Best IT Management Software for HPE Ezmeral

Compare the Top IT Management Software that integrates with HPE Ezmeral as of September 2024

This a list of IT Management software that integrates with HPE Ezmeral. Use the filters on the left to add additional filters for products that have integrations with HPE Ezmeral. View the products that work with HPE Ezmeral in the table below.

What is IT Management Software for HPE Ezmeral?

IT management software is software used to help organizations and IT teams improve operational efficiency. It can be used for tasks such as tracking assets, monitoring networks and equipment, managing workflows, and resolving technical issues. It helps streamline processes to ensure businesses are running smoothly. IT management software can also provide accurate reporting and analytics that enable better decision-making. Compare and read user reviews of the best IT Management software for HPE Ezmeral currently available using the table below. This list is updated regularly.

  • 1
    Runecast

    Runecast

    Runecast Solutions

    Runecast is an enterprise CNAPP platform that saves your Security and Operations teams time and resources by enabling a proactive approach to ITOM, CSPM, and compliance. It automates vulnerability assessment, configuration drift management and continuous compliance – for VMware, Cloud and Containers. By proactively using our agentless scanning in real-time admins discover potential risks and remediation solutions before any issues can develop into a major outage. It provides continuous audits against vendor best practices, common security standards, and frameworks such as BSI IT-Grundschutz, CIS, Cyber Essentials, DISA STIG, DORA, Essential 8, GDPR, HIPAA, ISO 27001, KVKK, NIST, PCI DSS, TISAX, VMware Security Hardening Guidelines, and the CISA KEVs catalog. Detect and assess risks and be fully compliant across your hybrid cloud in minutes. Runecast has been recognized with Frost & Sullivan's 2023 European New Product Innovation Award in the CNAPP industry.
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    TensorFlow

    TensorFlow

    TensorFlow

    An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.
    Starting Price: Free
  • 3
    Kubernetes

    Kubernetes

    Kubernetes

    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.
    Starting Price: Free
  • 4
    GitLab

    GitLab

    GitLab

    GitLab is a complete DevOps platform. With GitLab, you get a complete CI/CD toolchain out-of-the-box. One interface. One conversation. One permission model. GitLab is a complete DevOps platform, delivered as a single application, fundamentally changing the way Development, Security, and Ops teams collaborate. GitLab helps teams accelerate software delivery from weeks to minutes, reduce development costs, and reduce the risk of application vulnerabilities while increasing developer productivity. Source code management enables coordination, sharing and collaboration across the entire software development team. Track and merge branches, audit changes and enable concurrent work, to accelerate software delivery. Review code, discuss changes, share knowledge, and identify defects in code among distributed teams via asynchronous review and commenting. Automate, track and report code reviews.
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    Starting Price: $29 per user per month
  • 5
    Veeam Agent for Windows
    Veeam Agent for Microsoft Windows FREE is built on the same technology used in #1 Veeam Backup & Replication software. This FREE standalone agent delivers Windows backup and recovery for physical desktops and laptops running on-premises, in home offices or in the hands of mobile users — as well as for Windows computers running in the public cloud. Get image-based backups for your entire PC, volume-level backup, individual file-level backup or folder-level backup that’s built on proven Veeam technologies. With options for bare-metal restores, Instant VM Recovery®, direct restore to Microsoft Azure and AWS and file-level restores, users have many options for recovering their data. Enjoy the peace of mind that comes with reduced downtime, reduced risk of data loss and confidence in meeting or exceeding recovery point objectives (RPOs) every time.
    Starting Price: Free
  • 6
    Scality

    Scality

    Scality

    Scality provides file and object storage for enterprise data management deployments of all sizes. We adapt to your environment. Traditional on-prem storage? No problem. Storage for modern cloud-native applications? We’ve got you covered. Whether it’s critical healthcare or financial data, government intelligence, digitized national treasures, streaming video content or any other valued asset — Scality has a proven track record of ensuring eleven 9s data durability and long-term protection.
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    Unravel

    Unravel

    Unravel Data

    Unravel makes data work anywhere: on Azure, AWS, GCP or in your own data center– Optimizing performance, automating troubleshooting and keeping costs in check. Unravel helps you monitor, manage, and improve your data pipelines in the cloud and on-premises – to drive more reliable performance in the applications that power your business. Get a unified view of your entire data stack. Unravel collects performance data from every platform, system, and application on any cloud then uses agentless technologies and machine learning to model your data pipelines from end to end. Explore, correlate, and analyze everything in your modern data and cloud environment. Unravel’s data model reveals dependencies, issues, and opportunities, how apps and resources are being used, what’s working and what’s not. Don’t just monitor performance – quickly troubleshoot and rapidly remediate issues. Leverage AI-powered recommendations to automate performance improvements, lower costs, and prepare.
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    MinIO

    MinIO

    MinIO

    MinIO's high-performance object storage suite is software defined and enables customers to build cloud-native data infrastructure for machine learning, analytics and application data workloads. MinIO object storage is fundamentally different. Designed for performance and the S3 API, it is 100% open-source. MinIO is ideal for large, private cloud environments with stringent security requirements and delivers mission-critical availability across a diverse range of workloads. MinIO is the world's fastest object storage server. With READ/WRITE speeds of 183 GB/s and 171 GB/s on standard hardware, object storage can operate as the primary storage tier for a diverse set of workloads ranging from Spark, Presto, TensorFlow, H2O.ai as well as a replacement for Hadoop HDFS. MinIO leverages the hard won knowledge of the web scalers to bring a simple scaling model to object storage. At MinIO, scaling starts with a single cluster which can be federated with other MinIO clusters.
  • 9
    Run:AI

    Run:AI

    Run:AI

    Virtualization Software for AI Infrastructure. Gain visibility and control over AI workloads to increase GPU utilization. Run:AI has built the world’s first virtualization layer for deep learning training models. By abstracting workloads from underlying infrastructure, Run:AI creates a shared pool of resources that can be dynamically provisioned, enabling full utilization of expensive GPU resources. Gain control over the allocation of expensive GPU resources. Run:AI’s scheduling mechanism enables IT to control, prioritize and align data science computing needs with business goals. Using Run:AI’s advanced monitoring tools, queueing mechanisms, and automatic preemption of jobs based on priorities, IT gains full control over GPU utilization. By creating a flexible ‘virtual pool’ of compute resources, IT leaders can visualize their full infrastructure capacity and utilization across sites, whether on premises or in the cloud.
  • 10
    Dremio

    Dremio

    Dremio

    Dremio delivers lightning-fast queries and a self-service semantic layer directly on your data lake storage. No moving data to proprietary data warehouses, no cubes, no aggregation tables or extracts. Just flexibility and control for data architects, and self-service for data consumers. Dremio technologies like Data Reflections, Columnar Cloud Cache (C3) and Predictive Pipelining work alongside Apache Arrow to make queries on your data lake storage very, very fast. An abstraction layer enables IT to apply security and business meaning, while enabling analysts and data scientists to explore data and derive new virtual datasets. Dremio’s semantic layer is an integrated, searchable catalog that indexes all of your metadata, so business users can easily make sense of your data. Virtual datasets and spaces make up the semantic layer, and are all indexed and searchable.
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