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Grafana CloudGrafana Labs provides the leading AI-powered observability platform, built around Grafana—the most widely adopted open source technology for dashboards and visualization. Recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Observability Platforms, Grafana Labs supports more than 25 million users and thousands of organizations worldwide, from startups to Fortune 500 enterprises. Grafana Cloud is the open observability cloud, delivering full-stack visibility across modern applications, infrastructure, and digital services. Built on open source, open standards, and open ecosystems, the platform unifies metrics, logs, traces, and profiles into a scalable observability experience that helps teams detect issues earlier, resolve incidents faster, and operate more efficiently. At the core of Grafana Cloud is the open-source LGTM stack: Grafana for dashboards and visualization, Mimir for scalable metrics, Loki for logs, and Tempo for distributed tracing. Native OpenTelemetry and Prometheus support make it easy to collect telemetry from any environment, while hundreds of integrations connect existing systems and tools—allowing organizations to extend observability without vendor lock-in. Grafana Cloud also introduces powerful AI-driven observability capabilities. Grafana Assistant helps teams explore data, investigate incidents, and troubleshoot faster through an intelligent interface built for engineers. Adaptive Telemetry identifies high-value signals and aggregates the rest, helping organizations reduce telemetry costs while maintaining operational insight. With solutions spanning Kubernetes monitoring, application and infrastructure observability, frontend monitoring, database observability, incident response, synthetic monitoring, and performance testing, Grafana Cloud delivers the clarity teams need to move faster and operate with confidence.
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Google Cloud Speech-to-TextAn API driven by Google's AI capabilities enables precise transformation of spoken language into written text. This technology enhances your content with accurate captions, improves the user experience through voice-activated features, and provides valuable analysis of customer interactions that can lead to better service. Utilizing cutting-edge algorithms from Google's deep learning neural networks, this automatic speech recognition (ASR) system stands out as one of the most sophisticated available. The Speech-to-Text service supports a variety of applications, allowing for the creation, management, and customization of tailored resources. You have the flexibility to implement speech recognition solutions wherever needed, whether in the cloud via the API or on-premises with Speech-to-Text O-Prem. Additionally, it offers the ability to customize the recognition process to accommodate industry-specific jargon or uncommon vocabulary. The system also automates the conversion of spoken figures into addresses, years, and currencies. With an intuitive user interface, experimenting with your speech audio becomes a seamless process, opening up new possibilities for innovation and efficiency. This robust tool invites users to explore its capabilities and integrate them into their projects with ease.
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DragonflyDragonfly acts as a highly efficient alternative to Redis, significantly improving performance while also lowering costs. It is designed to leverage the strengths of modern cloud infrastructure, addressing the data needs of contemporary applications and freeing developers from the limitations of traditional in-memory data solutions. Older software is unable to take full advantage of the advancements offered by new cloud technologies. By optimizing for cloud settings, Dragonfly delivers an astonishing 25 times the throughput and cuts snapshotting latency by 12 times when compared to legacy in-memory data systems like Redis, facilitating the quick responses that users expect. Redis's conventional single-threaded framework incurs high costs during workload scaling. In contrast, Dragonfly demonstrates superior efficiency in both processing and memory utilization, potentially slashing infrastructure costs by as much as 80%. It initially scales vertically and only shifts to clustering when faced with extreme scaling challenges, which streamlines the operational process and boosts system reliability. As a result, developers can prioritize creative solutions over handling infrastructure issues, ultimately leading to more innovative applications. This transition not only enhances productivity but also allows teams to explore new features and improvements without the typical constraints of server management.
What is DeviceShelf?
DeviceShelf offers an extensive overview of your local network, guaranteeing that the entire layout is securely kept on your device. With just one scan, it provides in-depth information about each responding device, such as vendor details, hostname, operating system, and type, while also offering insights into open ports and their security implications.
The tool scans all network adapters simultaneously, identifies devices through MAC OUI, DNS, mDNS/Bonjour, NetBIOS, TTL, and DHCP fingerprints, and lists open TCP and UDP ports alongside detected services, resulting in a prioritized security report that emphasizes any exposed services like Telnet, RDP, ADB, Docker API, or Redis; it also notes default credentials, weak TLS configurations, and known CVEs, each accompanied by suggested remedies and risk assessments ranging from 0 to 100. Additionally, DeviceShelf continuously observes network activity, monitoring when devices link or disconnect and delivering real-time metrics on uptime, latency, and bandwidth for each connected device.
There’s no requirement for an account, as DeviceShelf functions without telemetry or cloud integration, ensuring that scanning results stay local to the initiating computer; moreover, its optional AI assistant can operate using either your own API key or a local model. In addition, a single license provides access to desktop, mobile, and a 24/7 server version, making it an adaptable option for effective network management. Ultimately, this robust tool enhances your ability to safeguard your network with ease and efficiency.
What is Angry IP Scanner?
Angry IP Scanner is a fast and effective utility specifically crafted for scanning IP addresses along with their corresponding ports. It is capable of functioning within any designated IP address range, is compatible with multiple operating systems, and has a lightweight design. This tool is portable, meaning it does not necessitate installation, allowing users to effortlessly copy it for use in various environments. The scanning begins with a ping to check the responsiveness of each IP address; afterwards, it can resolve hostnames, detect MAC addresses, and conduct port scans, among other capabilities. Users can further enrich the information gathered on each host by utilizing plugins. In addition, Angry IP Scanner provides functionalities such as retrieving NetBIOS information (which includes computer names, workgroup names, and the currently logged-in Windows user), saving favorite IP ranges, identifying web servers, and customizing openers. The outcomes from the scans can be exported in several formats, including CSV, TXT, XML, or as lists of IP-Port pairs. Furthermore, individuals with Java skills have the opportunity to develop plugins, enhancing the features of Angry IP Scanner even more, which solidifies its reputation as a versatile tool for network analysis. Its user-friendly nature and flexibility render it an ideal option for both beginners and seasoned professionals in the field. Additionally, the ability to customize the scanning process to meet specific needs only adds to its appeal as a comprehensive network management solution.
Media
No images available
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
EUR 59, one-time purchase
Free Version
Free Trial Offered?
Pricing Information
Free
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
DeviceShelf
Date Founded
2026
Company Location
Switzerland
Company Website
deviceshelf.app
Company Facts
Organization Name
Angry IP Scanner
Company Website
angryip.org