Anticipated 2022 digital retail trends are all about innovations in perfecting personalized omnichannel consumer experiences
As retailers open up their supply chains to new fulfillment options, positive consumer experiences will also rise, as customers want access to their purchases quicker than ever.
The type of CI/CD pipeline you choose-whether it’s managed, open source, or a bespoke solution that you build in-house-will impact whether certain security features are available to you out of the box, or require focused attention to implement.
By integrating DevOps practices with IT security, also known as DevSecOps, enterprises can create a strong chain of defense around their most important applications and assets from the development process through to operations and deployment.
Many organizations are moving toward DevSecOps as an integrated approach to software development and security
Mikael Persson, chief technology officer at Sigma Connectivity, adds, “The hotly anticipated Release 17 of the 3GPP mobile broadband standard will outline more 5G system enhancements that will ease the current deployment challenges and help to ‘truly unlock the potential of IoT for 5G’.”
Fastly is executing on its strategy to provide security anywhere, making it an important choice for organizations needing a flexible WAF that protects business-critical apps and APIs in a breadth of deployment options.
DevOps automation helps software development teams achieve faster time-to-market for new software releases by speeding up certain aspects of the development pipeline—all while ensuring products are high-quality and error-free.
These include tools to automate version control, container management, application performance monitoring (APM), deployment and server monitoring, configuration management, CI/CD automation, artifact management, and codeless testing.
In this post, we provide a step-by-step guide to bring data from ServiceNow to an S3 data lake using AWS Glue Studio and analyze the data with Amazon Athena.
In this solution, ServiceNow data is being extracted through AWS Glue using a Marketplace connector.
In this post, we walk through setting up an application API using the Amazon Redshift Data API, AWS Lambda, and Amazon API Gateway. The API performs asynchronous processing of user requests, sends user notifications, saves processed data in Amazon Simple Storage Service (Amazon S3), and returns a presigned URL for the user or application to download the dataset over HTTPS
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.
