Business Software for Grafana Cloud

Ozone platform allows enterprises to quickly and securely ship modern applications. Ozone eliminates the need to manage too many DevOps tools, making it easy to deploy applications on Kubernetes. Integrate all your existing DevOps tools to automate your application delivery process. Automated pipeline workflows make deployments faster and allow for on-demand infrastructure management. Enforce compliance policies and governance for app deployments at scale to prevent business losses. One pane of glass, where engineering, DevOps, and security teams can collaborate on app releases in realtime.

In the modern interconnected landscape, effective system integration has become a crucial requirement. However, businesses continue to face challenges in linking systems that use various architectural styles, including microservices and centralized Enterprise Service Buses (ESBs), especially within intricate environments. This is where YANTRA Connect comes into play; it is an API-driven, hybrid enterprise commerce integration platform specifically created to facilitate the integration of highly complex enterprise systems, regardless of their underlying architecture. Essentially, it offers seamless any-to-any connectivity, transforming the integration process for organizations. This flexibility empowers businesses to streamline their operations and enhance their overall efficiency.

M3 stands out as the ideal selection for Cloud Native enterprises that aim to enhance their Prometheus-based monitoring frameworks. Serving as a Prometheus Remote Storage solution, M3 boasts complete compatibility with PromQL, ensuring seamless integration. Initially created at Uber, M3 was designed to offer comprehensive insights into the company's operations, microservices, and infrastructure. Its remarkable capability to scale horizontally allows M3 to function as a unified storage solution for diverse monitoring scenarios. The system maintains data integrity through three replicas and employs quorum reads and writes for consistency. M3 has demonstrated its effectiveness in production environments, managing to ingest over one billion data points every second and facilitating more than two billion data point reads in the same timeframe. Additionally, it is open-sourced under the Apache 2 license and is supported by a vibrant and engaged community, which contributes to its ongoing development and improvement. This makes M3 not just a robust solution, but also a collaborative effort that continues to evolve.

Graphite is a robust monitoring solution suitable for both budget-friendly hardware and cloud environments, making it an attractive choice for various teams. Organizations utilize Graphite to monitor the performance metrics of their websites, applications, business services, and server networks effectively. This tool initiated a new wave of monitoring technologies, simplifying the processes of storing, retrieving, sharing, and visualizing time-series data. Originally developed in 2006 by Chris Davis while working at Orbitz as a side project, Graphite evolved into their core monitoring solution over time. In 2008, Orbitz made the decision to release Graphite under the open-source Apache 2.0 license, broadening its accessibility. Many prominent companies have since integrated Graphite into their production environments to oversee their e-commerce operations and strategize for future growth. The data collected is processed through the Carbon service, which subsequently stores it in Whisper databases for long-term retention and analysis, ensuring that key performance indicators are always available for review. This comprehensive approach to monitoring empowers organizations to make data-driven decisions while scaling their operations.

QuestDB is an advanced relational database that focuses on column-oriented storage optimized for time series and event-driven data. It incorporates SQL with additional features tailored for time-based analytics to facilitate real-time data processing. This documentation encompasses essential aspects of QuestDB, including initial setup instructions, comprehensive usage manuals, and reference materials for syntax, APIs, and configuration settings. Furthermore, it elaborates on the underlying architecture of QuestDB, outlining its methods for storing and querying data, while also highlighting unique functionalities and advantages offered by the platform. A key feature is the designated timestamp, which empowers time-focused queries and efficient data partitioning. Additionally, the symbol type enhances the efficiency of managing and retrieving frequently used strings. The storage model explains how QuestDB organizes records and partitions within its tables, and the use of indexes can significantly accelerate read access for specific columns. Moreover, partitions provide substantial performance improvements for both calculations and queries. With its SQL extensions, users can achieve high-performance time series analysis using a streamlined syntax that simplifies complex operations. Overall, QuestDB stands out as a powerful tool for handling time-oriented data effectively.

Wallaroo streamlines the final phase of your machine learning process, ensuring that ML is integrated into your production systems efficiently and rapidly to enhance financial performance. Built specifically for simplicity in deploying and managing machine learning applications, Wallaroo stands out from alternatives like Apache Spark and bulky containers. Users can achieve machine learning operations at costs reduced by up to 80% and can effortlessly scale to accommodate larger datasets, additional models, and more intricate algorithms. The platform is crafted to allow data scientists to swiftly implement their machine learning models with live data, whether in testing, staging, or production environments. Wallaroo is compatible with a wide array of machine learning training frameworks, providing flexibility in development. By utilizing Wallaroo, you can concentrate on refining and evolving your models while the platform efficiently handles deployment and inference, ensuring rapid performance and scalability. This way, your team can innovate without the burden of complex infrastructure management.

