Business Software for Prometheus

Wyebot is transforming how organizations optimize their business-critical WiFi networks. Our AI-powered Wireless Intelligence Platform combines intelligent sensors and agents with cloud-based software to analyze WiFi networks from the end-user perspective, automatically detecting both intermittent and critical issues, and proactively recommending solutions. Wyebot's cloud-based platform provides 360-degree visibility across your entire network, from wireless to wired connections, client devices to access points. Our software automatically identifies whether issues stem from the back-end network infrastructure itself or other sources, eliminating cross-team finger-pointing and accelerating resolution. Our AI-powered engine detects issues and recommends specific solutions, while detailed historical data, including full packet captures, enables rapid problem resolution without costly site visits. Instead of reacting to user complaints, teams can prevent issues before they happen through automated recommendations and real-time insights. The end result is reliable WiFi performance and independent network validation from a trusted, vendor-agnostic partner.

Application Performance Management Get complete visibility into the health and performance of applications. Detect and resolve performance issues no matter where they occur in the entire stack. No sampling. No blindspots. Log Analytics Search and analyze event data across your applications, infrastructure, security, or business without worrying about indexing, data tiers, retention policies, or cost. Keep all log data always hot. Infrastructure Monitoring Capture metrics across your infrastructure – cloud, Kubernetes, serverless, applications or from over 400 pre-built integrations. Visualize the entire stack and troubleshoot performance issues in real-time. O11y AI Investigate and resolve incidents faster with O11y Investigator. Use natural language to explore observability data with O11y Copilot, generate Regular Expressions effortlessly with O11y Regex, and obtain precise answers with O11y GPT. Observe for Snowflake Comprehensive observability into Snowflake workloads. Optimize performance and resource utilization. Deliver secure and compliant operations.

Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.

Pro Edition for Eclipse Mosquitto is a pro version of the world's #1 MQTT broker that quickly, stably, and reliably transmits data between IoT devices. Compared to the popular open-source version, Pro Mosquitto offers professional MQTT broker and client administration and monitoring, MQTT High Availability, MQTT and REST API access, improved reliability, enhanced security, and professional support, making it an ideal solution for commercial use. Benefits: Performance: Benefit from the low usage of computing resources and easily maintain up to 1 million concurrent connections. Pro Mosquitto is written in C, which makes it even more lightweight and efficient than competitors. In addition, it can run on very low-spec embedded devices, e.g., single-core 600MHz ARM and 128MB RAM. Reliable and trusted by the global dev community: The product is a pro version of the most popular open-source MQTT broker with more than 500 million docker pulls worldwide, powered by up to 99.99% SLA to ensure business continuity. Professional services and support: Our team can help you solve any issue, ensuring your project's successful implementation and maintenance. In addition, one can also request us to provide them with professional services

Transform your clients into success narratives with integrated intelligence that includes advanced analytics, intuitive dashboards, and beyond. Bold BI is meticulously crafted as an embedded platform, ensuring that there are no trade-offs or shortcuts in its functionality. Traditional requirements, such as the need to consolidate all your data into a specific data store or cube, can complicate your application unnecessarily in today’s environment. Some solutions necessitate the creation of intricate systems for data integration while also ensuring that the embedded BI data store remains aligned with your data sources. However, with Bold BI, you can seamlessly connect to a multitude of data sources as well as any data warehouse that suits your needs. Choose single-tenant mode for a shared data model or opt for multi-tenant mode to keep a unified source for dashboards while distributing them across various tenants. Bold BI is built to handle both conventional and unique situations effortlessly. You can embed Bold BI directly within your application code through its robust JavaScript APIs, making it a versatile choice for developers. This flexibility ensures that whatever your data requirements may be, Bold BI is equipped to meet them effectively.

VictoriaMetrics is a cost-effective, scalable monitoring solution that can also be used as a time series database. It can also be used to store Prometheus' long-term data. VictoriaMetrics is a single executable that does not have any external dependencies. All configuration is done using explicit command-line flags and reasonable defaults. It provides global query view. Multiple Prometheus instances, or other data sources, may insert data into VictoriaMetrics. Later this data may be queried via a single query. It can handle high cardinality and high churn rates issues by using a series limiter.

