Business Software for Grafana Cloud

Data plays a crucial role in every facet of a processing plant or facility, serving as the backbone for most operational workflows, critical business decisions, and various environmental occurrences. Often, failures can be linked back to this very data, manifesting as operator mistakes, faulty sensors, safety incidents, or inadequate analytics. APERIO steps in to address these challenges effectively. In the realm of Industry 4.0, data integrity stands as a vital component, forming the bedrock for more sophisticated applications, including predictive models, process optimization, and tailored AI solutions. Recognized as the premier provider of dependable and trustworthy data, APERIO DataWise enables organizations to automate the quality assurance of their PI data or digital twins on a continuous and large scale. By guaranteeing validated data throughout the enterprise, businesses can enhance asset reliability significantly. Furthermore, this empowers operators to make informed decisions, fortifies the detection of threats to operational data, and ensures resilience in operations. Additionally, APERIO facilitates precise monitoring and reporting of sustainability metrics, promoting greater accountability and transparency within industrial practices.

Oversee, regulate, and automate the operations of spacecraft efficiently. Manage a variety of missions, an assortment of satellites, and different payloads through a cohesive interface. Control various satellite models within a single platform, enabling the smooth transition from older fleets to support for next-generation payloads. Utilize Quindar Mission Management to monitor spacecraft, secure communication slots, automate task assignments, and respond intelligently to incidents both on the ground and in space. Leverage cutting-edge analytics and machine learning capabilities to transform raw data into strategic insights. Accelerate decision-making processes through predictive maintenance, trend evaluation, and anomaly detection. By harnessing data-driven insights, you can advance your mission effectively. This solution is designed for seamless integration with your current systems and third-party tools. As your operational requirements change, your capabilities can adapt accordingly without being hindered by vendor limitations. Furthermore, conduct thorough analyses of flight trajectories and commands across the majority of command and control systems, ensuring comprehensive oversight and management of all spacecraft activities.

Blink serves as a powerful ROI enhancer for security teams and business executives aiming to efficiently secure an extensive range of scenarios. It provides comprehensive visibility and coverage of alerts throughout your organization and security infrastructure. By leveraging automated processes, it minimizes noise and decreases the incidence of false alarms in alerts. Additionally, it scans for attacks while proactively detecting insider threats and vulnerabilities. Users can establish automated workflows that incorporate pertinent context, simplify communication, and shorten mean time to resolution (MTTR). Alerts can be acted upon to bolster your cloud security posture through no-code automation and generative AI. The platform also facilitates shift-left access requests, streamlines approval processes, and allows developers to work without hindrance, all while ensuring application security. Furthermore, it enables ongoing monitoring of applications for compliance with SOC2, ISO, GDPR, and other standards, helping to enforce necessary controls. This comprehensive approach not only improves security but also enhances operational efficiency across the board.

The service compiles runtime information from various sources into a unified log group. You have the option to utilize existing log groups or establish new ones tailored for specific services and applications. Filtering entries can be accomplished through the use of queries. While engaging with Cloud Logging, you can employ logical operators, filter by specific parameters, or delve into searches within JSON parameters. Cloud Logging is designed to gather, process, and retain logs for a maximum of 31 days. Each log group has a dedicated and separate data storage space. Read and write access can be configured through the assignment of roles. Additionally, you can consolidate data from Cloud Logging alongside diagnostic details from other systems that interface with Grafana, all within a single dashboard for streamlined analysis. This integration not only enhances visibility but also simplifies monitoring across multiple platforms.

Introducing MinusX, a Chrome extension designed to streamline the operation of your analytics applications, providing the quickest method to derive insights from your data. With the ability to interoperate with MinusX, users can easily adjust or enhance their existing notebooks. Simply select a specific area, pose inquiries, or request modifications to your data. MinusX is compatible with popular analytics platforms such as Jupyter Notebooks, Metabase, Tableau, and more, allowing you to generate analyses and share outcomes with your team in real-time. Our advanced privacy settings ensure that any data shared is utilized solely for improving the accuracy of our models, with a strict policy against sharing your data with external parties. The seamless integration of MinusX into your existing tools means you can remain within your current workflow while addressing questions. Actionable tasks are prioritized as first-class entities, enabling MinusX to select the most appropriate action based on context. Presently, we support models like Claude Sonnet 3.5, GPT-4o, and GPT-4o mini, and we are actively developing a feature that will allow you to incorporate your own models for even greater customization. This adaptability ensures that MinusX can cater to a wide range of analytical needs and preferences.

