An IT manager checks alerts in several consoles and risks discovering an outage too late.
The environment is monitored 24/7, and a detected outage triggers the response and administration process.
24/7 monitoring and maintenance
We specialize in Microsoft Azure, Google Cloud, and AWS. We migrate entire environments to the cloud, build new ones, and organize accounts, subscriptions, policies, and permissions. We administer servers, monitor environments 24/7, respond to outages, secure the infrastructure, and optimize costs. We also deploy AI in the cloud with data processed in the European Union.
See how work changes when the cloud infrastructure is organized.
An IT manager checks alerts in several consoles and risks discovering an outage too late.
The environment is monitored 24/7, and a detected outage triggers the response and administration process.
24/7 monitoring and maintenance
An IT director sees the cloud bill rising but cannot identify the services and decisions driving the cost.
Cloud costs are monitored and managed, and every change to the environment has a named owner.
Cloud cost management
An administrator grants access separately in each project, making it easy to leave permissions too broad.
Accounts, subscriptions, policies, and access form a shared foundation for subsequent environments.
Cloud foundation
A system owner does not know which backup will be used or how the environment will be restored after an outage.
Backups run automatically, and restoration of the environment from backup is tested.
Backup and recovery
A security specialist compares settings manually and cannot be sure that fixes cover the entire environment.
The configuration is reviewed, fixes are deployed, and firewalls and regular penetration tests protect the environment.
Cloud security
A project manager coordinates infrastructure, applications, data, and integrations separately, increasing the risk of overlooking dependencies.
Infrastructure specialists, developers, and the data team work with a shared architecture and division of responsibilities.
Cloud connected to applications and data
Order each service separately or combine them into ongoing environment support. You always know what the engagement delivers.
We review the configuration, access, security, backups, and costs of an operating environment.
You receive: a report listing risks, fixes, and savings opportunities, plus an action plan.
We migrate entire environments to the cloud or build new ones: accounts, subscriptions, networks, policies, and access.
You receive: a working, tested environment with documentation and a cutover that preserves the data.
Monitoring, outage response, server administration, updates, backups, and disaster recovery.
You receive: ongoing support from a team that knows the environment and is accountable for its operation.
Cloud Command Center monitors the environment with AI agents and sends explained events to Microsoft Teams.
Learn about SLA-based support for cloud and other solutions →
Configuration reviews, remediation, firewalls, a web application firewall (WAF), encryption, and penetration testing.
You receive: an environment ready for a security audit, managed within an ISO/IEC 27001-compliant system.
Security and regulatory compliance →We deploy AI models on Azure, Google Cloud (Vertex AI), and AWS in European Union regions and connect them to company data and systems.
You receive: a dedicated AI environment: data remains in the EU, and the models are not trained on client data.
We analyze the cloud bill, align resources with measured usage, and sell cloud licenses and subscriptions.
You receive: a lower, predictable bill and clear accountability for costs.
Three specialized agents check metrics every 15 minutes, track service health, and analyze slow MySQL queries overnight. Instead of a flood of alerts, the team receives one clear card in Microsoft Teams with the cause and recommended action. We deliver Cloud Command Center as part of our support for an Azure, Google Cloud, or AWS environment.
We specialize in Microsoft Azure, Google Cloud Platform, including Vertex AI, and Amazon Web Services. We design, build, and maintain production environments on these platforms, including systems that clients rely on in their daily work. We select the platform to fit the company's environment and objective, not a single vendor.
We have experience deploying AI solutions on Azure, Google Cloud, and AWS. We have 100% control over where data is processed: the data and models run in European Union regions, and the models are not trained on client data. This ensures compliance with the GDPR and the EU AI Act. As in all our AI solutions, a person approves the output.
See AI for business →The infrastructure team works with developers and the data team. As a result, the environment accounts for applications, integrations, data, and how they will be maintained.
A process automation and document workflow platform that we deploy in the Astrafox cloud, the company's infrastructure, or the client's cloud.
See AMODIT →The environment, integrations, roles, and activity logging required for a controlled deployment of AI solutions.
See AI for business →Data platforms, analytics, and AI solutions that use cloud resources and agreed data sources.
See Data & BI →Applications, APIs, and connections between the cloud and systems already operating in the organization.
See Software & Integrations →We also deploy Astrafox products in the Astrafox cloud, the company's infrastructure, or the client's cloud: AMODIT, KSeF Connector for KSeF (Poland's National e-Invoicing System), and DataFlow.
We use the same approach for migrations, new environment builds, and taking over administration from another provider.
We establish the resources, dependencies, requirements, and objective of the change.
We define the platform, access, policies, and division of responsibilities.
We configure the environment, migrate the resources in scope, and verify operation.
We monitor, respond to outages, administer, and develop the environment.
Sample implementation
The same application can run on one server, in a redundant configuration, or in a private high-availability solution. Each option has a different recovery point objective (RPO), recovery time objective (RTO), availability level, and cost. We present the options to the client before the decision.
Pricing starts with the environment, operational accountability, and the organization's requirements.
The number of accounts, subscriptions, servers, services, applications, and dependencies.
Resource types, data, integrations, and the transition method for the new environment.
Policies, access, firewalls, configuration reviews, and the scope of penetration testing.
Monitored layers, outage response scope, and administrative accountability.
Protected resources, backup storage method, and disaster recovery scope.
The selected platform, cloud services, and licensing model.
Describe what operates today, what you want to migrate or build, and which elements Astrafox should own.
We specialize in Microsoft Azure, Google Cloud Platform, including Vertex AI, and AWS. On each platform, we design, migrate, and maintain production environments.
Yes. Our offering covers migrations of entire environments to the cloud and the construction of new environments.
24/7 maintenance includes monitoring, outage response, and complete administration of the cloud environment.
We review the configuration, deploy fixes, configure firewalls and the web application firewall, and conduct penetration tests.
We analyze the bill, identify the services generating costs, align resources with measured usage, and assign accountability for subsequent changes.
Yes. We configure automated backups, including geo-replicated backups, and regularly test restoration of the environment from backup.
AMODIT, KSeF Connector, and DataFlow run in the Astrafox cloud, the company's infrastructure, or the client's cloud.
Yes. We sell cloud licenses and subscriptions and ensure that they match measured usage.
Yes. We deploy AI models on Azure, Google Cloud (Vertex AI), and AWS in European Union regions. We have 100% control over where data is processed, and the models are not trained on client data. This ensures compliance with the GDPR and the EU AI Act.
One SLA covers the cloud environment, the application running in it, and its integrations. The infrastructure, software, and data teams work together, while the client has one agreement and one point of accountability for the entrusted scope.
Migration, a new environment, maintenance, security, costs, or disaster recovery? Let's start with scope and accountability.
Describe your challenge