We know how simple Apache Kafka®, can be when you have the right tools. kPow was created to simplify the Kafka development experience and save businesses time and money. kPow makes it easy to find the root cause of production problems in a matter of clicks and not hours. With kPow's Data Inspect and kREPL functions, you can search tens of thousands messages per second. Are you new to Kafka kPow's Kafka UI is unique and allows developers to quickly understand the core Kafka concepts. You can upskill new members of your team and increase your Kafka knowledge. kPow offers a range of Kafka management features and monitoring capabilities in a single Docker Container. You can manage multiple clusters and schema registries. Connect installs with one instance.

The SCM-Manager gives you full control over your source code, and allows you to manage Mercurial, Subversion, and Git repositories. The SCM-Manager is lightweight and flexible, with many benefits. Below are the most important benefits: - Open source 100% under MIT License: SCM-Manager can be used commercially and personally, regardless of the size or composition of your team. - No extra weight: The core task of the SCM Manager is to manage repository management. - Rapidly extendable: More than 50 plugins add new target-oriented functions to your SCM-Manager, such as e.g. for workflow-controlled code reviews - Simple integration: Connect the SCM-Manager easily to existing systems (e.g. Project management software or CI/CD pipelines). - Free choice of platform: No matter whether you are using Linux, Windows, macOS, or container, a convenient installer will prepare your instance in no more than a few minutes. - Community Support: The platform at myCloudogu will offer support regarding any issues or interests. Current new releases or future requests are shared on the community forum. - Documentation: The SCM-Manager documentation describes the usage and administration. It is available in English and German.

Cloud-based solution for observability that helps businesses manage and track workload and performance through a single dashboard. Monitor all the services you run on your cloud without compromising cost, granularity or scale. Groundcover is a cloud-native APM solution that makes observability easy so you can focus on creating world-class products. Groundcover's proprietary sensor unlocks unprecedented granularity for all your applications. This eliminates the need for costly changes in code and development cycles, ensuring monitoring continuity.

Emma gives you the ability to select the most suitable cloud providers and environments, allowing for adaptation to evolving demands while maintaining simplicity and control. It streamlines cloud management by integrating services and automating essential tasks, thereby minimizing complexity. The platform also enhances cloud resource optimization automatically, guaranteeing full utilization and lowering overhead costs. By supporting open standards, it offers flexibility that liberates businesses from dependency on specific vendors. With real-time monitoring and optimization of data traffic, it effectively prevents unexpected cost spikes through efficient resource allocation. You can establish your cloud infrastructure across various providers and environments, whether on-premises, private, hybrid, or public. Management of your consolidated cloud environment is made easy through a single, user-friendly interface. Additionally, you can gain crucial visibility to enhance infrastructure performance and reduce expenditures. By reclaiming control over your entire cloud ecosystem, you can also ensure compliance with regulatory standards while fostering innovation and growth. This comprehensive approach empowers businesses to stay competitive in an ever-changing digital landscape.

Dash0 is an OpenTelemetry-native observability platform for developers and SRE teams. Metrics, logs, traces, and resources sit in one place, linked by OpenTelemetry semantic conventions, so you move from a slow trace to the logs around it without switching tools or rebuilding context by hand. Telemetry arrives over OTLP. There is no proprietary agent to install and nothing to re-instrument: send the OpenTelemetry data you already collect, and take it elsewhere unchanged if you ever want to. Dash0 ingests Prometheus metrics alongside OpenTelemetry, supports PromQL, and imports existing Prometheus alerting rules and Grafana dashboards. A Kubernetes operator handles collection across clusters, covering workloads, nodes, and control plane. Dashboards are built on Perses and defined as code, so they live in Git and ship through the same review process as the rest of your infrastructure. Checks and alerts are configured the same way. Heatmap drilldowns and filtering on high-cardinality attributes narrow a broad symptom down to the specific requests behind it. AI works on the data rather than in a chat window. Log AI infers severity for logs that arrive without it, extracts patterns, and groups related records, which makes unstructured output from third-party services searchable and filterable. Trace triage uses the SIFT framework to narrow a failing request toward a likely cause. Spend is visible in the product. You can see which services, attributes, and log volumes drive cost and cut them at the source, rather than reconciling a bill after the fact.

