
Approximately 25 million engineers are employed across a wide variety of specific roles. As companies increasingly transform into software-centric organizations, engineers are leveraging New Relic to obtain real-time insights and analyze performance trends of their applications. This capability enables them to enhance their resilience and deliver outstanding customer experiences. New Relic stands out as the sole platform that provides a comprehensive all-in-one solution for these needs. It supplies users with a secure cloud environment for monitoring all metrics and events, robust full-stack analytics tools, and clear pricing based on actual usage. Furthermore, New Relic has cultivated the largest open-source ecosystem in the industry, simplifying the adoption of observability practices for engineers and empowering them to innovate more effectively. This combination of features positions New Relic as an invaluable resource for engineers navigating the evolving landscape of software development.
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Gemini Enterprise Agent Platform is an advanced AI infrastructure from Google Cloud that enables organizations to build and manage intelligent agents at scale. As the evolution of Vertex AI, it consolidates model development, agent creation, and deployment into a unified platform. The system provides access to a diverse library of over 200 AI models, including cutting-edge Gemini models and leading third-party solutions. It supports both low-code and full-code development, giving teams flexibility in how they design and deploy agents. With capabilities like Agent Runtime, organizations can run high-performance agents that handle long-duration tasks and complex workflows. The Memory Bank feature allows agents to retain long-term context, improving personalization and decision-making. Security is a core focus, with tools like Agent Identity, Registry, and Gateway ensuring compliance, traceability, and controlled access. The platform also integrates seamlessly with enterprise systems, enabling agents to connect with data sources, applications, and operational tools. Real-time monitoring and observability features provide visibility into agent reasoning and execution. Simulation and evaluation tools allow teams to test and refine agents before and after deployment. Automated optimization further enhances agent performance by identifying issues and suggesting improvements. The platform supports multi-agent orchestration, enabling agents to collaborate and complete complex tasks efficiently. Overall, it transforms AI from a productivity tool into a fully autonomous operational capability for modern enterprises.
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Gantry
Develop a thorough insight into the effectiveness of your model by documenting both the inputs and outputs, while also enriching them with pertinent metadata and insights from users. This methodology enables a genuine evaluation of your model's performance and helps to uncover areas for improvement. Be vigilant for mistakes and identify segments of users or situations that may not be performing as expected and could benefit from your attention. The most successful models utilize data created by users; thus, it is important to systematically gather instances that are unusual or underperforming to facilitate model improvement through retraining. Instead of manually reviewing numerous outputs after modifying your prompts or models, implement a programmatic approach to evaluate your applications that are driven by LLMs. By monitoring new releases in real-time, you can quickly identify and rectify performance challenges while easily updating the version of your application that users are interacting with. Link your self-hosted or third-party models with your existing data repositories for smooth integration. Our serverless streaming data flow engine is designed for efficiency and scalability, allowing you to manage enterprise-level data with ease. Additionally, Gantry conforms to SOC-2 standards and includes advanced enterprise-grade authentication measures to guarantee the protection and integrity of data. This commitment to compliance and security not only fosters user trust but also enhances overall performance, creating a reliable environment for ongoing development. Emphasizing continuous improvement and user feedback will further enrich the model's evolution and effectiveness.
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Galileo
Galileo is an AI observability and eval engineering platform built to help organizations measure, protect, and improve AI applications and agents across the full development lifecycle. Now part of Cisco, Galileo is positioned around the idea that teams should not only monitor AI failures, but prevent them with production-ready guardrails. The platform helps teams capture ground truth from synthetic data, development workflows, live production traffic, and subject matter expert annotations. Galileo provides more than 20 out-of-the-box evaluations for RAG systems, agents, safety, security, and custom use cases. Its eval engineering workflow helps teams create accurate evaluators that reflect their own domain expertise instead of relying only on generic metrics. Galileo can auto-tune metrics from live feedback so evaluations become better aligned with real environments. The platform’s Luna models distill expensive LLM-as-judge evaluators into compact models that can run across production traffic at lower cost and lower latency. Galileo’s insights engine analyzes millions of signals across models, prompts, functions, context, datasets, traces, and MCP server activity to identify failure modes and recommend fixes. Teams can use these insights to debug agent behavior, improve prompts, adjust tools, detect hallucinations, and strengthen AI reliability. Galileo supports the eval-to-guardrail lifecycle, where pre-production tests become production policies that can block harmful responses, control tool access, and guide escalation paths. By combining AI observability, evals, ground-truth datasets, Luna guardrail models, agent reliability workflows, safety controls, deployment flexibility, and production monitoring, Galileo helps enterprises ship AI systems with more confidence.
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