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Public Cloud

The public cloud is defined as computing services offered by third-party providers over the public Internet. Resources vary by provider but may include storage capabilities, applications or virtual machines.
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The main benefits of using a public cloud service are: Easy and inexpensive set-up because hardware, application and bandwidth costs are covered by the provider. Scalability to meet needs. No wasted resources because you pay for what you use. The term "public cloud" arose to differentiate between the standard model and the private cloud, which is a proprietary network or data center that uses cloud computing technologies, such as virtualization. A private cloud is managed by the organization it serves. A third model, the hybrid cloud, is maintained by both internal and external providers. Examples of public clouds include Amazon Elastic Compute Cloud (EC2), IBM's Blue Cloud, Sun Cloud, Google AppEngine and Windows Azure Services Platform.
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SYNTAX
SYNTAX
Syntax has been providing comprehensive technology solutions to businesses of all sizes throughout North America. Syntax delivers the best combination of software, infrastructure, and cloud solutions to meet the needs of its diverse range of customers. Syntax partners include Oracle, IBM and other world-class technology leaders. Founded in 1972.
Rancher Labs
Rancher Labs
Rancher is a complete software stack for teams adopting Containers. It addresses the operational and security challenges of managing multiple Kubernetes clusters across any infrastructure, while providing DevOps teams with integrated tools for running containerized workloads.Most developers don’t care about IT infrastructure. They just want to write code and build their apps securely using their preferred workflow. Rancher makes it simple to deliver Kubernetes-as-a-Service to development teams with push button deployment of their containerized workloads On-Premises, in the cloud, in hybrid deployments or at the edge. Meanwhile, operators can maintain full administrative control and observability.
Connectedthinks
Connectedthinks
Industrial data platformThe ConnectedThinks Industrial data platform is capable of connecting to multiple industrial data sources, correlating and transforming the data into useful insights, and helping improve the efficiency of your industrial business.Edge ConnectorsThe edge-connectors suite is a middleware deployable on ARM or X86-based Industrial edge IoT gateways. It enables quick connection and rapid onboarding of various assets such as machinery, sensors, asset trackers, Bluetooth beacons, and IP Video streams as well as OT assets such as PLC, SCADA, CNC, and HMI – to name a few. It offers secure device management and remote connection. Data PlatformThe ConnectedThinks data platform is a modern technology stack, built-to-scale to ingest and process high-speed, high-density, and real-time industrial data. Its functionality could be split into 3 primary parts – the data-ingest, the data-transform-&-store, and the data-query part.The data-ingest part consists of a high-performant MQTT broker and a highly-scalable, multi-cluster Kafka messaging queue which together can ingest and process data at a very high speed.The data-transform-&-storage part is built on top of Kafka KSQLdb and Apache Spark with real-time data transformation and the ability to integrate real-time machine-learning predictions for Anomaly Detection and other Predictive Maintenance tasks. The platform offers out-of-the-box connectors to store data on almost any database, data warehouse, or even into S3-storage compatible Data Lakes with efficient storage formats like PARQUET and AVRO.The data-query part consists of multiple custom-built connectors to various SQL and pseudo-SQL databases and storages along with highly-scalable PRESTO (a.k.a prestodb)Together it forms a complete Industry 4.0 offering for data intelligence and integration. The entire offering is built with Microservices and dockerized to make it suitable for deployment on-prem, private-cloud, or Public Cloud like AWS, Azure, or Google. Data visualization & BIConnectedThinks platform offers a custom-built visualization engine, built from the ground up to serve the specific requirements of industrial operations which demand a combination of real-time diagnostic monitoring for high-speed data, a SCADA-like monitoring system with visual aids and historical data analytics with data ranging from a few weeks to couple years. It is built on top of front-end REACT-js libraries along with Authentication and fine-grain access Authorization to deliver a secure web portal that is accessible from any corner of the world. The platform is also pre-integrated with Apache Superset and offers embedded dashboards as well as quick drag-and-drop data exploration. The prestodb query engine ODBC connectors enable you to import and explore data from your existing BI solutions such as Tableau, Looker, PowerBI, etc,
Canonical
Canonical
We deliver Open Source to the world faster, more securely and more cost effectively than any other company. We develop Ubuntu, the world’s most popular enterprise Linux from cloud to edge, together with a passionate global community of 200,000 contributors. Ubuntu means 'humanity to others'​. We chose it because it embodies the generosity at the heart of Open Source, the new normal for platforms and innovation. Together with a community of 200,000, we publish an operating system that runs from the tiny connected devices up to the world's biggest mainframes, the platform that everybody uses on the Public Cloud, and the workstation experience of the world's most productive developers. Secure and reliable, elegant and intuitive, and open for innovation - Ubuntu is the future of Open Source, which is why its the fastest growing Linux in the world despite already being the most widely deployed.
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