aws Archives

Building a Deployment Pipeline for a React Application with AWS CodePipeline
Gallery

Building a Deployment Pipeline for a React Application with AWS CodePipeline

Kaye Alvarado2024-01-07T02:48:10+00:00

This is the second part of a series of blogs about the platform management of a React Application infrastructure by adding a continuous deployment component to the earlier infrastructure. In an earlier article, I wrote about how a private react application infrastructure can be deployed with Terraform code. Now, we will explore this further by building a deployment pipeline using AWS CodePipeline. Let's assume that the source code of the React web application is hosted on GitHub. Using the GitHub connections feature of AWS CodePipeline, we can authorize the third-party provider to work with AWS resources to establish integration between [...]

Building a Deployment Pipeline for a React Application with AWS CodePipelineKaye Alvarado2024-01-07T02:48:10+00:00

Train and Deploy a Scikit-Learn Model in Amazon SageMaker
Gallery

Train and Deploy a Scikit-Learn Model in Amazon SageMaker

John Patrick Laurel2024-01-05T10:10:06+00:00

Introduction In the ever-evolving world of machine learning (ML), the ability to efficiently train and deploy models is crucial for turning innovative ideas into real-world applications. This is where Amazon SageMaker, a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly, stands out. Amazon SageMaker streamlines the machine learning workflow, offering a broad set of capabilities that are designed to enable users to focus more on the problem at hand and less on the underlying infrastructure. While SageMaker comes equipped with built-in algorithms and support for various [...]

Train and Deploy a Scikit-Learn Model in Amazon SageMakerJohn Patrick Laurel2024-01-05T10:10:06+00:00

Securing LLMs with Guardrails for Amazon Bedrock
Gallery

Securing LLMs with Guardrails for Amazon Bedrock

Kaye Alvarado2024-01-03T00:32:13+00:00

One of the pillars of the AWS Well-Architected Framework is security. It is a foundational concept when running your workloads in the cloud to think about privacy, access limits, compliance with regulatory requirements, and data protection; and this includes Amazon Bedrock. Along with several AI announcements during the keynote of AWS CEO, Adam Selipsky during AWS re:Invent 2023 was Guardrails for Amazon Bedrock. As AI technology evolves and becomes more mature, it makes sense to also reinvent the way usage is handled by security safeguards. Guardrails for Amazon Bedrock allow security policies to be applied across foundational models, to fulfill [...]

Securing LLMs with Guardrails for Amazon BedrockKaye Alvarado2024-01-03T00:32:13+00:00

Building a Private React Application Infrastructure with Terraform
Gallery

Building a Private React Application Infrastructure with Terraform

Kaye Alvarado2024-01-02T03:12:00+00:00

This is the first part of a series of blogs about the platform management of a React Application infrastructure using Terraform. In the early phases of a software development project, it is mandatory to have the application reviewed by security way before the Beta release to ensure that the app adheres to the standards of a secure web application and is able to protect the sensitive data it handles. Most of the time, DevOps Engineers are tasked to deploy the web application in a private domain to allow the initial load testing, penetration testing, and other security-related testing while keeping [...]

Building a Private React Application Infrastructure with TerraformKaye Alvarado2024-01-02T03:12:00+00:00

Deploying a Serverless Inference Endpoint with Amazon SageMaker
Gallery

Deploying a Serverless Inference Endpoint with Amazon SageMaker

John Patrick Laurel2023-12-27T11:56:32+00:00

Introduction Welcome to our deep dive into the world of serverless machine learning (ML) inference using Amazon SageMaker. In this blog post, we will explore the innovative and efficient approach of deploying ML models without the need for managing servers, a method known as serverless inference. What is Serverless Inference? Serverless inference is a cloud computing execution model where the cloud provider dynamically manages the allocation of machine resources. The key advantage here is that it abstracts the underlying infrastructure, allowing developers and data scientists to focus solely on their application logic. This approach offers several benefits: Cost-Effectiveness: You pay [...]

