, or functionality from your background services, such as an EC2 running workload or Lambda function code.

With AWS Step Tasks, you can configure parts of your application as step-by-step cables to create complex workflows without a server using Lambda functions. Work flow is followed as a state machine diagram, in which each country represents part of the application. Using a graphical viewer, you can visualize these parts and check the working flow in real time. All steps are automatically detected, tracked and retryed in case of errors, so that the system can run smoothly and efficiently.

Security

Amazon Cognito is a fully-fledged, low-cost subscription / sign-in service, which provides user authentication, authorization, and management for web and mobile applications. The two main parts of Amazon Cognito are user pools and proprietary pools. The User Pool is a user identifier, which provides registration and login services, based on a single or an external identity provider using SAML, OAuth2, or OpenID Connect protocol, such as Facebook or Google. You can use the custom web UI for user login, which can be integrated into your existing web page. With the proprietary pool, your authorized user or anonymous visitor can exchange user pool tokens with temporary AWS tokens to access AWS services. Depending on the IAM role policies, you can give your users or groups well-planned access to your AWS resources or services. Cognito has advanced security features, such as email, phone authentication, and multi-factor authentication.

AWS Key Management Service (KMS) is a fully managed service that allows you to create and manage your own security keys and control the use of encryption across multiple AWS services and applications. KMS is integrated with many AWS services to make it easier to manage encryption throughout your application. This Enables or permits developers to easily add encryption property to an application, either directly through the service APIs or the AWS Encryption Software Development Kit. Customer key keys (CMK) are used to control access to encrypted and encrypted data. You can provide and manage your CMK including your cryptographic custom documents or using CMK provided and managed by AWS. The encrypted keys that are generated and are used with Cloud HSM are only available or accessible to the HSM users that you specify. AWS has no visibility or access or permission to your encryption keys that you generate.

Monitoring

AWS CloudWatch is a analyzing or scanning and management service for AWS resources and custom devloped applications. CloudWatch lets you collect metrics and logs across all your AWS applications, applications, and services running on AWS and local servers. Provides real-time monitoring and visibility in the use of resources for your EC2 status, performance of your applications, and working life. CloudWatch is traditionally integrated with many AWS services that can publish detailed metrics with a 1 second volume. Additionally, you can define alarms according to CloudWatch metrics and perform actions based on their value. You can, for example, set a limit on key usage metrics and initiate automatic measurement action to add or remove EC2 conditions.

AWS Quicksight is a completely managed spy service, which permits you to create data detection and design dashboard for app analysis. These dashboards that are designed can be accessed or used & modified from any mobile device or browser. You can embed them on your apps, sites or websites, giving you powerful statistics to help them. QuickSight allows you to connect and import data from a variety of cloud sources or data sources on a scale and scales to tens of thousands of users without administrative infrastructure.

Database

Amazon DynamoDB is a NoSQL data service that supports value-for-value pairs and document data formats. As it is a fully managed service, you don’t have to worry about hardware supply, setup and configuration, duplicates, backups, software extensions, or component rating. It offers features such as high availability and durability, automatic and unlimited I / O coding, backup tracking with time point recovery, duplicate encryption, and single-digit digitise milliseconds. With a price-to-use model for integration and integration with many other AWS services, DynamoDB is a great database service for many AWS-free applications.

Amazon Aurora is a fully integrated data engine engine compatible with MySQL and PostgreSQL. Perform and separate data integration and duplication to remove time-consuming administrative tasks, such as hardware provisioning, automatic storage, database setting, fragmentation, and backups. Aurora is also available as a much-needed configuration, called Aurora Serverless, with volume-based autoscaling, which is an inexpensive way to support a rare and unexpected load.

Analytics

Amazon Kinesis is a fully-fledged and awesome streaming service for collecting, processing, and analyzing real-time streaming data, such as website clickstreams, event events streaming, financial transactions, social media feeds, app logs, IoT telemetry data, or tracking events place. It empowers you to process and analyze data as it comes and responds quickly, so you can create real-time applications. Amazon Kinesis has 3 services, which can be used to process streaming data. With Amazon Kinesis Data Streams, you can access and store large data streams in real time without having to manage infrastructure, storage, communications and maintenance. Applications can consume data from streaming, so that multiple actions, such as data analysis, archiving, or processing, can occur simultaneously and independently. Amazon Kinesis Data Firehose can be used to upload data to data pools (Amazon Redshift), data stores (S3), and analytics tools (Amazon Elasticsearch). Allows you to capture, modify and upload (ETL) real-time streaming data from multiple data sources at once and automatically send it to a designated location. With Amazon Kinesis Data Analytics Amazon Kinesis Data Analytics can filter, compile, and modify advanced analytics streaming data. You can initiate common SQL queries by comparing stream data to perform timeline analytics, provide data to real-time dashboards, and extract metrics.

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