Our Cloud Consulting Approach
Tap our Cloud experts have the knowledge to help you both migrate and modernize your Cloud infrastructure, with a zero-disruption transformation.
1. Engage
Engage with a Cloud expert
Share your unique problems and goals with our Cloud expert who is adept at helping you choose the optimal Cloud Solution.
2. Assess
Assess your Cloud strategy options
Have our Cloud experts meet with your team to discuss solution options and trade-offs and plan implementation focused on solving your most challenging business problem first.
3. Implement
Implement on-time and on-budget
Out of the options we provide, choose the most suitable Cloud tools to build and scale production-ready solution.
4. Support
Get the training and support you need
Our Cloud experts will complete knowledge transfer and train your team to fully understand the technology. We’ll also provide continued support when needed.
Get Expert Cloud Infrastructure Consulting
Move away from rigid, on-premise systems to scalable, flexible architectures. Leverage modern practices like microservices, containerization, and infrastructure-as-code (IaC).
Shift from capital expenditure (CapEx) to operational expenditure (OpEx) paying only for what you use.
Apply cost governance frameworks such as FinOps, auto-scaling, and right-sizing resources.
Ensure resilience and compliance are built in post-implementation. not bolted on. Adopt resilient architectures, security-by-design principles, zero-trust models and compliance automation.
Gain advanced monitoring, telemetry, and analytics capabilities. Inform product and infrastructure decisions using actionable data.
Containerization & Microservices in the Cloud
Embark on a Cloud-Native journey by adopting Containerization. If needed, move from monolithic architecture to microservices. We help you meet your business needs by introducing the right architecture, maximizing the returns of effort and minimizing the TCO (Total Cost of Ownership).
Our Cloud-Native Modernization Service is designed to guide organizations through every phase of this transformation. We begin by evaluating your existing workloads, identifying modernization opportunities, and selecting the most suitable Cloud-Native technologies such as Kubernetes, Docker, and serverless frameworks. By leveraging infrastructure-as-code (IaC) and automated CI/CD pipelines, we ensure your applications are portable, scalable, and resilient across hybrid or multi-cloud environments. This approach not only accelerates deployment cycles but also standardizes operations, reducing human error and ensuring consistent performance across environments.
Beyond technology, our consulting approach focuses on strategic alignment and measurable outcomes. We collaborate with your teams to define service boundaries, optimize communication between microservices, and implement observability stacks that provide deep insights into performance and reliability. Security and compliance are integrated throughout the lifecycle, ensuring your modernization effort meets both technical and regulatory requirements. The result is a future-ready digital foundation. Empower faster innovation, improve scalability under dynamic workloads, and deliver significant cost savings through operational efficiency and automated resource management.
Cloud CI, CD, GitOps & Progressive Delivery
Release applications to the end users with the right quality and fast. Deploy microservices or ML models to Kubernetes or an edge location. Build the right CI/CD architecture with the latest GitOps & Progressive Delivery practices.
Accelerate your software delivery lifecycle with a modern, automated, and resilient pipeline. Our CI/CD and GitOps service helps you design and implement a scalable delivery architecture that ensures every code change moves from development to production seamlessly and safely. We integrate continuous integration (CI) for automated testing and build validation, continuous delivery (CD) for reliable deployments, and GitOps principles to make infrastructure management transparent and version-controlled.
Leveraging progressive delivery techniques such as canary releases, feature flags, and blue-green deployments, we minimize risk while maintaining high velocity.
Whether deploying microservices or machine learning models across Kubernetes clusters or edge environments, we ensure you can deliver innovation faster, with consistency, confidence, and control.
Cloud Observability & Security
Set up and master an observability system based on needs of the application along the axis of logs, metrics & traces with right dashboards and alerting system. Build a solid security on top of observed data.
Centralize Observability Architecture to unify their telemetry data (logs, metrics, and traces) into a single, actionable observability layer. Tailored solutions using industry-leading tools such as Prometheus, Grafana, OpenTelemetry, and ELK/EFK stacks.
Transform raw telemetry data into actionable insights for threat detection and compliance management. Integrates cloud-native security tools: AWS GuardDuty, Azure Security Center, or GCP Security Command Center alongside SIEM and SOAR platforms for centralized incident monitoring and response. Stay secure, auditable, and aligned with frameworks like ISO 27001, SOC 2, and GDPR.
Elevate your monitoring capabilities with AIOps and Predictive Analytics. This proactive layer of intelligence transforms your observability system into a self-optimizing reliability engine, reducing mean time to recovery (MTTR) and improving service-level performance across the enterprise.
Service Mesh, API Gateway Networking
Implement a well-designed layer of secure networking that spans within and across clusters of compute. Implement Consul, LinkerD, Istio, and commercial distributions of these technologies to build and scale the networking layer.
Let's design & implement Service Mesh for a robust, secure, and scalable communication layer across your microservices architecture. Enable zero-trust networking, automatic encryption (mTLS), and intelligent routing without requiring changes to your application code.
