Product Marketing Manager

Palo Alto Networks announced its acquisition of Chronosphere, an observability platform designed for the AI era. This move aims to enhance Palo Alto Networks' Cortex AgentiX platform, providing real-time remediation for AI-native companies. The acquisition will help address the data demands of modern applications and AI workloads, ensuring constant uptime and resilience. Chronosphere's architecture is built to handle large cloud data volumes efficiently, already serving leading AI companies.

Embrace brings real user monitoring (RUM) to Chronosphere's composable observability ecosystem. Embrace is partnering with Chronosphere to connect frontend and backend data, closing the gap between user experience and system performance embrace.io is excited to share that Embrace has joined Chronosphere's newly announced Partner Program. As their user-focused observability and RUM partner, embrace.io join a select group of domain experts shaping the future of composable observability. Together, embrace.io is connecting the dots between frontend user experience and backend performance, bringing user-focused observability to one of the industry's most powerful OpenTelemetry-native platforms. At Embrace, its mission is to help engineering teams understand how real users experience their apps and sites, and to give them the visibility and control they need to improve those experiences with confidence. embrace.io share Chronosphere's belief in an open, composable observability ecosystem: one that eliminates vendor lock-in and empowers teams to choose the solutions that deliver the most value. Its fellow Chronosphere Partner Program companies Arize, Checkly, Polar Signals, and Rootly might say the same! Why this partnership matters. Modern engineering organizations need flexibility, not restrictions. They want the freedom to build observability stacks from specialized solutions connected through open standards like OpenTelemetry. As teams move away from costly, closed "all-in-one" platforms, Embrace RUM and Chronosphere offer a modern, open alternative. Together, embrace.io deliver depth, interoperability, and cost efficiency without the risk of lock-in. With Embrace RUM integrated directly into Chronosphere, teams can: * Correlate frontend sessions with backend traces in a unified platform * Detect and resolve user-impacting issues before they affect revenue or reputation * Connect technical performance directly to user engagement and business outcomes * Build within a composable observability ecosystem that lets teams choose the right tools for each domain while maintaining unified system health and control In the past, adding observability tools meant more complexity, higher costs, and fragmented insights. Now, teams can close visibility gaps and connect every signal, from screen tap to database transaction, within a single, cohesive system of understanding. How embrace.io work together. Chronosphere customers can now access frontend telemetry from Embrace directly within their Chronosphere dashboards. Developers can correlate individual user sessions with backend system traces, and form actionable metrics based entirely on client-side activity. And for frontend devs who need deeper context, Embrace offers the industry's most advanced troubleshooting products for mobile and web (User Journeys, session timelines, crash/ANR reporting, Core Web Vitals, so much more). * Control over your data: Flexibly route, sample, & aggregate your telemetry with no vendor lock in * OTEL compatibility: Ingest frontend telemetry with OTLP protocol * Deep technical integration: Connect the status of backend services directly with user experiences * Smooth team workflows: A common language of data (OTel) with frontend and backend data in a single view Looking ahead. Connecting the perspective of the end-user with system performance on the backend lets you determine the business impact of unreliable networking, unintuitive user interfaces, and poor client-side integrations. With composable observability from Embrace and Chronosphere, you can improve end-to-end workflows and better understand issues that affect SLOs and the overall success of your application. Because true observability isn't just about tracking systems. It's about understanding people, and building technology that serves them better.

Chronosphere launches AI-Guided Troubleshooting to accelerate root-cause analysis. Cloud-native observability company Chronosphere Inc. today announced the launch of AI-Guided Troubleshooting capabilities, an advancement that helps engineering teams investigate and resolve production incidents. The new capabilities combine artificial intelligence-driven insights with deep environmental context via a Temporal Knowledge Graph to deliver highly accurate root-cause insights that enable engineers to resolve issues faster and with greater confidence. The company's new AI-Guided Troubleshooting seeks to assist with the issue whereby generative AI has spurred a 13.5% increase in weekly code commits, signifying a surge in code velocity and change volume. Chronosphere argues that despite these advancements in software development, troubleshooting remains primarily manual and relies heavily on intuition, resulting in slower mean time to resolution and greater on-call stress. Chronosphere's AI-Guided Troubleshooting capabilities close the gap by combining AI reasoning with a Temporal Knowledge Graph, a living, queryable map of an organization's services, infrastructure and their relationships. The capabilities account for system changes and even human input, as well as supporting custom application telemetry to provide deep context for effective root-cause analysis. The system applies analytics to surface the most meaningful next steps in an investigation. Each stage includes explanations of what's been analyzed or ruled out to allow engineers to stay in control while AI accelerates every phase of the troubleshooting process. As engineers zero in on a root cause, investigations are fed into the Temporal Knowledge Graph so future suggestions get smarter. "For AI to be effective in observability, it needs more than pattern recognition and summarization," said co-founder and Chief Executive Martin Mao. "Chronosphere has spent years building the data foundation and analytical depth needed for AI to actually help engineers. With our Temporal Knowledge Graph and advanced analytics capabilities, we're giving AI the understanding it needs to make observability truly intelligent and giving engineers the confidence to trust its guidance." Chronosphere's AI-Guided Troubleshooting introduces four core capabilities. Suggestions offer proactive, plain-language insights that guide investigations toward likely causes backed by data, not guesswork. The Temporal Knowledge Graph gives a continuously updated map of services, dependencies and custom telemetry. Investigation Notebooks provides persistent workspaces that document every step, piece of evidence and conclusion, turning investigations into reusable institutional knowledge. And Natural Language Assistance allows engineers to build queries and dashboards using natural language, accelerating data exploration. In addition to AI-Guided Troubleshooting, Chronosphere also today announced the general availability of its Model Context Protocol Server which allows engineers and developers to integrate Chronosphere directly into internal AI workflows. Chronosphere CEO Mao spoke with theCUBE, SiliconANGLE Media's livestreaming studio, in June, when he discussed how Chronosphere is redefining cloud-native observability with Logs 2.0 and real-time data control: Image: Chronosphere. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.