Kops.dev enhances the simplicity of provisioning, administration, and monitoring of infrastructure across various cloud environments. It allows for effortless deployment and management of resources on platforms such as AWS, Google Cloud, and Azure, all through a unified interface. The platform features integrated monitoring solutions like Prometheus, Grafana, and FluentBit, providing users with real-time visibility and log oversight. With built-in support for distributed tracing, it facilitates comprehensive tracking and performance optimization of applications running on microservices. The system automatically configures container registries, manages permissions, and oversees credentials necessary for deploying images within your cluster. YAML configurations are seamlessly handled, minimizing the input required from users while managing service settings effectively. Additionally, it streamlines database setup, which encompasses creating data stores, managing firewalls, and securely linking credentials to service pods. Host attachments and TLS certificates are also automatically configured, ensuring that your services can be securely exposed. This comprehensive approach not only enhances efficiency but also significantly reduces the complexities associated with managing cloud infrastructure.

A test execution is defined by a combination of a testing tool, a repository of tests, and specific arguments or parameters. You can utilize the out-of-the-box workflows provided by Testkube for various testing tools or create a personalized workflow tailored to your needs. It's possible to group related or unrelated test execution workflows into comprehensive suites for better organization. Additionally, you can establish a searchable repository filled with test executions that are ready to run. Proactive triggers allow you to initiate test executions in response to CI/CD events, on a manual basis, or according to a predefined schedule. Furthermore, you can set up your system to respond to Kubernetes infrastructure events, like deployments, to automatically launch test executions. With Kubernetes’s inherent scalability, you have the option to increase the number of concurrent test executions to meet demand. You can also take advantage of advanced scaling options to enhance load tests, allowing you to expand from a single execution to as many as 1,000. By parallelizing functional tests, you can significantly reduce the time required for completion. All logs and artifacts generated during the execution of test tools are stored in a centralized repository, making them easily accessible. Moreover, the system includes features for quickly identifying errors by highlighting keywords associated with failures in the logs. In addition, utilizing various filtering options can enhance your ability to sift through logs efficiently, ensuring a smoother debugging process.

The Azure Marketplace serves as an extensive digital storefront, granting users access to a vast array of certified, ready-to-use software applications, services, and solutions provided by both Microsoft and various third-party vendors. This platform allows businesses to easily explore, purchase, and implement software solutions directly within the Azure cloud ecosystem. It features a diverse selection of products, encompassing virtual machine images, AI and machine learning models, developer tools, security features, and applications tailored for specific industries. With various pricing structures, including pay-as-you-go, free trials, and subscriptions, Azure Marketplace makes the procurement process more straightforward and consolidates billing into a single Azure invoice. Furthermore, its seamless integration with Azure services empowers organizations to bolster their cloud infrastructure, streamline operational workflows, and accelerate their digital transformation goals effectively. As a result, businesses can leverage cutting-edge technology solutions to stay competitive in an ever-evolving market.

The Nutanix Kubernetes Platform (NKP) streamlines platform engineering by minimizing operational challenges and ensuring uniformity across various environments. It offers all the necessary elements for a production-ready Kubernetes setup within a fully integrated, turnkey framework. You can deploy it in public cloud settings, on-premises, or at edge locations, with or without the Nutanix Cloud Infrastructure. The platform is built from upstream CNCF projects that are not only fully integrated and validated but also easily replaceable, preventing vendor lock-in. It simplifies the management of complex microservices while improving observability and security. Additionally, it provides robust multi-cluster management features for your public cloud Kubernetes deployments without necessitating a shift to a different runtime. By harnessing the power of AI, it helps users maximize their Kubernetes experience through anomaly detection paired with root cause analysis, as well as an intelligent chatbot that offers best practices and fosters consistency in operations. This comprehensive approach enables teams to focus more on innovation rather than being bogged down by operational hurdles.

Kubiya is an innovative internal developer platform powered by AI that utilizes conversational technology to optimize DevOps workflows. By seamlessly connecting with existing tools and platforms, it enables developers to engage with their systems through natural language, significantly decreasing the time required for automation and boosting overall productivity. This platform features AI-driven assistants that can efficiently manage routine functions such as overseeing Jira queues, provisioning infrastructure, and applying just-in-time cloud permissions, thereby empowering engineering teams to concentrate on more strategic tasks. With its agentic-native architecture, Kubiya guarantees reliable and secure operations, adhering to rigorous enterprise security standards and compliance with corporate policies. Additionally, the platform integrates effortlessly into communication tools, including Slack and Microsoft Teams, offering a user-friendly conversational interface for task delegation and automation. As a result, Kubiya not only enhances efficiency but also fosters a more collaborative environment for development teams.

