2021 Application Performance Management Predictions - Part 4

Industry experts — from analysts and consultants to users and the top vendors — offer thoughtful, insightful, and often controversial predictions on how APM and related technologies will evolve and impact business in 2021. Part 4 covers logs, mobile APM and more.

Start with: 2021 Application Performance Management Predictions - Part 1

Start with: 2021 Application Performance Management Predictions - Part 2

Start with: 2021 Application Performance Management Predictions - Part 3

MORE AUTOMATED MONITORING

Organizations will look to move a much higher number of workloads to the cloud, and will also begin monitoring a much larger portion of their overall application portfolio. The reasons for both changes is are the same/related. The cloud providers are providing more ways to handle hybrid and multi-cloud environments, while simultaneously growing their individual IaaS and PaaS offerings. This will require a more automated approach to monitoring in general, which will open the door for easier to setup and maintain hands-off monitoring of any operating application. New solutions that have automation across the board AND support for observability APIs will be poised to quickly and easily monitor any operating workload.
Pavlo Baron
CTO and Co-Founder, Instana

RE-EVALUATION OF LOG MANAGEMENT

In 2021, enterprises will continue to embrace cloud and serverless infrastructure, and in doing so, will drive the need for more modern tools. With teams moving quickly and continually spinning resources up and down, it will become increasingly important to have a way to look back at those resources when incidents arise. This influx of log data will push enterprises to re-evaluate their log management strategy and the solutions that support it.
Morten Gram
CRO, Humio

As most organizations learn to cope with massive volumes of logs during the Covid-19 pandemic, Log Management solutions will likely see an increased focus on their analytical capabilities in 2021. Organizations will leverage their log files to derive unique insights on customer issues, performance problems, detecting what's changed and making that useful and consumable for the user.
Renaud Boutet
VP of Product, Datadog

INTEGRATION BETWEEN LOG ANALYSIS AND MONITORING

More teams will begin the implementation phase of their AIOps strategies, and a major focus will be seamless integration between their application monitoring and log analysis solutions. The highest level of implementation will center around contextual data sharing and functional UX integration. In that mode, users will be able to jump from an application incident into log analysis, focused on the machine or system logs identified as the problem. Meanwhile, users will be able to jump directly from their log analysis into a deep dive within their APM and Observability platforms. This allows Dev+Ops to use the best possible analysis tool (log or application) no matter where they began their investigation.
Mirko Novakovic
CEO and Co-Founder, Instana

CODE MONITORING

Over the past few years, organizations have embraced the more robust concept of "observability" over traditional systems monitoring. Adoption of these technologies has accelerated dramatically as more companies move to modern architecture and containerized applications. But the single biggest thing happening in digital transformation right now involves the volume of code being generated to support the skyrocketing number of digital services and applications and the increasing frequency of code updates. And yet, when you consider every layer of tech from the user to the core systems, code is the layer that is least often monitored. Moving into 2021, more companies will begin to incorporate code monitoring as a critical component within the observability stack. The ability to understand how code impacts the performance of applications and how users experience the frontend of those applications is a gap that will be bridged. Connecting the creators of code to those who consume it will improve application health and provide for better user experiences, ensuring those who incorporate code monitoring into their observability stack have a competitive advantage.
Milin Desai
CEO, Sentry

MOVING AWAY FROM MONITORING-AS-CODE

DevOps teams often follow an everything-as-code philosophy, from network & infrastructure creation, application deployment to configuration. Monitoring is increasingly not considered as a separate activity but a part of a CI/CD pipeline. Therefore engineers add health checks, alerting policies and dashboards as part of their pipeline adopting monitoring as code practices. But Monitoring-as-Code has its price. By developing and integrating Monitoring-as-Code, DevOps teams focus less and less on what matters most: delivering business value with new features but also with high availability and performance. Instead of spending effort to add Monitoring-as-Code, DevOps teams have an increasing need for readymade monitoring tools that can do all the above out-of-the-box, that can get integrated and auto-scale together with infrastructures. Teams will move from managing complexity to integrating monitoring tools that will manage the monitoring complexity.
Manos Saratis
Senior Product Manager, Netdata