Selector’s software-as-a-service leverages machine learning and natural language processing to deliver self-service analytics that facilitate immediate access to actionable insights, significantly decreasing mean time to resolution (MTTR) by as much as 90%. This innovative Selector Analytics platform harnesses artificial intelligence and machine learning to perform three critical functions, equipping network, cloud, and application operators with valuable insights. It gathers a wide array of data—including configurations, alerts, metrics, events, and logs—from diverse and disparate data sources. For instance, Selector Analytics can extract data from router logs, device performance metrics, or configurations of devices within the network. Upon gathering this information, the system normalizes, filters, clusters, and correlates the data using predefined workflows to generate actionable insights. Subsequently, Selector Analytics employs machine learning-driven data analytics to evaluate metrics and events, enabling automated detection of anomalies. In doing so, it ensures that operators can swiftly identify and address issues, enhancing overall operational efficiency. This comprehensive approach not only streamlines data processing but also empowers organizations to make informed decisions based on real-time analytics.

Embark on a seamless cloud-native journey with NexClipper! Our managed Prometheus service simplifies the observability process for Kubernetes and hybrid environments, allowing you to relax as we handle the complexities. Enjoy a hassle-free experience with our migration and management solutions tailored for cloud-native ecosystems. While we prioritize simplicity, we never compromise on security or scalability, ensuring that your solution evolves alongside your business needs. With all the essential features at your fingertips, you can focus on growth without the burden of intricate setups. Take advantage of a managed service that leverages the strengths of the open-source community, removing the necessity for custom architectures. NexClipper serves as your gateway to an expansive Prometheus ecosystem, backed by proven solutions and our own innovative projects. Utilize the technology you are familiar with, and let us take care of the heavy lifting for you, creating an efficient and effective monitoring experience!

Designed by engineers specifically for engineers, our Prometheus monitoring solution is incredibly simple to set up, configure, and start transmitting metrics. We manage the scaling of your Prometheus infrastructure, so you can concentrate on your work without any concerns. With our service, your data is stored long-term with triple redundancy, allowing you to leverage insights without the burden of database management. You’ll receive automatic updates and plugins, ensuring your Prometheus and Grafana stack remains current without any additional effort on your part. Everything necessary for effective management of your Prometheus metrics is at your disposal. We prioritize your autonomy, steering clear of vendor lock-in, and you can obtain a complete data export whenever you need it. This approach combines the advantages of an open-source solution with the reliability and security of a SaaS platform. We ensure your data is securely backed up with threefold redundancy and stored safely for a full year. Scale effortlessly, as we take care of all the complexities for you, and rest assured that Prometheus specialists are ready to assist you around the clock. In this way, you can consistently rely on expert support whenever you need it.

Calisti offers robust security, observability, and traffic management solutions tailored for microservices and cloud-native applications, enabling administrators to seamlessly switch between real-time and historical data views. It facilitates the configuration of Service Level Objectives (SLOs), monitoring burn rates, error budgets, and compliance, while automatically scaling resources through GraphQL alerts based on SLO burn rates. Additionally, Calisti efficiently manages microservices deployed on both containers and virtual machines, supporting a gradual migration from VMs to containers. By applying policies uniformly, it reduces management overhead while ensuring that application Service Level Objectives are consistently met across Kubernetes and virtual machines. Furthermore, with Istio releasing updates every three months, Calisti incorporates its own Istio Operator to streamline lifecycle management, including features for canary deployments of the platform. This comprehensive approach not only enhances operational efficiency but also adapts to evolving technological advancements in the cloud-native ecosystem.

Worldr provides robust protection for the data you share through Microsoft Teams, guarding it against external threats and preventing unauthorized organizations from accessing your most critical digital information. It is versatile enough to operate in both cloud and on-premise environments, and its streamlined architecture can be implemented within minutes, accommodating organizations of any scale. By maintaining complete ownership of your data, you ensure that no third party, including Microsoft, has access to it. All messages, user information, and metadata are securely stored in a database that features a transparent encryption layer, with encryption keys securely managed in Hashicorp Vault. You have the flexibility to store your data in any location worldwide, adhering to compliance and regulatory standards while fulfilling legal requirements. Additionally, Worldr ensures that you meet industry-specific regulations regarding data transfer and processing, helping you comply with the mandates set by various nations to uphold data sovereignty effectively. This comprehensive approach not only enhances security but also builds trust with your stakeholders by demonstrating a commitment to data protection.

HPE OneView is a comprehensive IT infrastructure management solution that streamlines IT operations through automation, simplifying the management of computing, storage, and networking lifecycles. By transitioning to a software-defined infrastructure, organizations can leverage automation to enhance their modern data centers, transforming servers, storage, and networking for optimal efficiency. This platform employs a software-defined methodology to oversee IT infrastructure, featuring efficient workflow automation, a user-friendly dashboard, and a robust ecosystem of partners. The intelligence embedded in the software supports automated provisioning with consistent templates, ensuring high reliability and control, which subsequently reduces operating costs. With HPE OneView, users can effortlessly provision and manage physical infrastructure through software-defined templates and APIs, facilitating the automation of configuration and lifecycle operations. By adopting IT infrastructure automation, businesses can not only streamline their operations but also significantly boost employee productivity in the process. Ultimately, HPE OneView empowers organizations to achieve greater agility and responsiveness in their IT environments.

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.