DevOps
fromMedium
1 day agoFair Multitenancy-Beyond Simple Rate Limiting
Fair multitenancy ensures equitable infrastructure access for customers, balancing simplicity, performance, and safety in shared environments.
The hard part is making hundreds of decisions that won't quietly compound into outages, cost blowouts, security gaps, or organizational gridlock. That's why, even when organizations are moving from cloud to cloud or swapping one set of managed services for another, they still need deep planning capabilities.
"For healthcare, government, and contact center environments, reducing risk at the endpoint is essential. By aligning IGEL's immutable endpoint OS and Adaptive Secure Desktop™ with Windows 365 and Microsoft Azure Virtual Desktop, these reference architectures give organizations clear guidance for delivering secured and resilient digital workspaces."
If GenAI enhances or speeds things up, they should get more value faster and shouldn't pay the same rates. Our customers' buying patterns shifted to favor agile, outcome-based, AI-powered engagements with faster time to value and clear ROI, creating a significant revenue and workload concentration risk in our top revenue cohort.
This new reality is forcing organizations to undertake careful assessments before making platform decisions for AI. The days when IT leaders could simply sign off on wholesale cloud migrations, confident it was always the most strategic choice, are over. In the age of AI, the optimal approach is usually hybrid. Having openly championed this hybrid path even when it was unpopular, I welcome the growing acceptance of these ideas among decision-makers and industry analysts.
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.
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.