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Unleashing the Full Potential of AWS Lambda with Containers
AWS Lambda has revolutionized serverless computing by allowing developers to run code without the hassle of provisioning and managing servers. However, even though AWS Lambda functions are powerful, they still come with limitations that significantly impact scalability, dependency management, and runtime flexibility. In this guide, we will explore the [...]
Guarding the Genome: Ensuring Security Compliance for Genomic Data on AWS
Introduction “Guard”? You’ve read the title and probably thought to yourself, “This sounds serious..." If you have read the previous articles related to bioinformatics in AWS, you know we are dealing with biological data. If you haven't, you can check them out here as well. Due to the innovation [...]
Streamline your SageMaker Environments using Terraform
Bookmarks Advantages of using Terraform in SageMaker AI Disadvantages of using Terraform in SageMaker AI Solution Overview Solution The high-level steps to implement this solution with Terraform Pre-requisites for provisioning SageMaker AI Studio with Terraform Create the S3 Bucket and DynamoDB for [...]
Maximizing ROI: Analyzing Google Ads Spend vs. Sales Performance
In digital marketing, every spent on advertising should contribute to measurable growth. But how do you determine if your Google Ads investment is truly delivering results? Businesses can assess the direct relationship between ad spend and conversions by analyzing key data from Google Ads and Google Analytics. This blog [...]
Pushing Application Logs from Amazon Lightsail to Amazon CloudWatch: A Step-by-Step Guide
In my previous article, I mentioned how you can use your application logs hosted on an Amazon Lightsail instance to create a subscription filter in Amazon CloudWatch. But have you ever wondered how to push your application logs from your Lightsail instance to CloudWatch? Unlike in the EC2 instance, [...]
How to Automate Storage and Memory Space Monitoring in Amazon EC2 with CloudWatch and Slack
Managing resources effectively is crucial when operating in the cloud. One important aspect of managing Amazon EC2 instances is monitoring storage and memory usage. Storage space, primarily driven by Amazon Elastic Block Store (EBS), and memory (RAM) are two critical resources that need constant monitoring to avoid performance degradation [...]
Website Down? How to Manually Increase Amazon EBS Volume Size and Get Back Online Fast!
It was a regular day, and everything was running smoothly—customers were browsing your website, orders were coming in, and business was booming. The server was handling traffic efficiently, and everything seemed to be operating as expected. But then, disaster struck—your website suddenly crashed. Panic set in as you scrambled [...]
Seamless Monitoring: Get Slack Alerts for Every AWS Lambda Function Update
Keeping track of updates in your AWS Lambda function seems like an easy task, but it is actually time-consuming. Leaving your Lambda function unattended after deployment may incur risks in missing crucial updates that may affect its overall performance and functionality. And most of the time, you also do [...]
SST: Effortless Full-Stack Deployment on AWS
Thinking of other ways how to deploy your full-stack web applications to AWS? Well, there is open-source framework that we can use to deploy web applications to AWS without ever touching the AWS Console because we know how easy it is to get lost in the number of services [...]
The Evolving Landscape of Digital Dialogue: DeepSeek vs. ChatGPT
In the sprawling digital age, where information spreads like a rapidly growing network, and the need for intelligent interaction grows significantly, artificial intelligence has stepped into the spotlight, transforming how we engage with technology and machines. DeepSeek and ChatGPT have emerged as important players in the field of natural [...]

In-Place Querying in AWS

When you look at the Gartner magic quadrant of cloud service providers, AWS is still the leader and the leading visionary of the cloud computing space. It offers an array of services that empower companies and organizations to manage and analyze massive sets of data with unprecedented agility. At the core of this revolution, “In-place querying” is a technique pioneered by AWS that is reshaping how data is processed in the cloud. In this [...]

