Business Software for Grafana Cloud

Gatling is engineered for organizations that need to test at scale, offering a unified environment for designing, running, and analyzing load tests. It transforms complex performance challenges into clear, actionable insights through powerful metrics, comparisons, and customizable dashboards. Whether you're validating an API, stress testing a cloud migration, or preparing for seasonal traffic spikes, Gatling delivers predictable and repeatable results. Teams can generate millions of virtual users distributed across global or private infrastructure, ensuring realistic test conditions. With seamless integrations into CI/CD pipelines and development workflows, performance testing becomes a natural extension of the delivery cycle. Collaboration is built in, allowing teams to share scripts, coordinate runs, and manage resources together. Gatling also helps organizations follow FinOps principles by optimizing cloud usage during testing. Its flexible approach ensures faster releases, fewer incidents, and far better preparation for high-traffic moments.

Load testing is easier for developers. Open source load testing tool and SaaS platform for engineering teams. The k6 API, CLI and other tools are flexible and powerful. Javascript allows you to create tests that simulate real-world scenarios. Automate your tests to make sure your infrastructure and application are always running smoothly. To test the health and availability of your services, you can add SLOs to your k6 script. Our browser recorder and converters (JMeter Postman, Swagger) make it easier to create tests. You will find extensive documentation, great community, and first-class support. No XML. No DSL. Only familiar scripting with ES6 JS.

SIGNL4 offers critical alerting, incident response and service dispatching for operating critical infrastructure. It alerts you persistently via app push, SMS text, voice calls, and email including tracking, escalation, on-call duty scheduling and collaboration.

Kapacitor serves as a dedicated data processing engine for InfluxDB 1.x and is also a core component of the InfluxDB 2.0 ecosystem. This powerful tool is capable of handling both stream and batch data, enabling real-time responses through its unique programming language, TICKscript. In the context of contemporary applications, merely having dashboards and operator alerts is insufficient; there is a growing need for automation and action-triggering capabilities. Kapacitor employs a publish-subscribe architecture for its alerting system, where alerts are published to specific topics and handlers subscribe to these topics for updates. This flexible pub/sub framework, combined with the ability to execute User Defined Functions, empowers Kapacitor to function as a pivotal control plane within various environments, executing tasks such as auto-scaling, stock replenishment, and managing IoT devices. Additionally, Kapacitor's straightforward plugin architecture allows for seamless integration with various anomaly detection engines, further enhancing its versatility and effectiveness in data processing.

Create models at ten times the speed, link them directly to your data sources, and share insights through interactive dashboards with stunning visuals. Causal's formulas are designed to be straightforward—eliminating the need for complex cell references or cryptic syntax, and a single formula in Causal can replace dozens or even hundreds of traditional spreadsheet formulas. With the built-in scenario feature, you can effortlessly establish and analyze various what-if scenarios, utilizing ranges like "5 to 10" to grasp the complete spectrum of potential outcomes for your model. Startups leverage Causal for critical tasks such as calculating runway, monitoring key performance indicators, planning staff compensation, and crafting financial models that are ready for investors. Create eye-catching charts and tables without the hassle of lengthy customization processes. Additionally, you can seamlessly toggle between different time scales and summary formats to suit your analysis needs. Unleash the power of your data and transform the way you visualize your business metrics.

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.

configure8 is an internal developer portal that helps helps your developers move faster and build better software with self-serve access to the knowledge and functionality they need. configure8 is built around a universal catalog that easily organizes all of the sociotechnical knowledge about your team and applications, services, environments, and resources. Customize the data model to integrate any tool and present custom views and calculations. Easy to set-up and maintain, and delivers value. configure8 uses knowledge in the universal catalog to power Scorecards and Self-Serve Actions. Scorecards by configure8 feature the largest library of pre-built checks and the ability to scorecard any custom data as well as create standards tripwires. Self-Serve Actions feature dynamic forms that are contextually aware to minimize developer cognitive load for day 2 operations. We even offer starter templates + custom actions. Deploy configure8 on-premise or use our SaaS hosted version. We offer white glove support to ensure your success and high internal adoption rates.

