#s3 bucket policy

[techdirectarchive]

Backup Repository: How to Create Amazon S3 buckets

Amazon Simple Storage Service (S3) is commonly used for backup and restore operations. This is due to its durability, scalability, and features tailored for data management. Here’s why you should use S3 for backup and restore. In this guide, you will learn baout “Backup Repository: How to Create Amazon S3 buckets”. Please see how to Fix Microsoft Outlook Not Syncing Issue, how to reset MacBook…

[codeonedigest]

Amazon Simple Storage Service Tutorial | AWS S3 Bucket Explained with Example for Cloud Developer

Full Video Link https://youtube.com/shorts/7xbakEXjvHQ Hi, a new #video on #aws #simplestorageservice #s3bucket #cloudstorage is published on #codeonedigest #youtube channel. @java #java #awscloud @awscloud #aws @AWSCloudIndia #Cloud #

 Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. Customers of all sizes and industries can use Amazon S3 to store and protect any amount of data. Amazon S3 provides management features so that you can optimize, organize, and configure access to your data to meet your specific business,…

[remyousa]

I have been in touch with a close friend of mine who works in rather high security data management, whose identity and specific job title they would prefer not to be disclosed, but this is their advice on best practices for a redundant archive system. Per their words: "External hard drives are good, easy to budget for, can be encrypted, and are effectively air-gapped w.r.t. security (they're only vulnerable when actually connected, which you don't necessarily need most of the time). They're not the most reliable medium though, and you run the risk of losing everything due to mechanical failure if they're in regular use or travel.

The completely other end of the spectrum is something like Amazon S3 - it can be encrypted, but is effectively always-connected, so you have to do all the security yourself (which can be a bit of a burden if you're not really technically savvy - honestly, I'm not savvy enough to understand all the ins-and-outs of that one). It's also a subscription service, so you run the risk of losing everything if you don't/can't pay your bill (though it's not expensive, per se, it's still an imperfectly predictable cost and will tend to be more than the cost of buying a hard drive of equivalent size after about a year).

What I've taken to doing, with my own data (which I don't expect to be raided or whatnot, but using my knowledge of archives to drive my own backup policy), is the following:

Keep one copy as the primary archive. For me, this is on my desktop, but could easily be a laptop, external drive (if that's your primary copy), or whatever.

Keep a second copy, that you replicate from the primary regularly, as a backup. For me, this is a linux server that I keep in my basement. It's basically good for "Ooops, I deleted that thing and want it back" or easy sharing from one computer to another. You can set this one up as your "share" space for others to access if you want, or it could be your "whenever the external drive comes back to me, I make a second copy" that you keep on-hand.

Keep a third copy, that you keep off-site. For me, this is an external drive that I keep in my office at work. I replicate from my backup copy to the external drive about 2-3 times a year. If the house burns down, I'll still have (a maybe older) copy of all my data. I wouldn't recommend burying this one in the woods or anything, but something where you've got a synched copy physically separated is key.

If you're doing this only with external drives, each of these would be separate drives:

1 for you to have on-hand as the "full" archive of what you're trying to save.

1 that gets shipped around, and may get dinged up, but is the primary "share" archive.

1 that your most trusted person has at their house, your studio/office, etc.

If you're doing this with servers, you might have something like:

Your laptop where you keep everything organized

A web site, server, AWS S3 bucket, or whatever for folks to access

An external drive where you back stuff up and keep wherever makes sense.

SSDs travel better, but degrade each time they're written to. HDDs are more reliable long-term, but tend to have mechanical failures if they get bounced around. If I were setting this up using only drives, I would make the "share" drive SSD and expect to replace it more often, but the 3rd copy I would make an HDD.

A good rule of thumb is: 3 copies 2 media types 1 copy off-site."

If you haven’t started already, start archiving/downloading everything. Save it to an external hard drive if you’re able. Collecting physical media is also a good idea, if you’re able.

Download your own/your favorite fanfics. Save as much as you can from online sources/digital libraries. Recipes, tutorials, history, LGBTQ media, etc. It has been claimed, though I can’t find the exact source if true, that some materials about the Revolutionary War were deleted from the Library of Congress.

It’s always better to be safe than sorry and save and preserve what you can. Remember that cloud storage also is not always reliable!

Library of Congress - millions of books, films and video, audio recordings, photographs, newspapers, maps, manuscripts.

Internet Archive - millions of free texts, movies, software, music, websites, and more. Has been taken offline multiple times because of cyber attacks last month, it has recently started archiving again.

Anna's Archive - 'largest truly open library in human history.’

Queer Liberation Library - queer literature and resources. Does require applying for a library membership to browse and borrow from their collection.

List of art resources - list of art resources complied on tumblr back in 2019. Not sure if all links are still operational now, but the few I clicked on seemed to work.

Alexis Amber - TikToker who is an archivist who's whole page is about archiving. She has a database extensively recording the events of Hurricane Katrina.

I'll be adding more to this list, if anyone else wants to add anything feel free!

[govindhtech]

Introducing Resource Control Policies In AWS Organizations

AWS Organizations are introducing resource control policies (RCPs), a new kind of authorization policy.

Resource control policies (RCPs)

One kind of organizational policy that you may use to govern access within your company is resource control policies (RCPs). RCPs give you central authority over the highest level of permissions that your organization’s resources can have. RCPs assist you in making sure the resources in your accounts adhere to the access control policies of your company. Only in an organization with all functionalities enabled are RCPs accessible. If your company has merely activated the consolidated billing functionality, RCPs are not accessible.

Resource control policies are not enough on their own to provide your organization’s resources permissions. An RCP does not issue permissions. An RCP establishes restrictions, or a permissions guardrail, on what an identity may do with resources within your company. To truly provide permissions, the administrator still needs to apply resource-based policies to the resources in your accounts or identity-based policies to IAM users or roles.

What is permitted by identity-based and resource-based policies and what is permitted by resource control policies and service control policies (SCPs) logically intersect to form effective permissions.

