Edge Computing
Build and manage seamless, zero-touch edge environments with the leading AI platform, ensuring low-latency performance, optimized bandwidth, and robust data privacy and cybersecurity for multi-tenant, multi-user setups.
Familiar Challenges?
Low-latency connections needed
Network and data transfer costs too high
Insufficient network capacity at a specific location
Concerns on data privacy and cybersecurity
Complexities in managing distributed systems and their costs, including service orchestration, monitoring, and CI/CD pipelines
Our Solution and Customer Benefits
Experienced advisory and consulting to support the planning, building, and management of edge environments with Google Cloud’s leading platform, to realize the benefits of edge:
- Enabling real-time decision making with AI at the Source
- New levels of data privacy and security
- Bandwidth optimization and cloud cost reductions
- Enhanced resilience and reliability in disconnected environments
- Orchestrate and monitor distributed workloads across on-premises, edge, and cloud environments
Our Unique Value
Demonstrated experience for edge computing Comprehensive Google Cloud knowledge
Accelerated Deployment Frameworks
Google Cloud Specialization on Application Development
Wide experience and best practices on multiple AI use cases
Our Edge Computing References
Google Cloud Capabilities
Google Kubernetes Engine for Enterprise (Anthos)
Cloud Build, Artifact Registry, and Operations Suite
Cloud Storage, Cloud SQL
PubSub, Cloud Functions
Cloud Monitoring
Terraform, Deployment Manager
BigQuary, Vertex AI
How to Get Started
A workshop to evaluate your low-latency, network-heavy, and data sovereignty workloads
Creating a centralized management architecture
Implementing pilot edge workloads
