Operations | Monitoring | ITSM | DevOps | Cloud

Cloud environment cleanup is often overlooked but it’s one of the biggest blockers to efficient cloud transformation. Have you ever found yourself lost in a labyrinth of environment names? “Dev,” “development,” “dev-test” — sound familiar? What starts as a simple spreadsheet import can quickly spiral into a nightmare of duplicate records and data inconsistencies. One of our customers knows this pain all too well.

Are you one of the 20% of people who have never backed up your data? If this is the case, the impact could be huge. Not backing up your data in the cloud leaves your files vulnerable to data loss, corruption, ransomware, and many other cyberattacks that threaten the security and privacy of our files. If you’re interested in moving your files away from bulky hardware, you may be considering the cloud backup advantages and disadvantages of storing your files in the cloud.

DevOps has become the backbone of modern software delivery. By breaking down the silos between development (dev) and operations (ops), DevOps teams can move faster, deploy more frequently, and maintain more reliable systems. But with this need for speed comes the necessity of visibility. And this is where DevOps dashboards impress. In this guide, we’ll cover the essentials of DevOps dashboards.

I was recently asked this question on an episode of the Industrial Automation Insider podcast. I immediately called out the need to look closer at cloud-based training of the AI models that serve as the decision engines within these automation systems. Why haven’t more manufacturers, warehouse operators, or healthcare providers jumped on this opportunity? They’re all using machine vision systems in various ways, often across multiple sites that are geographically distant from one another.