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Why I am still writing blogs on my own even in AI Era?

After thinking, days and months finally I wanted to pen my thoughts here in my very own way about this topic.. So why am I writting blogs on my own, even in AI Era? The short answer is, I like stock, native, raw, straight, natural, more'ly human, less'ly contents, highly knowledge and personally preferable blog. The long answer is, ✓ I like to share my knowledge, I repeat ' my knowledge '.  ✓ If I go with AI it's like sharing 1000's of other people knowledge, why should I even share other's, when I am learning many and have lot to share. ✓ I am not writing contents to attract the readers or audience, I write to my experience as a logs, assuming myself, it may benefit others at some point, not immediately today. ✓ Everyone will have their own opinions, styles and choice of saying things, I had my own which I sure, AI can't mimic today. ✓ Everybody can creates contents just like that with AI, but not everyone can produce the knowledge you poss...

Hidden things About Amazon SageMaker Studio

Did you know about Amazon SageMaker Studio❓ 🤔 Like you, I initially believed that this service was only for data-related tasks and that regular engineers/developers weren't supposed to use it. ✒️ However, after using it for a while, I would suggest that it can help you with more than just data related tasks. In fact, an organization can use SageMaker Studio to bring their entire SDLC 💪. 😬 Because of its data'ish ness like gimick we (normal non-data developers) always felt, "Oh, SageMaker, it's expensive 😱 so no, no don't go that side 🤐." 😷 As a result, we shrank and missed the hidden gem 💎 and its possibilities, as well as the opportunity to utilize such a fantastic and powerful tool 🔥. ✒️ Let me give you some glimpse with a preview of what SageMaker Studio is capable of. ✒️ SageMaker is big service, but in this post am limiting my context towards SageMaker Studio only. ✒️ And mostly, this write-up is for developers who enjoy writin...

What are Amazon EventBridge Pipes?

Are you struggling 😫, writing complex integration code to connect between your source and targets in AWS? 🤔 Then 😀, this post is for you 👇 🚩Spoiler Alert: I will talk about AWS Pipes, a service that simplifies event-driven architecture development by minimizing the need for specialized knowledge and integration code, promoting consistency across your applications. So, What are Amazon EventBridge Pipes? 🤔 ✒️ Amazon EventBridge Pipes connects sources to targets. ✨ Imagine you have a magical pipe that connects different parts of your application like a super efficient postal service. 😀 That’s exactly what Amazon EventBridge Pipes does! 🌟 It connects sources (like your favorite coffee shop’s order system) to targets (like your delivery service) with a sprinkle of advanced transformations and enrichment inbetween. ⛲ Features that makes this service outsmart are: ✒️ Point-to-Point Integration: Think of it as a direct line from your coffee order to your doorstep....

Is AI Taking Over the World? (Or) Just Your To-Do List?

  Is AI Taking Over the World? (Or) Just Your To-Do List? Artificial intelligence. It's everywhere. From the smart speakers in our homes to the algorithms curating our social media feeds, AI is rapidly transforming the world around us. But is this a cause for celebration or concern? And more importantly, how can you harness its power to improve your life today ?📌 The truth is, AI isn't about sentient robots taking over the world (at least, not yet 🙂). Instead, it's about creating smarter tools that can automate tasks, analyze data, and help us make better decisions. Think of it less like Skynet and more like a super powered personal assistant. This blog post will explore the practical applications of AI, focusing on how it can boost your productivity and simplify your life. Will also touch on some of the ethical considerations surrounding this powerful technology. Some Realtime Example About Boosting Your Productivity with AI: Smart Scheduling: AI powered calendar ap...

Are you scared of AI is coming around?

Are you scared of AI is coming around 🤒❓ 👉 If you’re feeling a bit overwhelmed or even threatened by seeing all the AI tools popping up everywhere, you’re not alone. Don't worry 🙂. #AI ✒️ It’s like having a new coworker 👨‍💻 who’s way too eager to help and like, your overly enthusiastic intern 🤓 who thinks and provide suggestions for every other topics discussed in the daily sync up. ✒️ It’s like asking for a basic function and getting a full class with inheritance and polymorphism 🤯. ✒️ Before you start with AI and Co, you should remember that, It’s like asking for a glass of water and getting a full buffet 🍱🥘🍜 instead. So don't get over excited 🤩 and eat and get stomachache and don't regret or feel sad for yourself later 🤮. Take the things which really fits in your plate. ✒️ Yes, AI can replace the task you are doing, but Not the task master in you 😎. ✒️ Think of AI as your new coding buddy. It can handle repetitive tasks, leaving you more t...