Harness the capabilities of a no-code platform to create modern applications with ease. Design, deploy, manage, and expand cloud-native applications by taking full advantage of your team's existing skills. Transform your applications to seize new revenue streams and surpass customer expectations by swiftly modernizing both legacy and new projects. Position yourself ahead of the competition and drive transformative change. Utilize the platform's built-in DevOps features to streamline and automate the processes of software delivery and maintenance effectively. Enhance your 'cloud first' approach by incorporating support for multi-cloud and hybrid cloud environments. Prevent vendor lock-in and empower your teams with the freedom to choose their preferred cloud services and infrastructure. Minimize human error and reclaim valuable time for modernizing applications. Accelerate debugging and issue resolution with the platform's integrated developer tools, allowing for a more efficient development process. By embracing this innovative approach, organizations can foster a culture of agility and responsiveness to market demands.

Opster's AutoOps platform optimizes mapping, stabilizes operations, and improves resource utilization to reduce hardware costs and improve performance. Orchestration, management capabilities, and ticket-based support are not enough. AutoOps provides all the support you need, in real time. AutoOps can diagnose issues in all aspects of Elasticsearch operations. The system provides precise root cause analysis and also helps to resolve the problem. AutoOps can perform advanced optimizations, such as shard rebalancing and blocking heavy searches. It can also optimize templates. These optimizations will ensure your cluster operates at its peak performance and maximum resilience. Opster's AutoOps platform enables customers to dramatically reduce the hardware required for their deployment by optimizing mapping, stabilizing operations, and improving resource utilization.

InsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved.

TrueFoundry is an Enterprise Platform as a service that enables companies to build, ship and govern Agentic AI applications securely, at scale and with reliability through its AI Gateway and Agentic Deployment platform. Its AI Gateway encompasses a combination of - LLM Gateway, MCP Gateway and Agent Gateway - enabling enterprises to manage, observe, and govern access to all components of a Gen AI Application from a single control plane while ensuring proper FinOps controls. Its Agentic Deployment platform enables organizations to deploy models on GPUs using best practices, run and scale AI agents, and host MCP servers - all within the same Kubernetes-native platform. It supports on-premise, multi-cloud or Hybrid installation for both the AI Gateway and deployment environments, offers data residency and ensures enterprise-grade compliance with SOC 2, HIPAA, EU AI Act and ITAR standards. Leading Fortune 1000 companies like Resmed, Siemens Healthineers, Automation Anywhere, Zscaler, Nvidia and others trust TrueFoundry to accelerate innovation and deliver AI at scale, with 10Bn + requests per month processed via its AI Gateway and more than 1000+ clusters managed by its Agentic deployment platform. TrueFoundry’s vision is to become the Central control plane for running Agentic AI at scale within enterprises and empowering it with intelligence so that the multi-agent systems become a self-sustaining ecosystem driving unparalleled speed and innovation for businesses. To learn more about TrueFoundry, visit truefoundry.com.

Achieve in minutes what previously took years to develop with our straightforward, adaptable, scalable, and secure machine learning monitoring solution. You’ll find all the tools necessary to deploy, sustain, and enhance machine learning in a production environment. Superwise offers an open platform that seamlessly integrates with any machine learning infrastructure and connects with your preferred communication tools. If you wish to explore further, Superwise is designed with an API-first approach, ensuring that every feature is available through our APIs, all accessible from the cloud platform of your choice. With Superwise, you gain complete self-service control over your machine learning monitoring. You can configure metrics and policies via our APIs and SDK, or you can simply choose from a variety of monitoring templates to set sensitivity levels, conditions, and alert channels that suit your needs. Experience the benefits of Superwise for yourself, or reach out to us for more information. Effortlessly create alerts using Superwise’s policy templates and monitoring builder, selecting from numerous pre-configured monitors that address issues like data drift and fairness, or tailor policies to reflect your specialized knowledge and insights. The flexibility and ease of use provided by Superwise empower users to effectively manage their machine learning models.

