Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size.
Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge.
Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.
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Kasm Workspaces streams your workplace environment directly to your web browser…on any device and from any location.
Kasm is revolutionizing the way businesses deliver digital workspaces. We use our open-source web native container streaming technology to create a modern devops delivery of Desktop as a Service, application streaming, and browser isolation.
Kasm is more than a service. It is a platform that is highly configurable and has a robust API that can be customized to your needs at any scale. Workspaces can be deployed wherever the work is. It can be deployed on-premise (including Air-Gapped Networks), in the cloud (Public and Private), or in a hybrid.
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SkkyHub
In many IoT solutions, the cloud serves merely as a final destination for data. However, with SkkyHub™, the cloud transforms into a dynamic conduit that facilitates real-time data streaming from any location to any desired endpoint. This innovative platform allows for seamless connections between operational technology (OT) and information technology (IT), enables machine-to-machine (M2M) communication, and establishes links among remote sites, all while maintaining minimal network latency measured in microseconds. Whether you need to monitor data from your devices or plants or send commands, updates, and configurations back to your system—SkkyHub™ supports both functionalities effortlessly. The DataHub gateway and endpoints equipped with ETK utilize the DHTP protocol to maintain a data-only connection, ensuring that no VPNs are necessary and keeping your OT and IT networks intact. By utilizing outbound DHTP connections, all inbound firewall ports remain secure and closed, eliminating any potential attack surfaces in your facility, devices, or office. With the ability to stream up to 100,000 data points in real time, you can gain a comprehensive overview of your operations. Additionally, with three distinct service levels—Basic, Standard, and Professional—you can select a service option that best suits your requirements and budget, enhancing the flexibility and scalability of your IoT solutions. This approach empowers organizations to harness the full potential of their data while ensuring robust security and operational efficiency.
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Apache Storm
Apache Storm is a distributed computation system that is both free and open source, designed for real-time data processing. It simplifies the reliable handling of endless data streams, similar to how Hadoop revolutionized batch processing. The platform is user-friendly, compatible with various programming languages, and offers an enjoyable experience for developers. With numerous applications including real-time analytics, online machine learning, continuous computation, distributed RPC, and ETL, Apache Storm proves its versatility. It's remarkably fast, with benchmarks showing it can process over a million tuples per second on a single node. Additionally, it is scalable and fault-tolerant, ensuring that data processing is both reliable and efficient. Setting up and managing Apache Storm is straightforward, and it seamlessly integrates with existing queueing and database technologies. Users can design Apache Storm topologies to consume and process data streams in complex manners, allowing for flexible repartitioning between different stages of computation. For further insights, be sure to explore the detailed tutorial available.
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