The 12 Best Cloud Migration Platforms in 2026
March 13, 2026
How We Help Your Business Scale
Dedicated Teams
Close your talent gap with senior, cross-functional teams that integrate directly into your workflow. Whether you need individual experts, feature pods, or full product teams, we provide the senior-level capacity needed to unblock workstreams immediately.
Quality Engineering
Shift left with automated and manual testing integrated into every stage of your lifecycle. We help you maintain reliability as your codebase grows, catching defects early to accelerate releases without compromising on security or user experience.
Cloud Migration
We execute end-to-end migrations from on-premises to cloud with zero downtime. Using automation frameworks and the 7 Rs methodology, we ensure each workload moves using the most cost-effective approach.
Cloud Adoption Strategy
We analyze your infrastructure and business objectives to create a cloud transition roadmap. Our team evaluates AWS, Azure, or GCP platforms and designs a migration strategy that minimizes risks and meets your budget.
Cloud Application Development
We build cloud-native applications using serverless architectures and containerized microservices. They’re optimized for AWS Lambda, Azure Functions, or Google Cloud Run with built-in high availability, scaling, and cost efficiency.
Cloud Modernization
We modernize existing applications into cloud-native solutions by re-architecting monolithic systems into microservices and implementing containerization with Docker and Kubernetes.
Why Partner with Streamlogic for Dedicated Teams?
What Our Clients Say
In three decades working with global supply chains, I've seen many technology initiatives fail because they overlook the human infrastructure of decision-making. Streamlogic took a different path. We co-developed a framework that enhances, rather than overrides, the judgment of middle managers - the real engine of operational agility. The impact has been clear: faster decisions and better consistency across the board. Their team brought empathy, structure, and a rare fluency in how real organizations think and move. One of the smoothest integrations I've witnessed.
Prof. Denis Lescop
Founding Director, Arx Alliance Corp. (Canada)
Working with Streamlogic feels less like hiring a vendor and more like expanding your own team. Their depth in emerging technologies is matched by a rare ability to integrate seamlessly into our culture and ways of working. From day one, their team spoke our language, asked the right questions, and delivered with the kind of ownership you only expect from internal staff. It's a true partnership built on trust, clarity, and forward-thinking execution.
Olga Cherkasova
Chapter President, International Institute of Business Analysis (IIBA)
How We Deliver Your Solutions
1
Discovery
We audit systems, data flows, and compliance posture to identify hidden dependencies that block decisions.
2
Architecture
We design target architecture with cost modeling and policy-as-code to eliminate patchwork systems that cause cost spikes.
3
Execution
Our senior engineers embed into your workflows to modernize services and fix slow delivery cycles.
4
Scale
We implement SLOs, telemetry, autoscaling, and FinOps practices to replace reactive operations.
FAQ
How do you match engineers to our project?
We assess your technical stack, project requirements, and team culture. Then match engineers based on skillset, communication style, and domain experience. You interview candidates before they start work.
What's the difference between the three models?
Team Extension embeds individual engineers into your existing teams for tactical capacity. Feature Pods provide a small autonomous team (2-4 engineers + lead) focused on delivering specific features. Product Teams offer a full cross-functional unit (6-12 engineers + PM) for long-term product development.
How quickly can engineers start?
Team Extension: 5-7 days. Feature Pods: 7-10 days. Product Teams: 10-15 days. Timeline depends on technical requirements and engineer availability.
Can we switch between engagement models?
Yes. Start with Team Extension for immediate capacity. Add Feature Pods when specific features need dedicated focus. Scale to Product Teams for long-term development. We adjust engagement models based on your evolving needs.
Do you provide trial periods?
We offer flexible engagement terms. Start with a short engagement to validate fit. Extend if the collaboration works well. No long-term commitment required upfront.
Dedicated Team Insights
Streamlogic in Munich: AI Infrastructure Summit Europe 2026
March 11, 2026
Streamlogic at London Lab Live 2026
March 5, 2026
Ready to Scale Your Development Capacity?
Talk to our team about engagement model fits your needs.
Denis Avramenko
CTO, Co-Founder Streamlogic