Batch Data Ingestion Simplified in AWS

Today's tech industry is dominated by Big Data and Cloud Computing. It is crucial for companies and organizations to efficiently manage large volumes of data. To address this important need, AWS offers robust solutions for handling these chunks of large data, particularly through batch data ingestion. This process involves collecting and importing bulk or big data into storage or other processing systems at regular intervals or specific events. Batch data ingestion is crucial for [...]

Data Ingestion in AWS: Handling Homogenous and Heterogenous Data

The phrase "data is the new oil" or "data is the new gold" may sound like a cliche, but it captures the fact that data is a critical asset for modern businesses. Companies have long used data to inform strategic decisions, especially in today's tech industry. Many organizations now build dedicated data analytics teams to harness information gathered from various sources. Yet, for an average Joe, the process of transforming data into actionable insights [...]

Generative AI and Reinventing with Amazon Q

The Journey to Amazon Q AWS re:Invent 2023 recently concluded, and there has been some exciting news around data, infrastructure, artificial intelligence, and machine learning. One of the big announcements was Amazon Q, currently under Preview release. Amazon Q is a generative artificial intelligence (AI) powered conversational assistant. Announced during the keynote by AWS CEO Adam Selipsky, he spoke about various things that AWS is doing to support its customers. The value of constant [...]

Building Code-Free GenerativeAI Apps with PartyRock

What is PartyRock? It has been two weeks since Amazon announced PartyRock, an Amazon Bedrock Playground. It comes with the tagline “Everyone can build AI apps”. According to Amazon President and CEO, Andy Jassy, it was just an internal tool created by AWS developers to experiment with Foundation Models from Amazon Bedrock. The name PartyRock was in reference to it being a fun and collaborative way to experience Amazon Bedrock. I joined the party [...]

How I Prepared for the AWS Cloud Practitioner CLF-C02 Exam as a Data Scientist

In the ever-evolving landscape of technology, the pursuit of knowledge and skills is not just a choice but a necessity, especially for professionals like data scientists. This realization led me to embark on a journey towards achieving the AWS Certified Cloud Practitioner CLF-C02 certification, a decision that not only expanded my technical horizons but also underscored the importance of continuous learning in the tech industry. As a data scientist, my daily encounters with vast [...]

Amazon AI Fairness and Explainability with Amazon SageMaker Clarify

Introduction In the rapidly evolving domain of machine learning, ensuring fairness and explainability in model predictions has become crucial. With Amazon SageMaker Clarify, these critical aspects are not just an afterthought but integral components of the model development and deployment process. This article delves into the world of SageMaker Clarify, offering a comprehensive guide to its capabilities and practical applications. We commence our journey with a high-level understanding of what SageMaker Clarify is and [...]

The AI Revolution: An Overview of Generative AI and Foundation Models

The recent biggest trends in technology revolve around this buzzword that exploded in popularity: Generative AI. After the initial public release of ChatGPT from OpenAI around November 2022, plenty of other chatbots powered by large language models (LLMs), like Google’s PaLM powering Google Bard and Meta’s LLaMa model, took the world by storm. These LLMs have empowered millions of users and developers, affecting various areas of work and thus reshaping the industry. In this [...]

Personal ML Projects with Amazon SageMaker, Amazon Comprehend, Amazon Forecast and Other ML Services

Machine learning and artificial intelligence have been powering many of the technologies we use daily, some of which we may not actively pay attention to, and they have become second nature to us. Suppose we actively look for the presence of ML/AI. In that case, we can find them everywhere: natural language processing in our AI Assistants, recommender engines in e-commerce, social media, and music, and fraud detection in finance, among many other technologies. [...]

Automating Binary Classification Model Building with Amazon SageMaker Autopilot

Introduction In the ever-evolving world of machine learning, binary classification stands out as one of the most fundamental and widely used techniques. At its core, binary classification involves categorizing data into one of two groups based on certain features. This method is crucial in various applications, such as spam detection, medical diagnosis, and customer churn prediction. However, building an effective binary classification model can be a complex and time-consuming process, requiring extensive knowledge in [...]

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