Best Practices & Strategies with Cloud
The Response from Generative AI depends on Our Intelligence more than the Intelligence within It
It is easy to type a question and get a response from the Generative AI, however it is important to get the right answer as per the context, because Large Language Models (LLMs) of Generative AI are designed to predict only the next word and they can hallucinate if they don’t get the context right or if they don’t have the required information with-in them.
Applying Mechanical Sympathy with Built-In Algorithms of Amazon SageMaker
It is important to note that there is no one-size-fits-all solution when it comes to selecting a machine learning algorithm. The best algorithm for your problem will depend on a variety of factors, including the size and structure of your dataset, the complexity of the problem, and the trade-offs between accuracy, training time, and ease of use. Choosing a wrong algorithm can easily get you into cost over-runs and low performance of the models.
Best Practices in Implementing Security Groups for Web Application on AWS
Its easy to assign source as large VPC wide CIDR range (ex: 10.0.0.0/16) in Security Groups for private instances and avoid painful debugging of data flow however we are opening our systems to a plethora of security vulnerabilities. In this Post we will discuss best practice in implementing security groups
Running Containers on AWS as per Business Requirements and Capabilities
We can run containers with EKS, ECS, Fargate, Lambda, App Runner, Lightsail, OpenShift or on just EC2 instances on AWS Cloud. In this post I will discuss on how to choose the AWS service based on our organization requirements and capabilities.
Interweaving Purpose-Build Databases in the Microservices Architecture
It is best practice to have a separate database for each microservice based on its purpose. In this post we will understand how to analyse the purpose based on a scenario and choose the right database.
Build Docker Container for Java App and Deploying it on Amazon EKS
This repo contains a Sample Spring Boot Java App with the dockerfile which uses Amazon Corretto 17 as base image and manifestes for creating an Amazon EKS cluster and deploying the sample app to the cluster as a container and exposing it with a service and classic load balancer.