Grafana Integrations

Oracle Cloud Marketplace acts as a centralized digital platform where organizations can discover a wide range of third-party applications and services optimized for Oracle Cloud Infrastructure. Users are able to access a variety of software solutions that seamlessly integrate with Oracle Cloud services, including offerings such as automated Terraform stacks, pre-configured ISV compute images, and containerized applications. This marketplace presents companies with multiple flexible consumption options, including free trials, Bring Your Own License (BYOL) models, and pay-as-you-go pricing, enabling them to select the payment method that best fits their individual needs. By providing automated and comprehensive solutions, Oracle Cloud Marketplace simplifies the deployment process, allowing businesses to efficiently scale their applications and enhance their overall operational effectiveness. In addition to these advantages, the marketplace continually evolves to ensure that it meets the dynamic requirements of modern enterprises, ultimately delivering a superior user experience through its diverse array of tools. As a result, organizations can stay agile and responsive in an ever-competitive landscape.

Amazon Managed Grafana is a robust service aimed at simplifying the visualization and analysis of large-scale operational data. This platform allows users to create isolated workspaces that consist of dedicated Grafana servers, which can be automatically set up, configured, scaled, and maintained with ease. These specialized workspaces enhance the ability to visualize and analyze operational data derived from various sources, including AWS services like Amazon CloudWatch, AWS X-Ray, and Amazon Managed Service for Prometheus, alongside data from external providers. The service incorporates AWS security features, ensuring compliance with organizational security standards. Additionally, migrating from self-hosted Grafana systems is made straightforward with Amazon Managed Grafana, allowing users to retain their existing dashboards and configurations. The platform also offers collaborative features such as real-time dashboard sharing and editing, version control, and enhanced sharing capabilities, thereby significantly improving team productivity. Ultimately, Amazon Managed Grafana distinguishes itself by not only easing the complexities of data management but also fostering enhanced collaboration among team members, making it an invaluable tool for organizations.

Observo AI is a cutting-edge platform designed specifically for the effective management of extensive telemetry data within security and DevOps sectors. By leveraging state-of-the-art machine learning methods and agentic AI, it streamlines the optimization of data, enabling businesses to process AI-generated insights in a way that is not only more efficient but also more secure and cost-effective. The platform asserts it can reduce data processing costs by more than 50% while enhancing incident response times by over 40%. Its features include intelligent data deduplication and compression, real-time anomaly detection, and the smart routing of data to appropriate storage or analytical frameworks. Furthermore, it enriches data streams with contextual insights, thereby increasing the precision of threat detection and minimizing false positives. Observo AI also provides a cloud-based searchable data lake that simplifies the processes of data storage and retrieval, facilitating easier access to essential information for organizations. This holistic strategy empowers enterprises to stay ahead of the constantly changing cybersecurity threat landscape, ensuring they are well-equipped to address emerging challenges. Through such innovations, Observo AI positions itself as a vital tool in the ongoing fight against cyber threats.

NVIDIA Cloud Functions (NVCF) serves as a specialized serverless API designed for the deployment and oversight of AI operations on GPUs, guaranteeing essential aspects like security, scalability, and reliable performance. The platform supports multiple access avenues, such as HTTP polling, HTTP streaming, and gRPC protocols, facilitating interactions with various workloads. NVCF is particularly well-suited for short-lived, preemptable tasks like inferencing and fine-tuning of models. Users have the flexibility to select from two distinct function types: "Container" and "Helm Chart," allowing for tailored customization according to individual requirements. Given that workloads are temporary and can be interrupted, it is vital for users to consistently save their progress. Furthermore, models, containers, helm charts, and other critical assets are managed within the NGC Private Registry for efficient storage and retrieval. To help users get started with NVCF, a quickstart guide for functions is available, detailing a thorough workflow for setting up and deploying a container-based function using the fastapi_echo_sample container. This guide not only emphasizes the simplicity of the setup process but also motivates users to delve deeper into the capabilities of NVIDIA’s serverless framework, thereby maximizing their experience and utilization of the platform. As users become familiar with NVCF, they can unlock new opportunities for innovation in AI applications.

100X is a cutting-edge platform driven by artificial intelligence, specifically engineered to adeptly troubleshoot complex software systems by autonomously analyzing tickets, alerts, logs, metrics, traces, code, and knowledge to detect and rectify issues. The platform employs a multi-phase methodology that entails creating a comprehensive knowledge graph by integrating with your environment, meticulously examining each alert or support ticket, dynamically querying telemetry data, and correlating signals from different systems to pinpoint distinct problems supported by clear evidence. Additionally, it offers reliable solution recommendations that come with relevant context and continuously evolves by learning from every resolution, documenting commands, fixes, and failure patterns identified by your team. With its seamless compatibility with tools like Datadog, Grafana, LaunchDarkly, Jenkins, Kafka, Redis, and Salesforce, 100X can be implemented within your cloud infrastructure, ensuring that all data is accessed, processed, and stored exclusively within your cloud environment. This not only promotes a secure and efficient troubleshooting process but also ensures adaptability to the ever-changing challenges faced in software management, ultimately enhancing the overall operational efficiency of your team.

