Tag: applications

October 25, 2023

In the early 2000s, companies like Amazon, eBay, and Salesforce drove a trend toward standardizing interfaces among web applications. The result was a complete overhaul of how applications were developed and integrated, thanks to a growing network of open web […]

February 20, 2023

Operations managers play a critical role in the MLOps life cycle. Without the proper infrastructure, the number of CPU nodes, or security checks, models, and applications built by data science and development teams are more likely to fail – if […]

August 10, 2022

A majority of IT leaders said in a recent survey that they struggle with the process of application modernization, according to a report from Asperitas Consulting. Application modernization, according to Gartner, is the process of migrating legacy systems to new […]

August 1, 2022

The global pandemic and the move to remote and hybrid workplaces have highlighted the importance of connections in an increasingly disconnected world. While the traditional office setting has become dispersed, business leaders must still connect everyone and everything within their […]

July 19, 2021

Analytics are core to all modern SaaS applications. There is no way to successfully operate a SaaS application without monitoring how it is performing, what it’s doing internally, and how successful it is at accomplishing its goals. However, there are […]

July 14, 2021

Today’s low-code and no-code development platforms enable teams of software developers—and even non-coders—to deliver, support, and extend a wide array of applications. They are used to build mobile apps, deliver customer experiences, streamline workflows, modernize legacy applications, automate data integrations, […]

November 5, 2019

With the continual vulnerabilities being exploited in applications today it’s important to shed some more light in this area. Many developers and senior tech leaders haven’t yet made the mental switch from “DevOps” to “DevSecOps,” despite some nudging within the […]

August 2, 2019

Machine and deep learning applications bring new workflows and challenges to enterprise data center architectures. One of the key challenges revolves around data and the storage solutions needed to store, manage, and deliver up to AI’s demands. Today’s intelligent applications […]