Oracle Cloud Marketplace serves as a digital hub where businesses can find an extensive array of third-party applications and services designed to operate on Oracle Cloud Infrastructure. This platform allows users to conveniently access software solutions that are fully compatible with Oracle Cloud services, featuring offerings like automated Terraform stacks, pre-configured ISV compute images, and containerized applications. Companies benefit from various flexible consumption models, including free options, Bring Your Own License (BYOL), and pay-as-you-go plans, allowing them to select the most suitable payment approach for their specific requirements. By facilitating automated, comprehensive solutions, Oracle Cloud Marketplace streamlines the deployment process, helping enterprises effectively scale their applications and improve overall operational efficiency. Ultimately, this marketplace enhances the user experience by providing a diverse selection of tools tailored to meet the evolving demands of modern businesses.

Amazon Managed Grafana is a comprehensive service designed to streamline the visualization and analysis of operational data on a large scale. This platform enables users to establish workspaces, which are isolated Grafana servers that can be automatically provisioned, configured, scaled, and maintained. These dedicated workspaces facilitate the visualization and analysis of operational data sourced from a variety of channels, including AWS services like Amazon CloudWatch, AWS X-Ray, and Amazon Managed Service for Prometheus, as well as external data providers. The service is fully integrated with AWS security features, ensuring adherence to corporate security policies. Furthermore, Amazon Managed Grafana allows for seamless migration from self-hosted Grafana systems, enabling users to keep their existing dashboards and settings intact. It also includes collaborative tools such as live dashboard viewing and modification, version control, and sharing options, which significantly boost team efficiency. Overall, Amazon Managed Grafana stands out by simplifying complex data operations while enhancing collaborative efforts within teams.

Observo AI is an innovative platform tailored for managing large-scale telemetry data within security and DevOps environments. Utilizing advanced machine learning techniques and agentic AI, it automates the optimization of data, allowing companies to handle AI-generated information in a manner that is not only more efficient but also secure and budget-friendly. The platform claims to cut data processing expenses by over 50%, while improving incident response speeds by upwards of 40%. Among its capabilities are smart data deduplication and compression, real-time anomaly detection, and the intelligent routing of data to suitable storage or analytical tools. Additionally, it enhances data streams with contextual insights, which boosts the accuracy of threat detection and helps reduce the occurrence of false positives. Observo AI also features a cloud-based searchable data lake that streamlines data storage and retrieval, making it easier for organizations to access critical information when needed. This comprehensive approach ensures that enterprises can keep pace with the evolving landscape of cybersecurity threats.

NVIDIA Cloud Functions (NVCF) is a serverless API tailored for deploying and managing AI tasks on GPUs, ensuring security, scalability, and dependable performance. It accommodates various access methods, including HTTP polling, HTTP streaming, and gRPC protocols, for interacting with workloads. Primarily, Cloud Functions is optimized for brief, preemptable tasks such as inferencing and model fine-tuning. Users can choose between two types of functions: "Container" and "Helm Chart," enabling them to customize functions according to their specific needs. Since workloads are transient and preemptable, it is crucial for users to save their progress diligently. Additionally, models, containers, helm charts, and other essential resources are stored and retrieved from the NGC Private Registry. To begin utilizing NVCF, users can refer to the quickstart guide for functions, which outlines a comprehensive workflow for establishing and launching a container-based function utilizing the fastapi_echo_sample container. This resource not only highlights the ease of setup but also encourages users to explore the full potential of NVIDIA’s serverless infrastructure.

100X is an advanced platform powered by artificial intelligence, designed to effectively troubleshoot intricate software systems by autonomously examining tickets, alerts, logs, metrics, traces, code, and knowledge in order to identify and resolve issues. It follows a multi-stage approach that includes establishing a detailed knowledge graph by connecting to your environment, thoroughly investigating each alert or support ticket received, dynamically querying telemetry data, and correlating signals across various systems to isolate specific problems backed by evidence. Furthermore, it recommends reliable solutions complete with pertinent context and continuously learns from every resolution by recording commands, fixes, and failure patterns identified by your team. With seamless integration capabilities with tools such as Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, 100X can be deployed within your cloud infrastructure, guaranteeing that all data is accessed, processed, and retained solely within your cloud environment. This fosters a secure and efficient troubleshooting process that adapts to evolving challenges in software management.

