Cloud W Bas

01/05/2019

Join us at the first Azure Hands-on session (MS Azure Storage):

https://www.meetup.com/Cloud-Hands-On/events/261074486/

Sat, May 4, 2019, 7:00 PM: Join us in the first MS Azure session (Azure Storage).Please be prepared and keep your enthusiasm 💪🏻. Don't forget to bring your laptop.

19/04/2019

Join us in the first AWS project lab ( Build a WordPress Website)
https://www.meetup.com/Cloud-Hands-On/events/260723052/

Sat, Apr 20, 2019, 7:00 PM: Join us in the first AWS project lab ( Build a WordPress Website). Our apologize for the last session. It was going to be AWS RDS and the next one a project. In order to co

07/04/2019

Join us on coming AWS Hands-On session (RDS Lab)
https://www.meetup.com/Cloud-Hands-On/events/260425912/

Sat, Apr 13, 2019, 7:00 PM: Join us on Amazon Relational Database Service Hands-on session (RDS Lab), you are all invited to bring your laptops to practice during the session.

09/03/2019

Join us on coming AWS lab (Hands-On) session.
https://www.meetup.com/Cloud-Hands-On/events/259627156/

Sat, Mar 16, 2019, 8:00 PM: Join us on the second AWS Hands-on session (S3 Lab), you are all invited to bring your laptops to practice during the session.

06/03/2019

I hope you all fine and healthy
This survey to select the most suitable time for the second Hands-On session in Riyadh, so please share with us the most preferable time and also you can share the link with who is interested: https://goo.gl/forms/8rH53RtbucWFtUZ53

Cloud W Bas - AWS QuikLab (S3)

24/02/2019

Join me at AWS Labs (Hands-on)

Wed, Feb 27, 2019, 7:00 PM: We will start with the AWS essential Labs (EC2 and IAM), you are all invited to bring your laptops to start practicing during the session.

21/02/2019

Time series databases are used to efficiently collect, synthesize, and derive insights from enormous amounts of data that changes over time (known as time-series data).

Used for: IoT applications, DevOps, and industrial telemetry.

AWS Offering:

• Amazon Timestream

20/02/2019

Graph databases are used for applications that need to enable millions of users to query and navigate relationships between highly connected, graph datasets with millisecond latency.

Used for: Fraud detection, social networking, and recommendation engines

AWS Offering:

• Amazon Neptune

19/02/2019

Key-value databases are optimized to store and retrieve key-value pairs in large volumes and in milliseconds, without the performance overhead and scale limitations of relational databases.

Document databases are designed to store semi-structured data as documents and are intuitive for developers to use because the data is typically represented as a readable document.

Used for: Internet-scale applications, real-time bidding, shopping carts, and customer preferences, Content management, personalization, and mobile applications.

AWS Offering

• Amazon DynamoDB

18/02/2019

In-memory databases are used for applications that require real time access to data. By storing data directly in memory, these databases provide microsecond latency where millisecond latency is not enough.

Used for: Caching, gaming leaderboards, and real-time analytics.

AWS Offerings:

• Amazon ElastiCache for Redis
• Amazon ElastiCache for Memcached

17/02/2019

Relational databases store data with pre-defined schema and relationships between them, designed for supporting ACID transactions, maintaining referential integrity, and data consistency.

Used for: Traditional applications, ERP, CRM, and e-commerce.

AWS Offerings

• Amazon Aurora
MySQL, PostgreSQL
• Amazon RDS
MySQL, PostgreSQL, MariaDB, Oracle, SQL Server
• Amazon Redshift

https://www.youtube.com/watch?v=eMzCI7S1P9M&feature=youtu.be

Learn more about Amazon RDS and get started using the AWS Free Tier at - https://amzn.to/2CMqtwQ. Relational databases are at the heart of your most critical...

14/02/2019

Amazon Elastic File System (Amazon EFS) provides simple, scalable file storage for use with Amazon EC2 instances in the AWS Cloud.

It delivers a file system interface with standard file system access semantics for Amazon EC2 instances. EFS grows and shrinks capacity automatically, and provides high throughput with consistently low latencies. EFS is designed for high availability and durability, and provides performance for a broad spectrum of workloads and applications, including Big Data and analytics, media processing workflows, content management, web serving, container storage, and home directories.