The resources of the following AWS services are covered by RCPs:

Amazon S3

AWS Security Token Service

AWS Key Management Service

Amazon SQS

AWS Secrets Manager

Evaluating RCPs’ effects

AWS strongly advises against attaching RCPs to your organization’s root without fully evaluating how the policy affects the resources in your accounts. Attaching resource control policies to individual test accounts is a good place to start. You may then move them up to OUs lower in the hierarchy and, if necessary, work your way up through the organization level. Examining AWS CloudTrail logs for Access Denied problems is one method of assessing impact.

Maximum RCP size

Your RCP’s characters all contribute to its maximum size. This guide’s examples demonstrate how to format resource control policies with additional white space to make them easier to read. However, you can remove any white space, including space characters and line breaks outside of quote marks, to conserve space if your insurance size is getting close to the maximum size.

Attaching RCPs to various organizational levels

RCPs can be directly attached to the organization root, OUs, or individual accounts.

RCP’s impact on permissions

One kind of AWS Identity and Access Management (IAM) policy is called an RCP. Resource-based policies are the ones with which they are most closely associated. But permissions are never granted by an RCP. Rather, RCPs are access controls that outline the highest level of authorization that can be granted to resources within your company. Refer to the IAM User Guide’s Policy evaluation logic for further details.

Resources for a subset of AWS services are covered by RCPs.

Only resources handled by accounts affiliated with the organization to which the RCPs have been assigned are impacted. Resources from accounts outside the company are unaffected. Take, for instance, an Amazon S3 bucket that belongs to Account A within a company. Users from Account B outside the company are granted access under the bucket policy, which is a resource-based policy. An RCP is assigned to Account A. Even when users access the S3 bucket in Account A from Account B, that RCP is still in effect. However, when users in Account A access resources in Account B, that RCP is not applicable.

Permissions for resources in member accounts are limited by an RCP. Only the permissions granted by each parent above it are available to any resource in an account. Even if the resource owner attaches a resource-based policy that grants any user full access, a resource in the impacted account does not have that permission if it is blocked at any level above the account.

The resources that are approved as part of an operation request are covered by RCPs. The “Resource type” column in the Action table in the Service Authorization Reference contains these resources. The resource control policies of the caller main account are used if the “Resource type” field contains no resources. For instance, the object resource is authorized by s3:GetObject. Every time a GetObject request is made, the requesting principal’s ability to invoke the GetObject operation is assessed using the relevant RCP. An RCP that has been linked to an account, an organizational unit (OU), or the root of the company that controls the resource being accessed is said to be applicable.

Only the resources in the organization’s member accounts are impacted by RCPs. The management account’s resources are unaffected by them. Nevertheless, this also applies to member accounts that have been assigned administrators.

The RCP is incorporated into the policy evaluation logic to decide whether to grant or deny a principal access to a resource within an account that has an attached RCP (a resource with an applicable RCP).

Regardless of whether the principals are affiliated with the same organizations or not, RCPs affect the effective permissions of principals attempting to access resources in a member account with an appropriate RCP. Root users are included in this. Because RCPs do not apply to calls made by service-linked roles, the exception is when the principals are service-linked roles. RCPs cannot limit service-linked responsibilities, which allow AWS services to carry out essential tasks on your behalf.

Permissions must still be granted to users and roles using the proper IAM permission policies, such as resource-based and identity-based policies. Even if an applicable RCP permits all services, all actions, and all resources, a user or role lacking any IAM permission policies is not granted access.

Resources and entities that are not subject to RCP restrictions

Resource control policies cannot be used to limit the following:

Any modification to the management account’s resources.

No service-linked role’s effective permissions are impacted by RCPs. One special kind of IAM role is a service-linked role, which is directly connected to an AWS service and has all the permissions the service needs to make calls to other AWS services on your behalf. RCPs cannot limit the permissions of service-linked roles. Additionally, resource control policies have no effect on AWS services’ capacity to take on a service-linked role; in other words, they have no effect on the trust policy of the service-linked role.

AWS managed keys for AWS Key Management Service are exempt from RCPs. An AWS service creates, maintains, and uses AWS managed keys on your behalf. Their permissions cannot be altered or managed by you.

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[fromdevcom]

What Is AWS Backup?AWS Backup is the managed backup service provided by Amazon Web Services for its users. It allows users to store data across AWS services in the cloud and on-premises using the AWS Storage Gateway. You can use the AWS Backup Console to centralize and automate the backup of data by configuring backup policies for the AWS resources you use. AWS Backup allows you to automate and consolidate backup tasks for all services, avoiding manual processes, by using backup policies to automate backup schedules. Benefits of AWS BackupCentralizes the Backup Management—by using a central console, you can configure policies to automate the backup according to the configurations you need, including setting backup retention policies in the cloud and on-premises. Automate Backup Processes—you can automate backup schedules, retention management, and lifecycle management. You can apply the backup policies to transfer older backups to cold storage, reducing storage costs. Improve Backup Compliance—encrypting data in transit and at rest. Consolidating activity logs across AWS services, facilitating compliance audits. It complies with PCI, ISO, and HIPAA.How AWS Backup WorksBeing a fully managed backup service provides a policy-based solution to centralize and automate the backup of data across the AWS environment, both in the cloud and on-premises. It has a pay-as-you-go pricing scheme, charging users per-GB. The system works by performing a full backup copy as the first backup and then proceed to do incremental backups as scheduled. To start the backup of AWS resources you should open the AWS backup console and create a Backup Plan. There are several methods you can use: AWS Backup—involves creating a backup plan through the AWS Backup console. You can create a new one from scratch or build one based on an existing plan. In addition, it allows you to assign resources to the plan using tags.AWS Lambda—it is an event-driven serverless computing platform offered by Amazon. It allows running backup procedures based on trigger events from AWS services, such as an S3 bucket writing.In-cloud Backup Solutions—there are many vendors providing in-cloud backup solutions for AWS, offering features that are not supported by AWS Backup.Creating A Backup PlanYou can use the AWS Management Console to configure AWS Backup. There are two ways to create a backup plan in AWS:Build from an Existing Plan—you can create a backup plan based on the configurations of an existing backup plan created by you or by AWS Backup. This allows you to save time, by building on top of existing configurations and only changing what needs updating. Create a new Backup Plan from Scratch—you can choose from the default configuration options specifying the configuration details. For a detailed guide to creating a backup plan see Create a Backup Plan in the AWS site.Backup Plan OptionsWhen you create a backup plan, the AWS Backup console asks you to configure options like a unique backup plan name and the backup rules. These, in turn, consist of the following elements:Backup Rule Name—you should keep in mind rule names are case sensitive. Frequency—this determines how often the system runs a backup, and you can choose every 12 hours, daily, weekly or monthly. Window—the time the backup begins and how long it takes.Other interesting features you should consider to configure are:Lifecycle—helps to transition the backup instances to cold storage when outdated. For example, you can set it to transition to cold after 30 days. Keep in mind that backups need to be stored in cold storage for 90 days before being set to expire. This function only works for Amazon EFS backups, not for Amazon Elastic Block Store (EBS), relational database, or DynamoDB.Backup Vault—this feature allows you to organize your backups in. You can use the default backup or create your customized vault. It allows for encryption using the encryption key in AWS Key Management Service. (AWS KMS). Recommended AWS

