Cloud and Infrastructure

Google Cloud delivery for data and scale

Kipanga designs, deploys, and operates Google Cloud environments for organizations that require secure, scalable infrastructure and strong operational controls. We support migrations, platform modernization, analytics foundations, and AI-ready architectures.

0%
Uptime SLA
0%
Avg Cost Reduction
0/7
Monitoring and Support
Our Solutions

End-to-end
Google Cloud services

Architecture, implementation, and ongoing operations for secure, scalable cloud platforms.

We design baseline Google Cloud environments with clear project hierarchy, networking controls, and identity boundaries. This establishes a secure operating model before any workloads are deployed.

Organization and folder hierarchy design
VPC networking and shared VPC architecture
IAM roles, policies, and least-privilege access
Centralized logging with Cloud Logging and audit trails

We assess existing workloads and define migration pathways based on business risk, technical complexity, and operational dependencies. Workloads are migrated in planned phases with clear rollback controls.

Workload discovery and dependency mapping
Migrate for Compute Engine and database migration
Phased cutover with rollback plans
Service continuity validation and performance testing

Deploy workloads on the right compute tier — from managed VMs to fully orchestrated Kubernetes clusters. We right-size your compute estate and implement auto-scaling for cost efficiency.

GKE cluster architecture and management
Cloud Run for serverless containers
Compute Engine with managed instance groups
Preemptible and spot VM cost strategies

Build secure, performant network architectures with Google's global backbone. We implement defense-in-depth controls, private connectivity, and DDoS protection for your cloud estate.

Cloud Armor WAF and DDoS protection
Cloud Interconnect and VPN for hybrid connectivity
Private Google Access and VPC Service Controls
Security Command Center for threat detection

Automate your infrastructure provisioning and application deployments with repeatable, auditable pipelines. We implement GitOps workflows and IaC practices that reduce configuration drift.

Terraform modules for GCP resource provisioning
Cloud Build and Cloud Deploy pipelines
Artifact Registry for container and package management
GitOps workflows with Config Sync
Scalable Cloud Platform
Built for Growth

Scalable Cloud Platform

We establish secure, well-governed Google Cloud foundations that support your current workloads and scale with future demand. Landing zones, identity controls, and networking are designed for operational maturity.

  • Project hierarchy aligned to organizational structure
  • Centralized security and compliance controls
  • Network architecture for multi-region deployments
  • Automated provisioning with Infrastructure as Code
  • Clear governance for engineering and operations teams
Data and Analytics
Intelligence at Scale

Data and Analytics

Leverage Google Cloud's data and AI services to centralize analytics, build reliable pipelines, and enable machine learning initiatives on governed, trusted data foundations.

  • BigQuery and data warehouse architecture
  • ETL/ELT pipeline design and implementation
  • Real-time streaming and event processing
  • ML model training and serving infrastructure
  • Data governance and access controls
Managed Operations
Operational Excellence

Managed Operations

Ongoing management, monitoring, and cost optimization for your Google Cloud environment. We provide operational runbooks, incident workflows, and FinOps practices to maintain platform health.

  • Proactive monitoring and alerting
  • Incident response and escalation workflows
  • Cost management and budget enforcement
  • Performance optimization reviews
  • Operational runbooks and accountability models
Technologies

Tools we use

We leverage Google Cloud services and industry-standard tooling to build robust platforms.

Compute EngineGKECloud RunCloud FunctionsBigQueryCloud StoragePub/SubDataflowVertex AICloud SQLTerraform
11 technologies
Use Cases

When to use this

01

Cloud Migration

Migrate workloads to Google Cloud with phased execution, rollback controls, and service continuity.

02

Data Platform

Build analytics and AI foundations on BigQuery, Dataflow, and Vertex AI with governed data access.

03

Platform Modernization

Standardize environments, automate controls, and improve delivery speed with mature cloud operating models.

Our Process

From assessment to operations

01

Assess

Current State Analysis

Evaluate existing infrastructure, workloads, and operational maturity to define target-state platform.

02

Design

Architecture Planning

Create target architecture with security, identity, and governance controls aligned to delivery priorities.

03

Implement

Migration and Build

Execute phased migration or new build with Infrastructure as Code and automated verification.

04

Operate

Management and Optimization

Continuous monitoring, incident management, cost optimization, and operational governance.

4 phases

Platforms and Partners

Google Cloud
Kubernetes
Terraform
Datadog
Docker
GitLab

Get in touch about GCP Solutions

Get expert guidance on Google Cloud architecture, migration, or optimization requirements.

* field required.

Kipanga is committed to protecting and respecting your privacy, and we'll only use your personal information to provide the products and services you requested from us.