Streamline and secure external and internal API traffic with our API Gateway Integration & Management service. Using technologies like Kong, Ambassador, or AWS API Gateway, we design API gateways that manage authentication, rate limiting, and routing for all incoming and inter-service requests.
Multi-Cluster & Hybrid Networking Architecture service focuses on connecting applications across multi-cloud, hybrid, or edge environments through a consistent, policy-driven network layer. We implement federated service meshes and cross-cluster networking patterns that ensure reliable communication between distributed workloads, while maintaining isolation and compliance.
GPU Cloud
Build an AI Cloud with GPUs and open source technologies. Choose bare metal provisioning with Tinkerbell, private cloud with OpenStack, and cloud native technologies such as Kubernetes, Prometheus, and Kubeflow have enabled organizations to build private/public GPU cloud.
Our GPU Cloud Infrastructure Design & Provisioning service helps organizations architect and deploy high-performance GPU clusters optimized for AI and deep learning workloads. Using bare-metal provisioning tools like Tinkerbell and private cloud frameworks such as OpenStack, we design scalable GPU environments that deliver cloud-like flexibility with on-premise control.
Through our Cloud-Native AI Platform Enablement service, we integrate Kubernetes, Kubeflow, and Prometheus to create an intelligent, self-managing ecosystem for your GPU workloads. This service empowers data scientists and ML engineers to deploy, monitor, and scale AI pipelines seamlessly across environments.
Our Hybrid & Multi-Cloud GPU Federation service enables enterprises to unify and manage GPU resources across on-premise, private, and public clouds.
Model Observability & Feedback Loops
Our End-to-End Model Observability Implementation service provides complete visibility into your machine learning models’ behavior in production. Our Continuous Feedback & Model Optimization Loops service establishes a data-driven feedback mechanism between production systems and model training environments.
We integrate infrastructure monitoring, model performance tracking, and data drift detection to ensure predictions remain accurate, fair, and reliable over time. By leveraging tools like Prometheus, Grafana, MLflow, and Evidently AI, we track latency, accuracy, feature drift, and outcome metrics in real-time.
We design pipelines that automatically collect prediction outcomes, user feedback, and real-world signals to evaluate model relevance and retrain as necessary. By incorporating A/B testing, shadow deployments, and automated retraining triggers, we enable models to adapt dynamically to evolving data patterns and user behavior.
Expert Cloud Engineering Consulting Tailored to Your Business Needs
Leverage our certified expertise to create a scalable, efficient, and reliable Cloud infrastructure tailored to your business needs. Let’s discuss how we can support your growth.
Connect with a Cloud EngineerConnect Kubernetes Expert
Connect with a Cloud Infrastructure Engineering Expert
Andrew Korolov
About your meeting
1. Describe Your Challenge & Vision
2. Get Your Platform Roadmap
3. Achieve Your Business Goals
What is included in your Cloud Migration & Modernization Services?
Our services cover the entire cloud transformation journey, from assessment and planning to execution and optimization. We help clients migrate applications, data, and workloads to public, private, or hybrid clouds, while also modernizing legacy systems through containerization, microservices, and serverless architectures. Each engagement includes cost modeling, security planning, and post-migration optimization, ensuring your cloud environment is performant, resilient, and aligned with your business goals.
How do you ensure minimal downtime and data integrity during migration?
We follow a phased migration strategy using automation, replication, and blue-green deployment techniques to minimize disruption. Data is synchronized continuously between old and new environments, ensuring consistency and reliability. Before cutover, we perform comprehensive testing and validation — including application, performance, and failover tests — to guarantee a smooth transition without loss or corruption of data.
What modernization strategies do you use after migration?
After migrating to the cloud, we focus on modernizing your application stack to maximize the benefits of cloud-native technologies. This includes refactoring monoliths into microservices, implementing Kubernetes-based orchestration, integrating CI/CD pipelines, and adopting observability and security frameworks. The goal is to improve scalability, resilience, and development agility while reducing technical debt and total cost of ownership (TCO).
How do you handle security and compliance during migration?
Security and compliance are embedded throughout our process. We conduct cloud readiness and compliance assessments, implement identity and access management (IAM) policies, and enforce data encryption in transit and at rest. Our approach aligns with major frameworks like ISO 27001, SOC 2, GDPR, and HIPAA, depending on client needs. We also integrate cloud-native security tools to ensure continuous protection before, during, and after migration.
What business outcomes can we expect from cloud migration and modernization?
By embracing cloud migration and modernization, organizations typically see reduced infrastructure costs, faster deployment cycles, enhanced performance, and improved reliability. Teams become more agile, innovation accelerates, and maintenance overhead decreases. Additionally, by adopting modern architectures and automation, companies gain better scalability, observability, and security posture, enabling them to respond quickly to market changes and deliver more value to customers.
