AIOps applies machine learning and analytics to operations data so teams can see issues sooner, find causes faster and fix ...

DevOps repos on GitHub, GitLab, Bitbucket, and Azure DevOps face risks from weak access controls, misconfigurations, outages, and accidental deletions. GitProtect provides automated, immutable backups ...

Major opportunities in the Saudi Arabian DevOps market include the rapid expansion of cloud and data infrastructure, aligning ...

New Intelligent Business Recovery for Microsoft 365 restores core workflows, data, and drives operational resilience Unveils DevOps Protection to safeguard critical Azure DevOps and GitHub data Rubrik ...

Last week’s Informatica World 2016 brought out a lot of talk involving data quality, real-time live data and the automation of ingesting and analyzing data in order to turn it into something ...

Overcoming DevOps obstacles—such as slow, manual, poor-quality test data—is key toward accelerating pipelines. With speed being a central success factor for DevOps pipelines, increasing velocity ...

In this episode of DEMO, Keith Shaw talks with Doug Flora, Vice President of Product Marketing at EDB, about how EDB Postgres AI is redefining enterprise data platforms. With live demonstrations, Doug ...

It’s a generally accepted maxim that the business community’s fascination with big data, which started in the mid-2000s, ran out of steam about five years ago. But that’s only partly true. While the ...

As system architecture moves to the cloud, understanding the impacts of new code releases and points of failure requires a whole new approach. The increase in agility, bandwidth, and security has been ...

Having data scientists collaborate with devops and engineers leads to better business outcomes, but understanding their different requirements is key Data scientists have some practices and needs in ...

Despite the lip service paid to being “data-driven,” the average organization fails to collect or process more than half of the data it generates, according to a new report from Splunk. From an ...

For data scientists, creating a perfect statistical model is all for naught if the compute power required is prohibitive. We need tools to assess the performance impacts of modeling alternatives Big ...