aws tutorial Archives

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

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.2024-09-09T03:11:26+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.2024-09-09T03:11:26+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

AWS AppConfig
Gallery

AWS AppConfig

Nestor Mayagma Jr.2024-04-12T13:51:35+00:00

Bookmarks Key Features Benefits Use Cases Pricing Reference AWS AppConfig Cheat Sheet AWS AppConfig allows software developers to quickly and securely adjust application behavior in production environments without needing to deploy code. It enhances the frequency of software releases, improves application resilience, and enables rapid response to emergent issues. Key Features Feature Flags: Allows gradual release of new capabilities to users and measures the impact of those changes before full deployment. Dynamic Configurations: Enables updates to block lists, allow lists, throttling limits, logging verbosity, and other operational tuning to quickly respond to [...]

AWS AppConfigNestor Mayagma Jr.2024-04-12T13:51:35+00:00

AWS Well-Architected Tool
Gallery

AWS Well-Architected Tool

Nestor Mayagma Jr.2024-03-23T07:02:34+00:00

Bookmarks Key Components Using the Tool Best Practices Benefits Reference AWS Well-Architected Tool Cheat Sheet The AWS Well-Architected Tool is a service that helps you review your workloads and compares them to the latest AWS architectural best practices. The tool provides recommendations for making your workloads more reliable, secure, efficient, and cost-effective. Key Components Workload is a term used to describe a collection of components that collectively contribute to business value. This could range from marketing websites, e-commerce platforms, and backend for mobile applications to analytic platforms. The complexity of a workload [...]

AWS Well-Architected ToolNestor Mayagma Jr.2024-03-23T07:02:34+00:00

Batch Data Ingestion Simplified in AWS
Gallery

Batch Data Ingestion Simplified in AWS

Iggy Yuson2023-12-12T00:40:18+00:00

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 scenarios where immediate or real-time processing is not necessary, allowing for efficient resource utilization. Batch data ingestion in AWS is not only efficient and cost-effective but [...]

Batch Data Ingestion Simplified in AWSIggy Yuson2023-12-12T00:40:18+00:00

Previous 456 7 8 9 10 Next

AWS, Azure, and GCP Certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Upskill and earn over $150,000 per year with an AWS, Azure, or GCP certification!

Follow us on LinkedIn, Facebook, or join our Slack study group. More importantly, answer as many practice exams as you can to help increase your chances of passing your certification exams on your first try!