Services that Require BackupOrganizations selecting AWS resources for backup should ask how much restore capabilities they need. Companies that only need to back up the data can use AWS Data Pipeline, to move data from S3 to Glacier storage. On the other hand, organizations needing more bare-metal restore capabilities can benefit from EC2 and EBS snapshots. Regardless of the backup method chosen, it is important to select an efficient backup scheme such as Grandfather-Father-Son (GFS), which consists of three backup cycles. That being said, here are some of the AWS services that you should include in your back up plan:Amazon Aurora (Aurora DB Cluster)It is a relational database compatible with PostgreSQL and MySQL. The database allows you to manually take a snapshot of data in the cluster if you want to retain it longer than the backup retention period. Amazon DynamoDBIt is a NoSQL database, with built-in automated on-demand backup, restore and point-in-time recovery. Amazon EC2 (EBS Volumes)It is one of Amazon’s main service, EC2, a cloud-computing platform that gives compute capacity with minimal friction. EBS volumes are backed up using EBS snapshots. Amazon Elastic Block Store (EBS Volumes)This block storage is designed to use with EC2 instances, supporting a range of workloads including big data analytics engines. They can be distributed in multiple Availability Zones, effectively reducing risk, and you can also back them up in S3. Amazon Elasticsearch (Elasticsearch Clusters)This open-source distributed search and analytics engine is very versatile and can be used for an array of cases, from business analytics to security intelligence. At the core of the Elasticsearch is the cluster, consisting of a group of nodes holding data with indexing and search capabilities among them. You can back up these clusters with Amazon Elasticsearch Service Index Snapshots.Amazon Relational Database Service (RDS Database Instances)The Amazon Relational Database Service, ( Amazon RDS) a distributed relational database service, provides scalable capacity and backup automation while being cost-efficient. Amazon S3 (S3 Buckets)With the buckets boasting 99.999999999% (11 9’s) of durability, it is not surprising that Amazon S3 is one of the most popular services in the AWS environment. It is an object storage service designed to work with e-commerce architecture. It provides cold storage on Amazon Glacier and is very cost-effective in terms of storage costs.Wrap UpOrganizations willing to start creating a backup plan in AWS Backup console should consider first their companies storage needs, and choose a backup method. At this stage, it is worth considering using an in-cloud backup solution designed for AWS Backup to ensure that any data that needs to be is backed up, that backups are scheduled on time and that the data is running a lifecycle that helps reduce storage costs.

[vndta-vps]

Cloud Object Storage S3: Giải Pháp Lưu Trữ Đám Mây Tối Ưu

Giới thiệu về Cloud Object Storage S3

Cloud Object Storage S3 (Simple Storage Service) là dịch vụ lưu trữ đám mây phổ biến, được Amazon Web Services (AWS) phát triển, cung cấp khả năng lưu trữ và quản lý dữ liệu với tính bảo mật cao và khả năng mở rộng vượt trội. S3 lưu trữ dữ liệu dưới dạng các đối tượng (objects) thay vì lưu trữ theo cấu trúc tập tin hoặc hệ thống tệp truyền thống. Điều này cho phép người dùng truy cập nhanh chóng và dễ dàng từ bất kỳ đâu, đồng thời tận dụng các tính năng mạnh mẽ của điện toán đám mây.

Cách hoạt động của S3

Cloud Object Storage S3 hoạt động dựa trên mô hình lưu trữ đối tượng, trong đó dữ liệu được lưu dưới dạng các đối tượng trong các "buckets". Mỗi đối tượng bao gồm dữ liệu thực tế, các siêu dữ liệu liên quan (metadata), và một ID duy nhất để định danh. Điều này tạo nên sự linh hoạt trong việc tổ chức và truy xuất dữ liệu.

Bucket: Là nơi lưu trữ các đối tượng. Người dùng có thể tạo nhiều bucket và quản lý chúng một cách độc lập.

Object: Là thực thể lưu trữ dữ liệu (tệp) bên trong một bucket. Mỗi object có một khóa (key) riêng, cho phép truy xuất dễ dàng.

Key: Là định danh duy nhất cho mỗi đối tượng trong bucket, giúp xác định chính xác đối tượng cần tìm.

Ưu điểm của Cloud Object Storage S3

Cloud Object Storage S3 mang lại nhiều lợi ích vượt trội, đặc biệt phù hợp cho các doanh nghiệp và tổ chức đang tìm kiếm giải pháp lưu trữ dữ liệu linh hoạt và tiết kiệm chi phí.

Khả năng mở rộng linh hoạt: S3 có thể mở rộng không giới hạn, cho phép người dùng lưu trữ từ vài GB đến hàng trăm petabyte dữ liệu mà không cần lo lắng về vấn đề dung lượng.

Bảo mật cao: S3 tích hợp các tính năng bảo mật mạnh mẽ như mã hóa dữ liệu tại chỗ và trong quá trình truyền tải, hỗ trợ kiểm soát truy cập bằng AWS Identity and Access Management (IAM), đảm bảo dữ liệu an toàn trước các mối đe dọa.