PERFORMANCE AND LOAD TESTING AT API LEVEL

Successful eCommerce organizations will continue to identify new opportunities to optimize performance across every facet of engagement with their customers. No longer is it "enough" for your homepage to load quickly, or for a credit card transactions to process smoothly, to keep customers happy. Customers are tapping their foot and considering where else they can take their business with every second-too-long they have to wait for a password reset email, shipping confirmation, live chat response, or product demo video to load. Performance and load testing will also become critical at the API level in order to test not only your own org's capabilities, but those of all the external partners and integrations you and your customers rely on as well.
Noel Wurst
Software Testing Evangelist and Sr. Manager, Communications, SmartBear

IMPROVED MOBILE APM METRICS

Mobile Application Health Metrics Evolve: To remain engaged with customers, nearly every company is investing in ways to improve their mobile strategy, which means delivering flawless user experiences is crucial to retaining a competitive advantage. Developers work tirelessly to deliver updates that improve application stability, add new features and enhance usability, but without visibility into what users are experiencing, it can be difficult to stay ahead of issues. The challenge is complicated by the vast array of devices and platforms, which can perform differently even if a company's backend systems are healthy. With mobile apps increasingly important for business, we will see skyrocketing demand for tools that provide visibility into how users are experiencing applications across all devices and platforms. Metrics such as version adoption, crash-free sessions, crash-free users, and insight into the impact of crashes and bugs as they relate to user experience will be critical components of reporting and measuring mobile application health.
Milin Desai
CEO, Sentry

IT Central Station reviewers have been impressed with the scalability of mobile APM's alerting systems, helping their companies respond remotely on a global scale. A key suggestion for improvement this year was the need to have better drill down capabilities on user interfaces. We expect vendors to adjust their responsive interfaces next year to meet this demand.
Russell Rothstein
Founder and CEO, IT Central Station

CONFIGURATION DATA MANAGEMENT PLATFORMS

Practices for testing applications have matured to a point where problems from code and security defects are diminishing. However, as adoption of Cloud and modern architectures continues to expand, configuration changes still cause issues due to the complexity of managing an increasing sprawl of configuration data across the DevOps lifecycle. Even mature DevOps practitioners are not immune with major outages at Facebook, Twitter, and Google being blamed on configuration changes.* In 2021 we're going to see the rise of Configuration Data Management platforms with the ability to centralize, manage and secure configuration data to reduce outages and improve resilience.
RJ Jainendra
VP and GM, IT Business Management and DevOps, ServiceNow

SINGLE PAGE APPLICATIONS

Even though the concept of single-page applications has been a popular trend, only recently have eCommerce solutions been catching up to the hype and acknowledging the advantages of headless e-commerce. 2021 will see a massive transition from server-side rendering eCommerce solutions to single-page ones, as brands prioritize performance and speed even more.
Sergio Granada
CTO, Talos Commerce

REPLATFORMING TO SAAS

We are about to witness the mass extinction of dinosaurs — vendors with on-prem software who have been dragging their feet on replatforming to a SaaS solution. They will try desperately to hang on to existing customers while pivoting investments, people and messaging with the promise of their new SaaS-centric, all-in-one platform.
Cari Jaquet
VP of Marketing, BigPanda

Watch on-demand: The IT Ops Virtual Summit

Go to: 2021 Application Performance Management Predictions - Part 5, covering the ITOps team.

Related Links

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How AI Agents Are Reshaping DataOps for the Always-On Enterprise

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

AI Deepfakes: Rethinking Trust in the Workplace

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Nine in Ten Enterprises Plan Cloud Data Repatriation amid Rising Cloud Costs and Data Sovereignty Mandates

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 ...

Why ITOps Need Right-Sized AI, Not Bigger Models

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 ...

The End of Reactive DevOps: AI-Driven Observability for Zero-Defect Digital Systems

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 ...

5 Takeaways from the Observability Forecast for Media and Entertainment

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 ...

Why Moving Off the Cloud Is the Easy Part and What Comes Next Is Where Things Get Hard

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 ...

MEAN TIME TO INSIGHT Podcast - Episode 24: Network Observability Tool Sprawl

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

Capacity Isn't a Guess: Observability-Driven Sizing for On-Prem Databases

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 ...

5 Security Principles Every Entrepreneur Should Apply to Leadership

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 ...