Cleric functions as a self-sufficient AI Site Reliability Engineer (SRE) that independently monitors, enhances, and resolves issues in software infrastructure without requiring human intervention. This collaborative AI partner integrates smoothly with a range of existing tools like Kubernetes, Datadog, Prometheus, and Slack, allowing it to investigate and troubleshoot production problems effectively. By autonomously handling alerts, Cleric allows engineers to focus their efforts on development tasks instead of repetitive duties. It has the capability to assess multiple systems at once, delivering insights in just minutes—an endeavor that would normally take hours if done manually. When confronted with new challenges, Cleric generates hypotheses and conducts real-time queries using its built-in tools, sharing its conclusions only when it is certain of its results. Each investigation further refines Cleric's abilities by learning from real-world outcomes and incidents. After just one month, Cleric can take on around 20–30% of on-call duties, allowing your team to emphasize solving complex issues rather than dealing with routine alert management. Consequently, this not only enhances the overall productivity of the engineering team but also fosters a work environment where creativity and innovation can thrive more freely.

Deductive AI represents a groundbreaking solution that revolutionizes how organizations tackle complex system failures. By effortlessly merging your complete codebase with telemetry data—including metrics, events, logs, and traces—it empowers teams to swiftly and accurately pinpoint the underlying causes of issues. This platform streamlines the debugging process, significantly reducing downtime while boosting overall system reliability. By integrating seamlessly with your codebase and existing observability tools, Deductive AI creates an extensive knowledge graph powered by a code-aware reasoning engine, diagnosing root problems like an experienced engineer would. It quickly constructs a knowledge graph with millions of nodes, unveiling complex relationships between the codebase and telemetry data. Additionally, it deploys various specialized AI agents that diligently search for, discover, and analyze subtle indicators of root causes scattered across all interconnected sources, ensuring a meticulous examination process. This high level of automation not only expedites troubleshooting but also equips teams with the ability to sustain elevated system performance and reliability. Ultimately, Deductive AI not only enhances problem-solving efficiency but also transforms the overall approach to system management within organizations.

Skedler provides an exceptionally flexible and easy-to-use platform for reporting and alerting, making it a perfect choice for organizations that wish to exceed customer service level agreements, maintain compliance, and improve operational transparency for their stakeholders. In just a matter of minutes, you can automate reports sourced from Elastic Stack and Grafana. The platform's ability to produce aesthetically pleasing and accurate PDF reports allows managers and clients to avoid the hassle of logging into dashboards. Instead, they can conveniently receive vital operational metrics and trends directly via email in formats such as PDF, CSV, Excel, or HTML. By enabling the rapid automation of these reports, Skedler serves as an effective tool for engaging your stakeholders. Additionally, the process of connecting Skedler to your Elastic Stack and Grafana is both quick and uncomplicated, allowing you to deliver impressive reports to stakeholders in no time. With Skedler's user-friendly no-code interface, even those lacking technical skills can design visually captivating reports and reliable alerts. This empowers stakeholders to better visualize and understand data, while showcasing your capabilities through customizable templates, flexible layouts, and timely notifications, ultimately ensuring that your reporting needs are met with ease. Furthermore, the platform's versatility means it can adapt to the evolving needs of your organization, providing a comprehensive solution for all your reporting and alerting requirements.

Improve the on-demand accessibility of production, development, and testing environments to foster enhanced innovation, speed up application delivery, and streamline the transition to production. Our dedicated team specializes in designing and implementing cloud infrastructure that aligns with both your immediate and long-term business needs. We are proficient in developing web-scale architectures that feature load balancing, automatic scaling, self-healing functions, and cost-effectiveness. You will only pay for the resources you consume, while still being prepared to manage spikes in demand effectively. By embracing the Infrastructure as Code methodology, we create infrastructure that is inherently self-documenting, managed through version control, and automated, allowing you to gain crucial insights into your applications. This approach helps identify performance bottlenecks, understand resource requirements, automatically make scaling adjustments, and alert the necessary stakeholders. Furthermore, we work hand-in-hand with your development team to enhance and fine-tune your application's build and deployment pipeline, thus ensuring a smooth integration process and improved workflow. As a result of employing these innovative strategies, you will experience a more nimble and responsive development cycle, which can significantly benefit your overall productivity and project outcomes.

