We design secure, scalable cloud environments across AWS, Microsoft Azure, Google Cloud, DigitalOcean and Hetzner — aligned with your applications, workloads and operational requirements.
AWS, Google Cloud, Microsoft Azure, Hetzner, DigitalOcean, BigRock
Cloud solutions cover the design and build of the infrastructure an application runs on in a public cloud — networking (VPC/VNet), identity and access, compute, storage, databases, high availability and backup — defined so the environment is secure, repeatable and able to grow with the workload.
Cloud infrastructure should support growth without becoming difficult to operate. Most production environments are built from the same core building blocks — compute, networking, storage, databases and identity — but how those blocks are architected determines whether the result is easy to run or a constant source of firefighting.
Isha Technologies helps design and implement cloud foundations covering architecture, networking, identity, compute, storage, resilience and operational visibility, so the environment is built correctly the first time rather than patched together under pressure.
Infrastructure grew organically without a deliberate design, making changes risky and troubleshooting slow.
A single instance, zone or database going down takes the whole application with it.
Everything can reach everything else, with no real separation between public, application and data layers.
Environments are built by hand, so nobody can say with confidence what is actually configured in production.
Design cloud environments around application requirements, workload characteristics and future growth.
Build structured environments for compute, storage, networking and application workloads.
Design VPC/VNet architecture, routing, connectivity, segmentation and secure network boundaries.
Implement practical IAM structures, least-privilege access and environment separation.
Design resilient architectures with appropriate redundancy and failure considerations.
Plan backup, recovery and disaster recovery strategies around business requirements.
Review workloads, requirements and constraints.
Design the target cloud architecture.
Build infrastructure as code.
Apply access control and hardening.
Verify resilience and behavior.
Refine as workloads evolve.
Environments designed to grow with your workloads.
Infrastructure defined as code and repeatable.
Access control and segmentation built in from the start.
Clearer visibility into how infrastructure behaves.
We help teams assess existing infrastructure, plan migration paths and move workloads to cloud environments — including containerization and application modernization — with a structured, validation-driven approach.
We help teams maintain cloud infrastructure through monitoring, maintenance, operational support, backup oversight, security practices and continuous improvement.
We analyze cloud usage, infrastructure architecture and resource allocation to identify practical opportunities for improving efficiency, controlling unnecessary spend and building lasting cost governance.
We assess and strengthen cloud security posture — identity and access management, network security, secrets management and audit visibility — across AWS, Microsoft Azure and Google Cloud environments.
More on this and related topics.
AWS Agent Registry gives enterprises a centralized, governed catalog for discovering and approving AI agents, tools, skills and MCP servers — here is how it works and what it does not solve.
A complete guide to Amazon CloudWatch Omni, AWS's AI-powered observability platform for applications and AI agents, built on OpenTelemetry.
A practical guide to designing cloud infrastructure with the right balance of reliability, security, scalability and operational control.
It depends on your existing tooling, team familiarity, budget and compliance needs. We work across AWS, Microsoft Azure, Google Cloud, DigitalOcean and Hetzner, and help you choose (or validate) a provider based on your actual requirements rather than a default assumption.
Yes. Most engagements start with an assessment of the existing environment — what exists, how it is configured, and what is genuinely at risk — before proposing changes, rather than starting over from scratch.
As code, by default. Manual configuration is fine for early experimentation, but production infrastructure should be reviewable and repeatable — we use Terraform and Ansible so every change has a history and can be recreated reliably.
It depends on scope — a focused architecture review can take a few weeks, while a full environment build-out for a new product takes longer. We'll give you a realistic estimate after the initial assessment, not a generic number.
Tell us what you're building, where you're facing infrastructure challenges, and what you want to improve.
Not sure where to start? Request a free infrastructure audit →
