NVMesh Integrations

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Kubernetes (K8s) is an open-source system for automating deployment, scaling, and management of containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Kubernetes builds upon 15 years of experience of running production workloads at Google, combined with best-of-breed ideas and practices from the community. Designed on the same principles that allows Google to run billions of containers a week, Kubernetes can scale without increasing your ops team. Whether testing locally or running a global enterprise, Kubernetes flexibility grows with you to deliver your applications consistently and easily no matter how complex your need is. Kubernetes is open source giving you the freedom to take advantage of on-premises, hybrid, or public cloud infrastructure, letting you effortlessly move workloads to where it matters to you.

The open-source observability platform everyone needs! Netdata collects metrics per second and presents them in beautiful low-latency dashboards. It is designed to run on all of your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers, and applications. It scales nicely from just a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments, and given enough disk space it can keep your metrics for years. KEY FEATURES: 💥 Collects metrics from 800+ integrations 💪 Real-Time, Low-Latency, High-Resolution 😶‍🌫️ Unsupervised Anomaly Detection 🔥 Powerful Visualization 🔔 Out of box Alerts 📖 systemd Journal Logs Explorer 😎 Low Maintenance ⭐ Open and Extensible Try Netdata today and feel the pulse of your infrastructure, with high-resolution metrics, journal logs and real-time visualizations.

MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era. No database is more productive to use. Ship and iterate 3–5x faster with our flexible document data model and a unified query interface for any use case. Whether it’s your first customer or 20 million users around the world, meet your performance SLAs in any environment. Easily ensure high availability, protect data integrity, and meet the security and compliance standards for your mission-critical workloads. An integrated suite of cloud database services that allow you to address a wide variety of use cases, from transactional to analytical, from search to data visualizations. Launch secure mobile apps with native, edge-to-cloud sync and automatic conflict resolution. Run MongoDB anywhere, from your laptop to your data center.

MySQL is the world's most popular open source database. With its proven performance, reliability, and ease-of-use, MySQL has become the leading database choice for web-based applications, used by high profile web properties including Facebook, Twitter, YouTube, and all five of the top five websites*. Additionally, it is an extremely popular choice as embedded database, distributed by thousands of ISVs and OEMs.

If you have a business, accept Samsung Pay. It works on most of the terminals you already use, accept payments easily and conveniently. Up the screen of your Smartphone and select a card. Place your fingerprint on the Smartphone reader. Bring your Smartphone 1 cm from the terminal to make the payment. Las transacciones son validadas con tu huella digital, PIN o escáner de iris para asegurar que sólo tú puedas confirmar el pago. Samsung Pay uses secure data transmission technology. In each transaction carried out, the system creates a security token that guarantees that the information cannot be used again. Constantly monitor your Smartphone and protect you with its high security platform against any cyber attack. Samsung Pay is accepted practically everywhere that accept bank cards. It works in more places than any other mobile payment service. Know some establishments where you can use it.

Redis Labs: home of Redis. Redis Enterprise is the best version of Redis. Go beyond cache; try Redis Enterprise free in the cloud using NoSQL & data caching with the world’s fastest in-memory database. Run Redis at scale, enterprise grade resiliency, massive scalability, ease of management, and operational simplicity. DevOps love Redis in the Cloud. Developers can access enhanced data structures, a variety of modules, and rapid innovation with faster time to market. CIOs love the confidence of working with 99.999% uptime best in class security and expert support from the creators of Redis. Implement relational databases, active-active, geo-distribution, built in conflict distribution for simple and complex data types, & reads/writes in multiple geo regions to the same data set. Redis Enterprise offers flexible deployment options, cloud on-prem, & hybrid. Redis Labs: home of Redis. Redis JSON, Redis Java, Python Redis, Redis on Kubernetes & Redis gui best practices.

Turn data into answers with Splunk deployed and managed securely, reliably and scalably as a service. With your IT backend managed by our Splunk experts, you can focus on acting on your data. Splunk-provisioned and managed infrastructure delivers a turnkey, cloud-based data analytics solution. Go live in as little as two days. Managed software upgrades ensure you always have the latest functionality. Tap into the value of your data in days with fewer requirements to turn data into action. Splunk Cloud meets the FedRAMP security standards, and helps U.S. federal agencies and their partners drive confident decisions and decisive actions at mission speeds. Drive productivity and contextual insights with Splunk’s mobile apps, augmented reality and natural language capabilities. Extend the utility of your Splunk solutions to any location with a simple phrase or the tap of a finger. From infrastructure management to data compliance, Splunk Cloud is built to scale.

Integrate seamlessly with attorney and interviewer Outlook calendars for easy interview scheduling. Customize and automate emails to applicants based on their status and interview results. Provide a customizable dashboard for each recruiter to view applicants for specific positions and interview information. Parse resumes and automatically extract data from the resume into LawCruit for searches and recruiter reporting. Post jobs to your website and job boards, and integrate customizable applications with your career site and LawCruit. Integrate with Symplicity to automatically import applicant data, resumes, and related documents. Let candidates self-schedule through an Applicant Portal where you can set time slots based on position, department, school, and more. Forward applicant details, including all related documents like resumes, transcripts, cover letters, and more,

SAP HANA in-memory database is for transactional and analytical workloads with any data type — on a single data copy. It breaks down the transactional and analytical silos in organizations, for quick decision-making, on premise and in the cloud. Innovate without boundaries on a database management system, where you can develop intelligent and live solutions for quick decision-making on a single data copy. And with advanced analytics, you can support next-generation transactional processing. Build data solutions with cloud-native scalability, speed, and performance. With the SAP HANA Cloud database, you can gain trusted, business-ready information from a single solution, while enabling security, privacy, and anonymization with proven enterprise reliability. An intelligent enterprise runs on insight from data – and more than ever, this insight must be delivered in real time.

