Skip to main content

What You Should Be Monitoring to Ensure Digital Performance - Part 3

APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 3 covers the development side.

Start with What You Should Be Monitoring to Ensure Digital Performance - Part 1

Start with What You Should Be Monitoring to Ensure Digital Performance - Part 2

CODE ERRORS

Code-level issues are a common cause of application slowness and have fueled the need for distributed transaction tracing, which can help isolate the exact line of code with errors. This type of monitoring can also be effectively applied in both pre- and post-production environments, enabling us to prevent performance issues before they impact end users as well as help isolate them when they do occur.
When this type of application monitoring is done in context of infrastructure dependencies, it helps distinguish if there are other issues affecting application code processing, such as a bottleneck in the application server, long-running database queries, slow third-party calls, or other issues that may be associated with the application ecosystem. Applications are the heart of IT workloads, and application performance monitoring is critical to effectively ensure the performance of digital services.
John Worthington
Director, Product Marketing, eG Innovations

Digital performance is complex and can be measured in many ways, but one critical consideration is how well does the application do what it is supposed to do? Is it meeting a functional performance metric for customer expectations? To ensure this, organizations need to look at the "fingerprint" of each error in code to discern its importance as well as look at the number of critical errors per release. This dictates the overall functional reliability of the code. It also requires you to be code-aware, monitoring from inside the application at runtime, not surrounding it or listening to the exhaust.
Tal Weiss
CTO and Co-Founder, OverOps

Most people already know to monitor the obvious things, like total latency to response. But my favorite monitor comes from Anatoly Mikhaylov's talk at DASH this year. He spoke about finding massive infrastructure costs hidden in error codes. Adding APM monitoring to the errors in your endpoints can show costs you wouldn't otherwise see.
Kirk Kaiser
APM Developer Advocate, Datadog

APPLICATION RELEASE

When automating you application release, it's important to remember what you need to monitor. This will allow you to go as fast as possible, but also make sure you are doing it efficiently. Monitor your lead time, success vs failure rate and mean time to recovery will ensure you focus on value rather than on effort.
Yaniv Yehuda
Co-Founder and CTO, DBmaestro

API

One key area to make sure you monitor: API calls. There aren't many applications I come across these days that do not include some 3rd-party API, be it for authentication, analytics, storage, or customer relationship management. Such API calls can so greatly impact digital performance that not monitoring them to identify things such as performance slowdowns and dependencies is a prescription for pain.
Jean Tunis
Senior Consultant and Founder of RootPerformance

Cloud, containers and microservices are creating increasingly ephemeral, modular and volatile IT environments. In these dynamic environments, traditional monitoring approaches fail. A modern monitoring approach is required to provide complete visibility into the applications, containers, host and underlying supporting infrastructure. This includes having visibility into the performance of and data returning from APIs which have become a key component to any microservices architecture. A modern monitoring approach includes the analytics and intelligence to understand how changes might impact the overall user experience and flexible monitoring techniques that don't overload the containerized application environment.
Amy Feldman
Director, Product Marketing, CA Technologies

Finding a tool that fits seamlessly into your workflows, setting performance benchmarks, validating payloads, and getting visibility into the performance of API transactions is critical to help teams get rapidly identify and fix issues in production so that the delivered digital experience matches the vision for end-users.
Anand Sundaram
VP of Product, AlertSite UXM, SmartBear

APIs are the fundamental building block of modern software. While engineering teams have built extensive monitoring systems to check the health of code execution paths, they have little visibility into what's going on with APIs. An API failure can bring down systems and without proper monitoring in place, it can be very hard to debug what's going on.
Abhinav Asthana
CEO, Postman

CONTAINERS

The nature of development means systems are going to spring into existence and then back out again often, and that this rapid change is OK, which means your monitoring needs to be OK with it. The ability to monitor containers, ephemeral services, and the like, is a must.
Leon Adato
Head Geek, SolarWinds

MICROSERVICES

Real users who recently reviewed APM solutions in the IT Central Station community recommend monitoring microservices. Click here to learn more.
Russell Rothstein
Founder and CEO, IT Central Station

Let's go to the extreme and say you could only monitor one thing — that one thing would be microservice response time. In this brave new world, it's actually quite difficult to understand how well your revenue-critical application is performing. While traditional metrics still matter (CPU, memory, disk, etc), your response time on a microservice-by-microservice basis is the thing that matters the most. This single metric will tell you more about the customer experience than anything else. It will indicate downtime or more subtle performance problems in your application. While this metric alone will not tell you "why" something is going on, it will tell you "what" is happening and allow you to quickly isolate a problem to a handful of services or some set of underlying infrastructure.
Apurva Davé
CMO, Sysdig

IO PATH

As you evolve and enhance your company's hybrid data center infrastructure to keep pace with your industry, understanding your unique workload I/O DNA is paramount to success. Real-time monitoring of the I/O path – from the virtual server to the storage array – is essential to ensuring digital performance. For mission-critical applications, understanding the performance of each and every transaction is the cornerstone of customer satisfaction and revenue assurance.
Len Rosenthal
CMO, Virtual Instruments

Read Len Rosenthal's new blog on APMdigest: Infrastructure Monitoring for Digital Performance Assurance.

Read What You Should Be Monitoring to Ensure Digital Performance - Part 4, covering the infrastructure, including the cloud and the network.

