Azore is software for computational fluid dynamics. It analyzes fluid flow and heat transfers. CFD allows engineers and scientists to analyze a wide range of fluid mechanics problems, thermal and chemical problems numerically using a computer. Azore can simulate a wide range of fluid dynamics situations, including air, liquids, gases, and particulate-laden flow. Azore is commonly used to model the flow of liquids through a piping or evaluate water velocity profiles around submerged items. Azore can also analyze the flow of gases or air, such as simulating ambient air velocity profiles as they pass around buildings, or investigating the flow, heat transfer, and mechanical equipment inside a room. Azore CFD is able to simulate virtually any incompressible fluid flow model. This includes problems involving conjugate heat transfer, species transport, and steady-state or transient fluid flows.
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UTunnel Secure Access delivers Cloud VPN, ZTNA, and Mesh Networking solutions to ensure secure remote access and smooth network connectivity.
ACCESS GATEWAY: Our Cloud VPN as a Service enables quick deployment of Cloud or On-Premise VPN servers. Utilizing OpenVPN and IPSec protocols, it facilitates secure remote connections with policy-based access control, allowing you to easily establish a VPN network for your business.
ONE-CLICK ACCESS: The Zero Trust Application Access (ZTAA) solution transforms secure access to internal business applications such as HTTP, HTTPS, SSH, and RDP. Users can access these applications through web browsers without needing client software.
MESHCONNECT: This Zero Trust Network Access (ZTNA) and mesh networking solution provides granular access controls to specific business network resources and supports the creation of secure interconnected business networks.
SITE-TO-SITE VPN: The Access Gateway solution also allows for the setup of secure IPSec Site-to-Site tunnels. These tunnels can connect UTunnel's VPN servers with other network gateways, firewalls, routers, and unified threat management (UTM) systems.
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Ambient Mesh
Ambient Mesh is a modern service mesh architecture designed to eliminate the complexity of traditional sidecar-based approaches. It secures, observes, and connects cloud-native workloads with minimal intrusion and resource consumption. Ambient Mesh delivers zero-trust security using workload identity, encryption, and automated certificate management. Teams gain deep visibility into traffic flows through distributed tracing, logs, and performance metrics. Advanced traffic control features support safe deployments, intelligent routing, and seamless failover. The platform improves resilience with circuit breaking, zone-aware load balancing, and retry policies. Ambient Mesh enables organizations to migrate existing sidecar workloads with zero downtime. A free migration tool provides automated analysis and step-by-step guidance. This approach reduces operational risk while maintaining compliance and control. Ambient Mesh simplifies service mesh adoption while lowering infrastructure costs.
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Anthos Service Mesh
Creating applications using microservices architecture brings a variety of advantages. Yet, as these workloads expand, they can become increasingly complex and disjointed. Anthos Service Mesh, which is Google's version of the robust open-source Istio project, enables effective management, observation, and security of services without necessitating modifications to your application code. By streamlining service delivery—from overseeing mesh telemetry and traffic to safeguarding inter-service communications—Anthos Service Mesh significantly alleviates the demands placed on development and operations teams. As Google’s fully managed service mesh, it allows for effortless management of intricate environments while enjoying the myriad benefits they provide. With Anthos Service Mesh being a fully managed solution, it removes the uncertainties and challenges associated with acquiring and administering a service mesh. This means you can concentrate on developing exceptional applications while we handle the complexities of the mesh, ensuring a smoother workflow and improved efficiency.
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