Độ bền dữ liệu 99.999999999%: S3 được thiết kế với độ bền dữ liệu lên đến 11 số 9, giúp bảo vệ dữ liệu khỏi nguy cơ mất mát và đảm bảo dữ liệu luôn sẵn sàng.

Khả năng tích hợp tốt: Cloud Object Storage S3 dễ dàng tích hợp với các dịch vụ AWS khác như EC2, RDS, và Lambda, tạo nên một hệ sinh thái hoàn chỉnh cho việc xây dựng các ứng dụng đám mây.

Ứng dụng của Cloud Object Storage S3

S3 có thể được áp dụng trong nhiều tình huống và ngành công nghiệp khác nhau nhờ tính linh hoạt và hiệu quả của nó.

Lưu trữ tài liệu & Sao lưu: S3 là lựa chọn lý tưởng để lưu trữ dữ liệu tài liệu, ảnh, video và thực hiện sao lưu dữ liệu quan trọng cho doanh nghiệp.

Phân phối nội dung (CDN): Với sự kết hợp cùng Amazon CloudFront, S3 có thể trở thành nền tảng phân phối nội dung, giúp tối ưu hóa tốc độ truy cập website và ứng dụng.

Big Data & Phân Tích: S3 là giải pháp lưu trữ tuyệt vời cho các bộ dữ liệu lớn, giúp các doanh nghiệp thực hiện phân tích dữ liệu với các công cụ như Amazon Athena hay AWS Glue.

Lưu Trữ Logs & Monitoring: Các tổ chức có thể lưu trữ logs của ứng dụng, hệ thống trong S3 và sau đó phân tích chúng để cải thiện hiệu suất hoặc phát hiện lỗi.

Các tính năng nổi bật của S3

Cloud Object Storage S3 không chỉ mạnh mẽ về khả năng lưu trữ mà còn cung cấp nhiều tính năng giúp nâng cao hiệu quả quản lý dữ liệu:

Versioning: Cho phép theo dõi và lưu trữ các phiên bản khác nhau của một đối tượng, giúp khôi phục dữ liệu khi cần thiết.

Lifecycle Policies: Tự động di chuyển dữ liệu từ các tầng lưu trữ khác nhau (S3 Standard, S3 Glacier) dựa trên thời gian, giúp tiết kiệm chi phí.

Cross-Region Replication (CRR): Cho phép sao chép dữ liệu từ một bucket trong một khu vực này sang một khu vực khác, đảm bảo tính sẵn sàng của dữ liệu.

Event Notifications: Tạo ra thông báo sự kiện khi có thay đổi trên các đối tượng trong S3, tích hợp tốt với các dịch vụ khác như Lambda.

Chi phí sử dụng Cloud Object Storage S3

Chi phí của Cloud Object Storage S3 được tính toán dựa trên các yếu tố như dung lượng lưu trữ, lượng dữ liệu truy xuất, và các yêu cầu API. Người dùng có thể tối ưu hóa chi phí bằng cách lựa chọn các tầng lưu trữ phù hợp như:

S3 Standard: Dành cho dữ liệu truy cập thường xuyên.

S3 Intelligent-Tiering: Tự động chuyển đổi giữa các tầng lưu trữ dựa trên tần suất truy cập.

S3 Glacier & S3 Glacier Deep Archive: Tối ưu chi phí cho dữ liệu lưu trữ lâu dài và ít khi truy xuất.

Kết luận

Cloud Object Storage S3 là giải pháp lưu trữ đám mây vượt trội, phù hợp cho các doanh nghiệp đang tìm kiếm một nền tảng lưu trữ linh hoạt, an toàn và tiết kiệm chi phí. Với khả năng mở rộng không giới hạn, bảo mật mạnh mẽ, và các tính năng quản lý dữ liệu tiên tiến, S3 đã và đang trở thành lựa chọn hàng đầu cho việc lưu trữ dữ liệu trong thời đại số hóa hiện nay. Dù bạn là doanh nghiệp nhỏ hay tập đoàn lớn, S3 có thể giúp bạn tối ưu hóa quy trình lưu trữ và quản lý dữ liệu một cách hiệu quả.

Tìm hiểu thêm: https://vndata.vn/cloud-s3-object-storage-vietnam/

[sophiamerlin]

What Do You Need to Learn in AWS to Land a Job?

This blog will provide a comprehensive guide on what you need to learn to secure a job in this dynamic field.

If you want to advance your career at the AWS Course in Pune, you need to take a systematic approach and join up for a course that best suits your interests and will greatly expand your learning path.

1. Core AWS Services

To establish a strong foundation in AWS, it’s essential to familiarize yourself with the core services that form the backbone of cloud infrastructure. Here are the key areas to focus on:

Compute Services

Understanding compute services is fundamental for deploying applications in the cloud.

EC2 (Elastic Compute Cloud): Learn how to launch and manage virtual servers. Understand instance types, pricing models, and key configurations to optimize performance and cost-effectiveness. Experiment with scaling EC2 instances up or down based on demand.

Lambda: Dive into serverless computing, which allows you to run code in response to events without the need for provisioning or managing servers. This is crucial for modern application architectures that prioritize scalability and efficiency.

Storage Solutions

AWS offers a variety of storage options tailored to different needs:

S3 (Simple Storage Service): Gain expertise in using S3 for scalable object storage. Learn about bucket policies, versioning, and lifecycle management to effectively manage data over time. S3 is ideal for backups, data lakes, and static website hosting.

EBS (Elastic Block Store): Understand how to use EBS to provide persistent block storage for EC2 instances. Familiarize yourself with snapshot creation, volume types, and performance optimization strategies.

Database Management

Databases are critical components of any application:

RDS (Relational Database Service): Study how RDS simplifies database administration by handling backups, patching, and scaling. Learn about different database engines supported (e.g., MySQL, PostgreSQL) and how to set up high availability.

DynamoDB: Familiarize yourself with DynamoDB as a fully managed NoSQL database service. Understand key concepts like tables, items, and attributes, as well as how to implement scalable applications using DynamoDB.

