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How to Build CI/CD Pipeline: GitHub to AWS

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 Creating a CI/CD pipeline to deploy a project from GitHub to AWS can be done using various AWS services like AWS CodePipeline, AWS CodeBuild, and optionally AWS CodeDeploy or Amazon ECS for application deployment. Below is a high-level guide on how to set up a basic GitHub to AWS pipeline: Prerequisites AWS Account : Ensure access to the AWS account with the necessary permissions. GitHub Repository : Have your application code hosted on GitHub. IAM Roles : Create necessary IAM roles with permissions to interact with AWS services (e.g., CodePipeline, CodeBuild, S3, ECS, etc.). AWS CLI : Install and configure the AWS CLI for easier management of services. Step 1: Create an S3 Bucket for Artifacts AWS CodePipeline requires an S3 bucket to store artifacts (builds, deployments, etc.). Go to the S3 service in the AWS Management Console. Create a new bucket, ensuring it has a unique name. Note the bucket name for later use. Step 2: Set Up AWS CodeBuild CodeBuild will handle the build proces
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The Exclusive Way to Declare Variables in Oracle Procedure

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There are four data types in PLSQL. Those are Numeric, Char, Boolean, and Date/Time. Each data type and its features are demonstrated. And explained how to declare variables in PLSQL procedure. Data types Here are the four popular data types in PLSQL. 1. Numeric DEC, DECIMAL, and NUMERIC are used to declare fixed-point numbers with a precision of a maximum of 38 decimal digits. INTEGER, INT , and SMALLINT declare integers with a maximum precision of 38 digits. 2. Char Char and Varchar data types support storing data of 1 t0 2000 bytes. The VARCHAR2 supports 1 to 4000 bytes of data. The VARCHAR and VARCHAR2 release the unused space in memory,  3. Date/Time The range for the Date is from 01-Jan-4712 BC to 31-DEC-9999. It stores the data in date format DD-MON-YYYY. The value is written in single quotes. 4. Boolean BOOLEAN datatype stores logical values and can be either TRUE or FALSE. Declare variables The Declare block in PL/SQL is reserved for variable declaration. The code between beg
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Python Supports These 5 Native Data types

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Python supports five native data types. The Data types are such that a Programmer can use to write the logic and get the output. Many beginners may not aware of native data types. So I am adding a short note on that here. Native means as is Python supported data types. Python Five Key Native Data Types Python Native Data Types In Python, you can find five types of native data types. Here is a quick list for you. Those are Number, String, List, Tuple, Set, and Dictionary. 1. Number For all the numeric values,  you can use this data type. 2. String It handles all Characters, Special-symbols, and Alphanumeric values. 3. List It is something like sequential data. A program can do Sort, Merge, etc. on this data. 4. Tuple Data is a little different from the List. 5. Set This kind of Data-type helps you to do set operations. Those are like Intersection, Difference, etc. 6. Dictionary Here, the Dictionary something like a group of List kinds of data. But, each value has a key associated with i
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