Hot Topics

The Latest

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 ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

What You Should Be Monitoring to Ensure Digital Performance - Part 3

APMdigest asked experts from across the IT industry for their opinions on what IT departments should be monitoring to ensure digital performance. Part 3 covers the development side.

Start with What You Should Be Monitoring to Ensure Digital Performance - Part 1

Start with What You Should Be Monitoring to Ensure Digital Performance - Part 2

CODE ERRORS

Code-level issues are a common cause of application slowness and have fueled the need for distributed transaction tracing, which can help isolate the exact line of code with errors. This type of monitoring can also be effectively applied in both pre- and post-production environments, enabling us to prevent performance issues before they impact end users as well as help isolate them when they do occur.
When this type of application monitoring is done in context of infrastructure dependencies, it helps distinguish if there are other issues affecting application code processing, such as a bottleneck in the application server, long-running database queries, slow third-party calls, or other issues that may be associated with the application ecosystem. Applications are the heart of IT workloads, and application performance monitoring is critical to effectively ensure the performance of digital services.
John Worthington
Director, Product Marketing, eG Innovations

Digital performance is complex and can be measured in many ways, but one critical consideration is how well does the application do what it is supposed to do? Is it meeting a functional performance metric for customer expectations? To ensure this, organizations need to look at the "fingerprint" of each error in code to discern its importance as well as look at the number of critical errors per release. This dictates the overall functional reliability of the code. It also requires you to be code-aware, monitoring from inside the application at runtime, not surrounding it or listening to the exhaust.
Tal Weiss
CTO and Co-Founder, OverOps

Most people already know to monitor the obvious things, like total latency to response. But my favorite monitor comes from Anatoly Mikhaylov's talk at DASH this year. He spoke about finding massive infrastructure costs hidden in error codes. Adding APM monitoring to the errors in your endpoints can show costs you wouldn't otherwise see.
Kirk Kaiser
APM Developer Advocate, Datadog

APPLICATION RELEASE

When automating you application release, it's important to remember what you need to monitor. This will allow you to go as fast as possible, but also make sure you are doing it efficiently. Monitor your lead time, success vs failure rate and mean time to recovery will ensure you focus on value rather than on effort.
Yaniv Yehuda
Co-Founder and CTO, DBmaestro

API

One key area to make sure you monitor: API calls. There aren't many applications I come across these days that do not include some 3rd-party API, be it for authentication, analytics, storage, or customer relationship management. Such API calls can so greatly impact digital performance that not monitoring them to identify things such as performance slowdowns and dependencies is a prescription for pain.
Jean Tunis
Senior Consultant and Founder of RootPerformance

Cloud, containers and microservices are creating increasingly ephemeral, modular and volatile IT environments. In these dynamic environments, traditional monitoring approaches fail. A modern monitoring approach is required to provide complete visibility into the applications, containers, host and underlying supporting infrastructure. This includes having visibility into the performance of and data returning from APIs which have become a key component to any microservices architecture. A modern monitoring approach includes the analytics and intelligence to understand how changes might impact the overall user experience and flexible monitoring techniques that don't overload the containerized application environment.
Amy Feldman
Director, Product Marketing, CA Technologies

Finding a tool that fits seamlessly into your workflows, setting performance benchmarks, validating payloads, and getting visibility into the performance of API transactions is critical to help teams get rapidly identify and fix issues in production so that the delivered digital experience matches the vision for end-users.
Anand Sundaram
VP of Product, AlertSite UXM, SmartBear

APIs are the fundamental building block of modern software. While engineering teams have built extensive monitoring systems to check the health of code execution paths, they have little visibility into what's going on with APIs. An API failure can bring down systems and without proper monitoring in place, it can be very hard to debug what's going on.
Abhinav Asthana
CEO, Postman

CONTAINERS

The nature of development means systems are going to spring into existence and then back out again often, and that this rapid change is OK, which means your monitoring needs to be OK with it. The ability to monitor containers, ephemeral services, and the like, is a must.
Leon Adato
Head Geek, SolarWinds

MICROSERVICES

Real users who recently reviewed APM solutions in the IT Central Station community recommend monitoring microservices. Click here to learn more.
Russell Rothstein
Founder and CEO, IT Central Station

Let's go to the extreme and say you could only monitor one thing — that one thing would be microservice response time. In this brave new world, it's actually quite difficult to understand how well your revenue-critical application is performing. While traditional metrics still matter (CPU, memory, disk, etc), your response time on a microservice-by-microservice basis is the thing that matters the most. This single metric will tell you more about the customer experience than anything else. It will indicate downtime or more subtle performance problems in your application. While this metric alone will not tell you "why" something is going on, it will tell you "what" is happening and allow you to quickly isolate a problem to a handful of services or some set of underlying infrastructure.
Apurva Davé
CMO, Sysdig

IO PATH

As you evolve and enhance your company's hybrid data center infrastructure to keep pace with your industry, understanding your unique workload I/O DNA is paramount to success. Real-time monitoring of the I/O path – from the virtual server to the storage array – is essential to ensuring digital performance. For mission-critical applications, understanding the performance of each and every transaction is the cornerstone of customer satisfaction and revenue assurance.
Len Rosenthal
CMO, Virtual Instruments

Read Len Rosenthal's new blog on APMdigest: Infrastructure Monitoring for Digital Performance Assurance.

Read What You Should Be Monitoring to Ensure Digital Performance - Part 4, covering the infrastructure, including the cloud and the network.

Hot Topics

The Latest

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 ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...