A Conversation between Simba and Mufasa about AI

A Conversation between Simba 🐯 & Mufasa 🦁  about AI (Artificial Intelligence) Simba: Dad, have you heard about this thing called AI? Mufasa: Yes, my son. It’s a tool that can help us in many ways. Simba: But what if it takes over everything? What if one day, all the animals in the Pride Lands start asking AI to do their jobs? Mufasa: Simba, remember that while AI can assist us, it cannot replace the heart and spirit of the Circle of Life. Simba: So, you’re saying I shouldn’t worry? Mufasa: Exactly. Embrace AI as a friend, not a foe. It can help you hunt for ideas, but it can’t replace your instincts or your roar! Simba: So, I can still be the king, even with AI around? Mufasa: Of course! Just remember, the true strength of a king lies in his ability to adapt and grow, not just in what tools he uses. Simba: Thanks, Dad! I guess I’ll just have to learn to work with AI instead of worrying about it! Mufasa: That’s the spirit, my son. Now, let’s go find some lunch—AI can’t help ...

Google AI Studio is Live

Google AI Studio is Live 🥳 🌟 Possibly, Google's comeback in the AI race 🏁 with this release of new stream realtime option with Multimodal live API with Gemini 2.0. 🧐 Everyone wants that one technical guy as friend right? for quick answer or doubts. What if the tech guy is busy or unavailable due to his stuffs and you need an immediate technical assistance. 🤖 Yes, in this world of GPT's you have many options to do it today. Here is one more and easy to play with Google Gemini 2.0 with its AI Studio Live. 🥳 Now it supports interaction with Gemini models in real time using text, voice, video and screen sharing 🤩 🎁 Yes I know, our developers favourite is screen sharing option. Using which you can screen share and start interacting just like, asking your team mate on call to help you troubleshooting or writing a complex logic. 🛠️ Supports easy API option, which opens up wider range of applications use case and usability of the Gemini Models faster. 🔧 You...

Amazon Nova - New Foundation Models In Play

Amazon Nova - New Foundation Models In Play, Amazon entered in the race along with Open AI, Google and others. What is Amazon Nova? 🧐 🆕 A new generation of foundation models (FMs) with low cost price and better performance and available exclusively in Amazon Bedrock and comes in two categories such as Understanding Models and Creative Content Generation Models. ☝️ Amazon Nova understanding models accept text, image or video inputs to generate text output. 🕐 Amazon Nova Micro :- 🤖 Text summarization, translation, content classification, interactive chat and brainstorming and simple mathematical reasoning and coding. 🕑 Amazon Nova Lite :- 🤏 A very low-cost multimodal model that is lightning fast for processing image, video and text inputs to generate text output. 🕒 Amazon Nova Pro :- 💪 Strong capabilities in processing both visual and textual information and excels at analyzing financial documents. With an input context of 300K tokens, it can process code bas...

Amazon Q Developer Agents Can Now do more

Amazon Q Developer Agents Can Now do more than Helping You write Code Amazon Q Developer - Yes, yes that code generating assistant only. ⚡AWS just gave Amazon Q Developer a brain 🧠 boost. 🥴 Have you ever got bored of writing documents for the code you have written?🧐 🥺 Asked senior dev for code review, which never happened because they are occupied with their own tasks? 🧐 I can hear you, saying 'Everytime' 😅. 🎟️ Now you can get some helping hand, from Amazon Q Developer Agents. 🤖 This AI coding buddy can now write docs faster than you can say ' README.md ' 🔍 Review code like a caffeinated senior dev at 1 AM and throw out unit tests quicker than you can break the build. 🦸‍♂️ It's like having a super intern who never sleeps, doesn't drink all your coffee and won't steal your comfortable seating chair in office 😉. 🐣Previously, ✏️(/dev) - can generate real time code suggestions based on your comments and existing code, bootstra...