Cleric serves as an independent AI Site Reliability Engineer (SRE) that autonomously oversees, optimizes, and repairs software infrastructure without the need for human oversight. Acting as a collaborative AI partner, it seamlessly integrates with various existing tools, such as Kubernetes, Datadog, Prometheus, and Slack, to explore and diagnose production issues. By automatically managing alerts, Cleric enables engineers to dedicate more time to development rather than routine tasks. It efficiently evaluates systems simultaneously, providing insights in mere minutes, which would typically take hours to resolve manually. When faced with unfamiliar problems, Cleric formulates hypotheses and executes real-time queries with its integrated tools, only presenting conclusions once it is confident in its findings. With each investigation, Cleric enhances its capabilities by learning from actual outcomes and incidents. By the end of the first month, Cleric is equipped to manage approximately 20–30% of on-call responsibilities, empowering your team to prioritize problem-solving over monotonous alert triage. As a result, the overall efficiency and productivity of the engineering team can significantly improve.

Deductive AI is an innovative platform that transforms the way organizations address intricate system failures. By seamlessly integrating your entire codebase with telemetry data, which includes metrics, events, logs, and traces, it enables teams to identify the root causes of problems with remarkable speed and accuracy. This platform simplifies the debugging process, significantly minimizing downtime and enhancing overall system dependability. With its ability to integrate with your codebase and existing observability tools, Deductive AI constructs a comprehensive knowledge graph that is driven by a code-aware reasoning engine, effectively diagnosing root issues similar to a seasoned engineer. It rapidly generates a knowledge graph containing millions of nodes, revealing intricate connections between the codebase and telemetry data. Furthermore, it orchestrates numerous specialized AI agents to meticulously search for, uncover, and analyze the subtle indicators of root causes dispersed across all linked sources, ensuring a thorough investigative process. This level of automation not only accelerates troubleshooting but also empowers teams to maintain higher system performance and reliability.

Luciq is an advanced mobile observability platform powered by AI, tailored for app developers and enterprises, enabling them to effectively monitor, diagnose, and enhance mobile applications with ease. This comprehensive solution integrates bug reporting, crash analytics, session replay, and performance monitoring within a single SDK that accommodates Android, iOS, web, and hybrid applications. Users can collect extensive device logs, network traces, annotated screenshots, videos, and user feedback, while machine learning automatically correlates events and errors to prioritize issues based on their impact. By offering developers insights into user sessions where problems occurred, they can replicate defects through replay and expedite issue resolution via integrations with tools like JIRA, Slack, Zapier, and Zendesk. Luciq's “Agentic Mobile Observability” methodology not only highlights the most pressing issues but also identifies potential root causes and suggests remediation strategies, empowering teams to boost their efficiency, enhance application stability, and improve the overall user experience. Ultimately, this platform transforms the way teams approach mobile app development and maintenance, ensuring they stay ahead of potential challenges.

Ciroos is a platform designed to enhance Site Reliability Engineering (SRE) teams through AI integration, revolutionizing the approach to incident management by employing multi-agent AI to minimize repetitive tasks, identify anomalies promptly, and speed up both investigations and resolutions in intricate, multi-domain scenarios. This innovative AI SRE Teammate seamlessly connects with various telemetry and observability tools, ticketing systems, collaboration platforms, and cloud service providers, functioning effectively in both automated and manually initiated modes to diligently investigate alerts, link data from diverse sources, pinpoint root causes, and offer practical recommendations often prior to escalation. The AI agents within Ciroos create dynamic investigation strategies, evaluate evidence at a scale akin to human experts, and produce reports post-incident for ongoing enhancement. Additionally, the platform’s ability to correlate across different domains allows it to detect problems that affect a range of areas, including infrastructure, networking, applications, and security, thus providing a comprehensive solution for modern operational challenges. By bridging gaps in these domains, Ciroos not only streamlines workflows but also empowers teams to focus on strategic initiatives.

Growlink is a cutting-edge cultivation technology platform that consolidates real-time information, automation capabilities, and smart controls to enable growers to efficiently manage and automate various factors such as climate, irrigation, nutrient delivery, lighting, and crop steering from a single user-friendly dashboard. The platform features a cloud-based control engine that seamlessly connects environmental sensors and controllers, offering customizable rules, sophisticated control algorithms, predictive analytics, and remote access, empowering users to sustain optimal conditions, foresee potential problems, and make informed decisions to enhance yield, minimize waste, lower expenses, and boost operational efficiency. Additionally, Growlink provides essential tools for tracking operations, forecasting yields, ensuring compliance, and integrating with third-party hardware and systems, allowing for cohesive cultivation workflows, performance monitoring, and the effective scaling of growing operations. This comprehensive approach not only streamlines processes but also significantly enhances the overall productivity of agricultural practices.

