Skip to main content

Chronosphere Partners with Google Cloud

Chronosphere announced a partnership with Google Cloud.

As go-to-market partners, Chronosphere and Google Cloud will work together to help customers quickly resolve incidents while controlling costs associated with cloud native observability solutions. The multi-year agreement will support joint co-marketing and co-selling efforts through Google Cloud's Solution Connect program and Google Cloud Marketplace. As part of the partnership, the two companies will plan joint marketing campaigns, sales enablement and mutual customer success initiatives.

Chronosphere previously announced that its solution is available on Google Cloud Marketplace and runs much of its critical infrastructure on Google Cloud, using the service's global infrastructure to deliver secure and reliable services to hypergrowth customers. Now, customers can purchase Chronosphere as a bundled solution via Google Cloud Marketplace to streamline procurement.

The partnership brings together the best in cloud native services and cloud native observability. With the power of Google Cloud and Chronosphere, observability teams can transform their observability data based on the need, context, and utility, storing only the useful data to reduce cost and improve performance. With purpose-built solutions for a cloud native world, teams gain faster issue detection and resolution, up to 99.99% availability and open source compatibility–eliminating vendor lock-in.

"Chronosphere has proven that it can handle large volumes of data without interruption or extraordinary expense," said Ritika Suri, Director, Technology Partnerships at Google Cloud. "With its platform on Google Cloud's globally trusted infrastructure, Chronosphere can strengthen its ability to rapidly and reliably control observability data and costs while maintaining open source compatibility."

"Companies growing their online infrastructure risk huge hits to their bottom line if they don't also manage increased complexity and cost," said Martin Mao, co-founder of Chronosphere. "Our partnership with Google Cloud brings together the world's leading cloud services platform with our powerful observability solution to unlock the benefits of a cloud native world, while optimizing for efficiency, reliability, and cost."

The Latest

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

Chronosphere Partners with Google Cloud

Chronosphere announced a partnership with Google Cloud.

As go-to-market partners, Chronosphere and Google Cloud will work together to help customers quickly resolve incidents while controlling costs associated with cloud native observability solutions. The multi-year agreement will support joint co-marketing and co-selling efforts through Google Cloud's Solution Connect program and Google Cloud Marketplace. As part of the partnership, the two companies will plan joint marketing campaigns, sales enablement and mutual customer success initiatives.

Chronosphere previously announced that its solution is available on Google Cloud Marketplace and runs much of its critical infrastructure on Google Cloud, using the service's global infrastructure to deliver secure and reliable services to hypergrowth customers. Now, customers can purchase Chronosphere as a bundled solution via Google Cloud Marketplace to streamline procurement.

The partnership brings together the best in cloud native services and cloud native observability. With the power of Google Cloud and Chronosphere, observability teams can transform their observability data based on the need, context, and utility, storing only the useful data to reduce cost and improve performance. With purpose-built solutions for a cloud native world, teams gain faster issue detection and resolution, up to 99.99% availability and open source compatibility–eliminating vendor lock-in.

"Chronosphere has proven that it can handle large volumes of data without interruption or extraordinary expense," said Ritika Suri, Director, Technology Partnerships at Google Cloud. "With its platform on Google Cloud's globally trusted infrastructure, Chronosphere can strengthen its ability to rapidly and reliably control observability data and costs while maintaining open source compatibility."

"Companies growing their online infrastructure risk huge hits to their bottom line if they don't also manage increased complexity and cost," said Martin Mao, co-founder of Chronosphere. "Our partnership with Google Cloud brings together the world's leading cloud services platform with our powerful observability solution to unlock the benefits of a cloud native world, while optimizing for efficiency, reliability, and cost."

The Latest

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...