Scalable, secure, and cost-efficient cloud infrastructure and managed services — from cloud migration and architecture design to fully managed SaaS deployments for geospatial and enterprise workloads.
Modern geospatial and software workloads demand infrastructure that can handle petabytes of satellite imagery, real-time field data streams, and concurrent portal users — without manual intervention or unexpected downtime. Cloud infrastructure is the answer, but it requires expertise to design, deploy, and manage correctly.
Planora's cloud team designs, migrates, and manages cloud environments on AWS, Microsoft Azure, and Google Cloud Platform. We specialise in geospatial cloud architectures: cloud-optimised GeoTIFF storage, tile server deployment, spatial database clusters, and automated processing pipelines triggered by incoming data.
Whether you need to lift-and-shift an existing system to the cloud, architect a cloud-native greenfield application, or reduce your monthly cloud bill through optimisation — Planora delivers practical, well-documented cloud solutions.
A Planora cloud migration for a state survey department reduced infrastructure costs by 58% while improving satellite image processing throughput by 4× using AWS auto-scaling EC2 and S3 Cloud-Optimised GeoTIFFs.
Lift-and-shift or re-architect your on-premise servers, databases, and applications to AWS, Azure, or GCP — with minimal downtime and a clear rollback plan.
Infrastructure architecture for new applications: compute, storage, networking, security, and cost models — designed before the first resource is provisioned.
Fully automated, version-controlled infrastructure using Terraform and Ansible — reproducible, auditable, and disaster-recovery-ready from day one.
Dockerise your applications and orchestrate them with Kubernetes (EKS/AKS/GKE) for auto-scaling, rolling updates, and zero-downtime deployments.
Cloud-managed PostgreSQL/PostGIS clusters with automated backups, point-in-time recovery, read replicas, and high-availability failover configurations.
Automated pipelines for satellite imagery ingestion, GeoTIFF processing, tile generation, and spatial analysis — triggered on data arrival, scaled on demand.
Cloud billing audit, right-sizing recommendations, reserved instance planning, and spot instance strategies to reduce your monthly cloud spend significantly.
IAM policies, VPC security groups, WAF rules, encryption at rest and in transit, audit logging, and compliance frameworks (ISO 27001, SOC 2, GDPR) setup.
Audit your current infrastructure, applications, and data. Identify workloads suitable for cloud, estimate costs, flag dependencies, and recommend the right cloud platform and migration strategy.
Design the target cloud architecture: VPC layout, compute sizing, database cluster, storage tiers, CDN, and security perimeter. Cost modelling with 3-month and 12-month projections provided upfront.
All cloud resources provisioned via Terraform — no manual console clicks. Version-controlled, peer-reviewed, and applied in staging before touching production.
Staged migration with data sync, DNS cut-over planning, and parallel-run period. Zero-data-loss migration guaranteed by validation checksums at every stage.
Automated deployment pipelines, application performance monitoring (Grafana/CloudWatch), alerting rules, uptime checks, and log aggregation configured and tested.
Full documentation, runbooks, and dashboard handover to your team. Optional managed cloud operations — Planora monitors and maintains your infrastructure on a monthly retainer.
We design cloud-agnostic architectures to avoid vendor lock-in — giving you the freedom to optimise cost and capability over time.
EC2, S3, RDS Aurora, Lambda, CloudFront, EKS — the world's most comprehensive cloud platform for scalable geospatial and enterprise workloads.
Certified AWS architectureAKS, Azure Blob Storage, Cosmos DB, Azure Maps, and Azure Active Directory — ideal for enterprise and government clients with Microsoft ecosystem alignment.
Gov-compliant / hybrid-readyGKE, Cloud Storage, BigQuery, Earth Engine integration, and Cloud Run for serverless geospatial processing at massive scale.
Earth Engine / BigQuery GeoInfrastructure as Code tools for automated, repeatable, and version-controlled cloud resource provisioning across any cloud provider.
IaC / GitOps pipelineContainerise every service. Orchestrate with Kubernetes for horizontal auto-scaling, health checks, rolling deployments, and service mesh networking.
Auto-scaling / zero-downtimeOpen-source monitoring stack with real-time metrics, custom dashboards, and PagerDuty/Slack alerting for 24/7 infrastructure observability.
99.9% SLA monitoring