DevOps
fromInfoWorld
17 hours agoWhen cloud giants neglect resilience
Cloud outages highlight reliability issues as providers prioritize cost-cutting over service stability, raising questions about acceptable levels of unreliability.
Commvault focuses on data protection and recovery in the event of cyberattacks, ransomware, and system failures for both enterprise environments and cloud providers. Its clients include 3M, Sony, and Hilton.
"In agentic environments, agents mutate state across data, systems, and configurations in ways that compound fast and are hard to trace," says Pranay Ahlawat, Chief Technology and AI Officer at Commvault.
He stormed up to my desk, leaned over my partition, and began his rant before I could so much as say hello. He screamed about the rubbish laptops and IT systems we had, nothing ever worked, all the usual stuff. The user's rant ended with a thundered 'Just FIX IT!'
I looked at the config and noticed the customer did not have a default route set. He wasn't sure if that was the problem, so he made some changes he thought might be useful. The router Caleb worked on then rebooted, which he expected. But when it restarted, its previous configuration was gone.
When civilian banks, logistics platforms, and payment processors share physical data center infrastructure with military AI systems, those facilities become legitimate military targets under international humanitarian law - and the civilian services housed inside lose their legal protection.
What if I told you that everything you know and everything you do to ensure quality backups is no longer viable? In fact, what if I told you that in an era of generative AI, when it comes to backups, we're all pretty much screwed?
It was the time of Novell networks, RG58 cables, and bulky tower PCs. It was also a time before the telemarketer's IT department employed specialists. Carter and his two colleagues - boss Mike and part-time student Stefan - therefore handled tasks ranging from programming to support, and everything in between.
A North American manufacturer spent most of 2024 and early 2025 doing what many innovative enterprises did: aggressively standardizing on the public cloud by using data lakes, analytics, CI/CD, and even a good chunk of ERP integration. The board liked the narrative because it sounded like simplification, and simplification sounded like savings. Then generative AI arrived, not as a lab toy but as a mandate. "Put copilots everywhere," leadership said. "Start with maintenance, then procurement, then the call center, then engineering change orders."
When ChatGPT launched in late 2022, I watched something remarkable happen. Within two months, it hit 100 million users, a growth rate that sent shockwaves through Silicon Valley. Today, it has over 800 million weekly active users. That launch sparked an explosion in AI development that has fundamentally changed how we build and operate the infrastructure powering our digital world.
Developers have spent the past decade trying to forget databases exist. Not literally, of course. We still store petabytes. But for the average developer, the database became an implementation detail; an essential but staid utility layer we worked hard not to think about. We abstracted it behind object-relational mappers (ORM). We wrapped it in APIs. We stuffed semi-structured objects into columns and told ourselves it was flexible.
The main advantage of going the Multi-Cloud way is that organizations can "put their eggs in different baskets" and be more versatile in their approach to how they do things. For example, they can mix it up and opt for a cloud-based Platform-as-a-Service (PaaS) solution when it comes to the database, while going the Software-as-a-Service (SaaS) route for their application endeavors.
First in line is CVE-2025-40551 (CVSS score of 9.8), a critical flaw described as an untrusted data deserialization issue that could lead to remote code execution (RCE) without authentication. According to Horizon3.ai, which discovered and reported the defect, CVE-2025-40551 exists in AjaxProxy functionality, where requests destined for other functions are improperly sanitized, and a blocklist function can be bypassed by including allowed terms early in a JSON payload.