Revolutionizing Knowledge Management with Amazon Kendra: A Comprehensive Guide
Organizations are grappling with vast knowledge bases, making it increasingly difficult to find relevant data efficiently. The problem statement is clear: knowledge bases are everywhere, but nobody knows all of them, and searching through them can be a daunting task.…
Generative AI on AWS - A Primer
SageMaker enables users to build, train, and deploy Machine Learning models. Bedrock goes a step further, enabling fine tuning, creation of specialized agents, and Retrieval Augmented Generation (RAG).…
Elevate Your Security Game with Amazon Security Lake and Amazon Kendra
No matter how good your cybersecurity posture is, the human element has been and always will be the Achilles' heel. In today's fast-paced digital world, getting a leg up on cybersecurity entails meeting the users half way between policy and best practices.…
Hands on Guide - Migrating Postgres from EC2 to Amazon RDS - Part 2 of 2
Part 2 of 2 - In-depth guide to migrating Postgres from EC2 to Amazon RDS.…
Hands on Guide - Migrating Postgres from EC2 to Amazon RDS - Part 1 of 2
This is part 1 of 2 - an in-depth guide migrating postgres from self managed EC2 to Amazon RDS.…
AWS MAP - Assess Your Readiness with the Cloud Adoption Framework
The Amazon Web Services (AWS) Migration Acceleration Program (MAP) is structured into a trilogy of phases: Assess, Mobilize, and Migrate & Modernize. The subject of this article is the inaugural phase, which involves evaluating your preparedness.…
AWS MAP - Who is it for? Do you need it?
The migration of your on-premise infrastructure and applications to the cloud is a substantial endeavor. The process entails navigating an almost infinite complexity, given that each organization approaching cloud migration possesses unique "domain" knowledge and methodologies.…
AWS MAP - Migrating Postgres from Self-Managed EC2 to RDS
The Amazon Web Services (AWS) Migration Acceleration Program (MAP) is a comprehensive and proven cloud migration program based on AWS’s experience migrating thousands of enterprise customers to the cloud.…
Python in Production (Part 5 of 5)
Welcome back to the Python in Production series. In the fourth part of the series, we learned how to run our program as a service on a linux machine using systemd. In the part of the series, we will learn how to automate our build process using Jenkins.…
Python in Production (Part 4 of 5)
Welcome back to the Python in Production series. Now that we have a runnable binary, we are ready to integrate our program into a system.…
Modernize your Pipeline to be ARM-ready with Multi-Arch Container Builds
Co-authored by John Blat and Lucas Ward ARM computing has been historically reserved for embedded…
What Makes Entando a Highly Available Architecture?
High availability within the software world means a user can employ a technology to do a piece of work when needed. It needs to be Scalable, Resilient, Reliable, and Durable. Entando is a Highly Available Architecture, because of Kubernetes.…
Python in Production (Part 3 of 5)
In Part 3 of Python in Production we learn how to generate a single file binary executable and why doing so will aid your path to production.…
Hardening Kubernetes and What That Entails With Entando
Web Application security is hard. Doing security right in Kubernetes is even more difficult. In order to cover everything listed in the Kubernetes Threat Matrix, you have to follow best practices across the board. Shift security left and use opinionated platforms like Entando.…
Python in Production (Part 2 of 5)
Welcome back to the Python in Production series. In the first part of the series,…