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Embrace is Now a Unity Verified Solution

Embrace is now a Unity Verified Solution.

The Embrace SDK has been fully vetted by Unity to ensure rigorous technical quality and compatibility standards. Unity developers will have access to Embrace's powerful performance monitoring SDK for their mobile games via a verified listing in the Unity Asset Store.

Embrace helps improve the speed, stability, and performance of mobile games at every stage of development. With complete, unsampled data, engineers using Embrace get the full context to solve any issue, whether it's a crash, slowdown, error, ANR, network failure, or more.

Embrace is designed for early discovery, enabling developers to catch performance risks as soon as they impact even a handful of users. By capturing every technical event that occurs within each and every player session, engineers can quickly resolve issues with relevant technical context.

Eric Futoran, Co-Founder and CEO of Embrace, said: "In mobile, every user counts. By capturing every technical event that occurs within a player session, teams can understand where and when their users encounter poor app experiences. Resolving issues quickly helps teams focus on what they love to do – build amazing games."

Whether pre-launch, soft launch, or in production making feature updates, Embrace provides mobile-specific tooling for engineers such as:

- Complete user session timelines: Recreate every user experience with the full technical and behavioral details in a play-by-play format that takes the guesswork out of understanding how a user experienced an issue. Get to the root cause of any issue, affecting any player, without tedious manual reproduction steps.

- ANR and crash resolution: Surface and resolve high priority ANRs and crashes that impact app rankings and discoverability. See Google Play Console ANR data directly within Embrace, combined with thread profiles captured whenever a game begins to enter an ANR state, with powerful flame graphs for faster prioritization and resolution.

- Dedicated Unity exceptions reporting: Automatically capture both native-layer and Unity-layer exceptions, with stack traces in native code and C#. View exceptions thrown on background threads in addition to the main thread for faster identification of the root causes of crashes and exceptions.

- Automatic network request logging: Get the client-side performance of every single network call to gain insight that server-side monitoring just can't see. Discover when third-party SDKs (like ad SDKs) are causing slowdowns and freezes that impact gameplay and cause users to abandon game sessions.

The Latest

IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Embrace is Now a Unity Verified Solution

Embrace is now a Unity Verified Solution.

The Embrace SDK has been fully vetted by Unity to ensure rigorous technical quality and compatibility standards. Unity developers will have access to Embrace's powerful performance monitoring SDK for their mobile games via a verified listing in the Unity Asset Store.

Embrace helps improve the speed, stability, and performance of mobile games at every stage of development. With complete, unsampled data, engineers using Embrace get the full context to solve any issue, whether it's a crash, slowdown, error, ANR, network failure, or more.

Embrace is designed for early discovery, enabling developers to catch performance risks as soon as they impact even a handful of users. By capturing every technical event that occurs within each and every player session, engineers can quickly resolve issues with relevant technical context.

Eric Futoran, Co-Founder and CEO of Embrace, said: "In mobile, every user counts. By capturing every technical event that occurs within a player session, teams can understand where and when their users encounter poor app experiences. Resolving issues quickly helps teams focus on what they love to do – build amazing games."

Whether pre-launch, soft launch, or in production making feature updates, Embrace provides mobile-specific tooling for engineers such as:

- Complete user session timelines: Recreate every user experience with the full technical and behavioral details in a play-by-play format that takes the guesswork out of understanding how a user experienced an issue. Get to the root cause of any issue, affecting any player, without tedious manual reproduction steps.

- ANR and crash resolution: Surface and resolve high priority ANRs and crashes that impact app rankings and discoverability. See Google Play Console ANR data directly within Embrace, combined with thread profiles captured whenever a game begins to enter an ANR state, with powerful flame graphs for faster prioritization and resolution.

- Dedicated Unity exceptions reporting: Automatically capture both native-layer and Unity-layer exceptions, with stack traces in native code and C#. View exceptions thrown on background threads in addition to the main thread for faster identification of the root causes of crashes and exceptions.

- Automatic network request logging: Get the client-side performance of every single network call to gain insight that server-side monitoring just can't see. Discover when third-party SDKs (like ad SDKs) are causing slowdowns and freezes that impact gameplay and cause users to abandon game sessions.

The Latest

IT organizations have historically measured success by how quickly they can respond when something goes wrong. The entire discipline of Incident Management has been optimized around mean time to resolution, first-response SLAs and ticket closure rates. But new research suggests that even though this is a well-executed playbook, it's no longer enough to retain customers ...

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...