Webswing is the driving force behind webswing.org, a powerful web server that allows any Java desktop application to run directly in a web browser - without changing a single line of source code. With Webswing, you can run Java Desktop applications using pure HTML5, seamlessly supporting frameworks like Swing, JavaFX, Oracle Forms, SWT, NetBeans, and even Java applets. While the golden era of the Java Desktop GUI has passed and desktop applications have lost popularity in favour of online and mobile solutions, the question remains: what should you do with your existing applications? Applet technology is no longer secure, and rewriting your application for the web can be prohibitively expensive. That’s where Webswing comes in. By running your application securely on a server, Webswing allows users to interact with it via their browser, displaying the application window as if it were native. And all of this happens without modifying your code. You can set up Webswing in just three simple steps, often within minutes. Our team of IT professionals deploys Webswing daily, helping clients unlock new markets and opportunities for their existing Java applications. With extensive experience in a wide range of Webswing projects, we’re confident we can take your business further than you might imagine. Our entire company is dedicated to ongoing product development and delivering world-class support to clients across the globe. We're continually enhancing Webswing to make it even more flexible, user-friendly, and powerful. Visit webswing.org for more information, including licensing details. Let’s Webswing together!

I&B monitoring is a cloud-based Business & IT infrastructure monitoring platform that brings business performance, IT services and underlying infrastructure into one unified system. Instead of stitching together separate tools for servers, applications and business reporting, teams work from one source of truth. The platform collects metrics, logs and traces from servers, databases, containers, virtual machines, network devices and applications. Ready-made exporters and resource templates cover common technologies, so you simply define what to monitor, which metrics to collect and which sources to collect them from. Downloadable Ansible files let you deploy agents and exporters across an entire environment with a single command. A business-to-resource hierarchy links business units and subunits, IT services, service layers and individual resources. Graph-based visualisations make the dependencies between them visible, so an engineer can see at once whether a failure sits in the application layer or deeper in the infrastructure, and which business KPIs and customers are affected. Dashboards are role-specific. Executives and business unit managers get KPI and status views, operations teams get real-time service and resource health, DevOps and SRE engineers get incident context and performance detail, and security teams get operational context around anomalies. Pre-built dashboards ship out of the box. Contextual alerting groups related threshold breaches into meaningful, actionable incidents and separates component faults, layer issues, outages and business-impacting events, cutting alert noise. Native integrations with Jira, Zendesk, Zoho Desk and email create tickets automatically, enriched with the correlated metrics and events behind the incident.

Subnetlens is a desktop application designed for Windows that prioritizes local-first functionality, focusing on network discovery, LAN monitoring, and IT troubleshooting tasks. The software efficiently scans and categorizes connected devices, creating an interactive topology map while maintaining a history of ports and services for each device. Additionally, it actively listens for mDNS and SSDP device activity in real time and comes equipped with a suite of 26 built-in diagnostic tools, including ping, traceroute, and DNS lookup, among others. Users can also benefit from advanced features such as Radar monitoring, Prometheus metrics, scheduled scans, risk assessment, and the generation of HTML reports. Furthermore, Subnetlens supports IP address management (IPAM), webhooks, an encrypted credential vault, SNMP topology, and the ability to handle multiple network profiles. It is important to note that scan data is securely stored on the user's device unless they choose to export it, enable webhooks, or make the Prometheus endpoint accessible. Developed and code-signed by HELIOSOFT LTD, Subnetlens is offered in a free version, while a one-time Pro license can be purchased for $79 to unlock additional capabilities. This makes it an appealing choice for IT professionals seeking a comprehensive tool for network management and monitoring.

Avaron specializes in creating autonomous infrastructure tailored for both enterprise and mission-critical settings. Central to their offering is AIM (Avaron Infrastructure Manager), a sophisticated system that perpetually tracks infrastructure performance, scrutinizes operational metrics, and implements policy-driven remediation workflows. By integrating monitoring, automation, simulation, and orchestration within a single platform, AIM not only simplifies operational complexities but also enhances the resilience and efficiency of infrastructure. Unlike conventional tools that merely focus on monitoring and alerting, AIM seamlessly blends observability, AI-powered decision-making, automation, and remediation, thereby eliminating tedious manual tasks and refining incident response protocols. Designed for various sectors, including data centers, managed service providers, telecom, healthcare, financial services, and manufacturing, AIM caters to any organization operating distributed infrastructure and aims to transform the way enterprises manage their critical systems.