Automatic discovery, modeling and verification of your network's state provide actionable insights into the state of the network. They also provide evidence that the network is providing the service your business needs. Automatic discovery, modelling, verification, validation of your current network state gives you actionable insights into the state of your system. Plan changes before they happen and verify that the network behaves as you expected after the change. Verify that the actual network state aligns with your intentions, as contained in your source-of-truth. A single, accurate, and consistent view of your network across on-prem instances and cloud instances allows continuity between the network and cloud teams. IP Fabric data can be accessed anywhere using our open API. The snapshots at a specific time are the best way to compare your network day-to-day. Eliminate tedious, time-consuming and error-prone workflows.

Eliminate the hassle of analyzing fragmented data from multiple sources to identify opportunities for revenue growth and churn risks. Instead, consolidate your product, customer, and subscription information within journy.io to uncover the ideal customer profiles along with their preferred features, enabling you to interact effectively with the most promising accounts and users. Gain profound insights into the key data points and usage patterns that significantly influence acquisition, conversion, expansion, and churn rates. Activate automated playbooks tailored to specific users from both promising and less promising accounts to achieve your desired goals in conversion, expansion, and retention. Additionally, refine these strategies continuously to enhance effectiveness. Streamline your engagement processes by integrating with third-party applications, leveraging real-time, live-synced product data. journy.io can initiate email drip campaigns, generate sales tasks within your CRM, launch in-app onboarding sequences, or send notifications to your team via Slack, ensuring that your engagement efforts are coordinated and timely. By utilizing these capabilities, you can create a more cohesive and efficient approach to customer interaction.

Zenduty offers a comprehensive platform for incident alerting, on-call management, and response orchestration that integrates reliability into your production operations seamlessly. It provides a unified view of the health status across all production activities, allowing teams to respond to incidents with a 90% faster turnaround and resolve issues in 60% less time. With the ability to implement customized, data-driven on-call schedules, you can maintain round-the-clock coverage for significant incidents. The platform facilitates the application of industry-leading incident response protocols, enabling quicker resolution through effective task delegation and collaborative triaging efforts. Furthermore, it automatically integrates your playbooks into each incident, ensuring a structured approach to each situation. You can also log incident-related tasks and action items to enhance the quality of postmortems and prepare for future occurrences effectively. By suppressing unnecessary alerts, your engineering and support teams can concentrate on the notifications that truly matter. Additionally, Zenduty boasts over 100 integrations with various tools such as application performance management (APM), log monitoring, error tracking, server monitoring, IT service management (ITSM), support systems, and security services, thereby enhancing the overall operational efficiency. This extensive connectivity ensures that teams can utilize their existing tools while streamlining their incident management processes.

Streamline your performance testing, analysis, and reporting processes to eliminate the tedious manual tasks that developers dislike. By doing so, you can uphold product quality while minimizing the cognitive strain on your development team, which is essential in agile environments. This solution is crafted to accommodate numerous teams operating within intricate agile frameworks, allowing for effective performance management with a limited number of performance engineers. It promotes a standardized approach to performance testing across the entire organization. Additionally, it facilitates the sharing of performance testing expertise among any team, engaged in any project, at any moment—thereby integrating performance testing into the culture of your developers and enhancing the quality of websites and services. Perfana empowers teams to assess their software’s performance not only prior to production but also with each build, all with ease. Our plugin seamlessly integrates with well-known CI servers, enabling every team to verify performance with each build or release, ensuring a continuous commitment to quality throughout the development process. This comprehensive approach not only enhances productivity but also fosters a culture of collaboration and continuous improvement.

Azure Managed Grafana offers a comprehensive, fully managed platform for monitoring and analytics needs. Backed by Grafana Enterprise, it delivers customizable and extensible data visualizations. Users can swiftly deploy Grafana dashboards with inherent high availability while managing access through Azure's security features. It supports a broad array of data sources, enabling connections to various data repositories both within Azure and beyond. By integrating charts, logs, and alerts, users can achieve a unified overview of their applications and infrastructure. Additionally, it allows for the correlation of data across different datasets, enhancing analysis capabilities. Users can easily share Grafana dashboards with colleagues and external partners, fostering collaboration in monitoring and troubleshooting solutions. This makes Azure Managed Grafana an invaluable tool for teams seeking to improve their operational efficiency and data-driven decision-making.