2. Networking Basics

Networking knowledge is crucial for effectively managing cloud environments:

VPC (Virtual Private Cloud)

Learn how to create and configure a VPC to isolate your resources within the AWS environment. Understand CIDR notation, subnets, route tables, and peering connections to design secure and efficient network architectures.

Security Groups and NACLs

Delve into security groups and Network Access Control Lists (NACLs) to control inbound and outbound traffic. This knowledge is vital for maintaining a secure cloud infrastructure while ensuring necessary access for applications.

3. Security and Compliance

Security is a paramount concern in cloud computing, and understanding AWS security features is essential:

IAM (Identity and Access Management)

Master AWS IAM to manage users, roles, and permissions effectively. Learn how to create policies that adhere to the principle of least privilege, ensuring users have only the access they need.

Encryption

 To master the intricacies of AWS and unlock its full potential, individuals can benefit from enrolling in the Best AWS Online Training.

4. Monitoring and Management Tools

Effective resource management is key to a successful AWS environment:

CloudWatch

Learn how to utilize CloudWatch for monitoring AWS resources and setting up alarms to maintain system performance. Understand how to create dashboards and visualize metrics for proactive management.

AWS Management Console and CLI

Get comfortable navigating the AWS Management Console for user-friendly management of resources, as well as using the Command Line Interface (CLI) for automation and scripting tasks. Mastering the CLI can greatly enhance your efficiency and workflow.

5. DevOps and Automation

DevOps practices are integral to modern cloud environments:

Infrastructure as Code

Explore tools like AWS CloudFormation or Terraform to automate resource provisioning and management. Understand how to create templates that define your infrastructure as code, promoting consistency and reproducibility.

CI/CD Pipelines

Learn how to implement continuous integration and continuous deployment (CI/CD) processes using services like AWS CodePipeline. This knowledge is essential for deploying applications rapidly and reliably.

6. Architectural Best Practices

Understanding architectural best practices will help you design robust and scalable solutions:

Well-Architected Framework

Familiarize yourself with AWS’s Well-Architected Framework, which outlines best practices across five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization. This framework serves as a guide for building high-quality cloud architectures.

7. Certification Preparation

Obtaining AWS certifications can validate your skills and significantly boost your employability:

AWS Certified Solutions Architect — Associate

This certification is a popular starting point for many aspiring AWS professionals. It covers a wide range of AWS services and architectural best practices, providing a solid foundation for further learning.

Other Certifications

Consider pursuing additional specialized certifications based on your career interests, such as:

AWS Certified DevOps Engineer: Focused on implementing DevOps practices on AWS.

AWS Certified Security — Specialty: Concentrated on security best practices and compliance in the cloud.

AWS Certified Machine Learning — Specialty: Ideal for those looking to work in AI and machine learning fields.

8. Real-World Projects and Hands-On Experience

Practical experience is invaluable in the cloud computing field:

Hands-On Labs

Take advantage of the AWS Free Tier to experiment and build projects that showcase your skills. Create applications, set up infrastructure, and practice using various AWS services without incurring costs.

Portfolio Development

As you gain experience, develop a portfolio of projects that highlight your AWS capabilities. This portfolio can include personal projects, contributions to open-source initiatives, or any real-world applications you’ve worked on, demonstrating your practical expertise to potential employers.

Conclusion

By focusing on these key areas, you can build a solid foundation in AWS and significantly improve your job prospects in the cloud computing arena. Whether you’re aiming for a role in architecture, DevOps, or cloud management, mastering these skills will put you on the path to success in this exciting and ever-evolving field.

With determination and hands-on practice, you can effectively navigate the AWS ecosystem and unlock a wealth of career opportunities in the digital landscape. Start your journey today and become part of the future of cloud computing!

[markwatsonsbooks]

AWS Certified Solutions Architect - Associate (SAA-C03) Exam Guide by SK Singh

Unlock the potential of your AWS expertise with the "AWS Solutions Architect Associate Exam Guide." This comprehensive book prepares you for the AWS Certified Solutions Architect - Associate exam, ensuring you have the knowledge and skills to succeed.

Chapter 1 covers the evolution from traditional IT infrastructure to cloud computing, highlighting key features, benefits, deployment models, and cloud economics. Chapter 2 introduces AWS services and account setup, teaching access through the Management Console, CLI, SDK, IDE, and Infrastructure as Code (IaC).

In Chapter 3, master AWS Budgets, Cost Explorer, and Billing, along with cost allocation tags, multi-account billing, and cost-optimized architectures. Chapter 4 explores AWS Regions and Availability Zones, their importance, and how to select the right AWS Region, including AWS Outposts and Wavelength Zones.

Chapter 5 delves into IAM, covering users, groups, policies, roles, and best practices. Chapter 6 focuses on EC2, detailing instance types, features, use cases, security, and management exercises.

Chapter 7 explores S3 fundamentals, including buckets, objects, versioning, and security, with practical exercises. Chapter 8 covers advanced EC2 topics, such as instance types, purchasing options, and auto-scaling. Chapter 9 provides insights into scalability, high availability, load balancing, and auto-scaling strategies. Chapter 10 covers S3 storage classes, lifecycle policies, and cost-optimization strategies.

Chapter 11 explains DNS concepts and Route 53 features, including CloudFront and edge locations. Chapter 12 explores EFS, EBS, FSx, and other storage options. Chapter 13 covers CloudWatch, CloudTrail, AWS Config, and monitoring best practices. Chapter 14 dives into Amazon RDS, Aurora, DynamoDB, ElastiCache, and other database services.

Chapter 15 covers serverless computing with AWS Lambda and AWS Batch, and related topics like API Gateway and microservices. Chapter 16 explores Amazon SQS, SNS, AppSync, and other messaging services. Chapter 17 introduces Docker and container management on AWS, ECS, EKS, Fargate, and container orchestration. Chapter 18 covers AWS data analytics services like Athena, EMR, Glue, and Redshift.

