Public & Hyperscale Cloud

Layots architects multi-cloud solutions using AWS Direct Connect, Azure ExpressRoute, and Google Cloud Interconnect with redundant path routing to achieve 99.99% availability SLAs.

By deploying zero-trust network access (ZTNA), automated cloud security posture management (CSPM), and continuous infrastructure as code (IaC) compliance guardrails.

A hyperscaler is a cloud provider that operates its own global data centre estate at a scale where compute, storage and networking can be added almost without limit, and where the data centres, network fabric and often the silicon are designed in-house. The term describes an operating model rather than simply a large customer base. The defining traits are ownership of the physical layer, elasticity as a property of the platform rather than a project, and a catalogue sold as APIs rather than as servers.

Yes. Amazon Web Services is the largest hyperscaler. The commonly cited big three are AWS, Microsoft Azure and Google Cloud Platform, and all three meet every criterion: purpose-built global data centres, private fibre, custom silicon such as AWS Graviton or Google TPUs, and extensive managed service catalogues. Alibaba Cloud, Oracle Cloud Infrastructure and IBM Cloud are usually placed in a second tier with narrower catalogues or thinner regional coverage.

AWS, Microsoft Azure and Google Cloud Platform. For Indian enterprises these three are almost always the practical shortlist, because they have the strongest local region availability — Mumbai and Hyderabad — and the clearest data-residency options. Layots is platform-independent across all three and selects based on your existing identity provider, licensing position and the specific workload rather than a fixed vendor preference.

There is no general winner. Azure usually wins where a Microsoft estate already exists, because of Entra ID federation and Hybrid Benefit licensing. AWS has the widest managed service catalogue and the deepest talent pool. Google Cloud is typically strongest for data analytics and machine learning, and GKE remains the most mature managed Kubernetes. All three offer Indian regions. Layots recommends against reflexive multi-cloud: running one workload on two providers doubles the operational surface and rarely improves resilience, since most outages are configuration errors rather than provider failures.

Most enterprises overspend by 25 to 40 percent, and the causes are consistent: instances sized during migration and never revisited, steady-state workloads left at on-demand rates instead of committed pricing, orphaned volumes and idle load balancers, unmodelled data egress between regions and zones, and non-production environments running overnight. None of it is fixable until spend is attributable to a team and a service through consistent tagging, which makes cost control an ownership problem before a technical one.

No. Steady-state workloads with flat, predictable demand are frequently cheaper on dedicated infrastructure or in colocation. Hyperscale economics reward variability — bursty traffic, seasonal peaks, unpredictable growth — because you stop paying for idle capacity. Layots regularly recommends leaving part of an estate on-premise or in colocation, since a migration that raises your run rate without buying elasticity has achieved nothing.

A Public or Hyperscale Cloud is a massive, globally distributed compute and storage infrastructure provided by companies like Amazon (AWS), Microsoft (Azure), and Google (GCP). It allows enterprises to scale resources up or down instantly based on demand, paying only for what they use.

We provide expert-level management and migration services across the 'Big Three' hyperscalers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). We also specialize in multi-cloud and hybrid-cloud architectures that combine these platforms.

Through our FinOps practice, we continuously analyze your cloud spend. We implement cost-saving strategies such as right-sizing idle resources, utilizing Reserved Instances (RIs) or Savings Plans, and automating resource shutdown during off-peak hours, typically saving clients 20-40% annually.

Yes. Public clouds are built with 'Security by Design'. Layots further hardens your environment by implementing Identity and Access Management (IAM), data encryption at rest and in transit, and continuous security monitoring via tools like AWS GuardDuty or Azure Defender for Cloud.