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AppDynamics Announces Plans to Deliver APM for Mobile Applications

AppDynamics announced plans to monitor iOS and Android mobile applications before the end of 2013.

While already monitoring complex applications in the data center as well as the cloud for over 500 customers such as Netflix, AppDynamics will now instrument the performance of native code running on mobile devices and carrier networks.

Understanding the performance of mobile applications is a complex challenge for developers and operations teams, despite the fact that most web surfing will be done via mobile phones in 2013 and that Gartner predicts mobile ad revenue will reach a trillion dollars by 2014. The teams who develop mobile apps often lack visibility into the true end user experience, as well as the root cause of performance issues — is it the mobile device, carrier or application code that is the problem?

AppDynamics already offers the ability for development and operations teams to monitor the performance of web browser-based mobile applications. But within months, AppDynamics will offer insight for native iOS and Android applications:

- The ability to monitor the performance of mobile screens, interactions and background tasks

- The ability for developers to instrument the performance of native code and mobile frameworks such as SQLite on iOS and Android devices

- Crash Reporting - Error & Exception capture so developers can identify and debug problems remotely from mobile apps

"Our goal is to ensure that the performance of mobile applications is never a mystery to the teams that are responsible for them," said Jyoti Bansal, Founder & CEO of AppDynamics. "We will provide the same capabilities that we do for browser and server-side applications: the ability to monitor end user experience, to baseline the performance of mobile applications, and to provide code-level diagnostics when performance deviates from their SLA."

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AppDynamics Announces Plans to Deliver APM for Mobile Applications

AppDynamics announced plans to monitor iOS and Android mobile applications before the end of 2013.

While already monitoring complex applications in the data center as well as the cloud for over 500 customers such as Netflix, AppDynamics will now instrument the performance of native code running on mobile devices and carrier networks.

Understanding the performance of mobile applications is a complex challenge for developers and operations teams, despite the fact that most web surfing will be done via mobile phones in 2013 and that Gartner predicts mobile ad revenue will reach a trillion dollars by 2014. The teams who develop mobile apps often lack visibility into the true end user experience, as well as the root cause of performance issues — is it the mobile device, carrier or application code that is the problem?

AppDynamics already offers the ability for development and operations teams to monitor the performance of web browser-based mobile applications. But within months, AppDynamics will offer insight for native iOS and Android applications:

- The ability to monitor the performance of mobile screens, interactions and background tasks

- The ability for developers to instrument the performance of native code and mobile frameworks such as SQLite on iOS and Android devices

- Crash Reporting - Error & Exception capture so developers can identify and debug problems remotely from mobile apps

"Our goal is to ensure that the performance of mobile applications is never a mystery to the teams that are responsible for them," said Jyoti Bansal, Founder & CEO of AppDynamics. "We will provide the same capabilities that we do for browser and server-side applications: the ability to monitor end user experience, to baseline the performance of mobile applications, and to provide code-level diagnostics when performance deviates from their SLA."

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While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

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