Are you aiming to launch a marketplace, an e-learning platform, or a site for memberships? Uncover a wide range of resources, tools, integrations, workflows, and detailed guides to help you initiate your venture. You can investigate various applications, find alternatives, assess features, and share your insights. Should you wish to streamline repetitive tasks, gain access to a unified hub for integrations from services like Zapier, Integromat, Automateio, and others, which enables you to weigh pricing and functionalities. Take advantage of valuable resources such as guides and tutorials provided by both the community and service providers. Contribute your knowledge and skills, and embrace the collaborative nature of the nocode community. Create your profile, choose your favorite tools, and display your tech stack to connect with like-minded individuals. Engaging with this energetic community not only encourages innovation but also sparks creativity in your projects, paving the way for new opportunities and partnerships. By sharing experiences and learning from one another, you can enhance your journey in this dynamic space.

Lens Autopilot, developed by Mirantis, enables DevOps engineers to design CI/CD pipelines that are specifically customized for your applications, development style, and methodologies. It offers real-time monitoring and alerting capabilities, ensuring that the status of clusters and resources is continuously updated, while also providing access to logs for efficient troubleshooting and error resolution. Additionally, Lens Autopilot proactively addresses security vulnerabilities and threats through its continuous monitoring and alerting features, which seamlessly integrate with platforms like Slack or Microsoft Teams. Users can consolidate all their logs and essential metrics into a single Grafana Loki dashboard for easy access. By combining the robust functionalities of Lens with Mirantis’ exceptional professional services, Lens Autopilot provides a fully managed ZeroOps solution for organizations seeking to enhance their application delivery on Kubernetes, thereby significantly boosting their return on investment. With a commitment to excellence, Mirantis confidently guarantees the achievement of these objectives with Lens Autopilot within a span of 12 months or less, ensuring organizations can optimize their operational efficiency and security posture.

Recognize and prioritize the most significant risks facing your business, utilizing actionable insights that facilitate informed decision-making. Ensure that your Kubernetes environment is reliably secured to achieve optimal availability. Learn from the experiences of others to effectively avoid typical mistakes. Take steps to mitigate risks proactively so that they do not develop into larger issues. Maintain thorough oversight of every layer of your infrastructure to remain well-informed. Keep a detailed inventory of containers, clusters, add-ons, and their interdependencies. Integrate insights from multiple cloud platforms and on-premises setups to create a comprehensive perspective. Receive prompt notifications about end-of-life (EOL) products and incompatible versions to maintain system currency. Eliminate the need for spreadsheets and custom scripts entirely. Chkk aims to empower developers to prevent incidents by drawing on the knowledge gained from others' experiences and steering clear of past mistakes. Through Chkk's collective learning technology, users can tap into a rich repository of curated information on known errors, failures, and disruptions faced by the Kubernetes community, which encompasses users, operators, cloud service providers, and vendors, thus ensuring that past issues are not repeated. By adopting this proactive methodology, organizations not only cultivate a culture of ongoing improvement but also significantly strengthen their system resilience, paving the way for a more reliable operational future.

HCL IntelliOps Event Management is a vital component of the Intelligent Full Stack Observability within the HCLSoftware Intelligent Operation ecosystem. This advanced AI-driven IT Event Management solution equips organizations with state-of-the-art features, including real-time topology-based alert correlation, machine learning-driven alert correlation, and effective noise reduction. Additionally, the product smoothly integrates with existing monitoring tools and IT service management software, facilitating prompt and effective issue resolution while enhancing overall operational efficiency.

It is vital for your Governance, Risk, and Compliance (GRC) program to be tailored to the unique requirements of your business. The Compyl platform equips your organization to effectively scale and refine its GRC processes, aligning seamlessly with your team's operational methods. This all-encompassing and flexible GRC solution is instrumental in reducing risk, guaranteeing compliance, and promoting organizational growth. Compliance teams frequently feel inundated and struggle to meet increasing demands. By automating labor-intensive and error-prone tasks, your staff can regain precious time to focus on more critical responsibilities. However, it is important to recognize that merely adhering to compliance standards is insufficient for managing organizational risks effectively. Gaining a clear understanding of your risk posture is essential for taking proactive actions and demonstrating progress in risk mitigation over time. Furthermore, functional and application silos can create significant risk gaps and blind spots that might jeopardize your efforts. Therefore, achieving a unified, integrated perspective on risk is essential for communicating its impacts and enhancing decision-making processes. Centralizing all compliance and risk management activities within a single cohesive platform can significantly improve the effectiveness of these crucial functions. By adopting this comprehensive approach, your organization can not only advance its risk management strategy but also cultivate a more resilient operational framework for the future. The importance of integrating various aspects of GRC cannot be overstated, as it leads to a more informed and agile organization prepared to tackle emerging challenges.