2021 Application Performance Management Predictions - Part 4

Industry experts — from analysts and consultants to users and the top vendors — offer thoughtful, insightful, and often controversial predictions on how APM and related technologies will evolve and impact business in 2021. Part 4 covers logs, mobile APM and more.

Start with: 2021 Application Performance Management Predictions - Part 1

Start with: 2021 Application Performance Management Predictions - Part 2

Start with: 2021 Application Performance Management Predictions - Part 3

MORE AUTOMATED MONITORING

Organizations will look to move a much higher number of workloads to the cloud, and will also begin monitoring a much larger portion of their overall application portfolio. The reasons for both changes is are the same/related. The cloud providers are providing more ways to handle hybrid and multi-cloud environments, while simultaneously growing their individual IaaS and PaaS offerings. This will require a more automated approach to monitoring in general, which will open the door for easier to setup and maintain hands-off monitoring of any operating application. New solutions that have automation across the board AND support for observability APIs will be poised to quickly and easily monitor any operating workload.
Pavlo Baron
CTO and Co-Founder, Instana

RE-EVALUATION OF LOG MANAGEMENT

In 2021, enterprises will continue to embrace cloud and serverless infrastructure, and in doing so, will drive the need for more modern tools. With teams moving quickly and continually spinning resources up and down, it will become increasingly important to have a way to look back at those resources when incidents arise. This influx of log data will push enterprises to re-evaluate their log management strategy and the solutions that support it.
Morten Gram
CRO, Humio

As most organizations learn to cope with massive volumes of logs during the Covid-19 pandemic, Log Management solutions will likely see an increased focus on their analytical capabilities in 2021. Organizations will leverage their log files to derive unique insights on customer issues, performance problems, detecting what's changed and making that useful and consumable for the user.
Renaud Boutet
VP of Product, Datadog

INTEGRATION BETWEEN LOG ANALYSIS AND MONITORING

More teams will begin the implementation phase of their AIOps strategies, and a major focus will be seamless integration between their application monitoring and log analysis solutions. The highest level of implementation will center around contextual data sharing and functional UX integration. In that mode, users will be able to jump from an application incident into log analysis, focused on the machine or system logs identified as the problem. Meanwhile, users will be able to jump directly from their log analysis into a deep dive within their APM and Observability platforms. This allows Dev+Ops to use the best possible analysis tool (log or application) no matter where they began their investigation.
Mirko Novakovic
CEO and Co-Founder, Instana

CODE MONITORING

Over the past few years, organizations have embraced the more robust concept of "observability" over traditional systems monitoring. Adoption of these technologies has accelerated dramatically as more companies move to modern architecture and containerized applications. But the single biggest thing happening in digital transformation right now involves the volume of code being generated to support the skyrocketing number of digital services and applications and the increasing frequency of code updates. And yet, when you consider every layer of tech from the user to the core systems, code is the layer that is least often monitored. Moving into 2021, more companies will begin to incorporate code monitoring as a critical component within the observability stack. The ability to understand how code impacts the performance of applications and how users experience the frontend of those applications is a gap that will be bridged. Connecting the creators of code to those who consume it will improve application health and provide for better user experiences, ensuring those who incorporate code monitoring into their observability stack have a competitive advantage.
Milin Desai
CEO, Sentry

MOVING AWAY FROM MONITORING-AS-CODE

DevOps teams often follow an everything-as-code philosophy, from network & infrastructure creation, application deployment to configuration. Monitoring is increasingly not considered as a separate activity but a part of a CI/CD pipeline. Therefore engineers add health checks, alerting policies and dashboards as part of their pipeline adopting monitoring as code practices. But Monitoring-as-Code has its price. By developing and integrating Monitoring-as-Code, DevOps teams focus less and less on what matters most: delivering business value with new features but also with high availability and performance. Instead of spending effort to add Monitoring-as-Code, DevOps teams have an increasing need for readymade monitoring tools that can do all the above out-of-the-box, that can get integrated and auto-scale together with infrastructures. Teams will move from managing complexity to integrating monitoring tools that will manage the monitoring complexity.
Manos Saratis
Senior Product Manager, Netdata

