Best Cloud Infrastructure Automation Software for VMware Cloud

ActiveBatch by Redwood is a centralized workload automation platform, that seamlessly connects and automates processes across critical systems like Informatica, SAP, Oracle, Microsoft and more. Use ActiveBatch's low-code Super REST API adapter, intuitive drag-and-drop workflow designer, over 100 pre-built job steps and connectors, available for on-premises, cloud or hybrid environments. Effortlessly manage your processes and maintain visibility with real-time monitoring and customizable alerts via emails or SMS to ensure SLAs are achieved. Experience unparalleled scalability with Managed Smart Queues, optimizing resources for high-volume workloads and reducing end-to-end process times. ActiveBatch holds ISO 27001 and SOC 2, Type II certifications, encrypted connections, and undergoes regular third-party tests. Benefit from continuous updates and unwavering support from our dedicated Customer Success team, providing 24x7 assistance and on-demand training to ensure your success.

Pliant offers a robust solution for IT Process Automation that simplifies, enhances, and secures the way teams create and implement automation. By minimizing human errors, ensuring compliance, and boosting overall efficiency, Pliant serves as an invaluable resource. Users can easily incorporate existing automation or develop new workflows through a unified orchestration interface. The platform provides reliable governance that maintains compliance through practical, built-in features. By abstracting thousands of vendor APIs, Pliant creates intelligent action blocks that empower users to simply drag and drop, eliminating the need for repetitive coding. Citizen developers can seamlessly construct effective and uniform automation across various platforms, services, and applications within minutes, thereby maximizing the value of their entire technology ecosystem from a single interface. Furthermore, with the capability to integrate new APIs in just 15 business days, Pliant ensures that any non-standard requirements will be addressed in a leading timeframe, keeping your automation capabilities up to date. This efficiency allows teams to remain agile and responsive in a rapidly changing technological landscape.

The F5 Distributed Cloud Platform offers enhanced features, robust security measures, and streamlined operations superior to those provided by native cloud services. This platform is specifically designed to cater to distributed applications operating in multi-cloud, on-premises, and edge settings. As software applications transition into microservices and increasingly rely on APIs, the emergence of complex and highly distributed architectures brings about challenges, escalated costs, and heightened risks. To effectively deliver applications, it is necessary to deploy and manage various appliances, software, and connectivity services. Conventional CDNs and hub-and-spoke networks fall short when it comes to supporting immersive or large-scale SaaS applications. With differing APIs, policies, and levels of observability, there is a pressing need for significant investments in automation. Applications that are distributed across various environments often face unequal protection levels. Furthermore, achieving alignment among DevOps, NetOps, and SecOps during service provisioning and security poses significant challenges, particularly when relying on ticket-based workflows, which can hinder efficiency and responsiveness. Addressing these complexities is crucial for optimizing the management of distributed applications.

Establish a robust and scalable cloud infrastructure that enables you to exert control and maintain clear organizational structures within your cloud ecosystem. Achieve this by creating distinct organizations, outlining the relationships between users, tenants, and projects, while effectively managing quotas and services. Utilize cloud and virtualization platforms such as Red Hat Enterprise Virtualization, Amazon, and Microsoft Azure for system provisioning, set retirement dates for resources, and scale your environment according to your specific needs. By taking your current operational environment and running various what-if scenarios, you can proactively plan resources and gain ongoing insights into consumption patterns, facilitating detailed chargeback, quotas, and policy development. Enhance your understanding of performance, capacity, and workloads by utilizing SmartState's historical and trend analytics, which provide valuable insights into different facets of your cloud infrastructure. Establish the policy framework for your environment and implement automatic alerts and responses to adapt to changes in your cloud landscape, ensuring continuous optimization and agility. This comprehensive approach not only improves resource management but also fosters a proactive culture of monitoring and adaptability within your organization.

Cloud images serve as operating system templates, with each instance initially being a perfect replica of the others. The unique attributes of each cloud instance are defined by user data, and cloud-init is the automated tool that applies this data to your instances. This includes various datasource and module references, along with numerous examples for easier implementation. Although cloud-init originated in Ubuntu, it has since been adapted for most major Linux distributions and FreeBSD. For providers of cloud images, cloud-init simplifies the variations among different cloud vendors automatically, ensuring that the official Ubuntu cloud images maintain consistency across all public and private cloud platforms. This uniformity allows users to deploy their applications without worrying about the underlying infrastructure differences.

Enhanced operators for enterprise applications feature a comprehensive application graph and declarative integration that caters to both Kubernetes environments and legacy systems. Through Juju operator integration, we can simplify each operator, enabling their composition to form intricate application graph topologies that handle complex scenarios while providing a user-friendly experience with significantly reduced YAML requirements. The UNIX principle of ‘doing one thing well’ is equally applicable in the realm of large-scale operational code, yielding similar advantages in clarity and reusability. The charm of small-scale design is evident here: Juju empowers organizations to implement the operator pattern across their entire infrastructure, including older applications. Model-driven operations lead to substantial savings in maintenance and operational expenses for traditional workloads, all without necessitating a shift to Kubernetes. Once integrated with Juju, legacy applications also gain the ability to operate across multiple cloud environments. Furthermore, the Juju Operator Lifecycle Manager (OLM) uniquely accommodates both containerized and machine-based applications, ensuring smooth interoperability between the two. This innovative approach allows for a more cohesive and efficient management of diverse application ecosystems.