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AWS Lambda Managed Instances: Serverless Simplicity with EC2 Control

2025-12-23T11:18:20+00:00

AWS Lambda Managed Instances marks a significant evolution in serverless computing. For years, standard Lambda was the default for running code without infrastructure management, but it offered limited control over the underlying hardware. This new capability changes that by combining serverless simplicity with Amazon EC2 flexibility.   Announced at AWS re:Invent 2025, this feature enables Lambda functions to run on designated Amazon EC2 instances. You choose the hardware configuration, while AWS manages the infrastructure. This approach combines the simplicity of serverless with the control of dedicated resources.   Comparing Compute Models: AWS Lambda vs. Amazon EC2 Previously, architects chose between [...]

AWS Lambda Managed Instances: Serverless Simplicity with EC2 Control2025-12-23T11:18:20+00:00

How to Generate Simple Document Embeddings with Python

2025-12-10T05:58:07+00:00

Document embeddings are one of the simplest ways to give machines an understanding of text, and in our previous article, Document Embeddings Explained: A Guide for Beginners, we explored how they turn entire documents into dense numerical vectors that capture meaning and context. Now that you understand what embeddings are and why they’re useful for tasks like semantic search, classification, and clustering, this tutorial will show you how to generate them in practice using Python. Whether you’re working with short paragraphs, long articles, or a collection of documents, the steps in this guide will help you create embeddings that you [...]

How to Generate Simple Document Embeddings with Python2025-12-10T05:58:07+00:00

Open Cybersecurity Schema Framework (OCSF) and Amazon Security Lake

2025-12-06T12:04:18+00:00

Amazon Security Lake is a managed service that collects and stores security logs from AWS services, on-premises systems, and supported third-party tools. It automatically converts all incoming data into Apache Parquet and formats everything using the OCSF schema. This setup allows different kinds of security logs to follow one consistent structure instead of having separate formats. With this unified approach, teams no longer need to decode or reorganize data manually because Security Lake handles the normalization process for them. In this article, we will walk through what OCSF is, how Amazon Security Lake uses it, and why this combination makes [...]

Open Cybersecurity Schema Framework (OCSF) and Amazon Security Lake2025-12-06T12:04:18+00:00

Troubleshooting HTTPS Issues with Certbot and NGINX on Amazon EC2

2025-12-09T09:22:01+00:00

When setting up HTTPS for your website using Certbot and NGINX, it is not uncommon to run into an issue where the SSL/TLS certificate appears to be successfully generated, but your browser still does not show the certificate information, or worse, it results in a timeout or connection error when trying to access the site via HTTPS. This can be frustrating, especially after spending time configuring everything correctly and thinking the process is complete. You might be wondering why the certificate is not being served, even though Certbot reports that it’s installed successfully. This blog article will explore this issue [...]

Troubleshooting HTTPS Issues with Certbot and NGINX on Amazon EC22025-12-09T09:22:01+00:00

Can Gemini 3 Replace My AI Toolkit?

2025-12-04T00:51:06+00:00

I've always approached AI with one mindset: use whatever tool gets the job done fastest and cleanest. I'm not loyal to one model, one company, or one ecosystem. I switch between tools depending on what my day looks like. In school, that might mean summarizing academic papers. At work or during self-study, that might mean debugging code or reviewing a cloud diagram. For daily life, it might just mean drafting an email or organizing my notes. So when Gemini 3 came out, I didn't ask whether it was "better" in the vague, marketing sense. My question was simpler: Could it [...]

Can Gemini 3 Replace My AI Toolkit?2025-12-04T00:51:06+00:00

AWS Vector Databases Explained: Semantic Search and RAG Systems

2025-12-21T03:02:32+00:00

The generative AI (GenAI) revolution has transformed how organizations extract value from their data. While large language models (LLMs) demonstrate remarkable capabilities in understanding and generating human-like text, their true enterprise potential is unlocked only when they can access proprietary, domain-specific information. This necessity has propelled vector databases from a specialized niche into an essential pillar of modern AI infrastructure. But First, What Are Vector Databases? A vector database, as its name suggests, is a type of database designed to store, index, and efficiently search vector embeddings. These vectors are high-dimensional points that represent meaning.  At its core, a vector [...]

AWS Vector Databases Explained: Semantic Search and RAG Systems2025-12-21T03:02:32+00:00

AWS Cloud Control API

2025-12-07T12:39:48+00:00

Bookmarks Benefits Key Features Pricing Example Architecture Using AWS Cloud Control API Region Availability Best Practices Security AWS Cloud Control API Cheat Sheet AWS Cloud Control API provides a unified, consistent set of APIs for you to manage cloud resources. It supports CRUDL operations: CreateResource, GetResource, UpdateResource, DeleteResource, and ListResource. The API is defined on a common resource model (JSON-based schema) that abstracts away underlying service-specific APIs. It works not only for AWS native resources, but also for third-party resources published in the CloudFormation Public Registry. It provides the ability [...]

AWS Cloud Control API2025-12-07T12:39:48+00:00

Self-Hosting Judge0: A Step-by-Step Guide Using Amazon EC2, Lambda, and S3

, 2025-12-02T08:12:14+00:00

Judge0 is a powerful, open-source code execution system widely used by online coding platforms to run programs in secure environments. However, while it is often accessed as a third-party service, self-hosting Judge0 on AWS significantly grants you complete control over configuration and security. In fact, this level of ownership is essential for handling sensitive data or customizing language support. Moreover, self-hosting enables greater scalability, thereby allowing you to adapt the system as your requirements evolve. Consequently, if you are looking for a robust solution to enhance your coding platform, this guide is the ideal choice. This step-by-step guide will walk [...]

Self-Hosting Judge0: A Step-by-Step Guide Using Amazon EC2, Lambda, and S3, 2025-12-02T08:12:14+00:00

What is Amazon Bedrock AgentCore?

2025-12-02T08:36:36+00:00

Imagine spending months building an AI agent that integrates seamlessly into your development environment. It employs tools, responds to inquiries, and completes duties precisely as planned. But moving it to production becomes a nightmare: suddenly, you are dealing with scale problems, security concerns, authentication systems, and API interfaces. What should have been a simple deployment becomes weeks of infrastructure labor unrelated to your agent's intelligence. This production gap is the bane of countless developers, and it is precisely the problem Amazon Bedrock AgentCore was built to stop. What is Amazon Bedrock AgentCore? The Amazon Bedrock AgentCore is an all-in-one platform [...]

What is Amazon Bedrock AgentCore?2025-12-02T08:36:36+00:00

GitHub Copilot Prompt Engineering

2025-11-26T18:29:36+00:00

GitHub Copilot Prompt Engineering Cheat Sheet Prompt engineering is the practice of crafting clear, structured prompts that guide GitHub Copilot to generate accurate, relevant responses. It applies to chat prompts, inline code comments, file references, and workspace context. Prompt Engineering Best Practices Best Practices Description Examples/ Guidance Start General, Then Add Specifics  Begin with the broad goal, then refine with constraints and requirements.  General: “Create a function that validates email addresses.” Specific: “Support international domains, return error objects, no external libraries.” Provide Relevant Project Context  Copilot becomes more accurate when it understands which file, code block, or workspace area is [...]

GitHub Copilot Prompt Engineering2025-11-26T18:29:36+00:00

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