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AI Workflow and Operations
Data Management and Operations
AI Governance
Analytics and Insights
Observability
Security Operations
Risk and Compliance
Procurement and Supply Chain
Private Cloud AI
Vision AI
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Analyze legacy architectures to identify modernization candidates based on technical debt, performance, and business impact
Break down monolithic applications into independently deployable microservices using Docker, Kubernetes, and service mesh architectures
Replatform and rearchitect applications to leverage cloud-native services across AWS, Azure, and Google Cloud for scalability and resilience
Integrate modern CI/CD pipelines, infrastructure as code (IaC), and automated testing to ensure faster and safer software delivery cycles
Empower faster development and deployment by adopting modular, scalable, and resilient application designs. Modern app architecture supports continuous delivery, simplifies maintenance, and enables seamless integration with cloud-native services, driving innovation at scale
Transform apps by decoupling components and leveraging modern platforms for higher performance, portability, and flexibility
Adopt Kubernetes orchestration to enable dynamic scaling, zero-downtime deployments, and efficient resource management
Build secure, scalable APIs to enable interoperability, improve integration, and support a composable enterprise strategy
Automate build, test, and deployment processes with GitOps and DevSecOps practices for improved quality and faster time-to-market
Align modernization priorities with business goals by mapping application capabilities to digital initiatives and customer experiences
Optimize workloads for multi-cloud and hybrid environments, enabling flexibility, portability, and cost control across cloud providers
Embed fault tolerance, chaos engineering, and performance benchmarking to ensure availability and high-performance user experiences
Integrate observability and AI-powered automation for real-time monitoring, anomaly detection, and proactive issue resolution
Transform your stack with DevSecOps, infrastructure automation, and SRE best practices to create a cloud-enabled architecture strategy
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Replatform using cost-effective, scalable technology solutions designed for modern platforms to enhance efficiency and performance
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Develop serverless applications with self-healing, responsive, and auto-scaling capabilities for improved performance and reliability
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Ensure seamless big data migration with meticulous planning, phased execution, zero-downtime, and trickle migration, optimizing cloud workload for reliability and scalability
Unlock agility, innovation, and operational efficiency by migrating legacy systems to modern, resilient, and cloud-optimized architectures
Accelerate development cycles with modern tools, agile methodologies, and reusable architecture components
Enable applications to auto-scale with demand using microservices and cloud-native architecture
Mitigate risks by updating legacy security practices, applying DevSecOps, and meeting regulatory requirements with secure infrastructure
Empower engineering teams with modern tools, APIs, and self-service environments for faster innovation
Eliminate legacy constraints, reduce maintenance overhead, and future-proof applications for long-term growth
Right-size compute resources and utilize managed services to control costs while maintaining performance
AI continuously monitors systems for risks before they escalate. It correlates signals across logs, metrics, and traces. This ensures faster detection, fewer incidents, and stronger reliability.
AI converts camera feeds into instant situational awareness. It detects unusual motion and unsafe behavior in real time. Long hours of video become searchable and summarized instantly.
Your data stack becomes intelligent and conversational. Agents surface insights, detect anomalies, and explain trends. Move from dashboards to autonomous, always-on analytics.
Agents identify recurring failures and performance issues. They trigger workflows that resolve common problems automatically. Your infrastructure evolves into a self-healing environment.
AI continuously checks controls and compliance posture. It detects misconfigurations and risks before they escalate. Evidence collection becomes automatic and audit-ready.
Financial and procurement workflows become proactive and insight-driven. Agents monitor spend, vendors, and contracts in real time. Approvals and sourcing decisions become faster and smarter.