
Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.
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MindCloud is an enterprise-ready integration platform for connecting applications, automating workflows, and moving data reliably across business systems. Teams can build integrations using APIs, webhooks, EDI, FTP-based file transfers, scheduled processes, and automated imports and exports.
Use MindCloud to synchronize data in real time, transform records between different data models, eliminate duplicate entry, and orchestrate workflows across CRM, ERP, ecommerce, accounting, marketing, and operational systems.
MindCloud combines a powerful low-code platform with an experienced integration delivery team. Organizations can build and manage their own workflows or work with MindCloud’s solutions engineers to scope, build, launch, and support production integrations—without diverting internal engineering resources.
Connect to more than 3,000 applications, including Salesforce, HubSpot, NetSuite, QuickBooks Online, QuickBooks Desktop, BigCommerce, Shopify, monday.com, ServiceTitan, Acumatica, Walmart, Amazon, eBay, Airtable, Google Sheets, and many more.
Connect to anything. Automate everything.
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Amazon EventBridge
Amazon EventBridge serves as a serverless event bus that simplifies the integration of applications by utilizing data from your own systems, various Software-as-a-Service (SaaS) offerings, and AWS services. It provides a continuous flow of real-time data from event sources like Zendesk, Datadog, and PagerDuty, efficiently directing that information to targets such as AWS Lambda. By establishing routing rules, you can dictate the destination of your data, enabling the creation of application architectures that respond instantaneously to all incoming data sources. EventBridge facilitates the development of event-driven applications by managing essential aspects like event ingestion, delivery, security, authorization, and error handling on your behalf. As your applications grow increasingly interconnected through events, you may find that greater effort is required to discover and comprehend the structure of these events in order to effectively code responses to them. This can enhance the overall efficiency and responsiveness of your application ecosystem.
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WindESCo
WindESCo delivers innovative solutions aimed at improving the efficiency and dependability of wind turbines through two core products: Pulse and Swarm. Pulse harnesses artificial intelligence and machine learning to provide in-depth performance analytics and monitor the health of assets over twelve turbine subsystems. By consolidating various data streams—such as SCADA, events, maintenance history, vibration analysis, and meteorological information—into a cohesive data fabric, it empowers users to pinpoint actionable insights that influence turbine efficiency. Additionally, Pulse includes case management capabilities that facilitate operational and maintenance workflows, track the progress of resolutions, and keep all essential information centralized. On the other hand, Swarm employs a collective autonomous control system, allowing turbines to communicate and learn from one another, which significantly enhances the output of wind farms. Together, these technologies represent a significant advancement in the management and optimization of wind energy resources.
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