Business Software for Prometheus

Kagent is a versatile, open-source framework specifically designed for cloud-native AI agents, allowing teams to construct, deploy, and operate autonomous agents within Kubernetes clusters to streamline complex operational processes, troubleshoot cloud-native infrastructures, and oversee workloads with minimal human oversight. This framework empowers DevOps and platform engineers to develop intelligent agents capable of comprehending natural language, planning strategically, reasoning effectively, and executing a series of actions across Kubernetes environments by utilizing integrated tools and Model Context Protocol (MCP)-compatible integrations for various functions, including metric queries, pod log displays, resource management, and service mesh interactions. Additionally, Kagent facilitates communication between agents to orchestrate intricate workflows and includes observability features that enable teams to track and assess agent performance and behavior. Furthermore, its compatibility with multiple model providers, such as OpenAI and Anthropic, enhances its versatility and adaptability within diverse operational contexts.

Dopamine is a user-friendly AI agent platform that allows individuals to create, implement, and oversee intelligent AI agents tailored for specific tasks and workflows with ease and efficiency. By focusing on rapid deployment and straightforward processes, it enables users to develop operational AI "team members" in a matter of minutes instead of weeks, utilizing a visual agent builder, personalized instructions, and integrated connections to real-time data sources for immediate action. Users have the flexibility to merge various agents into cohesive workflows, adjust each agent's cognitive and behavioral parameters, and collaborate with colleagues or communities by sharing agents. This versatility makes Dopamine ideal for tasks such as information summarization, automating tedious processes, generating and modifying content, and managing tasks. The platform is designed to eliminate the common challenges and complexities associated with other agent and workflow builders, delivering tangible productivity improvements from the outset while enhancing collaborative efforts across different projects and minimizing the demand for intricate engineering solutions. In essence, Dopamine seeks to empower users by streamlining the process of leveraging AI for everyday tasks.

Sherlocks.ai operates as an autonomous AI Site Reliability Engineering (SRE) agent, tirelessly functioning around the clock to avert incidents, streamline root cause analysis, and hasten recovery processes without necessitating additional personnel. Distinct from conventional monitoring tools, Sherlocks integrates seamlessly as a cognitive ally within your Slack channels, promptly addressing alerts, and synthesizing logs, metrics, and traces from your entire infrastructure, providing context-sensitive root cause analysis in mere seconds instead of hours. Organizations utilizing Sherlocks experience a threefold increase in the speed of incident resolution, a 50% decrease in manual work, and achieve 20-30% savings on cloud expenses due to intelligent predictive scaling. The system requires no agent installation, as it effortlessly connects to your existing observability stack—such as OpenTelemetry, Prometheus, and Datadog—through a secure API. Additionally, it boasts SOC2 Type 2 certification and offers a self-hosted deployment option, ensuring comprehensive control over data management. Furthermore, the integration of Sherlocks enhances team collaboration, allowing for a more efficient response to incidents and improved operational insights.

PagerTree is a cloud-based platform for managing incidents and on-call alerts, created to assist teams in swiftly and effectively addressing operational challenges. By consolidating alerts from various monitoring tools, it ensures that the correct responders are notified automatically through customizable on-call schedules, layered escalation processes, and smart routing rules. The platform offers real-time notifications via push notifications, emails, SMS, voice calls, chatbots, and mobile applications, guaranteeing prompt delivery of incidents to the designated team members. With PagerTree, organizations can establish simple on-call rotations and enhance their systems with escalation policies while monitoring performance through integrated analytics dashboards. Its sophisticated routing and notification protocols enable teams to align alerts with specific criteria, reduce unnecessary noise, and focus on urgent incidents, which ultimately lessens alert fatigue and enhances the accuracy of responses. Moreover, PagerTree's user-friendly interface allows for easy adjustments to notification preferences, promoting a more efficient incident management workflow.

WunderGraph Hub serves as a comprehensive platform that empowers development teams to collaboratively design, manage, and enhance APIs within a well-defined workflow. Acting as a unifying layer for API development, it facilitates cooperation among teams working on distributed services, enabling them to design schemas, suggest modifications, and agree on API functionalities prior to the start of implementation. The platform features a visual design canvas that allows developers, API owners, and consumers to outline capabilities, model schema architectures, and engage in discussions about requirements in a collaborative environment. After a design is established, Hub automatically creates schema proposals and collects feedback from stakeholders through controlled workflows, guaranteeing that any proposed changes to the API undergo thorough review, approval, and documentation before deployment. This method fosters a transition from casual communication and disjointed documentation to a more organized collaboration process that emphasizes clear and traceable decision-making. Ultimately, WunderGraph Hub enhances the efficiency of API development by ensuring that all team members are aligned and informed throughout the project lifecycle.

