SSIS India offers you the best in class AWS managed cloud services IN Mumbai and other regions. We closely work with our client to design the perfect AWS environment and help you to build the best strategy as per business needs. We offer you assistance for existing cloud infrastructure. We develop AWS cloud for both large scale and small scale businesses. Our expert team helps you in designing, deploying, and supporting a suitable cloud solution as per the scale of your application. Our services include - cloud assessment, cloud strategy plan, design and development, Datacenter to cloud migration, cloud automation, and optimization.
Microsoft Azure Cloud Services are an open cloud platform for hosting ad running the Microsoft data centers. Our professionals provide you a complete range of Azure cloud services and Azure solutions on existing web-based platforms. We also offer you integration with other platforms like SQL or existing cloud platform. Azure services can be used for hosting core services like Infrastructure as a service (IaaS) for data migration or email or deployment of your solutions and applications. Our experienced team performs a complete analysis of existing applications and portfolios. After analysis, creates a strategic plan for the cloud and then suggest the suitable delivery models as per requirement. We help you in building a robust platform with the best performance and security with an affordable pricing structure. We offer you trusted and reliable services for your requirements.
SSIS India offers you a trusted and reliable Google cloud computing platform for your applications. It is a comprehensive cloud computing platform with a variety of services like virtual machines, storage, machine learning, big data analysis, and many more. Our experienced and expert team members help you in infrastructure support for search engines like youtube, google search, and designing complex websites and applications. We offer modular cloud-based service with different development tools such as hosting, cloud storage, computing, data storage, prediction APIs, etc. We help you in building a robust platform with the best performance and security with an affordable pricing structure. We offer you trusted and reliable services for your requirements.
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Cloud computing has fundamentally changed how businesses think about IT infrastructure. Instead of purchasing servers, managing data centres and worrying about hardware refresh cycles, businesses can now consume compute, storage, databases and AI services on demand paying only for what they use. Microsoft Azure and Google Cloud Platform are the two leading enterprise cloud platforms, each with distinct strengths that make them the right choice for different workloads and organisations.
SSIS India's cloud practice helps Mumbai businesses migrate their existing on-premise workloads to the cloud, build new cloud-native applications, and manage their ongoing cloud infrastructure optimising for both cost and performance.
For organisations in the Microsoft ecosystem using Windows Server, SQL Server, Active Directory, Exchange and Office 365 Azure is the natural cloud platform. Azure integrates seamlessly with existing Microsoft investments and provides the best hybrid cloud story for businesses that need to keep some workloads on-premise while moving others to the cloud.
SSIS India's Azure services cover Azure Virtual Machines for lift-and-shift migrations, Azure SQL Database and Azure SQL Managed Instance for database workloads, Azure App Service for web application hosting, Azure Blob Storage for document and file storage, Azure Active Directory for identity management, Azure Virtual Network for secure connectivity, and Azure Backup for disaster recovery. We also implement Azure Cost Management to ensure cloud spending is optimised and predictable.
For businesses building modern applications, we implement Azure Kubernetes Service (AKS) for containerised workloads, Azure Functions for serverless computing, Azure Service Bus for asynchronous messaging, Azure API Management for API gateway capabilities and Azure DevOps for CI/CD pipelines.
Google Cloud Platform excels at data analytics, machine learning and containerised application workloads. Its BigQuery managed data warehouse is unmatched for large-scale analytics at low cost. Its Kubernetes Engine (GKE) was the original managed Kubernetes service and remains a leader. And its AI/ML services Vertex AI, Vision AI, Natural Language AI are built on the same infrastructure that powers Google Search and Gmail.
SSIS India implements GCP for analytics-heavy workloads where BigQuery provides significant cost and performance advantages over SQL Server-based analytics, for organisations building ML pipelines using Google's Vertex AI platform, and for greenfield application development where GCP's developer experience and tooling align well with the development team's skills.
A cloud migration is not simply copying files from a server to a cloud provider. Done incorrectly, it can result in higher costs than on-premise, poor performance and increased security risk. SSIS India follows a structured migration methodology starting with a Cloud Readiness Assessment evaluating your current infrastructure, applications, data, security requirements and compliance constraints to determine what should migrate, when and to which platform.
We use the 6Rs migration strategy framework: Rehost (lift-and-shift), Replatform (move and improve), Repurchase (replace with SaaS), Refactor (re-architect), Retain (keep on-premise) and Retire (decommission). Not every workload should move to the cloud, and not every cloud migration should be a simple lift-and-shift. Our assessment recommends the appropriate migration strategy for each workload based on its specific characteristics.
Cloud spending can spiral quickly without active management. Many organisations move to the cloud expecting cost savings but find their bills are higher than anticipated because of over-provisioned instances, unused resources left running and premium services that were not necessary. SSIS India's cloud cost optimisation services conduct a spend analysis, identify saving opportunities (right-sizing instances, Reserved Instance or Committed Use Discount purchases, storage tiering, eliminating unused resources) and implement automated cost controls that prevent budget surprises.