Analyze, visualize, and gain insights into your website's traffic with Prisme Analytics. This innovative platform empowers you to monitor essential metrics that are critical for your business while allowing you to create stunning, adaptable, and personalized dashboards. You can track specific custom events that truly reflect your business needs, designing dashboards that visualize your data in a manner tailored to your requirements. Prisme prioritizes user privacy, operating without cookies and avoiding the storage of any Personally Identifiable Information (PII), ensuring compliance with various privacy regulations such as GDPR, PECR, and CCPA. As a privacy-conscious alternative to Google Analytics, Prisme emphasizes that you should never have to compromise between user privacy and effective analytical tools. Furthermore, Prisme is user-friendly, lightweight, adaptable, and open-source, providing a seamless experience for all users. Built upon advanced open-source technologies for data visualization and storage, utilizing Grafana and ClickHouse, Prisme Analytics sets a new standard in the realm of web analytics.

Receive tailored AI suggestions for your alerts that align with the chosen persona. Parny AI offers three distinct personas: DevOps engineer, senior developer, and database administrator, each designed to deliver optimal alert recommendations. You can effortlessly include your colleagues in the on-call roster, ensuring that the appropriate individuals are notified promptly. Distribute on-call duties among team members using scheduled shifts and automated escalations to enhance responsiveness. Our platform empowers engineering teams to adopt a proactive stance, enabling quicker incident resolutions and a smoother operational experience. Additionally, you can access personalized analytics tailored to your organization, teams, services, and users. This ensures that you remain informed about your performance metrics, fostering continuous improvement in your organization's overall efficiency. With these tools at your disposal, your team can work collaboratively and effectively in managing alerts and incidents.

We reexamined every premise surrounding SIEM and completely reconstructed it from scratch. The outcome is an enhanced security data platform that is quicker, more cost-effective, and offers superior accuracy in threat detection. Cyber attackers are increasingly employing basic methods to infiltrate systems, often by accessing legitimate user accounts and exploiting them for lateral movement. Identifying these breaches poses a challenge even for highly skilled security teams. RunReveal aggregates all your log data, sifts through irrelevant information, and highlights the critical activities occurring within your systems. Regardless of whether you're dealing with petabytes or gigabytes of data, RunReveal can seamlessly correlate threats across various log sources, providing you with high-quality alerts right out of the box. We have committed resources to robust security measures, establishing a solid foundation for our security initiatives. Our guiding principle is that enhancing our security framework not only protects us but also deepens our understanding of our customers' needs. This approach ensures we remain proactive in addressing potential threats and continuously improving our services to better serve those we protect.

Hydrolix serves as a streaming data lake that integrates decoupled storage, indexed search, and stream processing, enabling real-time query performance at a terabyte scale while significantly lowering costs. CFOs appreciate the remarkable 4x decrease in data retention expenses, while product teams are thrilled to have four times more data at their disposal. You can easily activate resources when needed and scale down to zero when they are not in use. Additionally, you can optimize resource usage and performance tailored to each workload, allowing for better cost management. Imagine the possibilities for your projects when budget constraints no longer force you to limit your data access. You can ingest, enhance, and transform log data from diverse sources such as Kafka, Kinesis, and HTTP, ensuring you retrieve only the necessary information regardless of the data volume. This approach not only minimizes latency and costs but also eliminates timeouts and ineffective queries. With storage being independent from ingestion and querying processes, each aspect can scale independently to achieve both performance and budget goals. Furthermore, Hydrolix's high-density compression (HDX) often condenses 1TB of data down to an impressive 55GB, maximizing storage efficiency. By leveraging such innovative capabilities, organizations can fully harness their data potential without financial constraints.

