TechCuriosity

In the digital age, ensuring the security of data is very important. As businesses increasingly migrate their operations to the cloud, they face the challenge of safeguarding sensitive information from unauthorized access. Amazon Web Services (AWS) offers a robust solution to this challenge through its Key Management Service (KMS) and the concept of KMS keys. In this article, we'll explore KMS keys in simple terms, understand their significance, delve into various use cases, and discuss best practices for working with them. What are KMS Keys? Let's start with the basics. Imagine you have a treasure chest filled with valuable items. You wouldn't leave it unlocked for anyone to access, right? Similarly, in the digital world, sensitive data needs to be protected using encryption — a process of converting information into a code to prevent unauthorized access . KMS keys are like the keys to that treasure chest, but for your digital data. In AWS, KMS keys are cryptographic keys ...

AWS Lambda is a serverless computing service provided by Amazon Web Services (AWS) that allows you to run code without provisioning or managing servers. It lets you execute code in response to events such as changes in data, HTTP requests, or scheduled events, without the need to manage infrastructure. So, we can invoke lambda directly from Amazon Event Bridge rule or from SQS. Here are some important points to keep in mind while working with AWS Lambda: 1. Serverless Architecture : With AWS Lambda, you don't need to provision or manage servers. You upload your code and AWS takes care of scaling and managing the infrastructure needed to run it. But keep one thing in mind, it is possible to upload the code directly to Lambda in AWS in zip format, but use this approach only when you want to develop the Lambda locally.  For production ready applications, it is always advisable to deploy Lambda using CICD pipelines. It means build the Lambda code and publish to ECR repository and then...

In the last 2 posts, we looked at what is Docker and why it is needed. In this post, we will try to install docker and see how the docker client works. To install Docker, download it from the below link as per your OS and install using the installer command  Docker Download Link Once installation is done, execute the “ docker ” command on your terminal or command prompt to see if it got installed correctly or not. If it got installed correctly then you will see the following output on the terminal: As we are going to use our terminal to write docker commands, we need to log in to Docker Hub from our terminal. Use the below command to log in to Docker Hub from the terminal:  “ docker login ”  It will then ask you about your username and password, enter those to log in.  You should be able to see Login succeeded message on the terminal. To check the docker version run “ docker version ” command    Execute the below command to understand how docker actually wo...

In the previous part, we tried to learn, what problem Docker is actually trying to solve. That is a pre-requisite to know before to understand what the Docker is. So, what is Docker? Docker is a platform or we can say it is an independent ecosystem which is used to create and run containers. The Docker Ecosystem contains the following components: 1. Docker Client 2. Docker Server 3. Docker Machine 4. Docker Image 5. Docker Hub 6. Docker Compose We will learn about all of these components one by one. If you remember, in the previous post, we tried to run the below command on our terminal                                                            docker run -it redis So when we ran this command, Docker CLI reached out to Docker Hub to download a single file called image. In the Docker world, an Image is a single fi...

What problem Docker is actually trying to solve? When we try to install software on our computer, there are high chance that we might end up in some error screen. I remember, when I tried to install Redis (a cache software, widely used in Production applications) first time on my system, I got errors and then I had to copy the error code and go to Google to check how to rectify the error. On the Redis installation web page, it explains that just run the below command to install Redis locally. But when I tried to install it I got some errors like the below one: And this is a never-ending loop. Sometimes we try to resolve one issue and land up on a second issue. This is what Docker is trying to solve. It wants to make the software installation easy not just only on our personal computers but also on web servers. If we see the role of Docker in Redis installation: we can directly run the below command and boom, we can see Redis start running in our local system just in seconds. So in a nu...

Amazon Simple Storage Service (S3) is a scalable, secure, and highly available object storage service provided by Amazon Web Services (AWS). Understanding how S3 stores data internally requires delving into its architecture, which involves various components and processes designed to ensure durability, availability, and performance. Let's break down the internal workings of S3: 1. Object Storage Model:    S3 follows an object storage model where data is stored as objects within containers called " buckets ." Each object consists of data, metadata, and a unique identifier. 2. Data Distribution:    When a user uploads an object to S3, the data is divided into smaller parts, known as " chunks " or " blocks ." These blocks are distributed across multiple storage nodes within AWS data centers. 3. Storage Classes:    S3 offers different storage classes, such as Standard, Intelligent-Tiering, Standard-IA (Infrequent Access), One Zone-IA, Glacier, and Glacier ...