CellWall's SiteWall offers a robust client-side security solution that identifies, tracks, manages, and documents the elements operating within users' web browsers. It compiles an inventory of both first-party and third-party JavaScript, as well as external resources, providers, browser APIs, network interactions, data exchanges, and their impact on performance. The tool provides insights through detailed provider profiles, session analysis, load-flow visualizations, and detection of anomalies and concerns, thereby highlighting the potential attack surface and vulnerabilities within the web software supply chain. Teams can enforce zero-trust principles on newly identified resources, decide which providers and scripts to allow or block, limit network destinations and geographical regions, and implement detailed browser permissions. By basing permissions on the behavior of observed resources, SiteWall minimizes the need for extensive manual policy adjustments. Continuous evidence is mapped to compliance standards such as PCI DSS, GDPR, and ISO 27001, and results can be exported as reports ready for audits. Specifically designed for application security, engineering, and compliance teams, this solution is essential for those requiring oversight of third-party JavaScript, protection during browser runtime, and reliable governance of client-side activities. Overall, SiteWall enhances the security framework by providing actionable insights that empower organizations to safeguard their web environments effectively.

Fundamentum is an adaptable IoT Platform as a Service (PaaS) that enables the remote control, updating, and monitoring of connected devices, offering a versatile base for IoT deployments. Comprising a suite of microservices, the platform features modular components that can be tailored and combined to meet the specific needs of various IoT projects, accommodating an infinite number of connected devices. It integrates essential elements such as IoT Edge, Connect, IoT Core, an ML/AI Engine, Insights, and DevSecOps, facilitating smooth device connectivity and management alongside advanced data analytics, secure communication, and comprehensive reporting. The platform's device management features encompass provisioning, security measures, firmware upgrades, and remote control capabilities, while user management includes adjustable roles, permissions, OAuth 2.0, and OpenID Connect for enhanced security. Furthermore, it streamlines data storage via a reliable architecture, seamless analytics integrations, and accessible APIs, with Insights offering robust support for dashboards, detailed reporting, and real-time data processing, ensuring users have the tools they need to make informed decisions. Ultimately, Fundamentum stands as a comprehensive solution for organizations looking to harness the power of IoT in an efficient and secure manner.

Skedler delivers a highly adaptable and user-friendly solution for reporting and alerting, ideal for organizations aiming to surpass customer service level agreements, ensure compliance, and enhance operational transparency for their stakeholders. You can automate reports derived from Elastic Stack and Grafana within just a few minutes. With the capability to generate visually appealing, precise PDF reports, your managers and clients will appreciate the convenience of not needing to log into dashboards. Instead, they can receive essential operational metrics and trends directly in their email inbox as PDF, CSV, Excel, or HTML reports. Skedler allows for swift automation of these reports, making it an efficient tool for engaging your stakeholders. Moreover, connecting Skedler to your Elastic Stack and Grafana is quick and straightforward, enabling you to impress stakeholders with remarkable reports in no time. Thanks to Skedler's intuitive no-code user interface, even those without technical expertise can craft visually striking reports and dependable alerts. Ultimately, Skedler empowers stakeholders to better visualize and comprehend data while showcasing your value through customizable templates, adaptable layouts, and timely notifications, ensuring your reporting needs are seamlessly met.

Enhance on-demand accessibility to production, development, and testing environments, facilitating superior innovation, accelerating application delivery, and optimizing the transition to production. Our team focuses on crafting and deploying cloud infrastructure tailored to meet your current and future business requirements. We excel in creating web-scale architectures characterized by load balancing, automatic scaling, self-healing capabilities, and cost efficiency. You will only incur costs for the resources you utilize, while still being equipped to handle demand surges. Adopting the Infrastructure as Code approach allows us to create infrastructure that is self-documenting, version-controlled, and automated. This enables you to gain valuable insights into your applications, pinpoint performance bottlenecks, comprehend resource needs, automatically adjust scaling when necessary, and notify relevant stakeholders. Additionally, we collaborate closely with your developers to refine and enhance your application's build and deployment pipeline, ensuring seamless integration and improved workflow. By leveraging these strategies, you can achieve a more agile and responsive development cycle.

Are you looking to create a marketplace, an online learning platform, or a membership site? Discover a variety of tools, integrations, workflows, and comprehensive guides to kickstart your project. You can explore various applications, identify alternatives, compare features, and provide your feedback. If you're interested in automating repetitive tasks, access a centralized hub for integrations from platforms like Zapier, Integromat, Automateio, and more, allowing you to compare pricing and functionalities. Delve into resources such as guides and tutorials offered by both the community and vendors. Share your expertise and knowledge, and tap into the collaborative spirit of the nocode community. Establish your profile, select your preferred tools, and showcase your tech stack to connect with others. Engaging with this vibrant community can foster innovation and inspire creativity in your endeavors.