
NetCrunch is commercial, self-hosted, agentless network and IT infrastructure monitoring software for Windows Server. It monitors network devices, servers, virtualization platforms, cloud services including AWS, Azure, and Google Cloud, applications, websites, logs, telemetry, and custom data using technologies such as SNMP, WMI, REST APIs, and scripts.
NetCrunch supports 680+ monitoring targets and provides 270+ ready-to-use Monitoring Packs for devices, applications, and operating systems. Policy-based monitoring automatically applies monitoring settings, Monitoring Packs, thresholds, and alerts to matching devices and systems. Licensing is based on monitored nodes and network interfaces rather than individual sensors, checks, or metrics.
Real-time dashboards and automatic Layer 2 and routing topology maps provide visibility into network status and performance. NetCrunch supports event correlation, dependency-aware alert suppression, predictive thresholds, escalation, and 40+ automated response actions, including script execution, notifications, webhooks, and integrations with external IT and collaboration tools.
NetCrunch also provides hardware and software inventory, network device configuration backup and change tracking, bandwidth monitoring, and network traffic analysis using NetFlow, sFlow, IPFIX, and other flow technologies. Distributed Monitoring Probes extend monitoring to remote and isolated locations, while REST APIs support integration and automation with external systems.
NetCrunch is self-hosted on Windows Server and can monitor on-premises, air-gapped, cloud, and hybrid IT environments.
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An All-Inclusive Solution for Efficient File Orchestration and Management Across Edge, Data Center, and Cloud Storage
PeerGFS offers a uniquely software-driven approach tailored to tackle the complexities of file management and replication in multi-site and hybrid multi-cloud setups.
With over 25 years of industry experience, we focus on file replication for organizations with distributed locations, providing numerous advantages for your operations:
Increased Availability: Attain elevated availability through Active-Active data centers, whether they are hosted on-premises or in the cloud.
Edge Data Security: Protect your essential data at the Edge with ongoing safeguards to the central Data Center.
Boosted Productivity: Facilitate distributed project teams by granting them rapid, local access to essential file resources.
In the current landscape, maintaining a real-time data infrastructure is crucial for success.
PeerGFS effortlessly meshes with your current storage solutions, accommodating:
High-volume data replication across linked data centers.
Wide area networks that often experience lower bandwidth and increased latency.
You can take comfort in knowing that PeerGFS is built for ease of use, ensuring that both installation and management are straightforward tasks.
Moreover, our commitment to customer support means you’ll always have assistance when needed.
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GIGABYTE High Density Server
Multi-node servers with high density facilitate computing, storage, and networking capabilities while lowering the total cost of ownership (TCO) and enhancing efficiency. This architectural design accommodates a range of applications such as High-Performance Computing (HPC), Hyper-Converged Infrastructure (HCI), edge computing, and effective file storage solutions, demonstrating its adaptability to contemporary data requirements. Such versatility makes these servers an excellent choice for organizations looking to optimize their technology investments.
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Sangfor aStor
Sangfor aStor is a cutting-edge software-defined storage solution that integrates block, file, and object storage into a unified, elastically scalable resource pool, harnessing a fully symmetrical distributed architecture to enable on-demand provisioning of high-performance and cost-efficient storage tiers that meet diverse service requirements. This system can be implemented as an all-in-one hardware-software package or as independent software, scaling from a basic configuration of three commodity x86 nodes to extensive cloud-scale clusters with thousands of nodes, facilitating EB-level capacity expansion. Through its multi-node parallel processing and advanced caching strategies—including RDMA, SSD hot-data caching, and data layering—it delivers remarkable throughput, IOPS, and performance for small I/O operations, significantly boosting cache hit rates up to 90% and enhancing small I/O processing by as much as 65%. Moreover, its distributed metadata management allows for the effective management of billions of files without noticeable latency, solidifying its position as a powerful solution for contemporary storage dilemmas. In conclusion, Sangfor aStor emerges as a dynamic and efficient choice for enterprises aiming to refine their storage architecture while ensuring scalability and performance.
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