Power of AWS Step Functions

Are you writing Python or Node.js code to do Automation or Pull Reports or Inventory in AWS? 💯 If yes, this post is for you and probably you may end up like this read and learn something new today. 🚨 Spoiler Alert 😅:- Am going to talk about AWS Step Functions. ⭐ Yes, with recent advances rolled out in step functions, we can do lot more than, what we thought it does and what we are doing with it. 🧐 Previously we would have used step functions for cases like :- ✍️Lambda can't run beyond 15 mins, so if we want more wait time for some task, we used to call step functions and wait there and re-trigger lambda to process same event. ✍️To call multiple lambda in sequence or parallel, we would have used it. 🖇️Basically what we do is, always we keep our core logic in lambda and just used step functions for so called "orchestration" to call lambda in different patterns. If you agree with me, then below are some real time use cases, you can try and unleash the real p...

AWS Step Functions Supports Variables and JSONata

AWS Step Functions Supports Variables and JSONata Step Functions - Yes, that orchestrator or workflow service in AWS used to be used primarily to call lambda functions in various formats or orders, but in recent years, it has become more and more popular due to its support for nearly all of the key AWS SDK integrations. 🌟 In fact, some things, no no many things can be done only by using step functions without even having a lambda functions or needing to write python or node.js code. 😫 But while writing step functions as an developer, Obviously you and me, for sure come across this situation of writing extra, extra steps to do simple manipulation of data in input or result and pass through to other steps. 😀 Now you don't need to do that, anymore. Your step functions can get smaller, lighter and shorter with less pass through manipulation states. 😅 Without further hyping, let's see what is that feature released by AWS. 📢 Variables :- ✓ With this option, you can declar...

AWS App Studio

AWS App Studio Now you can build enterprise level apps in AWS with AI by just chatting 🗨️ and it's generally available 🔓 for use 🏌️‍♂️. 😫Struggling with, writing front end code, backend code and then creating resources in AWS, since all three need different mindset and different people or full stack engineer, here is your time saviour. 🤩 💎Just describe what you want in plain English and get created as app and run in AWS in minutes. 🔥App Studio handles deployments, operations and maintenance, allowing users to focus on solving business challenges and boosting productivity. 🎉App Studio can create completely functional apps with data models, multi page user interfaces and custom business logic according to AWS. 📢 Selling point of this Service: You can use natural language processing to further modifying and customizing the applications or its components.✌️ 💯 This service comes under the new concept of so called "No code or low code app". With ju...

AWS CloudFormation Hooks

AWS CloudFormation Hooks Cloudformation - Yes, that JSON/YAML code which you write and deploy, to create resources in AWS. So, What is Hooks? 🔍 Hooks provide an option to evaluate your CloudFormation resources before it's get provisioned. 😼 It's like you are smelling the food before and knowing, whether the food will be good or not. 😋 Basically you don't eat bad food and stuck with stomach ache right? In the same fashion, What if you can smell the bad template before hand and ignore before it's provision, nice isn't? 🤩 🧷 A Hook contains code that is invoked immediately before CloudFormation creates, updates or deletes stacks or specific resources. 🩺You can also consider, Hook as your doctor 👨‍⚕️ for your cloudformation templates. What does your doctor do to you? He will either prescribe medication to avoid illness before arrive or to treat the illness you already have, right? 😀 What if I told you that these qualities are the core of clou...

GitHub Basics: Essential Commands

GitHub Basics: Essential Commands GitHub is a popular platform for version control, collaboration, and code sharing. It’s an essential tool for developers, enabling them to track changes, work together on projects, and manage their code effectively. Essential GitHub Commands Here are some fundamental Git commands and their uses: 1. Git Init: Purpose: Initializes a new Git repository in the current directory. Command: git init 2. Git Clone: Purpose: Clones an existing Git repository from a remote repository. Command: git clone [repository_url] 3. Git Add: Purpose: Adds changes to the staging area, preparing them for commit. Command: git add [file_name] or git add . (to add all changes) 4. Git Commit: Purpose: Commits changes from the staging area to the local repository. Command: git commit -m "[commit message]" 5. Git Push: Purpose: Pushes changes from the local repository to a remote repository. Command: git push origin [branch_name] 6...