Resolve production incidents and development issues with AI that understands your code, infrastructure, and telemetry — reducing MTTR by up to 80% and boosting engineering productivity by 50%. OpsWorker helps Software Developers, SREs, and DevOps Engineers reduce MTTR, resolve complex development issues, and manage high-incident environments. Through intelligent incident correlation, code-aware troubleshooting, and deep integration into your technical ecosystem, OpsWorker delivers actionable insights and autonomous remediation — ensuring resilient, high-performance operations across Kubernetes and Cloud workloads. Built as an AI SRE platform for modern AIOps, OpsWorker leverages AI Observability to analyze incidents across distributed systems, correlating signals from metrics, logs, traces, infrastructure state, and deployments to surface the most probable root cause within minutes. Designed with an EU-first approach, OpsWorker prioritizes data sovereignty, privacy, and enterprise-grade security while enabling engineering teams to investigate incidents faster and operate complex cloud-native environments with confidence. Recent platform capabilities include Resource Topology and Service Dependency mapping, giving engineers full visibility into upstream and downstream service interactions across HTTP, TCP, and gRPC workloads. OpsWorker now integrates with Grafana Alerting contact points and supports Bring Your Own LLM, allowing organizations to use their preferred AI models for investigations. Engineers can also enrich investigations with custom operational context, enabling deeper root-cause analysis for complex incidents. To reduce alert fatigue, OpsWorker delivers a Daily Diff Summary in Slack, highlighting meaningful changes in alerts and system behavior

Devtron serves as an AI-driven, Kubernetes-centric DevOps platform that aims to streamline and integrate the entire application delivery lifecycle, infrastructure oversight, and operational tasks within a singular control interface. By merging essential DevOps functionalities, including CI/CD, GitOps, security measures, observability, cost oversight, and debugging tools, it removes the hassle of juggling various disjointed tools and dashboards. This platform functions as a unified control layer for Kubernetes settings, empowering teams to deploy, monitor, manage, and resolve issues with applications across multi-cloud or on-premises clusters, all while ensuring comprehensive visibility and governance. Additionally, it features Kubernetes-native CI/CD pipelines with no-code workflows, orchestration across multiple environments, approval-based deployments, and reusable templates, facilitating quicker and more dependable software delivery while minimizing manual tasks. Thus, organizations can achieve greater efficiency and consistency in their development processes.

Cisco ThousandEyes is an innovative platform for network intelligence that equips organizations with profound insights into digital interactions across various environments, including the internet, cloud, and enterprise networks. Utilizing sophisticated monitoring and analytics capabilities, ThousandEyes enables businesses to identify, troubleshoot, and rectify performance challenges that affect essential applications, websites, and services. Its extensive array of tools delivers valuable information regarding network performance, application delivery, and user engagement, allowing organizations to maintain uninterrupted connectivity and enhance user experiences. This platform is widely embraced by Fortune 500 companies and SaaS providers alike, establishing itself as a reliable solution for navigating the intricacies of contemporary hybrid and multi-cloud landscapes. Additionally, ThousandEyes empowers IT teams by equipping them with the tools needed to proactively manage, optimize, and refine their digital infrastructures for improved operational efficiency.

D2iQ Enterprise Kubernetes Platform (DKP) Enterprise Kubernetes Platform: Run Kubernetes Workloads at Scale D2iQ Kubernetes Platform (DKP): Adopt, expand, and enable advanced workloads across any infrastructure, whether on-prem, on the cloud, in air-gapped environments, or at the edge. Solve the Toughest Enterprise Kubernetes Challenges Accelerate the journey to production at scale, DKP provides a single, centralized point of control to build, run, and manage applications across any infrastructure. * Enable Day 2 Readiness Out-of-the-Box Without Lock-In * Simplify and Accelerate Kubernetes Adoption * Ensure Consistency, Security, and Performance * Expand Kubernetes Across Distributed Environments * Ensure Fast, Simple Deployment of ML and Fast Data Pipeline * Leverage Cloud Native Expertise

Kubernetes, cloud, and container security that closes loop from source to finish Find vulnerabilities and prioritize them; detect and respond appropriately to threats and anomalies; manage configurations, permissions and compliance. All activity across cloud, containers, and hosts can be viewed. Runtime intelligence can be used to prioritize security alerts, and eliminate guesswork. Guided remediation using a simple pull request at source can reduce time to resolution. Any activity in any app or service, by any user, across clouds, containers and hosts, can be viewed. Risk Spotlight can reduce vulnerability noise by up 95% with runtime context. ToDo allows you to prioritize the security issues that are most urgent. Map production misconfigurations and excessive privileges to infrastructure as code (IaC), manifest. A guided remediation workflow opens a pull request directly at source.

