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Embrace and Grafana Labs Sign Go-To-Market Agreement

Embrace signed a go-to-market partnership agreement with Grafana Labs to bring modern mobile app observability based on OpenTelemetry to users of Grafana Labs' products for full stack observability.

Embrace will partner with Grafana Labs to tie frontend mobile telemetry to backend performance data. This partnership will enable a cohesive workflow for SREs and DevOps to understand end-user impact and health, while giving mobile developers the tools to prevent issues that reduce user engagement and increase churn.

Embrace and Grafana Labs will enable a cohesive workflow for SREs and DevOps to understand end-user impact and health of mobile applications.

"As mobile continues to dominate the way consumers transact digitally, we've heard loud and clear that teams building digital experiences want the connective data that lets them understand end-user experiences and as a result, business success," said Andrew Tunall, Chief Product Officer at Embrace. "We're thrilled to make it even easier for innovators who work with Grafana to see and act on a modern observability dataset from mobile apps to connect technical failures all the way from the cloud to a user's device, and then to business outcomes. Our alignment around open-source and OpenTelemetry, and our mission to modernize the observability ecosystem, are a great fit with Grafana Labs, who continue to drive crucial innovation in the space."

With OpenTelemetry-based SDKs designed for mobile, Embrace helps SRE and mobile development teams modernize their observability stack with critical mobile signals from users. Embrace will collaborate with Grafana Labs to allow entire enterprise engineering teams to benefit from mobile insights and capabilities built uniquely for mobile.

"With this partnership, customers can use OpenTelemetry to bridge from user-focused insights on a mobile app, through app and infrastructure observability, and fully understand each part of the system's impact on SLOs," said Ash Mazhari, VP of Corporate and Business Development at Grafana Labs. "We're incredibly excited to work with Embrace on bringing modern observability to our joint customers."

Embrace delivers context-rich mobile data in the form of metrics and traces (and soon logs) to Grafana for full visibility into a company's entire tech ecosystem. Benefits include:

- Seamless integration: Engineers can forward metrics and traces from Embrace directly to Grafana Cloud, unlocking the ability to analyze and view modern mobile observability data alongside telemetry captured from backend services and infrastructure in Grafana Labs' OSS visualization layer and observability platform.

- Comprehensive mobile insights: Grafana users can leverage Embrace's tracing capabilities to gain deep, fine-grained insights into complex issues that impact mobile performance, such as networking problems. Additionally, Embrace's robust real user monitoring (RUM) tools provide detailed context into mobile-specific user issues, such as session events, crashes, errors, ANRs (Application Not Responding), memory issues and more.

- Proactive issue detection: Teams can shift from a reactive to proactive practice in how they interact with observability data, identifying and resolving issues in real-time, with a common language and solution, to ensure a seamless user experience and collaboration across engineering teams.

Capturing telemetry for client applications raises the bar for modern observability teams. Now any SREs and mobile development teams can gather the data and insights they need to modernize their stack with a mobile-first approach.

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Embrace and Grafana Labs Sign Go-To-Market Agreement

Embrace signed a go-to-market partnership agreement with Grafana Labs to bring modern mobile app observability based on OpenTelemetry to users of Grafana Labs' products for full stack observability.

Embrace will partner with Grafana Labs to tie frontend mobile telemetry to backend performance data. This partnership will enable a cohesive workflow for SREs and DevOps to understand end-user impact and health, while giving mobile developers the tools to prevent issues that reduce user engagement and increase churn.

Embrace and Grafana Labs will enable a cohesive workflow for SREs and DevOps to understand end-user impact and health of mobile applications.

"As mobile continues to dominate the way consumers transact digitally, we've heard loud and clear that teams building digital experiences want the connective data that lets them understand end-user experiences and as a result, business success," said Andrew Tunall, Chief Product Officer at Embrace. "We're thrilled to make it even easier for innovators who work with Grafana to see and act on a modern observability dataset from mobile apps to connect technical failures all the way from the cloud to a user's device, and then to business outcomes. Our alignment around open-source and OpenTelemetry, and our mission to modernize the observability ecosystem, are a great fit with Grafana Labs, who continue to drive crucial innovation in the space."

With OpenTelemetry-based SDKs designed for mobile, Embrace helps SRE and mobile development teams modernize their observability stack with critical mobile signals from users. Embrace will collaborate with Grafana Labs to allow entire enterprise engineering teams to benefit from mobile insights and capabilities built uniquely for mobile.

"With this partnership, customers can use OpenTelemetry to bridge from user-focused insights on a mobile app, through app and infrastructure observability, and fully understand each part of the system's impact on SLOs," said Ash Mazhari, VP of Corporate and Business Development at Grafana Labs. "We're incredibly excited to work with Embrace on bringing modern observability to our joint customers."

Embrace delivers context-rich mobile data in the form of metrics and traces (and soon logs) to Grafana for full visibility into a company's entire tech ecosystem. Benefits include:

- Seamless integration: Engineers can forward metrics and traces from Embrace directly to Grafana Cloud, unlocking the ability to analyze and view modern mobile observability data alongside telemetry captured from backend services and infrastructure in Grafana Labs' OSS visualization layer and observability platform.

- Comprehensive mobile insights: Grafana users can leverage Embrace's tracing capabilities to gain deep, fine-grained insights into complex issues that impact mobile performance, such as networking problems. Additionally, Embrace's robust real user monitoring (RUM) tools provide detailed context into mobile-specific user issues, such as session events, crashes, errors, ANRs (Application Not Responding), memory issues and more.

- Proactive issue detection: Teams can shift from a reactive to proactive practice in how they interact with observability data, identifying and resolving issues in real-time, with a common language and solution, to ensure a seamless user experience and collaboration across engineering teams.

Capturing telemetry for client applications raises the bar for modern observability teams. Now any SREs and mobile development teams can gather the data and insights they need to modernize their stack with a mobile-first approach.

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Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...