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AppDynamics Introduces Serverless Agent for AWS Lambda

AppDynamics announced the Serverless Agent for AWS Lambda, the first of AppDynamics’ special purpose agents built to show the impact serverless functions can have on applications within the larger context of the business and end user experience.

With this new agent, businesses have a complete view into how the performance of serverless functions correlates with the rest of an application’s ecosystem, including hybrid and multi-cloud environments, to give you full visibility into the impact on user experience, application performance and business impact.

“The freedom from server management complexities has empowered developers to focus on what they care most about, delivering the highest quality code, faster, and at scale. But it also has negative side effects. Holes start appearing in user journeys, causing war rooms to erupt with confusion around what is really happening within the application,” said Prathap Dendi, GM, Growth Initiatives and Commercialization, AppDynamics. “The AppDynamics Serverless Agent paints a clear picture of how serverless functions impact each transaction served by an application and ultimately how they influence customer experience, which puts an end to baseless finger-pointing situations.

AppDynamics’ Serverless Agent for AWS Lambda brings the powerful end-to-end Business Transaction context AppDynamics is known for into the serverless environment. The Serverless Agent builds on the broadest coverage in the industry, which spans business applications like SAP, trusted mainframes such as IBM and AWS cloud environments. Supporting AWS Lambda functions implemented in Java is the first of AppDynamics’ new special purpose serverless agent family with additional languages and support for additional cloud providers in the works.

- End-to-End Transaction Monitoring: With AppDynamics’ patented Business Transaction technology, its Serverless Agent for AWS Lambda is the only solution on the market that captures how serverless operates in the wider context of your application and business. AppDynamics creates a full application topology that understands how applications are built and how the different components, serverless and traditional, impact user experience, application performance and business outcomes.

- Business Intelligence: As a first-class citizen in AppDynamics’ monitoring suite, users can connect the impact serverless application performance has on their business objectives. By converging serverless and infrastructure data with business performance data, companies can fully understand how critical KPIs are affected.

- Cloud Scale: The Serverless Agent for AWS Lambda gives businesses visibility into serverless application beyond the function itself. This can help businesses scale their serverless/hybrid applications efficiently without losing visibility or causing alert fatigue. The lightweight agent enables scale without requiring significant CPU, memory, network bandwidth, storage, or admin overhead.

AppDynamics’ Serverless Agent for AWS Lambda is available for Beta trial for existing SaaS customers with Java Lambda functions.

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AppDynamics Introduces Serverless Agent for AWS Lambda

AppDynamics announced the Serverless Agent for AWS Lambda, the first of AppDynamics’ special purpose agents built to show the impact serverless functions can have on applications within the larger context of the business and end user experience.

With this new agent, businesses have a complete view into how the performance of serverless functions correlates with the rest of an application’s ecosystem, including hybrid and multi-cloud environments, to give you full visibility into the impact on user experience, application performance and business impact.

“The freedom from server management complexities has empowered developers to focus on what they care most about, delivering the highest quality code, faster, and at scale. But it also has negative side effects. Holes start appearing in user journeys, causing war rooms to erupt with confusion around what is really happening within the application,” said Prathap Dendi, GM, Growth Initiatives and Commercialization, AppDynamics. “The AppDynamics Serverless Agent paints a clear picture of how serverless functions impact each transaction served by an application and ultimately how they influence customer experience, which puts an end to baseless finger-pointing situations.

AppDynamics’ Serverless Agent for AWS Lambda brings the powerful end-to-end Business Transaction context AppDynamics is known for into the serverless environment. The Serverless Agent builds on the broadest coverage in the industry, which spans business applications like SAP, trusted mainframes such as IBM and AWS cloud environments. Supporting AWS Lambda functions implemented in Java is the first of AppDynamics’ new special purpose serverless agent family with additional languages and support for additional cloud providers in the works.

- End-to-End Transaction Monitoring: With AppDynamics’ patented Business Transaction technology, its Serverless Agent for AWS Lambda is the only solution on the market that captures how serverless operates in the wider context of your application and business. AppDynamics creates a full application topology that understands how applications are built and how the different components, serverless and traditional, impact user experience, application performance and business outcomes.

- Business Intelligence: As a first-class citizen in AppDynamics’ monitoring suite, users can connect the impact serverless application performance has on their business objectives. By converging serverless and infrastructure data with business performance data, companies can fully understand how critical KPIs are affected.

- Cloud Scale: The Serverless Agent for AWS Lambda gives businesses visibility into serverless application beyond the function itself. This can help businesses scale their serverless/hybrid applications efficiently without losing visibility or causing alert fatigue. The lightweight agent enables scale without requiring significant CPU, memory, network bandwidth, storage, or admin overhead.

AppDynamics’ Serverless Agent for AWS Lambda is available for Beta trial for existing SaaS customers with Java Lambda functions.

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

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 ...