HAProxy Enterprise, the industry's most trusted software load balancer, is HAProxy Enterprise. It powers modern application delivery at all scales and in any environment. It provides the highest performance, observability, and security. Load balance can be determined by round robin or least connections, URI, IP addresses, and other hashing methods. Advanced decisions can be made based on any TCP/IP information, or HTTP attribute. Full logical operator support is available. Send requests to specific application groups based on URL, file extension, client IP, client address, health status of backends and number of active connections. Lua scripts can be used to extend and customize HAProxy. TCP/IP information and any property of the HTTP request (cookies headers, URIs, etc.) can be used to maintain users' sessions.

Meet the Galileo Suite: a better way to monitor and measure the health of your environment. It automatically visualizes your asset relationships, analyzes your device health, and displays it in a single view so you can quickly remediate issues and get on with your day. Join the smart IT teams that rely on the Galileo Suite to make smarter, faster decisions to keep their systems running optimally and their business growing. Full-Stack Monitoring and Visibility. Reimagined. From basic monitoring to immersive 3D exploration, identify and resolve your IT issues faster than ever with the Galileo Suite. Try Galileo for 🆓 FREE 🆓 today.

Coralogix is the most popular stateful streaming platform, providing engineering teams with real-time insight and long-term trend analysis without relying on storage or indexing. To manage, monitor, alert, and manage your applications, you can import data from any source. Coralogix automatically narrows the data from millions of events to common patterns, allowing for faster troubleshooting and deeper insights. Machine learning algorithms constantly monitor data patterns and flows among system components and trigger dynamic alarms to let you know when a pattern is out of the norm without the need for static thresholds or pre-configurations. Connect any data in any format and view your insights anywhere, including our purpose-built UI and Kibana, Grafana as well as SQL clients and Tableau. You can also use our CLI and full API support. Coralogix has successfully completed the relevant privacy and security compliances by BDO, including SOC 2, PCI and GDPR.

DevSecOps Next Generation - Securing Your Binaries. Identify security flaws and license violations early in development and block builds that have security issues before deployment. Automated and continuous auditing and governance of software artifacts throughout the software development cycle, from code to production. Additional functionalities include: - Deep recursive scanning components, drilling down to analyze all artifacts/dependencies and creating a graph showing the relationships between software components. - On-Prem or Cloud, Hybrid, Multi-Cloud Solution - An impact analysis of how one issue in a component affects all dependent parts with a display chain displaying the impacts in a component dependency diagram. - JFrog's vulnerability database is continuously updated with new component vulnerabilities data. VulnDB is the industry's most comprehensive security database.

Enhance the engagement of your online learners with BigBlueButton, a robust web conferencing platform specifically tailored for virtual education. If you are in search of a reliable solution to facilitate remote teaching, BigBlueButton enables instantaneous sharing of audio, video, slides, chat, and screen content. The platform fosters student interaction through features like emoji sharing, polling, and breakout rooms, creating a dynamic learning environment. It’s essential that synchronous learning tools seamlessly integrate with your learning management system (LMS). Notably, platforms like Instructure, Schoology, Jenzabar, and D2L come equipped with native BigBlueButton integration, while Moodle and Sakai offer plugins for enhanced compatibility. Additionally, BigBlueButton adheres to learning tools interoperability (LTI) 1.0 standards, ensuring broad usability across various educational settings. Supported by a global community of developers and commercial entities, BigBlueButton is committed to providing an exceptional web conferencing experience for online education, making it a top choice for educators worldwide. Thus, whether you are teaching a small group or a large class, BigBlueButton is equipped to meet your online teaching needs effectively.