PERFORMANCE AND LOAD TESTING AT API LEVEL

Successful eCommerce organizations will continue to identify new opportunities to optimize performance across every facet of engagement with their customers. No longer is it "enough" for your homepage to load quickly, or for a credit card transactions to process smoothly, to keep customers happy. Customers are tapping their foot and considering where else they can take their business with every second-too-long they have to wait for a password reset email, shipping confirmation, live chat response, or product demo video to load. Performance and load testing will also become critical at the API level in order to test not only your own org's capabilities, but those of all the external partners and integrations you and your customers rely on as well.
Noel Wurst
Software Testing Evangelist and Sr. Manager, Communications, SmartBear

IMPROVED MOBILE APM METRICS

Mobile Application Health Metrics Evolve: To remain engaged with customers, nearly every company is investing in ways to improve their mobile strategy, which means delivering flawless user experiences is crucial to retaining a competitive advantage. Developers work tirelessly to deliver updates that improve application stability, add new features and enhance usability, but without visibility into what users are experiencing, it can be difficult to stay ahead of issues. The challenge is complicated by the vast array of devices and platforms, which can perform differently even if a company's backend systems are healthy. With mobile apps increasingly important for business, we will see skyrocketing demand for tools that provide visibility into how users are experiencing applications across all devices and platforms. Metrics such as version adoption, crash-free sessions, crash-free users, and insight into the impact of crashes and bugs as they relate to user experience will be critical components of reporting and measuring mobile application health.
Milin Desai
CEO, Sentry

IT Central Station reviewers have been impressed with the scalability of mobile APM's alerting systems, helping their companies respond remotely on a global scale. A key suggestion for improvement this year was the need to have better drill down capabilities on user interfaces. We expect vendors to adjust their responsive interfaces next year to meet this demand.
Russell Rothstein
Founder and CEO, IT Central Station

CONFIGURATION DATA MANAGEMENT PLATFORMS

Practices for testing applications have matured to a point where problems from code and security defects are diminishing. However, as adoption of Cloud and modern architectures continues to expand, configuration changes still cause issues due to the complexity of managing an increasing sprawl of configuration data across the DevOps lifecycle. Even mature DevOps practitioners are not immune with major outages at Facebook, Twitter, and Google being blamed on configuration changes.* In 2021 we're going to see the rise of Configuration Data Management platforms with the ability to centralize, manage and secure configuration data to reduce outages and improve resilience.
RJ Jainendra
VP and GM, IT Business Management and DevOps, ServiceNow

SINGLE PAGE APPLICATIONS

Even though the concept of single-page applications has been a popular trend, only recently have eCommerce solutions been catching up to the hype and acknowledging the advantages of headless e-commerce. 2021 will see a massive transition from server-side rendering eCommerce solutions to single-page ones, as brands prioritize performance and speed even more.
Sergio Granada
CTO, Talos Commerce

REPLATFORMING TO SAAS

We are about to witness the mass extinction of dinosaurs — vendors with on-prem software who have been dragging their feet on replatforming to a SaaS solution. They will try desperately to hang on to existing customers while pivoting investments, people and messaging with the promise of their new SaaS-centric, all-in-one platform.
Cari Jaquet
VP of Marketing, BigPanda

Watch on-demand: The IT Ops Virtual Summit

Go to: 2021 Application Performance Management Predictions - Part 5, covering the ITOps team.

Related Links

Hot Topics

The Latest

How AI Agents Are Reshaping DataOps for the Always-On Enterprise

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

AI Deepfakes: Rethinking Trust in the Workplace

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Nine in Ten Enterprises Plan Cloud Data Repatriation amid Rising Cloud Costs and Data Sovereignty Mandates

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 ...

Why ITOps Need Right-Sized AI, Not Bigger Models

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 ...

The End of Reactive DevOps: AI-Driven Observability for Zero-Defect Digital Systems

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 ...

5 Takeaways from the Observability Forecast for Media and Entertainment

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 ...

Why Moving Off the Cloud Is the Easy Part and What Comes Next Is Where Things Get Hard

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 ...

MEAN TIME TO INSIGHT Podcast - Episode 24: Network Observability Tool Sprawl

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

Capacity Isn't a Guess: Observability-Driven Sizing for On-Prem Databases

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 ...

5 Security Principles Every Entrepreneur Should Apply to Leadership

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 ...