“When we think about digital transformation and leveraging that digital technology, we tend to think about how it can help on the clinical side [with] things like precision medicine or using AI to detect signs of cancer,” said Hummy Song, a Wharton professor of operations, information and decisions.
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.
We needed a solution that could scale and process millions of transactions, by effectively using high memory and CPU configurations to perform complex queries quickly
We used a graph database, Amazon Elastic Kubernetes Service (EKS), and Amazon Neptune, to search for suspicious financial chains across large amounts of transactional data in minutes.
In this post, we share how ENGIE created a CI/CD pipeline for an Amazon MWAA project template using an AWS CodeCommit repository and plugged it into AWS CodePipeline to build, test, and package the code and custom plugins.
This post demonstrates how we automated our engine wash analytics process to handle the complexity of ingesting data from multiple data sources and how we selected the right programming paradigm to reduce the overall time of the analytics job.
The modern data platform ingests delta changes from all source data feeds once per night. The orchestration and transformations of the data is undertaken by dbt. dbt enables data analysts and engineers to write data transformation queries in a modular manner without having to maintain the run order manually.
You can also use the Amazon Redshift query monitoring rules (QMR) feature to set metrics-based performance boundaries for workload management (WLM) queues, and specify what action to take when a query goes beyond those boundaries.
This architecture uses Azure Relay Hybrid Connections to connect from Azure to edge resources or devices that are protected by firewalls