Chapter 19 explores AWS AI/ML services such as SageMaker, Rekognition, and Comprehend. Chapter 20 covers AWS security practices, compliance requirements, and encryption techniques. Chapter 21 explains VPC, subnetting, routing, network security, VPN, and Direct Connect. Chapter 22 covers data backup, retention policies, and disaster recovery strategies.

Chapter 23 delves into cloud adoption strategies and AWS migration tools, including database migration and data transfer services. Chapter 24 explores AWS Amplify, AppSync, Device Farm, frontend services, and media services. Finally, Chapter 25 covers the AWS Well-Architected Framework and its pillars, teaching you to use the Well-Architected Tool to improve cloud architectures.

This guide includes practical exercises, review questions, and YouTube URLs for further learning. It is the ultimate resource for anyone aiming to get certified as AWS Certified Solutions Architect - Associate.

Order YOUR Copy NOW: https://amzn.to/3WQWU53 via @amazon

[codeonedigest]

Python Code to Access AWS S3 Bucket | Python AWS S3 Bucket Tutorial Guide

Check out this new video on the CodeOneDigest YouTube channel! Learn how to write Python program to access S3 Bucket, how to create IAM User & Policy in AWS to access S3 Bucket.

@codeonedigest @awscloud @AWSCloudIndia @AWS_Edu @AWSSupport @AWS_Gov @AWSArchitecture

[unogeeks234]

S3 TO SNOWFLAKE

Moving Data from S3 to Snowflake: A Comprehensive Guide

Amazon S3 and Snowflake are potent tools in modern data management. S3 excels as a scalable, cost-effective object storage solution. Snowflake shines as a high-performance cloud data warehouse optimized for analytics. Integrating these two services allows you to unlock the value of your data and derive actionable insights. Let’s explore how to transfer your data from S3 to Snowflake seamlessly.

Prerequisites

Before diving in, ensure you have the following:

AWS Account: An active AWS account with appropriate permissions to use S3.

Snowflake Account: An active Snowflake account with a warehouse created for loading data.

Data in S3: The data you intend to move into Snowflake should be stored in an S3 bucket. Popular formats include CSV, JSON, Parquet, and Avro.

Key Steps

Here’s a breakdown of the primary steps involved:

Configure IAM Roles:

Create an IAM role in AWS, granting it access to your S3 bucket.

Attach necessary policies to this IAM role for reading S3 objects and (optionally) interacting with AWS services like SQS for Snowpipe.

Retrieve the IAM role ARN for use in Snowflake.

Create an External Stage in Snowflake:

An external stage in Snowflake links to your S3 bucket. Use the CREATE STAGE command, providing your S3 bucket details, IAM role ARN, and an optional file format object.

SQL

CREATE OR REPLACE STAGE my_s3_stage

   URL = ‘s3://my-bucket/’

   CREDENTIALS = (AWS_KEY_ID = ‘your_aws_key_id’ AWS_SECRET_KEY = ‘your_aws_secret_key’);

Use code with caution.

content_copy

Load Data with the COPY Command:

Snowflake’s COPY INTO command efficiently moves data from the external stage into your target Snowflake table.

SQL

COPY INTO my_snowflake_table

   FROM @my_s3_stage

   FILE_FORMAT = (TYPE = CSV FIELD_DELIMITER = ‘,’);

Use code with caution.

content_copy

Automate with Snowpipe (Optional):

Snowpipe is a Snowflake feature that allows continuous data loading. It automatically ingests new files added to your S3 bucket as soon as they become available. This is ideal for near real-time data pipelines.

Configure Event Notifications on your S3 bucket to trigger Snowpipe.

Create a pipe in Snowflake:

SQL

CREATE PIPE my_snowpipe AUTO_INGEST = true AS

  COPY INTO my_snowflake_table

  FROM @my_s3_stage;

Use code with caution.

content_copy

Best Practices

File Formats: Consider structured file formats like Parquet or Avro instead of plain CSV for optimal performance.

Data Compression: Compress your files in S3 to reduce data transfer costs and improve loading times.

Error Handling: Implement robust error handling in your data loading scripts to gracefully address potential file formats or data quality issues.

Security: Always prioritize security by adhering to the principle of least privilege when granting IAM permissions.

The Power of Combining S3 and Snowflake

By moving your data from S3 to Snowflake, you:

Enhance Analytics: Access Snowflake’s robust analytical capabilities for deep insights into your data.

Improve Performance: Snowflake’s columnar architecture is optimized for fast querying and complex analysis.

Scale Effortlessly: Snowflake separates storage and computing, letting you scale each independently based on your needs.

Let Data Flow and Insights Follow

The S3 to Snowflake integration empowers you to build robust data pipelines that drive business value.

You can find more information about  Snowflake  in this  Snowflake

Conclusion:

Unogeeks is the No.1 IT Training Institute for SAP  Training. Anyone Disagree? Please drop in a comment

You can check out our other latest blogs on  Snowflake  here –  Snowflake Blogs

You can check out our Best In Class Snowflake Details here –  Snowflake Training

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[brigitapvtltd]

AWS S3: Key Features, Advantages, And Applications

The top provider of object storage services, known as AWS S3, helps protect the data with a scalable, reliable, and secure security solution. This blog serves as a guide for understanding AWS S3 features, advantages, and applications.

What is AWS S3?

The Simple Storage Service (S3) platform from Amazon Web Services (AWS) provides public cloud storage resources known as Amazon S3 buckets. The primary purpose of Amazon's Simple Storage Service buckets is to assist people and businesses with their cloud-based data storage, backup, and delivery needs. Object-based storage stores data in S3 buckets as distinct units known as objects rather than files. 

Key features of AWS S3

A wide range of features are available on Amazon S3 that assist certain use cases in managing and organizing data.

Versioning control prevents accidental deletion of an object, which preserves all versions of the object to perform an operation, such as copying or deleting.

Object tagging controls and restricts access to S3 items, which allows for the setup of S3 lifecycle policies, the development of identity and access management (IAM) policies, and the customisation of storage metrics.

S3 bucket objects automatically replicate across several AWS regions, which supports S3 cross-region replication.