OpenCost is an open-source initiative that is vendor-neutral, designed to measure and allocate costs associated with cloud infrastructure and containers in real-time. Developed by experts in Kubernetes and backed by practitioners in the field, OpenCost brings transparency to the often opaque spending patterns associated with Kubernetes. It offers flexible and customizable options for cost allocation and monitoring of cloud resources, facilitating accurate showback, chargeback, and continuous reporting. The tool provides real-time cost allocation that can be examined down to individual containers, ensuring precise tracking of expenses. It effectively allocates costs for in-cluster resources, including CPU, GPU, memory, load balancers, and persistent volumes. Additionally, OpenCost features dynamic asset pricing by integrating with billing APIs from AWS, Azure, and GCP, while also accommodating on-premises Kubernetes clusters with tailored pricing solutions. Beyond the Kubernetes cluster, it can monitor expenses from cloud providers related to resources such as object storage and databases, as well as other managed services. Furthermore, it seamlessly integrates with other open-source tools, allowing for convenient exports of pricing data to platforms like Prometheus, enhancing its utility in cost management. This makes OpenCost a comprehensive solution for organizations seeking to maintain control over their cloud spending effectively.

OpenLIT serves as an observability tool that is fully integrated with OpenTelemetry, specifically tailored for application monitoring. It simplifies the integration of observability into AI projects, requiring only a single line of code for setup. This tool is compatible with leading LLM libraries, such as those from OpenAI and HuggingFace, making its implementation feel both easy and intuitive. Users can monitor LLM and GPU performance, along with associated costs, to optimize efficiency and scalability effectively. The platform streams data for visualization, enabling rapid decision-making and adjustments without compromising application performance. OpenLIT's user interface is designed to provide a clear view of LLM expenses, token usage, performance metrics, and user interactions. Additionally, it facilitates seamless connections to widely-used observability platforms like Datadog and Grafana Cloud for automatic data export. This comprehensive approach ensures that your applications are consistently monitored, allowing for proactive management of resources and performance. With OpenLIT, developers can focus on enhancing their AI models while the tool manages observability seamlessly.

Regardless of whether your project involves a single table or numerous tables, StarRocks guarantees an impressive performance improvement of at least 300% when compared to other widely used solutions. With its comprehensive array of connectors, you can seamlessly ingest streaming data and capture information in real time, ensuring that you always have access to the latest insights. The query engine is tailored to suit your specific use cases, allowing for adaptable analytics without the need to relocate data or modify SQL queries. This provides an effortless way to scale your analytics capabilities as required. StarRocks not only facilitates a swift transition from data to actionable insights, but also stands out with its unmatched performance, offering a holistic OLAP solution that addresses the most prevalent data analytics requirements. Its advanced memory-and-disk-based caching framework is purpose-built to reduce I/O overhead associated with retrieving data from external storage, significantly enhancing query performance while maintaining efficiency. This unique combination of features ensures that users can maximize their data's potential without unnecessary delays.

Langtrace is an open-source observability solution designed to gather and evaluate traces and metrics, aiming to enhance your LLM applications. It prioritizes security with its cloud platform being SOC 2 Type II certified, ensuring your data remains highly protected. The tool is compatible with a variety of popular LLMs, frameworks, and vector databases. Additionally, Langtrace offers the option for self-hosting and adheres to the OpenTelemetry standard, allowing traces to be utilized by any observability tool of your preference and thus avoiding vendor lock-in. Gain comprehensive visibility and insights into your complete ML pipeline, whether working with a RAG or a fine-tuned model, as it effectively captures traces and logs across frameworks, vector databases, and LLM requests. Create annotated golden datasets through traced LLM interactions, which can then be leveraged for ongoing testing and improvement of your AI applications. Langtrace comes equipped with heuristic, statistical, and model-based evaluations to facilitate this enhancement process, thereby ensuring that your systems evolve alongside the latest advancements in technology. With its robust features, Langtrace empowers developers to maintain high performance and reliability in their machine learning projects.