VMware Tanzu CloudHealth Integrations

Google Cloud is a cloud-based service that allows you to create anything from simple websites to complex applications for businesses of all sizes. New customers get $300 in free credits to run, test, and deploy workloads. All customers can use 25+ products for free, up to monthly usage limits. Use Google's core infrastructure, data analytics & machine learning. Secure and fully featured for all enterprises. Tap into big data to find answers faster and build better products. Grow from prototype to production to planet-scale, without having to think about capacity, reliability or performance. From virtual machines with proven price/performance advantages to a fully managed app development platform. Scalable, resilient, high performance object storage and databases for your applications. State-of-the-art software-defined networking products on Google’s private fiber network. Fully managed data warehousing, batch and stream processing, data exploration, Hadoop/Spark, and messaging.

Amazon Web Services (AWS) is the world’s most comprehensive cloud platform, trusted by millions of customers across industries. From startups to global enterprises and government agencies, AWS provides on-demand solutions for compute, storage, networking, AI, analytics, and more. The platform empowers organizations to innovate faster, reduce costs, and scale globally with unmatched flexibility and reliability. With services like Amazon EC2 for compute, Amazon S3 for storage, SageMaker for AI/ML, and CloudFront for content delivery, AWS covers nearly every business and technical need. Its global infrastructure spans 120 availability zones across 38 regions, ensuring resilience, compliance, and security. Backed by the largest community of customers, partners, and developers, AWS continues to lead the cloud industry in innovation and operational expertise.

Microsoft's Azure is a cloud computing platform that allows for rapid and secure application development, testing and management. Azure. Invent with purpose. Turn ideas into solutions with more than 100 services to build, deploy, and manage applications—in the cloud, on-premises, and at the edge—using the tools and frameworks of your choice. Continuous innovation from Microsoft supports your development today, and your product visions for tomorrow. With a commitment to open source, and support for all languages and frameworks, build how you want, and deploy where you want to. On-premises, in the cloud, and at the edge—we’ll meet you where you are. Integrate and manage your environments with services designed for hybrid cloud. Get security from the ground up, backed by a team of experts, and proactive compliance trusted by enterprises, governments, and startups. The cloud you can trust, with the numbers to prove it.

OpenOps is a no-code, open-source cloud automation platform built to simplify FinOps, governance, and remediation across multi-cloud environments. It allows organizations to automate cloud cost management without choosing between rigid off-the-shelf tools or complex custom-built solutions. OpenOps provides pre-packaged, best-practice workflows that can be customized or extended using a no-code builder. Teams can design automations with conditional logic, approvals, scheduling, and thresholds while keeping humans in the loop. The platform integrates deeply with cloud providers, cost visibility tools, DevOps platforms, and communication systems. OpenOps helps organizations avoid vendor lock-in by supporting multi-cloud strategies and existing tooling. Security, transparency, and granular control are central to its design.

Oracle Big Data Discovery is a stunningly visual, intuitive product that leverages the power of Hadoop to transform raw data into business insight in minutes, without the need to learn complex tools or rely only on highly specialized resources. With Oracle Big Data Discovery, customers can easily find relevant data sets in Hadoop, explore the data and quickly understand its potential, transform and enrich data to make it better, analyze the data to discover new insights, share results and publish back to Hadoop for use across the enterprise. In your organization, use BDD as the center of your data lab, as a unified environment for navigating and exploring all of your data sources in Hadoop, and to create projects and BDD applications. In BDD, a wider number of people can work with big data, compared with traditional analytics tools. You spend less time on data loading and updates, and can focus on actual data analysis of big data.