The Amazon S3 Management Console makes it simple to block public access to specific S3 buckets, ensuring that S3 objects and buckets are inaccessible to the general public. 

These features make AWS S3 a reliable and flexible object storage solution for a wide range of use cases.

How is an S3 bucket used?

Step 1: First, an S3 user establishes a bucket in the desired AWS region and provides it with a bucket name that is globally unique. To save money on storage and latency, AWS advises customers to select regions that are close to their location.

Step 2: After creating the bucket, the user chooses a data tier. The price, accessibility, and redundancy of the various S3 tiers vary to store objects from many S3 storage levels in a single bucket.

Step 3: Next, the user uses bucket policies, access control lists (ACLs), or the AWS identity and access management service to specify access privileges for the objects stored in a bucket.

Step 4: An AWS user utilizes the AWS Management Console, AWS Command Line Interface, or application programming interfaces (APIs) to access the Amazon S3 bucket. Using S3 access points with the bucket hostname and Amazon resource names, users can access objects within a bucket.

The advantages of AWS S3

There are several advantages to using AWS S3 for data storage, including:

Increased Accessibility:AWS provides availability zones and regions distributed across several countries worldwide to offer high availability.

Unlimited storage: Customers store data on Amazon S3 without worrying about hard drive failures or other service disruptions as it offers infinite server capacity.

Durability: When two data centers fail at the same time, Amazon S3 is extremely durable and keeps the data in S3 buckets safe. 

Usability: Amazon S3 cloud storage promises rapid, safe access with a variety of tutorials, videos, and other tools to assist customers who are new to cloud computing.

These are some of the many advantages of using AWS S3 for data storage. Its robust and reliable services meet the needs of a wide range of businesses and organizations.

Conclusion

By understanding AWS S3 core features and advantages, it is simple to leverage S3 effectively to manage and protect valuable data in the cloud. Its scalability, security, and cost-effectiveness make it a good choice for a wide range of use cases. Brigita AWS Services offers a robust and versatile object storage solution for businesses of all sizes for better and smoother functioning.

[govindhtech]

SSE-KMS Support Available For Amazon S3 Express One Zone

Amazon Key Management Service (KMS) keys can now be used for server-side encryption with Amazon S3 Express One Zone, a high-performance, single-Availability Zone (AZ) S3 storage class (SSE-KMS). All items kept in S3 directory buckets are already encrypted by default by S3 Express One Zone using Amazon S3 management keys (SSE-S3). As of right now, data at rest can be encrypted using AWS KMS customer managed keys without affecting speed. With the help of this new encryption feature, you may use S3 Express One Zone which is intended to provide reliable single-digit millisecond data access for your most frequently accessed data and latency-sensitive applications to further satisfy compliance and regulatory standards.

For SSE-KMS encryption, S3 directory buckets let you define a single customer controlled key per bucket. You cannot change it to use a different key once the customer managed key has been inserted. Conversely, S3 general purpose buckets allow you to use several KMS keys during S3 PUT requests or by modifying the bucket’s default encryption configuration. S3 Bucket Keys are always enabled when utilizing SSE-KMS with S3 Express One Zone. Free S3 bucket keys can minimize AWS KMS queries by up to 99%, improving efficiency and lowering expenses.

Utilizing Amazon S3 Express One Zone with SSE-KMS

First construct an S3 directory bucket in the Amazon S3 console by following the instructions, and you can use apne1-az4 as the Availability Zone, to demonstrate this new functionality to you. To construct the final name, you automatically add the Availability Zone ID to the suffix you enter in the Base name, which is s3express-kms. Then confirm that Data is stored in a single Availability Zone by checking the corresponding checkbox.

Select Server-side encryption using AWS Key Management Service keys (SSE-KMS) under the Default encryption option. You have three options under AWS KMS Key: Create a KMS key, Enter AWS KMS key ARN, or Select from your AWS KMS keys. In this case, you choose to Create bucket after choosing from a list of previously established AWS KMS keys.

You can now automatically encrypt any new object you upload to this S3 directory bucket using my Amazon KMS key.

SSE-KMS in operation with Amazon S3 Express One Zone

You require an AWS Identity and Access Management (IAM) user or role with the following policy in order to use SSE-KMS with S3 Express One Zone using the AWS Command Line Interface (AWS CLI). In order to successfully upload and receive encrypted data to and from your S3 directory bucket, this policy permits the CreateSession API function.

Using the HeadObject command to examine the object’s properties, you can see that it is encrypted using SSE-KMS and my previously generated key:

You can use GetObject to download the encrypted object:

The object downloads and decrypts itself because your session has the required rights.

Use a separate IAM user with a policy who isn’t allowed the required KMS key rights to download the item for this second test. The SSE-KMS encryption is operating as planned, as seen by the AccessDenied error that occurs during this attempt.

Important information

Beginning the process The AWS SDKs, AWS CLI, or the Amazon S3 console can all be used to enable SSE-KMS for S3 Express One Zone. Assign your AWS KMS key and change the S3 directory bucket’s default encryption option to SSE-KMS. Recall that over the lifespan of an S3 directory bucket, only one customer controlled key may be used.

Regions: Every AWS Region where S3 Express One Zone is presently offered offers support for SSE-KMS utilizing customer-managed keys.

Performance: Request latency is unaffected by using SSE-KMS with S3 Express One Zone. The same single-digit millisecond data access will be available to you.

Pricing: To generate and recover data keys used for encryption and decryption, you must pay AWS KMS fees. For additional information, see the pricing page for AWS KMS. Furthermore, S3 Bucket Keys are enabled by default for all data plane operations aside from CopyObject and UploadPartCopy when utilizing SSE-KMS with S3 Express One Zone, and they cannot be removed. By doing this, AWS KMS request volume is lowered by up to 99%, improving both performance and cost-effectiveness.

Read more on Govindhtech.com

[akhil-1]

AWS Data Engineering Training Ameerpet - Visualpath

AWS Managing duplicate objects

Managing duplicate objects in AWS typically involves identifying and removing duplicate data to optimize storage and ensure data consistency. Here are some common approaches

AWS Data Engineering Training Institute

Identifying duplicates: Use AWS services like S3 Inventory, AWS Glue, or Athena to scan and identify duplicate objects based on criteria such as file name, size, or content.

