IT Services
Multi-Cloud Strategies

Optimizing multi-cloud infrastructure for a B2B SaaS platform

Altimi helped optimize a fast-growing B2B SaaS company’s multi-cloud infrastructure to ensure high availability, scalability, and operational efficiency. The company develops an NLU engine for chatbots, voicebots, and robots, powering around 30 active chatbots across Banking, Insurance, Retail, and HR with top-tier performance metrics.

Challenge

Managing Multi-Cloud Complexity

Implementations

The company deployed multi-cloud networks using AWS and Azure to ensure secure, scalable, and reliable operation of its chatbots. Alongside computing power, additional services were implemented to provide a secure and coordinated solution.

Operations

The client sought a partner with expertise in cloud infrastructure migration, Kubernetes cluster management, data management, and process automation. Altimi assembled a dedicated team of software development and IT operations specialists, including front-end developers, testers, administrators, and DevOps engineers, providing a total of 8 developers throughout the engagement.

Solution

Multi-Cloud, DevOps, and Automation

Provisioning infrastructure across multiple clouds increases fault tolerance, enabling graceful recovery from provider outages. However, multi-cloud deployments introduce complexity due to differing interfaces, tools, and workflows. Altimi simplified management and orchestration for large-scale, multi-cloud infrastructures by implementing a comprehensive solution:

Infrastructure & Cloud Management

  • Multi-cloud provisioning with AWS and Azure for secure, scalable, and reliable operations
  • Terraform for unified workflows and cross-cloud dependency management
  • Deployment on Azure Kubernetes Service (AKS)

DevOps & CI/CD

  • Implementation and optimization of GitLab CI/CD pipelines
  • Continuous integration and delivery improvements
  • Microservices development and orchestration with Kubernetes
  • Monitoring and alerting of production clusters

Operational Efficiency

  • Centralized data management across cloud environments
  • Mobile- and remote-friendly development and testing environments
  • Feature toggles and modular infrastructure design for scalable, iterative improvements
Results

Reliable, Scalable, and Future-Ready Infrastructure

The multi-cloud, DevOps, and automation solutions delivered measurable improvements in system performance and operational efficiency. System reliability increased by +90% thanks to multi-cloud redundancy, while deployment and scaling of CI/CD pipelines became +70% faster. Managing cross-cloud resources was streamlined, boosting operational efficiency by +60%.

Infrastructure orchestration and monitoring were simplified, enabling smoother collaboration between software development and IT operations teams. These improvements translated into higher developer productivity and a reduced time-to-market for new features, ensuring a robust, scalable, and future-ready IT environment.

FAQ

Multi-Cloud Infrastructure & DevOps Optimization

Why use a multi-cloud approach?

A multi-cloud strategy enhances fault tolerance, resilience, and scalability by distributing workloads across multiple cloud providers. This reduces the risk of downtime due to outages and ensures continuous availability of critical applications.

How does Terraform help in multi-cloud management?

Terraform provides a unified workflow for managing multiple cloud providers. It handles dependencies between resources across clouds, simplifies orchestration, and ensures consistent, repeatable deployments for large-scale infrastructures.

Can this infrastructure support rapid scaling?

Yes. By leveraging Kubernetes, microservices architecture, and automated CI/CD pipelines, the infrastructure can scale seamlessly to meet increasing workload demands or rapidly deploy new applications and services.

How is operational efficiency improved?

Operational efficiency is enhanced through centralized management, automated CI/CD processes, proactive monitoring, and alerting. These practices reduce manual intervention, minimize errors, and accelerate deployment cycles.

Is this setup future-proof?

Absolutely. The modular architecture, feature toggles, and microservices design allow continuous optimization, easy integration of new tools or services, and adaptability to evolving business needs, ensuring long-term sustainability and scalability.

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