Deploying a Serverless Inference Endpoint with Amazon SageMakerJohn Patrick Laurel2023-12-27T11:56:32+00:00

Setting Up AWS EventBridge for Cross-Region IAM Event Notifications
Gallery

Setting Up AWS EventBridge for Cross-Region IAM Event Notifications

Bill Junidez Liad2023-12-22T22:11:15+00:00

AWS EventBridge is a serverless event bus service that simplifies event-driven architectures. In this guide, we'll explore how to leverage EventBridge with a cross-region event bus to overcome the regional limitations associated with IAM (Identity and Access Management) events. This setup will enable you to capture and respond to IAM events seamlessly across AWS regions. Use Case: Cross-Region IAM Event Notifications with AWS EventBridge AWS CloudWatch Events are powerful, but they are region-specific, posing challenges when attempting to capture IAM events. It's essential to note that IAM is a global service, and the IAM events are only available in the [...]

Setting Up AWS EventBridge for Cross-Region IAM Event NotificationsBill Junidez Liad2023-12-22T22:11:15+00:00

Mastering AWS CDK Part 2: Leveraging Custom Constructs
Gallery

Mastering AWS CDK Part 2: Leveraging Custom Constructs

Iggy Yuson2023-12-21T09:07:25+00:00

In the previous article, we delved into the fundamentals of AWS CDK, focusing on leveraging AWS's pre-built constructs. We examined a straightforward Serverless REST API architecture, which integrates three primary serverless services from AWS. These include Amazon API Gateway as the REST API's access point, AWS Lambda for computing, and Amazon DynamoDB for data storage. The Fat Lambda In contrast to the basic architecture previously discussed, it's important to note that such a setup is not typically regarded as best practice for production-grade applications. The serverless community often debates the concept of "Fat Lambda," a term used to describe scenarios [...]

Mastering AWS CDK Part 2: Leveraging Custom ConstructsIggy Yuson2023-12-21T09:07:25+00:00

Amazon Kendra
Gallery

Amazon Kendra

Nestor Mayagma Jr.2024-03-23T06:15:27+00:00

Bookmarks Features Benefits Use Cases Document Types and Formats Supported Data Sources Querying Data Use of Tags Pricing Amazon Kendra Cheat Sheet Amazon Kendra is a highly scalable, intelligent enterprise search service. It utilizes machine learning to search unstructured data and improve accuracy in search results. It’s tightly integrated with other AWS services, such as Amazon S3 and Amazon Lex. It offers enterprise-grade security. Features Natural Language Processing (NLP): Amazon Kendra uses NLP to get highly accurate answers without the need for machine learning (ML) expertise. Fine-tuning Search Results: [...]

Amazon KendraNestor Mayagma Jr.2024-03-23T06:15:27+00:00

Amazon Bedrock
Gallery

Amazon Bedrock

Nestor Mayagma Jr.2024-03-23T06:25:10+00:00

Bookmarks Key Features Additional Capabilities Pricing Amazon Bedrock Cheat Sheet Amazon Bedrock enables you to construct and expand applications powered by generative AI. These applications have the capability to produce text, images, audio, and artificial data in reaction to specific prompts. Key Features Model Choice: Amazon Bedrock provides access to a variety of high-performing foundation models from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon. You can easily experiment with and evaluate these models for your use case. Customization: You can privately customize the models with your data [...]

Amazon BedrockNestor Mayagma Jr.2024-03-23T06:25:10+00:00

AWS Billing Conductor
Gallery

AWS Billing Conductor

Nestor Mayagma Jr.2024-04-12T13:08:42+00:00

Bookmarks Key Features Benefits Pricing AWS Billing Conductor Cheat Sheet Facilitates showback and chargeback workflows for AWS Solution Providers and Enterprise customers. Enables customization of an alternative monthly billing data version. Models your billing relationship with customers or business units. Maintains your existing AWS billing method. Allows configuration, generation, and display of rates to specific customers over a billing period. Supports analysis of rate differences between your groupings and actual AWS rates. Key Features Group Accounts: You can group your accounts into a set of mutually exclusive set of accounts (billing groups). These groups [...]

AWS Billing ConductorNestor Mayagma Jr.2024-04-12T13:08:42+00:00