Best IT Management Software for Tungsten Fabric

Find and compare the best IT Management software for Tungsten Fabric in 2024

Use the comparison tool below to compare the top IT Management software for Tungsten Fabric on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Kubernetes Reviews
    Kubernetes (K8s), an open-source software that automates deployment, scaling and management of containerized apps, is available as an open-source project. It organizes containers that make up an app into logical units, which makes it easy to manage and discover. Kubernetes is based on 15 years of Google's experience in running production workloads. It also incorporates best-of-breed practices and ideas from the community. Kubernetes is built on the same principles that allow Google to run billions upon billions of containers per week. It can scale without increasing your operations team. Kubernetes flexibility allows you to deliver applications consistently and efficiently, no matter how complex they are, whether you're testing locally or working in a global enterprise. Kubernetes is an open-source project that allows you to use hybrid, on-premises, and public cloud infrastructures. This allows you to move workloads where they are most important.
  • 2
    Red Hat OpenShift Reviews
    Kubernetes is the platform for big ideas. The leading enterprise container platform, hybrid cloud, empowers developers to innovate faster and ship more products. Red Hat OpenShift automates installation, upgrades, lifecycle management, and lifecycle management for the entire container stack, including Kubernetes, cluster services, and applications. It can be used on any cloud. Red Hat OpenShift allows teams to build with speed, agility and confidence. You can code in production mode wherever you choose to build. Do the important work. Red Hat OpenShift focuses on security at all levels of the container stack as well as throughout the application lifecycle. It includes enterprise support from one the most prominent Kubernetes contributors as well as open source software companies.
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    Apache Mesos Reviews

    Apache Mesos

    Apache Software Foundation

    Mesos is built on the same principles as Linux, but at a higher level of abstraction. The Mesos kernel runs at every machine. It provides applications (e.g. Hadoop, Spark Kafka, Elasticsearch, Kafka) with API's that allow for resource management and scheduling across all datacenters and cloud environments. Native support for Docker and AppC images launching containers. Support for legacy and cloud native applications running in the same cluster using pluggable scheduling policies.
  • 4
    OpenStack Reviews
    OpenStack is a cloud operating platform that manages large pools of compute, storage and networking resources within a datacenter. All APIs have common authentication mechanisms and are managed and provisioned via OpenStack. The dashboard gives administrators access to their resources and empowers users to do the same through a web interface. Beyond standard infrastructure-as-a-service functionality, additional components provide orchestration, fault management and service management amongst other services to ensure high availability of user applications. OpenStack is broken down into services, allowing you to plug-and-play components according to your needs. The openstack map shows you a "at a glance” view of the openstack landscape so you can see where these services fit and how they can be combined.
  • 5
    VMware vSphere Reviews
    Get the power of enterprise workload engine. Boost workload performance and improve security for your business. vSphere provides essential services for a modern hybrid cloud. The new vSphere is rearchitected using native Kubernetes, allowing it to run both existing enterprise applications and modern containerized apps in a unified way. Transform your on-premises infrastructure by integrating cloud services. Boost productivity through central management, global insight and automation. Add-on cloud services can boost your productivity. Accelerate networking functions to meet the throughput and latencies of distributed workloads. Free up GPU resources to train AI/ML models faster and for higher complexity models.
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