ScyllaDB serves as an ideal database solution for applications that demand high performance and minimal latency, catering specifically to data-intensive needs. It empowers teams to fully utilize the growing computing capabilities of modern infrastructures, effectively removing obstacles to scaling as data volumes expand. Distinct from other database systems, ScyllaDB stands out as a distributed NoSQL database that is completely compatible with both Apache Cassandra and Amazon DynamoDB, while incorporating significant architectural innovations that deliver outstanding user experiences at significantly reduced costs. Over 400 transformative companies, including Disney+ Hotstar, Expedia, FireEye, Discord, Zillow, Starbucks, Comcast, and Samsung, rely on ScyllaDB to tackle their most challenging database requirements. Furthermore, ScyllaDB is offered in various formats, including a free open-source version, a fully-supported enterprise solution, and a fully managed database-as-a-service (DBaaS) available across multiple cloud platforms, ensuring flexibility for diverse user needs. This versatility makes it an attractive choice for organizations looking to optimize their database performance.

Massive amounts data can be moved as messages between services, applications and systems at any one time. If an application isn’t available or a service interruption occurs, messages and transactions may be lost or duplicated. This can cost businesses time and money. IBM has refined IBM MQ over the past 25 years. MQ allows you to hold a message in a queue until it is delivered. MQ moves data once, even file data, to avoid competitors delivering messages twice or not at the right time. MQ will never lose a message. IBM MQ can be run on your mainframe, in containers, in public or private clouds or in containers. IBM offers an IBM-managed cloud service (IBM MQ Cloud), hosted on Amazon Web Services or IBM Cloud, as well as a purpose-built Appliance (IBM MQ Appliance), to simplify deployment and maintenance.

Establishing a cohesive logging framework is essential for ensuring that log data is both accessible and functional. Unfortunately, many current solutions are inadequate; traditional tools do not cater to the demands of modern cloud APIs and microservices, and they are not evolving at a sufficient pace. Fluentd, developed by Treasure Data, effectively tackles the issues associated with creating a unified logging framework through its modular design, extensible plugin system, and performance-enhanced engine. Beyond these capabilities, Fluentd Enterprise also fulfills the needs of large organizations by providing features such as Trusted Packaging, robust security measures, Certified Enterprise Connectors, comprehensive management and monitoring tools, as well as SLA-based support and consulting services tailored for enterprise clients. This combination of features makes Fluentd a compelling choice for businesses looking to enhance their logging infrastructure.

Do you struggle with providing access to large data sets that are rapidly growing or enabling distributed content-based uses? Tape is cost-effective, but data is not always available and tape can be difficult to manage. Public cloud can present the challenge of unpredictable, compounding recurring costs and inability to meet privacy and performance requirements. DataCore Swarm is an on-premises object storage system that simplifies the process of managing, storing, and protecting data. It also allows S3/HTTP access for any application, device, and end-user. Swarm transforms your data archive to a flexible, immediately accessible content library that allows remote workflows, on demand access, and massive scaling.

Marathon serves as a robust container orchestration platform that integrates seamlessly with Mesosphere’s Datacenter Operating System (DC/OS) and Apache Mesos, ensuring high availability through its active/passive clustering and leader election mechanism, which guarantees continuous uptime. It supports multiple container runtimes, offering first-class integration for Mesos containers utilizing cgroups as well as Docker, making it adaptable to various development environments. Additionally, Marathon facilitates the deployment of stateful applications by allowing persistent storage volumes to be linked to your apps, which is particularly beneficial for running databases such as MySQL and Postgres with storage managed by Mesos. The platform boasts an intuitive and powerful user interface, along with a range of service discovery and load balancing options to suit diverse needs. Health checks are implemented to monitor application performance via HTTP or TCP checks, ensuring reliability. Users can also set up event subscriptions by providing an HTTP endpoint to receive notifications, which can aid in integrating with external load balancers. Lastly, metrics can be queried in JSON format at the /metrics endpoint, while also being capable of integration with popular systems like Graphite, StatsD, DataDog, or scraped using Prometheus, allowing for comprehensive monitoring and analysis of application performance. This combination of features positions Marathon as a versatile tool for managing containerized applications effectively.

Nobl9 Service level objectives platform converts your reliability goals into automatic action. Nobl9 is a platform that helps organizations set and understand their reliability goals. You can ensure reliable and balanced performance by monitoring the performance of your systems. The platform gathers metrics from all your existing monitoring systems and calculates the performance. SLOs can be defined in an expressive SLOs as-code language to enable automated actions when they are at risk. Nobl9 facilitates cross-team collaboration between various stakeholders to improve and maintain the reliability and efficiency of your service. Nobl9 historical and real-time reports provide clear data-driven solutions to critical questions such as "should we concentrate on features or technical debt?" or "are we wasting too much money on cloud resources?" By using the shared language SLOs, you can achieve the right balance between speed, safety, spend, and speed.

