Kaye Alvarado, Author at Tutorials Dojo

About Kaye Alvarado (Edit profile)

Kaye is a DevOps Engineer and the offshore lead of the API and Integration Management Team at Asurion. She is an AWS Community Builder, and a core member of AWSUG BuildHers+. She holds multiple AWS certifications, and volunteers to mentor others on DevOps skills training, and certification review sessions both inside and outside the company. On her free time, she creates comic strips about funny encounters in IT titled GIRLWHOCODES.

Release with a Pipeline: Continuous Delivery to AWS with GitHub Actions
Gallery

Release with a Pipeline: Continuous Delivery to AWS with GitHub Actions

Kaye Alvarado2024-01-24T01:07:44+00:00

This is the final part of a three-part article about a Web Application Project from building a private infrastructure to building a deployment pipeline using AWS’ cloud-native continuous delivery service AWS CodePipeline, and now finalizing the infrastructure to be accessible in a public domain and building a pipeline for continuous deployment using a third-party CD tool – GitHub Actions. From the private infrastructure previously built, we will update the S3 policy to add a statement for an allowed action for the CloudFront resource. As best practice, this statement will be added to the Terraform script of the infrastructure to make it [...]

Release with a Pipeline: Continuous Delivery to AWS with GitHub ActionsKaye Alvarado2024-01-24T01:07:44+00:00

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

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

Generative AI and Reinventing with Amazon Q
Gallery

Generative AI and Reinventing with Amazon Q

Kaye Alvarado2023-12-07T03:09:18+00:00

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 reinventing – global enterprises, over 80% of unicorns (companies with a Billion-dollar valuation), community colleges, government agencies, non-profits, and various others use AWS heavily in running [...]

Generative AI and Reinventing with Amazon QKaye Alvarado2023-12-07T03:09:18+00:00

Building Code-Free GenerativeAI Apps with PartyRock
Gallery

Building Code-Free GenerativeAI Apps with PartyRock

Kaye Alvarado2023-12-05T00:19:12+00:00

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 and played around with PartyRock to see what all the fuss was about, and it literally took me less than five minutes to create my first [...]

Building Code-Free GenerativeAI Apps with PartyRockKaye Alvarado2023-12-05T00:19:12+00:00

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!