LiMon serves as a self-hosted substitute for OpenLM and Flexera FlexNet Manager, specifically designed for teams that require monitoring of engineering license servers without needing a comprehensive IT asset management implementation. This tool efficiently monitors usage across various licensing systems such as FlexLM, RLM, LM-X, and DSLS from a singular on-premises appliance, providing insights into utilization trends, denials, peak concurrency, and generating reports that are ready for audits and renewals. Unlike lmstat, which only displays the current status, LiMon maintains a historical record, allowing users to substantiate previous usage ahead of renewal or audit periods. Installation is straightforward, taking approximately 15 minutes via Docker, DEB, or RPM. Additionally, it operates entirely in an air-gapped mode, eliminating the need for agents on any devices, avoiding cloud dependencies, and ensuring there is no phone-home functionality, making it ideal for environments where security is paramount. The pricing structure is transparent and fixed, consisting of a perpetual platform license complemented by an optional annual subscription that offers reports, analytics, Active Directory/LDAP integration, and support services. This unique combination of features makes LiMon a compelling choice for organizations seeking a focused, secure, and efficient license management solution.

Gather, transform, and direct all your logs and metrics with a single, user-friendly tool. Developed in Rust, Vector boasts impressive speed, efficient memory utilization, and is crafted to manage even the most intensive workloads. The aim of Vector is to serve as your all-in-one solution for transferring observability data from one point to another, available for deployment as a daemon, sidecar, or aggregator. With support for both logs and metrics, Vector simplifies the process of collecting and processing all your observability information. It maintains neutrality towards specific vendor platforms, promoting a balanced and open ecosystem that prioritizes your needs. Free from vendor lock-in and designed to be resilient for the future, Vector’s highly customizable transformations empower you with the full capabilities of programmable runtimes. This allows you to tackle intricate scenarios without restrictions. Understanding the importance of guarantees, Vector explicitly outlines the assurances it offers, enabling you to make informed decisions tailored to your specific requirements. In this way, Vector not only facilitates data management but also ensures peace of mind in your operational choices.

Keep track of the performance and status of your API endpoints and essential website transactions using a single, user-friendly dashboard. Checkly serves as a proactive reliability platform that merges the advantages of end-to-end testing with continuous monitoring, specifically tailored for contemporary, cross-functional DevOps teams. Emphasizing JavaScript-based open-source technology stacks, Checkly offers a straightforward setup process and integrates smoothly into your existing development processes. As the go-to platform for API and end-to-end monitoring in modern environments, Checkly is programmable, adaptable, and enthusiastically supports JavaScript. Ensure your important website transactions are continuously monitored and validated, while also capturing screenshots to provide immediate insights into operational performance. Automating browser click-flows has become significantly easier; utilize modern open-source tools such as Playwright and Puppeteer for seamless flow automation. Execute your monitoring checks from 20 different locations globally to guarantee that your APIs respond swiftly and deliver the correct data payload consistently. By leveraging Checkly, you can enhance the reliability and performance of your web applications while simplifying your testing processes.

NeuVector provides complete security for the entire CI/CD process. We provide vulnerability management and attack blocking in all production with our patented container firewall. NeuVector provides PCI-ready container security. You can meet your requirements in less time and with less effort. NeuVector protects IP and data in public and private cloud environments. Continuously scan the container throughout its lifecycle. Security roadblocks should be removed. Incorporate security policies from the beginning. Comprehensive vulnerability management to determine your risk profile. The only patentable container firewall provides immediate protection against known and unknown threats for zero days. NeuVector is essential for PCI and other mandates. It creates a virtual firewall to protect personal and private information on your network. NeuVector is a kubernetes-native container security platform which provides complete container security.

