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Our Innovative Platform built to empower your Cloud Team with Intelligent Remediation

Pioneering the world of self-healing, self-aware, self-sustaining, self-resilient, self-secure and intelligent remediation, MatosSphere brings a complete cloud security and governance solution for your cloud infra.

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Your workloads may be ready for self healing, but is your infrastructure? Can you trust your cloud solutions to recover from disaster and keep your applications running smoothly? With MatosSphere, you can. More...

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Intelligent Remediation

Deep insights, infra as code, network policies, IAM and AD integrations, monitoring, logging and tracing. These are the tools used by our intelligent remediation engine to fix policy and governance issues with your infra. Trust on autopilot. More...

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Secured Landing Zone

When you need a highly secured, compliant and governed cloud environment vending machine, this makes it easy to build and maintain your environments across all of your org. More...

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Self-Healing Cloud Infrastructure Architecture

With large sets of data and a well thought out design, our SaaS solution provides you best in class tools to set the complaint architecture you want, with relatively small efforts.

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What Makes Us Unique

Leverage your team with tools to reduce wasteful spending

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Reducing complexity in cloud management

We bring the APIs of popular cloud providers to a simple integrated platform which lets you manage everything from a single solution


We leverage Influx DB to store historical data for your environments. Allowing you to quickly inspect/review past and present data

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Deep Observability and Intelligent Remediation

MatosSphere includes tools to help you both observe your complex environment and remediate common problems from a single solution

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Multi-Tool Deployment Management

Deploy module allows you to quickly deploy cloud infra using a git repo, with familiar tools such as terraform, ansible and helm


Explore the Platform

Observability and Remediation tailored into a Single Platform. Finally, the wait is over!

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Use Cases


Random downtime

A cloud admin is dealing with a recurring bug, when certain applications are deployed, they will randomly shut down within 1 full day. The rest of the infrastructure is fine and this only occurs during off-hours.
  • Auto-remediate by reverting to last working state of infrastructure
  • Setup up replicas for workload pods so that at least one workload pod is always active at any instance of time in case of K8’s
  • Auto-remediate using snapshots to trigger new instances
  • Setup DR to enable continuous uptime

Auto Scaling, Repair, remediation

A company is supporting production multi-tenant applications across several teams and projects. The applications are designed to be short-lived on-demand VMs. During deployment, the cloud admin sets limits on scaling, thresholds for disk and network, and other options. Once connected, the system keeps an eye on everything.
  • Auto-scale relevant resources like disks within defined limits
  • Revert to existing state within defined limits based on existing policies

Infrastructure as Code

You are an DevOps admin, with multiple accounts/platforms to manage. Your co-worker requests a GKE cluster with a wordpress deployment on it. You must now write this infrastructure as code for your co-worker, you must ask them details such as scaling and security and performance, you must maintain it.
  • Use existing IAC templates from repository
  • Use your own IAC template and share it with team under your account
  • Spawn new templates by making relevant changes from existing templates
  • Execute the templates and monitor end-to-end deployment

Multi-Cloud Environments

Customer is making their first steps into the cloud journey. Their environment is mostly on one cloud but they want to add another cloud in their environment for redundancy purpose.
  • Deep observability across overall infrastructure resources which enables recommendations across cloud platforms
  • Templates repository to use/manage IaC/PaC with on the fly customizations to parameters as needed
    • Use secured and compliant Landing Zone IAC from the repository to setup fresh infrastructure
  • Evolve and scale along with infrastructure

Exposed External Endpoints

A Cloud SQL Database accessed from a workload on GCP GKE K8’s is exposed on a public endpoint which leads to security risk and vulnerability.
  • Convert public endpoint to private endpoint
    • Update workload configuration
  • SQL Proxy as sidecar
    • Subnet and firewall re-configuration
    • Private IP and network peering
    • VPC Native cluster and workload identity
    • GSA and KSA and workload identity user
    • Cloud SQL proxy as sidecar
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Meet the Team

Maulik Shyani


Jason Pfeifer


Edward Sarker

Head of Cloud

Ajay Abhyankar

Sr. Director Engineering

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CloudMatos Resources

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