Access, organize, select and transform IoT data with this complete, AI-embedded solution. SAS Analytics for IoT covers the entire Internet of Things analytics life cycle, providing streamlined, extensible ETL, a sensor-focused data model, advanced analytics, and an industry-leading streaming execution engine to perform multi-phase analytics. SAS Analytics for IoT is built on SAS® Viya® and runs in a fast, in-memory distributed environment. Learn how to build SAS Event Stream Processing applications that ingest high-volume and high-velocity data streams, respond in real time, and store only relevant data elements. This course covers basic concepts of event stream processing, including what component objects are available to build event stream processing applications. Curiosity is our code. SAS analytics solutions transform data into intelligence, inspiring customers around the world to make bold new discoveries that drive progress.

Oracle Cloud Infrastructure supports traditional workloads and delivers modern cloud development tools. It is architected to detect and defend against modern threats, so you can innovate more. Combine low cost with high performance to lower your TCO. Oracle Cloud is a Generation 2 enterprise cloud that delivers powerful compute and networking performance and includes a comprehensive portfolio of infrastructure and platform cloud services. Built from the ground up to meet the needs of mission-critical applications, Oracle Cloud supports all legacy workloads while delivering modern cloud development tools, enabling enterprises to bring their past forward as they build their future. Our Generation 2 Cloud is the only one built to run Oracle Autonomous Database, the industry's first and only self-driving database. Oracle Cloud offers a comprehensive cloud computing portfolio, from application development and business analytics to data management, integration, security, AI & blockchain.

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. A wide variety of companies and organizations use Hadoop for both research and production. Users are encouraged to add themselves to the Hadoop PoweredBy wiki page. Apache Hadoop 3.3.4 incorporates a number of significant enhancements over the previous major release line (hadoop-3.2).

Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.

Organizations need to effectively manage large volumes of complex, business-critical workloads across multiple applications and platforms. In such complex environments, there are number of business challenges you have to address. Availability of critical business services. A single workload failure can have a significant impact on an organization’s capability to deliver services. Respond to real time business events. Today’s on-demand business world requires real-time automation to efficiently respond to business events. Improve IT efficiency. Reducing IT costs continues to be a key requirement for organizations, at the same time IT is expected to improve service delivery. AutoSys Workload Automation enhances visibility and control of complex workloads across platforms, ERP systems, and the cloud. It helps to reduce the cost and complexity of managing mission critical business processes, ensuring consistent and reliable service delivery.

StarWind HCA comes fully pre-configured and fine-tuned to your requirements by StarWind Engineers. StarWind assists with the migration to its solution at no extra cost. There are no hidden costs or licensing pitfalls: StarWind HCA comes with standardized, transparent licensing. It’s a unique StarWind practice not offered by any other HCI vendor for free. StarWind Command Center, a single-pane-of-glass management and monitoring web UI, is also included together with every StarWind HCA license. Control your hardware resources (networking, storage) and software resources (workload, VMs, backups) from a unified convenient dashboard in the form of a neat HTML5-based user interface. StarWind has picked only the highest quality components from the most trusted hardware vendors on the market. The need for a dedicated, old-fashioned, cord-jungle of a datacenter is no more. All the essentials are included in a space-savvy HCI platform that is a fire-and-forget solution.

Cloud native technology has been highlighted in modern cloud infrastructure design for its light weight and high portability. It also achieves efficient development and operation (DevOps), thereby facilitating agile service deployment and business innovation. To accelerate cloud-native transformation at minimized expenses, QCT validated the Red Hat® OpenShift Container Platform and Kubernetes Platform to ensure high-quality service and performance. QCT QxStack with Cloud-Native Platform is a Platform as a Service (PaaS) solution built on the Red Hat® OpenShift® Container Platform and strengthened by Intel Enhanced Platform Awareness (EPA) technology. The production-ready performance-optimized solution features a Hyper Converged Infrastructure (HCI) architecture that supports VMs and container coexistence and allows resource sharing. Furthermore, with exceptional network performance and stability, the solution achieves ideal CAPEX and OPEX in all stages of new technology implementation.

Software is what turns a vehicle into an intelligent machine. The NVIDIA DRIVE™ Software stack is open, empowering developers to efficiently build and deploy a variety of state-of-the-art AV applications, including perception, localization and mapping, planning and control, driver monitoring, and natural language processing. The foundation of the DRIVE Software stack, DRIVE OS is the first safe operating system for accelerated computing. It includes NvMedia for sensor input processing, NVIDIA CUDA® libraries for efficient parallel computing implementations, NVIDIA TensorRT™ for real-time AI inference, and other developer tools and modules to access hardware engines. The NVIDIA DriveWorks® SDK provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plugins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework.

Red Hat® Cloud Suite provides a container-based application development platform, built on massively scalable cloud infrastructure, all managed through a common management framework. Customers can move existing workloads to scale-out cloud infrastructure and accelerate new cloud-based services for private cloud and application development. With Red Hat Cloud Suite, the operations team can deliver public cloud-like services to developers and the business while maintaining control and visibility. Key product advantages include: Integrated components — Tightly integrated, fully supported components that act in concert to provide an open hybrid cloud. Unified management — A single management framework across infrastructure and application development layers, plus complete operation and life cycle management with proactive risk mitigation. Full-featured application development and containers — Flexible container-based application development abilities via OpenShift Enterprise