Removing duplicates:

Manual deletion: Identify and delete duplicates manually using the AWS Management Console, AWS CLI, or SDKs.

                                                     - Data Engineering Course in Hyderabad

Automated deletion: Use AWS Lambda functions triggered by S3 events to automatically identify and delete duplicates based on predefined rules.

Preventing duplicates:

Implement data validation checks to prevent duplicate uploads.

Use unique identifiers or metadata to track and manage objects to avoid duplicates.                                         - AWS Data Engineering Online Training

Versioning:

Enable versioning on your S3 bucket to retain all versions of an object. This can help in managing duplicates and restoring previous versions if needed.

Lifecycle policies:

Use S3 lifecycle policies to automatically transition or delete objects based on predefined rules. This can help manage duplicate or outdated objects more efficiently.                                     - AWS Data Engineering Training Ameerpet

Remember to carefully plan and test any automated processes to avoid accidental data loss or unintended consequences.

Visualpath is the Leading and Best Institute for AWS Data Engineering Online Training, in Hyderabad. We at AWS Data Engineering Training provide you with the best course at an affordable cost.

Attend Free Demo

Call on - +91-9989971070.

Visit: https://www.visualpath.in/aws-data-engineering-with-data-analytics-training.html

[aws-solution-architect]

Why SecApps Learning's AWS Solution Architect Instructor-Led Training Is Your Ultimate Path to Cloud Mastery!

Upon completing the AWS Solution Architect Instructor-Led Training, you will gain expertise in:

Cloud Basics:

Understanding the fundamentals of cloud computing.

Identifying reasons for utilizing cloud services.

Recognizing different cloud service models (IAAS, PAAS, SAAS) and types (Private, Public, Hybrid).

AWS Basics:

Creating an AWS account and setting up billing alerts.

Navigating AWS regions, availability zones, and support centers.

Exploring various AWS services and understanding the AWS infrastructure.

IAM - Identity Access Management:

Creating users and groups in IAM.

Implementing IAM policies and roles.

Enabling Multi-Factor Authentication (MFA) for enhanced security.

EC2 - Elastic Compute Cloud:

Launching and managing EC2 instances for different operating systems.

Configuring security groups, key pairs, and instance types.

Hosting a website on EC2 using Apache web server.

RDS - Relational Database Service:

Setting up and managing RDS instances.

Installing MySQL server on EC2.

Implementing Read Replicas and ensuring database security.

VPC - Virtual Private Cloud:

Creating and configuring custom VPCs.

Managing subnets, route tables, and internet gateways.

Establishing VPC peering and endpoints.

ELB - Elastic Load Balancer:

Understanding load balancing concepts.

Creating different types of Elastic Load Balancers.

Configuring SSL, stickiness, and network load balancers.

Autoscaling:

Implementing Autoscaling with launch configurations and groups.

Setting up Autoscaling for EC2 instances.

S3 - Simple Storage Service:

Exploring S3 features, versioning, and lifecycle management.

Implementing static website hosting on S3.

Configuring security, policies, and encryption for S3 buckets.

AWS CLI:

Setting up AWS Command Line Interface on EC2.

Utilizing CLI for accessing and managing AWS services.

Amazon Route 53:

Configuring DNS with Route 53.

Implementing routing policies and understanding Route 53 operations.

AWS CloudFormation:

Understanding CloudFormation and comparing it with Terraform.

Writing CloudFormation templates for various AWS resources.

AWS Service Monitoring:

Setting up CloudWatch alarms for monitoring.

Utilizing CloudTrail for tracking AWS activities.

Application and Project-Based Approach:

Exploring various AWS services such as SNS, SES, SQS, Lambda, DynamoDB, Beanstalk, etc.

Introduction to DevOps, resume preparation, and mock interview sessions.

By the end of the course, you'll be well-prepared to tackle real-world scenarios as an AWS Solution Architect and have a solid foundation in AWS and DevOps practices.

[vndta-vps]

Quyền Truy Cập và Chia Sẻ Object Storage S3

Chính sách (policies) và Access Control Lists (ACLs) là hai cơ chế quan trọng trong Amazon S3 để quản lý quyền truy cập đối tượng (objects) trong bucket của bạn. Dưới đây là mô tả chi tiết về cả hai:

Chính Sách (Policies):

AWS Identity and Access Management (IAM) Policies: Bạn có thể gán các chính sách IAM trực tiếp cho người dùng, nhóm người dùng hoặc vai trò (roles). Chính sách này xác định quyền truy cập cụ thể, như quyền đọc, ghi, xóa, và các hành động khác trong bucket hoặc đối tượng cụ thể. Chính sách IAM là cách linh hoạt và mạnh mẽ để quản lý quyền truy cập.

Bucket Policy: Bạn có thể thiết lập chính sách bucket để quy định quyền truy cập cho toàn bộ bucket. Chính sách này có thể áp dụng các điều kiện nhất định, như địa chỉ IP, đồng thời hỗ trợ phân vùng (partitioning) dữ liệu trong bucket.

Access Control Lists (ACLs):

ACLs cho phép bạn quy định quyền truy cập cụ thể cho mỗi đối tượng. Bạn có thể áp dụng ACLs cho từng đối tượng riêng lẻ hoặc thiết lập mặc định cho tất cả các đối tượng trong bucket.

Các quyền trong ACLs bao gồm quyền READ (đọc), WRITE (ghi), READ_ACP (đọc quyền truy cập điều khiển), và WRITE_ACP (ghi quyền truy cập điều khiển).

Cả hai phương thức, chính sách và ACLs, có thể được kết hợp để tạo ra một hệ thống quản lý quyền truy cập phức tạp và linh hoạt. Khi triển khai, quan trọng là xác định rõ ràng ai được phép thực hiện những hành động nào và đối với những đối tượng nào, đồng thời duy trì mức bảo mật cần thiết cho dữ liệu của bạn.

Chi tiết: https://vndata.vn/cloud-s3-object-storage-vietnam/