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APM for Development - Unified Monitoring for IT Ops

Scott Hollis

Ensuring application performance is a never ending task that involves multiple products, features and best practices. There is no one process, feature, or product that does everything. A good place to start is pre-production and production monitoring with both an Application Performance Management (APM) tool and a Unified Monitoring tool.

The APM tool will trace/instrument your application and application server activity and often the end user experience via synthetic transactions. The development team and DevOps folks need this.

The Unified Monitoring tool will monitor the supporting infrastructure. The IT Ops team needs this. DevOps likes it too because it helps make IT Ops more effective, which in turn helps assure application delivery.

More Cost Effective

APM tools do not specialize in infrastructure monitoring like unified monitoring solutions do, and unified monitoring solutions do not provide application monitoring depth and diagnostics like the APM tools do. And on top of that, the different audiences need different information.

The best approach is to buy APM for the most critical applications. Most organizations use APM for 10% - 15% of their applications. It is too expensive to buy it for everything. Then for the second tier applications that need some monitoring, they use the unified monitoring solution. It is much less expensive and if you select one with synthetic transaction capability you can get "good enough" end user experience monitoring to know whether or not the application is performing well or not.

Service-Centric is Key

When it comes to unified monitoring, it is important to understand that most unified monitoring vendors provide endpoint monitoring. With endpoint monitoring alone, it is impossible to provide highly accurate root-cause isolation. And they don't identify which service, or application, is impacted. And they can't tell you the extent of the impact. Is it just at risk without impacting application delivery yet OR is it down OR is it somewhere in between?

Be sure the unified monitoring vendor is service-centric and models relationships between components, and that it identifies root-cause; the service or application impacted; and the extent of the impact. This can save hours when there is an outage.

Better yet, by identifying when services are at risk, this can help you to proactively identify and address issues before services/application delivery is impacted.

Scott Hollis is Director of Product Marketing for Zenoss.

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APM for Development - Unified Monitoring for IT Ops

Scott Hollis

Ensuring application performance is a never ending task that involves multiple products, features and best practices. There is no one process, feature, or product that does everything. A good place to start is pre-production and production monitoring with both an Application Performance Management (APM) tool and a Unified Monitoring tool.

The APM tool will trace/instrument your application and application server activity and often the end user experience via synthetic transactions. The development team and DevOps folks need this.

The Unified Monitoring tool will monitor the supporting infrastructure. The IT Ops team needs this. DevOps likes it too because it helps make IT Ops more effective, which in turn helps assure application delivery.

More Cost Effective

APM tools do not specialize in infrastructure monitoring like unified monitoring solutions do, and unified monitoring solutions do not provide application monitoring depth and diagnostics like the APM tools do. And on top of that, the different audiences need different information.

The best approach is to buy APM for the most critical applications. Most organizations use APM for 10% - 15% of their applications. It is too expensive to buy it for everything. Then for the second tier applications that need some monitoring, they use the unified monitoring solution. It is much less expensive and if you select one with synthetic transaction capability you can get "good enough" end user experience monitoring to know whether or not the application is performing well or not.

Service-Centric is Key

When it comes to unified monitoring, it is important to understand that most unified monitoring vendors provide endpoint monitoring. With endpoint monitoring alone, it is impossible to provide highly accurate root-cause isolation. And they don't identify which service, or application, is impacted. And they can't tell you the extent of the impact. Is it just at risk without impacting application delivery yet OR is it down OR is it somewhere in between?

Be sure the unified monitoring vendor is service-centric and models relationships between components, and that it identifies root-cause; the service or application impacted; and the extent of the impact. This can save hours when there is an outage.

Better yet, by identifying when services are at risk, this can help you to proactively identify and address issues before services/application delivery is impacted.

Scott Hollis is Director of Product Marketing for Zenoss.

Hot Topics

The Latest

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 ...

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 ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...