A key benefit of a data mesh architecture is allowing different lines of business (LOBs) and organizational units to operate independently and offer their data as a product.
A key benefit of a data mesh architecture is allowing different lines of business (LOBs) and organizational units to operate independently and offer their data as a product.
To make building a data lake easier, this post presents a solution to manage and deploy your data lake as an AWS Service Catalog product
We use an AWS CloudFormation template to create S3 buckets to load the script for creating the data lake as an AWS Service Catalog product as well as scripts for data transformation.
In this post, we show you how to use AnalyticsIQ datasets and Amazon QuickSight to generate valuable insights that could improve your organization’s decision-making. we use the AnalyticsIQ Social Determinants of Health Sample Data dataset to gain insights into the relationship between ethnicity and health, as well as how the social determinants impact the health and wellness of individuals.
The CI/CD pipeline, like any system, can be vulnerable to data leakage, and security steps must be taken to prevent this wherever possible.
However, this level of automation and the speed with which the pipeline develops can leave it vulnerable to data leakage, which is why it’s crucial to ensure the CI/CD pipeline is secure.
MLOps combines “machine learning” and continuous software development operations and helps data scientists maintain and deploy ML models efficiently and responsibly.
This blog post shows you how to design an MLOps pipeline for model monitoring to detect concept drift.
In this blog post, we’ll illustrate how the CAEdge Framework orchestrates ADAS simulation workloads with Amazon Managed Workflows for Apache Airflow (MWAA). We’ll show how it delegates the high-performance workloads to AWS Batch for elastic, highly scalable, and customizable compute needs.
DevOps and DevSecOps have created controlled, easily deployable, secure and automated development-to-production processes that allow software updates multiple times per day with less risk.
Because enterprise network security relies on static firewall rules that can only be updated in maintenance windows after a change approval process, securely deploying applications in an automated way will not work in dynamic cloud environments
As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.
Kusk (Swedish for coachman) automates the generation of ingress resources for various popular ingress controllers by treating your OpenAPI specification as the source of truth for their configuration.
We are starting to see alternative use cases emerge for blockchain technology, especially in areas such as cybersecurity identity management, food industry supply chains, healthcare, property records and digital voting.
You can use this guide to assess the maturity of your application, infrastructure, DevOps, development model, and more.
The use case that we’ll be looking at is this, where we have parameters coming into this pipeline that has five paths, as a cloning, linting, testing, building, and then running task
Users can specify custom tasks, which are implemented by Kubernetes controllers that run on the cluster to provide functionality that’s not available directly in the Tekton pipelines API.
An app builder allows you to build modern web, desktop, and mobile applications faster because they abstract away many of the complexities typically required for software development, specifically, the building of the front-end user interface.