We are the sole provider in the industry capable of autonomously tuning applications at scale, whether for an individual app or throughout the entire service delivery framework. Opsani optimizes your application independently, ensuring that your cloud solution operates more efficiently and effectively without added effort on your part. Utilizing advanced AI and Machine Learning technologies, Opsani COaaS enhances cloud workload performance by perpetually reconfiguring and adjusting with every code update, load profile modification, and infrastructure enhancement. This process is seamless, allowing integration with a singular application or throughout your service delivery ecosystem while scaling autonomously across thousands of services. With Opsani, you can address all three of these challenges independently and without compromise. By employing Opsani's AI-driven algorithms, you can achieve cost reductions of up to 71%. The optimization process carried out by Opsani involves continually assessing trillions of configuration combinations to identify the most effective resource allocations and parameter settings for your needs. As a result, users can expect not just efficiency, but also a significant boost in overall application performance.

Leverage the most extensively utilized observability platform, founded on the reliable Elastic Stack (commonly referred to as the ELK Stack), to integrate disparate data sources, providing cohesive visibility and actionable insights. To truly monitor and extract insights from your distributed systems, it is essential to consolidate all your observability data within a single framework. Eliminate data silos by merging application, infrastructure, and user information into a holistic solution that facilitates comprehensive observability and alerting. By integrating limitless telemetry data collection with search-driven problem-solving capabilities, you can achieve superior operational and business outcomes. Unify your data silos by assimilating all telemetry data, including metrics, logs, and traces, from any source into a platform that is open, extensible, and scalable. Enhance the speed of problem resolution through automatic anomaly detection that leverages machine learning and sophisticated data analytics, ensuring you stay ahead in today's fast-paced environment. This integrated approach not only streamlines processes but also empowers teams to make informed decisions swiftly.

Kaholo is an IT workflow automation tool for developers that uses low-code code. It allows them to automate their workflows quicker and can be used by any developer without the need for scripting or proprietary tool knowledge.

The NVIDIA Triton™ inference server provides efficient and scalable AI solutions for production environments. This open-source software simplifies the process of AI inference, allowing teams to deploy trained models from various frameworks, such as TensorFlow, NVIDIA TensorRT®, PyTorch, ONNX, XGBoost, Python, and more, across any infrastructure that relies on GPUs or CPUs, whether in the cloud, data center, or at the edge. By enabling concurrent model execution on GPUs, Triton enhances throughput and resource utilization, while also supporting inferencing on both x86 and ARM architectures. It comes equipped with advanced features such as dynamic batching, model analysis, ensemble modeling, and audio streaming capabilities. Additionally, Triton is designed to integrate seamlessly with Kubernetes, facilitating orchestration and scaling, while providing Prometheus metrics for effective monitoring and supporting live updates to models. This software is compatible with all major public cloud machine learning platforms and managed Kubernetes services, making it an essential tool for standardizing model deployment in production settings. Ultimately, Triton empowers developers to achieve high-performance inference while simplifying the overall deployment process.

Deploy your machine learning model in the cloud within minutes using a consolidated packaging format that supports both online and offline operations across various platforms. Experience a performance boost with throughput that is 100 times greater than traditional flask-based model servers, achieved through our innovative micro-batching technique. Provide exceptional prediction services that align seamlessly with DevOps practices and integrate effortlessly with widely-used infrastructure tools. The unified deployment format ensures high-performance model serving while incorporating best practices for DevOps. This service utilizes the BERT model, which has been trained with the TensorFlow framework to effectively gauge the sentiment of movie reviews. Our BentoML workflow eliminates the need for DevOps expertise, automating everything from prediction service registration to deployment and endpoint monitoring, all set up effortlessly for your team. This creates a robust environment for managing substantial ML workloads in production. Ensure that all models, deployments, and updates are easily accessible and maintain control over access through SSO, RBAC, client authentication, and detailed auditing logs, thereby enhancing both security and transparency within your operations. With these features, your machine learning deployment process becomes more efficient and manageable than ever before.

Sedai intelligently finds resources, analyzes traffic patterns and learns metric performance. This allows you to manage your production environments continuously without any manual thresholds or human intervention. Sedai's Discovery engine uses an agentless approach to automatically identify everything in your production environments. It intelligently prioritizes your monitoring information. All your cloud accounts are on the same platform. All of your cloud resources can be viewed in one place. Connect your APM tools. Sedai will identify and select the most important metrics. Machine learning intelligently sets thresholds. Sedai is able to see all the changes in your environment. You can view updates and changes and control how the platform manages resources. Sedai's Decision engine makes use of ML to analyze and comprehend data at large scale to simplify the chaos.