Compare OVH Load Balancer vs. VMware Avi Load Balancer in 2025

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Description

Our Cloud products are designed to scale seamlessly, accommodating growth without limitations across all our data centers. The OVH Load Balancer effectively manages the distribution of workloads among different services throughout our facilities, ensuring your infrastructure can handle heavy traffic while maintaining optimized fault tolerance and quick response times. We strive for an exceptional service level that targets zero downtime. You can easily configure and oversee your infrastructures comprehensively through our user-friendly control panel. Additionally, our Load Balancer solutions now come with free Let's Encrypt DV SSL certificates, which automatically enable the HTTPS protocol. Thanks to the Anycast DNS system, your website will load from the nearest server to your users, significantly enhancing load times. You can also utilize metrics to keep track of your Load Balancer's load and the outgoing requests sent to your servers, allowing you to leverage this data to further enhance your system's performance. This comprehensive approach ensures that your infrastructure remains robust and responsive to user demands at all times.

Description

Streamline the process of application delivery by utilizing software-defined load balancers, web application firewalls, and container ingress services that can be deployed across any application in various data centers and cloud environments. Enhance management efficiency through unified policies and consistent operations across on-premises data centers as well as hybrid and public cloud platforms, which include VMware Cloud (such as VMC on AWS, OCVS, AVS, and GCVE), AWS, Azure, Google Cloud, and Oracle Cloud. Empower infrastructure teams by alleviating them from manual tasks and provide DevOps teams with self-service capabilities. The automation toolkits for application delivery encompass a variety of resources, including Python SDK, RESTful APIs, and integrations with Ansible and Terraform. Additionally, achieve unparalleled insights into network performance, user experience, and security through real-time application performance monitoring, closed-loop analytics, and advanced machine learning techniques that continuously enhance system efficiency. This holistic approach not only improves performance but also fosters a culture of agility and responsiveness within the organization.