Flexagon

MARCH 1, 2022

What these organizations had in common is that they sought a solution to address their current tech stack and IT landscape while easing adoption of emerging technology and agile processes for faster and more effective continuous delivery. DevOps Platform Capabilities . This is exactly the problem that FlexDeploy solves. .

UI/UX 78

UI/UX DevOps Business Intelligence Azure 78

Flexagon

MARCH 8, 2021

In the spirit of continuous delivery, we release new versions of FlexDeploy monthly. Oracle Business Intelligence Enhancements for SaaS and on premise – FlexDeploy includes. FlexDeploy 5.5.0.1 is a fast follower to FlexDeploy 5.5, a major product version delivered in February. FlexDeploy 5.5.0.1

Continuous Delivery 60

Continuous Delivery Business Intelligence DevOps 60

Flexagon

DECEMBER 27, 2022

Without FlexDeploy’s platforms and plugins, organizations wouldn’t be able to implement DevOps practices on Oracle EBS. FlexDeploy is built from the ground up for DevOps. It focuses on continuous delivery and release automation. These pipelines manage change at each step of your delivery procedures.

Testing 78

Testing DevOps Quality Assurance Infrastructure 78

OpenCredo

JULY 31, 2018

Machine Learning, alongside a mature Data Science, will help to bring IT and business closer together. By leveraging data for actionable insights, IT will increasingly drive business value. Agile and DevOps practices enable the continuous delivery of business value through productionised machine learning models and software delivery.

Artificial Inteligence 40

Artificial Inteligence Machine Learning Data Artificial Intelligence 40

Flexagon

FEBRUARY 7, 2023

In fact, this functional business suite still addresses a range of needs—from customer relationship management (CRM) to complex decision processes. Despite these many positive features, the Oracle E-Business Suite (EBS) has experienced a few setbacks as the software industry moves toward DevOps and DevSecOps.

DevOps 78

DevOps Software Review Testing Continuous Integration 78

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

Openxcell

JANUARY 18, 2022

DevOps has become an efficient practice in delivering and maintaining software deployment quality. Now, businesses are progressing towards faster deployment with high software quality. To stay ahead of the competition, it is essential to adopt DevOps practices and leverage the correct DevOps tools. Top DevOps Tools list.

DevOps 52

DevOps Tools Open Source Testing 52

LaunchDarkly

JANUARY 17, 2019

Edith joins the show to discuss how to implement feature flagging, why an intelligent release process can lead to a more scientific predictable environment for software development and many other topics. Isn’t that just config files and isn’t that just a feature itself in like a continuous delivery platform or a cloud provider?

Software Engineering 40

Software Engineering Engineering Software Technical Cofounder 40

Altexsoft

FEBRUARY 24, 2023

Deployment and scaling automation to boost CI/CD Kubernetes has become an important part of a DevOps toolchain. It enables DevOps and site reliability engineer (SRE) teams to automate deployments, updates, and rollbacks. But even a seasoned software developer or DevOps engineer can find Kubernetes intimidating in the beginning.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

JANUARY 26, 2022

Such an approach is called DataOps — a new methodology that ties together data engineering, data analytics, and DevOps. Continuous integration and continuous delivery (CI/CD) to ensure up-to-date and reliable data. Data visualization. Interpersonal and communication skills.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59