What Integrates with Prometheus?
Find out what Prometheus integrations exist in 2026. Learn what software and services currently integrate with Prometheus, and sort them by reviews, cost, features, and more. Below is a list of products that Prometheus currently integrates with:
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SAP Store
SAP
The SAP Store serves as a vast online marketplace where companies can find, test, and buy more than 3,000 applications, extensions, and services provided by SAP and its reliable partners. This platform presents a diverse range of solutions aimed at helping organizations tackle various business challenges, including enterprise software and tools for finance, human resources, and analytics, in addition to innovative applications and enhancements. Users have the option to explore both complimentary trials and premium offerings, ensuring smooth access to SAP and partner solutions that enhance business operations. With user-friendly browsing and search functionalities, businesses can easily locate, acquire, and manage their desired solutions while enjoying seamless integration with their existing SAP technologies. This convenience ultimately empowers organizations to optimize their workflows and drive efficiency across all departments. -
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Observo AI
Observo AI
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. -
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Cleric
Cleric
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. -
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Deductive AI
Deductive AI
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. -
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Ciroos
Ciroos
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. -
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Oracle Database
Oracle
Oracle's database offerings provide clients with cost-effective and high-efficiency options, including the renowned multi-model database management system, as well as in-memory, NoSQL, and MySQL databases. The Oracle Autonomous Database, which can be accessed on-premises through Oracle Cloud@Customer or within the Oracle Cloud Infrastructure, allows users to streamline their relational database systems and lessen management burdens. By removing the intricacies associated with operating and securing Oracle Database, Oracle Autonomous Database ensures customers experience exceptional performance, scalability, and reliability. Furthermore, organizations concerned about data residency and network latency can opt for on-premises deployment of Oracle Database. Additionally, clients who rely on specific versions of Oracle databases maintain full authority over their operational versions and the timing of any updates. This flexibility empowers businesses to tailor their database environments according to their unique requirements. -
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CloudFX
CloudFX
CloudFX empowers IT departments to provide a seamless, platform-centric IT-as-a-Service experience for end-users. In order to boost employee efficiency and enhance customer satisfaction, organizations must ensure a cohesive experience for both staff and clients. This approach fosters business agility and innovation, underscoring the necessity for IT to adopt a platform-based model that avoids the constraints of vendor lock-in. The CloudFX platform is designed with open standards and state-of-the-art technologies, offering self-service catalogs to minimize cloud sprawl and shadow IT issues. It features advanced billing and analytics capabilities that analyze, aggregate, and optimize costs while ensuring better governance and compliance through improved policies. Additionally, it streamlines the procurement process for IT products and services, provides diverse options for vendor-neutral IT solutions, and automates the management and tracking of orders. Furthermore, the platform supports unified SaaS personalization and management, along with SaaSOps for effective SaaS service oversight. Ultimately, CloudFX equips organizations with the tools necessary to thrive in a rapidly evolving digital landscape. -
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JMeter
Apache Software Foundation
Apache JMeter™ is an open source tool developed in pure Java, intended for conducting load tests to assess functional behavior and performance metrics. Initially created for web application testing, its capabilities have grown to encompass various testing functions. This versatile software can evaluate the performance of both static and dynamic resources, including web applications that are dynamic in nature. By simulating substantial loads on a single server or a network of servers, it allows users to examine the system's resilience and analyze its performance across different types of loads. As a result, Apache JMeter has become an essential tool for developers and testers seeking to ensure optimal performance and reliability in their applications. -
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Cloud Ops Group
Cloud Ops Group
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. -
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Ondat
Ondat
You can accelerate your development by using a storage platform that integrates with Kubernetes. While you focus on running your application we ensure that you have the persistent volumes you need to give you the stability and scale you require. Integrating stateful storage into Kubernetes will simplify your app modernization process and increase efficiency. You can run your database or any other persistent workload in a Kubernetes-based environment without worrying about managing the storage layer. Ondat allows you to provide a consistent storage layer across all platforms. We provide persistent volumes that allow you to run your own databases, without having to pay for expensive hosted options. Kubernetes data layer management is yours to take back. Kubernetes-native storage that supports dynamic provisioning. It works exactly as it should. API-driven, tight integration to your containerized applications. -
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Chkk
Chkk
Identify and prioritize your most critical business risks with actionable insights that can drive effective decision-making. Ensure your Kubernetes environment is consistently fortified for maximum availability. Gain knowledge from the experiences of others to sidestep common pitfalls. Proactively mitigate risks before they escalate into incidents. Maintain comprehensive visibility across all layers of your infrastructure to stay informed. Keep an organized inventory of containers, clusters, add-ons, and their dependencies. Aggregate insights from various clouds and on-premises environments for a unified view. Receive timely alerts regarding end-of-life (EOL) and incompatible versions to keep your systems updated. Say goodbye to spreadsheets and custom scripts forever. Chkk’s goal is to empower developers to avert incidents by learning from the experiences of others and avoiding previously established errors. Utilizing Chkk's collective learning technology, users can access a wealth of curated information on known errors, failures, and disruptions experienced within the Kubernetes community, which includes users, operators, cloud service providers, and vendors, thereby ensuring that history does not repeat itself. This proactive approach not only fosters a culture of continuous improvement but also enhances overall system resilience. -
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RAD Security
RAD Security
RAD Security develops distinctive behavioral profiles that capture your positive actions throughout the software supply chain, cloud-native infrastructure, workloads, and identity management to identify zero-day threats and enhance inputs for shift-left practices and posture management. This process involves recognizing malicious cloud-native identities and ensuring they are confined to the minimum level of access necessary. The risk assessment considers various factors such as runtime activities, excessive permissions, the status of identities (whether they are actively used or not), and their involvement in potential threat vectors. By integrating RBAC, misconfigurations, and image CVEs pertaining to the same workload with existing threat vectors, you can effectively prioritize risks. You can delve directly into the most concerning identities and examine detailed audit logs and their connections to other roles, service accounts, role bindings, and workloads. Leveraging Access IQ and AI-driven queries on Kubernetes API audit logs allows for a better understanding of how valid identities are utilized. Furthermore, the zero-trust Kubernetes RBAC policy generator simplifies the implementation of least privilege access, ensuring that security measures are both effective and manageable. This comprehensive approach not only enhances security posture but also streamlines operational efficiency across the entire cloud environment. -
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Google Cloud Observability
Google
Google Cloud Observability is designed to give you full visibility into the health and performance of your applications. Through the collection of key telemetry data, such as metrics, logs, and traces, the platform empowers you to proactively detect and address issues, keeping your applications reliable and available. With tools for monitoring, troubleshooting, and debugging, Google Cloud's observability services make it easier to analyze complex, distributed systems and respond to unexpected changes efficiently. The ability to view performance patterns and gain actionable insights helps you optimize your strategies and maintain seamless operations across your environment.