This month, we highlight Akvelon's expertise in areas driving smarter infrastructure: AI agentic system design, scalable MLOps, and cloud migration.
We’ve also included practical tutorials from Akvelon engineers to build scalable, production-ready AI agents using proven MLOps approaches, expert insights from the Microsoft Build event, and recent key AI updates from Google Cloud.
Strategic Cloud Migration for Scalable, Secure Systems: 20+ Success Stories
Cloud migration is no longer just a tech shift. It’s a strategic move driven by cost, compliance, and performance goals.
At Akvelon, we’ve delivered 20+ successful migrations, each tailored to our clients’ specific technical needs and long-term vision. Watch our video on LinkedIn to see how we approach complex migrations and future-proof systems.
For example, we helped a healthcare provider move transcription workflows to a cloud-native architecture, improving reliability and reducing costs.
For a global adtech company, we implemented a fault-tolerant AWS solution to meet strict data residency requirements.
For a digital health platform, we modernized DevOps infrastructure with Azure Pipelines, Zabbix-based monitoring, and multi-region Kubernetes environments.
Exploring your own cloud roadmap? Let’s connect and find the best path forward.
Akvelon x Google Cloud: Practical Guides to Scalable AI
Akvelon’s DevOps team, led by Vlado Djerek, partnered with Google Cloud to create three new resources now featured on the official GKE AI Labs site. These practical guides help teams build scalable, production-ready AI agents using proven MLOps approaches.
As more companies operationalize AI, many realize that building a model is only the start. Making it scalable, maintainable, and secure is just as critical. That’s where MLOps plays a key role: streamlining deployment, performance monitoring, and lifecycle management.
Explore these guides to accelerate your MLOps journey and reduce infrastructure complexity:
- A hands-on guide to multi-agent workflows with Flowise on GKE, including a Supervisor → Engineer → Reviewer agent chain
- A tutorial on deploying ADK agents using Ray Serve and Llama 3.1
- A recorded session on designing a Flyte-powered ML stack on GCP, featuring Akvelon’s Vlado Djerek and Google Cloud engineers
Whether you're starting from scratch or scaling existing models, Akvelon helps teams build AI systems that perform reliably in production. Reach out and talk to us about your MLOps strategy.
AI Agents: Build, Buy, or Go Hybrid?
AI agents are gaining traction, helping teams automate support and refocus on higher-value work. But what’s the best way to implement them?
Build custom agents, adopt a proven platform, or go hybrid?
To help organizations navigate this decision, we put together a visual guide on LinkedIn. It outlines the trade-offs in cost, control, speed, and compliance, and offers a clear starting point for choosing the right strategy.
Let us know if you’d like to explore further what works best for your organization.
Agentic AI in Healthcare: Cut Costs, Ease Overload, and Improve Care
Many healthcare teams face growing administrative pressure and care demands. In our LinkedIn post, we explain why more providers are turning to AI agents to ease the load.
These systems handle patient intake, triage, documentation, and communication, reducing delays, cutting costs, and freeing up clinical time.
At Akvelon, we build custom AI agents that handle:
- Patient intake and triage
- Appointment coordination
- Clinical documentation
- Virtual patient assistance
- Revenue cycle automation
If you're looking to improve efficiency without overextending your team, we’re here to help.
Keep up with the latest tech news, carefully curated and analyzed by Akvelon's experts:
Microsoft Build 2025: Agentic Infrastructure Goes Mainstream
Microsoft Build 2025 introduced major advances in multi-agent orchestration, AI infrastructure, and developer tools, which included GitHub Copilot upgrades, Azure’s SRE Agent, and support for Model Context Protocol in Azure AI Foundry. As a long-time Microsoft Partner, Akvelon is here to help you turn these innovations into real enterprise solutions.
Google I/O & Vertex AI: Smarter AI Across the Stack
Google’s June latest updates introduced major improvements across Gemini and Vertex AI. The Gemini CLI is now open source, enabling faster prototyping and code automation. Gemini 2.5 Flash and Pro are generally available, offering lower inference costs and stronger reasoning capabilities. Veo 3 introduces cinematic text-to-video generation with sound, and new RAG starter kits and agent security guidelines further enhance a push for more scalable, secure, and multimodal AI development.
Share your feedback and ideas about what you’d like to see on Akvelon’s LinkedIn by emailing info@akvelon.com!