The Pragmatic Programmer

Category: AWS

  • What is the relationship between Regions and Availability Zones?

    Regions consist of two or more Availability Zones.

    Each Availability Zone includes one or more data centers.

    After you have selected a Region for your applications, as a best practice, run applications in multiple Availability Zones. This helps to ensure that your applications can continue to run if one Availability Zone fails.

  • Which AWS service is a valid data source for AWS AppSync?

    Amazon AppSync supports multiple data sources, including the following AWS services:

    Amazon DynamoDB: A fast and flexible NoSQL database service.

    Amazon RDS: A managed relational database service for SQL, MySQL, PostgreSQL, and other databases.

    AWS Lambda: A serverless computing platform that runs your code without requiring you to provision or manage servers.

    Amazon S3: An object storage service that allows you to store, retrieve, and manage your data through the AWS Cloud.

    HTTP Data Sources: You can also connect to any HTTP data source, including REST APIs and web services, using AppSync’s built-in support for HTTP resolvers.

    These are the most commonly used data sources for AppSync. Other AWS services, like Amazon ElastiCache, Amazon Aurora, and Amazon Kinesis, can also be used as a data source for AppSync through custom Lambda resolvers.

  • What is Amazon S3?

    Amazon S3 (Simple Storage Service) is a cloud storage service provided by Amazon Web Services (AWS). It allows users to store and retrieve any amount of data, at any time, from anywhere on the web. S3 provides high durability and availability for data, making it suitable for storing mission-critical data. S3 can be used for a variety of use cases, including data archiving, backups, big data analytics, and disaster recovery.

    Amazon S3 has several types of storage classes designed to meet different data storage and access needs:

    1. S3 Standard: general-purpose storage for frequently accessed data with high durability.
    2. S3 Intelligent-Tiering: automatically moves data to the most cost-effective access tier.
    3. S3 Standard-IA (Infrequent Access): lower-cost storage for data that is accessed less frequently.
    4. S3 One Zone-IA: lower-cost storage for infrequently accessed data, with a single availability zone for data redundancy.
    5. S3 Glacier: extremely low-cost storage for data archiving and long-term retention.
    6. S3 Glacier Deep Archive: the lowest-cost storage option for data that may be needed once or twice a year.

    Each storage class is designed to cater to specific use cases and has different performance characteristics, pricing models, and retrieval times.

  • Adequate protection against accidental deletion of objects in Amazon S3

    There are a few options that you could consider to provide adequate protection against accidental deletion of objects in Amazon S3:

    1. Use versioning: You can enable versioning for your Amazon S3 bucket, which keeps track of all versions of your objects (including all deletions). This way, if an object is accidentally deleted, you can recover it by restoring the deleted version.
    2. Use object locking: You can enable object locking for your Amazon S3 bucket, which allows you to lock objects so that they cannot be deleted or overwritten for a specified period of time. This can help prevent accidental deletion of objects.
    3. Use cross-region replication: You can set up cross-region replication for your Amazon S3 bucket, which replicates objects to a destination bucket in a different region. This can provide an additional layer of protection against data loss due to accidental deletion or other issues in the primary region.
    4. Use Lifecycle policies: You can use Lifecycle policies to automate the transition of objects to different storage classes or to delete objects that are no longer needed. This can help reduce the risk of accidental deletion by ensuring that objects are only retained for as long as they are needed.

  • Tips for studying for the AWS Certified Solutions Architect Associate exam

    Here are a few tips for studying for the AWS Certified Solutions Architect Associate exam:

    1. Review the exam blueprint: The exam blueprint is a detailed outline of the topics and concepts that will be covered on the exam. Reviewing the blueprint can help you focus your studies and ensure that you are thoroughly prepared for the exam.
    2. Use AWS documentation and whitepapers: AWS provides a wealth of documentation and whitepapers that can be helpful for studying for the exam. Make sure to read through these materials and become familiar with the various services and technologies that are covered on the exam.
    3. Take practice exams: There are many practice exams available that can help you prepare for the AWS Certified Solutions Architect Associate exam. These exams can help you get a feel for the types of questions that will be on the exam, as well as identify areas where you may need to focus your studies.
    4. Use online resources: There are many online resources available, such as blogs, forums, and online courses, that can be helpful for studying for the AWS Certified Solutions Architect Associate exam. These resources can provide additional information and guidance to help you prepare.
    5. Attend training courses: AWS offers a range of training courses that can be helpful for studying for the AWS Certified Solutions Architect Associate exam. These courses can provide hands-on experience with the technologies covered on the exam and help you build a solid foundation of knowledge.

  • AWS Lambda Pricing

    AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers, creating workload-aware cluster scaling logic, maintaining event integrations, or managing runtimes. With Lambda, you can run code for virtually any type of application or backend service – all with zero administration. Just upload your code as a ZIP file or container image, and Lambda automatically and precisely allocates compute execution power and runs your code based on the incoming request or event, for any scale of traffic. You can set up your code to automatically trigger from over 200 AWS services and SaaS applications or call it directly from any web or mobile app. You can write Lambda functions in your favorite language (Node.js, Python, Go, Java, and more) and use both serverless and container tools, such as AWS SAM or Docker CLI, to build, test, and deploy your functions.

    Screenshot-2021-06-12-at-1-43-10-AM

    https://aws.amazon.com/lambda/pricing/

  • Developing with AWS