AI's Impact on the Future of Work: A Comprehensive Guide

Artificial Intelligence (AI) is rapidly transforming industries and reshaping the future of work. As AI technology continues to advance, it's essential to understand its potential impact on jobs, skills, and the overall workforce. How AI is Changing the Workplace Automation of Routine Tasks: AI-powered automation tools can streamline repetitive tasks, freeing up human workers to focus on more strategic and creative endeavors. Enhanced Decision-Making: AI algorithms can analyze vast amounts of data to provide valuable insights, enabling better decision-making. Improved Customer Service: AI-powered chatbots and virtual assistants can provide efficient and personalized customer support. New Job Opportunities: The rise of AI will create new job roles, such as AI engineers, data scientists, and machine learning specialists. The Impact on Jobs While AI has the potential to automate certain tasks, it's important to note that it's unlikely to replace human work...

AI: The Invisible Hand Shaping Our Future

Artificial intelligence (AI) is no longer a futuristic concept. It's woven into the fabric of our daily lives, from the moment we wake up to the time we go to bed. Let's explore how AI is transforming industries and individual experiences. Examples: AI in Our Pockets: Smartphones: AI powers features like facial recognition, voice assistants, and intelligent photo editing. Social Media: AI algorithms curate personalized news feeds and suggest friends. E-commerce: AI-driven recommendation systems help us discover products we might love. AI in Healthcare: Medical Diagnosis: AI-powered tools can analyze medical images and detect diseases earlier. Drug Discovery: AI accelerates the process of discovering new drugs. Personalized Medicine: AI helps tailor treatments to individual patients' genetic makeup. AI in Transportation: Self-Driving Cars: AI is paving the way for autonomous vehicles, promising safer and more efficient transportation. ...

AWS Glue Python Shell Job: A Flexible Approach to Data Processing

AWS Glue is a fully managed ETL service that makes it easy to extract, transform and load (ETL) complex data sets from various sources. One of its powerful features is the Python Shell Job, which allows you to write custom Python code to process your data. What is a Python Shell Job? A Python Shell Job is a type of ETL job in AWS Glue that executes Python code within a specified environment. This provides a flexible and customizable way to perform complex data transformations, data cleaning and data analysis. Key Benefits of Python Shell Jobs: Flexibility: Write custom Python code to tailor your data processing logic to specific requirements. Scalability: Leverage AWS Glue's serverless architecture to scale your jobs automatically. Integration with Other AWS Services: Seamlessly integrate with other AWS services like S3, Redshift and DynamoDB. Built-in Libraries: Access a wide range of Python libraries for data manipulation, analysis and machine learning. Easy ...

AWS Step Functions: Orchestrating Your Serverless Workflows

AWS Step Functions is a fully managed service that allows you to visualize, build, and coordinate complex distributed applications using simple drag-and-drop interface or code. It helps you to break down complex processes into smaller, manageable steps called states. These states can be executed sequentially, in parallel, or conditionally, making it easier to manage and scale your applications. Key Benefits of AWS Step Functions: Visual Workflow Design: Create intuitive visual workflows using a drag-and-drop interface. Serverless Execution: Scale your applications automatically without managing servers. Error Handling and Retries: Built-in mechanisms to handle errors and retry failed steps. Timeouts and Dead-Letter Queues: Ensure reliability and prevent job failures. Integration with Other AWS Services: Seamlessly integrate with a wide range of AWS services. Common Use Cases: Data Processing Pipelines: Orchestrate complex data pipelines involving multiple steps...

How to Host Your Website on GitHub Pages: A Beginner's Guide

GitHub, primarily known as a code repository platform, offers a fantastic feature called GitHub Pages, allowing you to host static websites directly from your repositories. This means you can deploy your website without the need for a traditional web hosting provider. In this guide, will walk you through the steps of creating and hosting your own website on GitHub Pages. Prerequisites: A GitHub account Basic understanding of HTML, CSS, and JavaScript Step-by-Step Guide: Create a New Repository: Log in to your GitHub account and create a new repository. Name your repository with your username followed by .github.io . For example, if your username is "yourusername," the repository name should be "yourusername.github.io." Add Your Website Files: Create an index.html file as the main page of your website. Add any other necessary HTML, CSS, and JavaScript files to the repository. You can use a variety of tools like VS Code, Sublime Text, or online editor...