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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.

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Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

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