Empower individuals to explore and analyze streaming data effectively. By sharing, documenting, and organizing your data, you can boost productivity by as much as 95%. Once you have your data, you can create applications tailored for real-world use cases. Implement a security model focused on data to address the vulnerabilities associated with open source technologies, ensuring data privacy is prioritized. Additionally, offer secure and low-code data pipeline functionalities that enhance usability. Illuminate all hidden aspects and provide unmatched visibility into data and applications. Integrate your data mesh and technological assets, ensuring you can confidently utilize open-source solutions in production environments. Lenses has been recognized as the premier product for real-time stream analytics, based on independent third-party evaluations. With insights gathered from our community and countless hours of engineering, we have developed features that allow you to concentrate on what generates value from your real-time data. Moreover, you can deploy and operate SQL-based real-time applications seamlessly over any Kafka Connect or Kubernetes infrastructure, including AWS EKS, making it easier than ever to harness the power of your data. By doing so, you will not only streamline operations but also unlock new opportunities for innovation.

Achieve precise visibility and policy application across every data endpoint in your system. This solution is tailored to facilitate your infrastructure-as-code processes and orchestration seamlessly. It possesses the ability to dynamically adjust to your workloads while maintaining sub-millisecond response times. Integration with your existing tools is effortless and requires no modifications to your applications. Strengthen your cloud security by implementing detailed data access policies and extending a Zero Trust approach to the data cloud. Safeguard your organization against potential data breaches, thereby enhancing customer trust and delivering reassurance. Designed to address the specific performance, deployment, and availability hurdles associated with the data cloud, Cyral provides a comprehensive view of your data ecosystem. Cyral’s lightweight, stateless data cloud sidecar acts as an interception service that offers real-time insights into all activities within the data cloud and ensures detailed access controls. Its high performance and scalability allow for efficient interception, effectively preventing threats and unauthorized access to your data that might otherwise remain unnoticed. In a rapidly evolving digital landscape, having such robust security measures in place is crucial for maintaining the integrity of your organization's data.

Using OpenEBS in conjunction with Kubera is the optimal solution for storage needs in Kubernetes environments. OpenEBS stands out as the leading open source storage option for Kubernetes, recognized for its speed and efficiency. Kubera enhances OpenEBS Mayastor by providing a user-friendly graphical interface, along with APIs, automatic checks, configuration options, Active Directory authentication, built-in performance benchmarks, and additional operators to streamline upgrades and various other scenarios. Available at no cost, Kubera is offered by MayaData, which also provides round-the-clock support to help customers minimize operational expenses and simplify management. Kubera Propel, a cloud-native declarative data plane crafted in Rust, is built upon the foundational OpenEBS Mayastor technology. This innovative platform integrates cutting-edge technologies such as NVMe, SPDK, and new storage capabilities emerging within the Linux kernel. Independent benchmarks have demonstrated that OpenEBS, when governed by Kubera Propel, achieves remarkably low latency performance for databases and various workloads on Kubernetes, making it an excellent choice for developers and organizations alike. This combination not only enhances performance but also addresses the increasing demand for efficient and reliable storage solutions in modern computing environments.

Reduce your cloud expenses, enhance security, and boost developer efficiency. Why waste funds on cloud providers? Our solution allows you to monitor your expenditures and implement straightforward, machine learning-driven strategies to cut costs. Explore our assortment of over 60 applications available in the AWS Marketplace, designed for easy deployment at the most competitive prices. Safeguard your cloud infrastructure and efficiently manage EC2 instance updates across various regions through a unified interface. Our intuitive dashboard enables you to analyze and optimize your AWS spending thoroughly. It automatically identifies and eliminates unused AWS resources to help lower costs. Benefit from ongoing machine learning assessments to continually minimize cloud expenses. Instead of focusing on building complex application stacks, utilize our pre-configured, secure images available right off the shelf. This way, you can focus more on coding rather than getting caught up in operations. Additionally, our solution scans your AWS environment for security vulnerabilities, providing assistance in mitigating risks. With the capability to patch servers across multiple regions from one centralized dashboard, managing your cloud infrastructure has never been easier.