Jaeger Integrations

PageDNA is a web-to-print (W2P) and print procurement platform that gives organizations and print providers a branded online ordering portal for print, signage, apparel, promo items, kits, and more. Replace email/spreadsheet ordering with a modern print storefront that standardizes products, reduces errors, and speeds fulfillment. 🚀 Launch. We don’t just sell software - we deliver a fully built, branded storefront with a proven implementation process designed to drive adoption and ROI. ⚙️ Automate. Our platform removes painful manual steps across ordering, approvals, and fulfillment - whether you're managing print, signage, apparel, or all of the above. 🏆 Succeed. Our U.S.-based team of print industry experts earns rave reviews by helping you hit your goals - not just go live. Launch. Automate. Succeed. That’s PageDNA.

Quickly automate your performance testing, analysis, and reporting, and get rid of all the manual tasks your developers hate. Maintain product quality and reduce the cognitive load of your developers. That’s what agile environments need. Designed to support a large number of teams in complex agile environments with just a limited number of performance engineers. Standardize performance test way of working enterprise-wide. Share performance testing knowledge with any team, working on any project, at any time – embedding performance testing in your developer culture, and delivering better websites and services. Perfana allows teams to validate the performance of their software not just before going to production, but with every build effortlessly. Our plugin integrates with all popular CI servers and enables each team to validate the performance with every build or release.

Troubleshoot performance bottlenecks and errors within your microservices. Correlate root causes across traces, logs, and metrics. Cut your OpenTelemetry traces cost with Aspecto built-in remote sampling. How OTel data is visualized impacts your troubleshooting abilities. Go from a high-level overview to the very last detail with best-in-class visualization. Correlate logs and traces. From logs to their matched traces and back with one click. Never lose context and resolve issues faster. Use filters, free-text search, and groups to search your trace data and quickly pinpoint where in your system the problem is occurring. Cut your costs by sampling only the data you need. Sample traces based on languages, libraries, routes, and errors. Set data privacy rules to hide sensitive fields within trace data, specific routes, or anywhere else. Connect your day-to-day tools with your workflow. Logs, error monitoring, external events API, and more.

Plano is an AI-native delivery infrastructure platform designed to help organizations build, deploy, and manage agentic applications more efficiently. The platform provides a unified data plane that handles essential AI infrastructure tasks such as agent routing, orchestration, observability, guardrails, and model management. Developers can connect to multiple large language models through a single API while maintaining centralized access controls and operational consistency. Plano supports any programming language or AI framework, allowing teams to integrate it into existing development workflows without vendor lock-in. The platform also provides rich tracing and monitoring capabilities that help teams analyze agent behavior and improve performance over time. By offloading infrastructure complexity, Plano enables developers to focus on creating intelligent agent experiences and accelerating production deployment.

​OpsVerse's ObserveNow is a fully managed observability platform that integrates logs, metrics, distributed traces, and application performance monitoring into a single solution. Built on open source tools, ObserveNow offers rapid deployment, enabling users to start observing their infrastructure within minutes without extensive engineering effort. It supports deployment across various environments, including public clouds, private clouds, or on-premises, and ensures data compliance by allowing data to remain within the user's network. Features include pre-configured dashboards, alerts, anomaly detection, and workflow-based auto-remediation, all aimed at reducing the mean time to detect and the mean time to resolve issues. Additionally, ObserveNow offers a private SaaS option, providing the benefits of SaaS within the user's network or cloud, and operates at a fraction of the cost of traditional observability solutions.

Tracetest is an open source testing tool that enables developers to create and run end-to-end and integration tests by leveraging OpenTelemetry traces. It allows users to validate not only the final outcomes but also every step in the workflow, ensuring that each component in a distributed system behaves as expected. Tracetest integrates seamlessly with existing testing tools like Cypress, Playwright, k6, and Postman, enhancing testability and visibility without requiring code changes. By utilizing trace data, Tracetest helps identify issues such as incorrect service interactions or performance bottlenecks that might not be apparent with traditional testing methods. It supports integration with various observability solutions and can be incorporated into CI/CD pipelines for continuous testing. Tracetest also offers synthetic monitoring capabilities, allowing for proactive detection of performance issues before they impact users.

NudgeBee is an AI Agents and Agentic Workflow platform built for SRE, CloudOps, and DevOps teams. It combines pre-built AI Assistants for incident troubleshooting, cloud cost optimization, and Kubernetes operations with a visual no-code Workflow Builder for custom automation. NudgeBee's AI engine auto-investigates alerts using a live semantic Knowledge Graph, grounded in your actual infrastructure topology. It queries data in place from existing tools (Prometheus, Datadog, Grafana, Loki) with zero data ingestion. The Workflow Builder supports 20+ action categories, native AWS/Azure/GCP CLI nodes, A2A and MCP protocol support, and human-in-the-loop approval gates. 49+ integrations. Enterprise-ready with RBAC, audit trails, BYOM (Bring Your Own Model), and self-hosted deployment. SOC-2 Type II and ISO 27001 compliant.

Hyground is an AI-powered DevOps and SRE co-pilot — not a chatbot wrapper, but a full-stack operational intelligence system that runs inside the customer's Kubernetes cluster with no data egress. The agent connects to 21+ enterprise systems and investigates incidents across logs, metrics, traces, and K8s events. Engineers ask questions in plain language and get answers grounded in their own data — no new query languages to learn. AutoRCA turns an alert webhook into an autonomous root-cause investigation, then posts findings back to Slack or Teams. Investigation starts the instant an alert fires, not when an engineer wakes up. Customers report up to 85% MTTR reduction. Built on Google's Agent Development Kit, Hyground uses a multi-agent architecture and learns from your infrastructure over time. Resolved incidents extend the knowledge base, so runbooks stay current.

ContextForge MCP Gateway is an open source Model Context Protocol (MCP) gateway, registry, and proxy platform that provides a unified endpoint for AI clients to discover and access tools, resources, prompts, and REST or MCP services in complex AI ecosystems. It sits in front of multiple MCP servers and REST APIs to federate and unify discovery, authentication, rate-limiting, observability, and traffic routing across diverse backends, with support for transports such as HTTP, JSON-RPC, WebSocket, SSE, stdio, and streamable HTTP, and can virtualize legacy APIs as MCP-compliant tools. It includes an optional Admin UI for real-time configuration, monitoring, and log visibility, and is designed to scale from standalone deployments to multi-cluster Kubernetes environments with Redis-backed federation and caching for performance and resilience.