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8 Action Points for IT Leaders to Deliver Innovation in a Sustainable Way

Gregg Ostrowski
AppDynamics

Across all industries, the speed of innovation continues to soar, as deployment of no code and low platforms enables IT teams to accelerate application release velocity. In the latest research from Cisco AppDynamics, The Age of Application Observability, the majority of technologists predict that increased adoption of these cloud native technologies will deliver applications at least four times over the coming years.

Cloud native technologies are already delivering game-changing benefits to many organizations, providing the agility and resilience to respond effectively to constantly evolving customer needs and enabling hybrid work. And they create a platform for brands to deliver ever more intuitive and personalized digital experiences to consumers, building loyalty and engagement and opening up new revenue streams.

However, with IT teams all over the world concerned because of the intense pressure they are now facing, there is now a growing realization that many organizations simply can't sustain the current pace of innovation; not unless they adopt new approaches and working practices within their IT departments and implement new tools to help technologists manage an increasingly complex and fragmented IT estate.

Currently, IT teams don't have the tools and visibility they need to manage availability and performance across hybrid environments, with no clear line of sight for applications where components are running across both cloud native and on-premises technologies. This is making it impossible for teams to rapidly troubleshoot issues and significantly raising the potential for disruption and downtime to customer-facing applications.

For all the effort and investment that organizations are directing towards digital transformation and cloud migration, they're now at risk of not being able to maximize their returns, because technologists aren't able to deliver the seamless digital experiences that customers now demand at all times.

In the study, technologists acknowledge the need for urgent change within the IT department to better manage application performance, and they point to eight key action points for all organizations to establish a more sustainable approach to innovation:

1. Application observability across hybrid environments

78% of technologists state that the increased volume of data from multi-cloud and hybrid environments is making manual monitoring impossible. And this is why, more than anything else, technologists point to application observability across hybrid environments as important for their organization to deliver accelerated and sustainable innovation.

Rather than using separate monitoring tools across on-premises and cloud native technologies, application observability provides IT teams with unified visibility across their entire IT estate. This means they can easily detect issues, understand root causes and remediate issues in a timely way, bringing down metrics such as Mean Time To Resolution (MTTR). As many as 97% of technologists now see a critical need for their organization to move from a monitoring approach to an application observability solution to manage their hybrid environment.

2. Strategic technology partners

64% of technologists admit that they find it difficult to differentiate between application observability and monitoring solutions. And this lack of clarity in the market is slowing down buying decisions and implementation timelines. Therefore, technologists recognize the need to lean on the expertise and consultancy of trusted partners to ensure they select the right application observability solution for their business. Critically, this means finding a tool which serves its purpose now but also supports and eases their journey towards cloud native technologies over the coming years.

3. Unified teams

Within many organizations, the introduction of cloud native technologies (and the associated new teams) has created major siloes between people, processes, and data within the IT department. New teams such as Site Reliability Engineer (SRE) and CloudOps are working in isolation from legacy teams looking after on-premises technologies, and security teams aren't being integrated into the application development lifecycle until the very last minute.

Technologists recognize the need for much closer collaboration between teams to manage hybrid environments. With application observability in place, all IT teams can come together around a single source of truth and adopt new approaches such as DevSecOps, where security has input into development from day one.

4. Shared vision and execution plans

Linked to the above, IT leaders need to develop and communicate a shared vision for all technologists, as opposed to each team or discipline working towards their own individual goals. They need to inspire technologists around their innovation plans at an organization-wide level and incentivize the entire IT department to achieve common goals. Encouragingly, 88% of technologists state that they are open to sharing KPIs with other teams.

5. Fully skilled team

Recruiting and developing the right IT skills to deliver digital transformation remains a major challenge for all organizations, and this is being accentuated by rapid adoption of cloud native technologies which require very specialist skills.

IT leaders need to develop creative and far-reaching strategies to engage with new talent pools, as well as focusing on upskilling programs for existing employees. Crucially, IT leaders need to ensure that all technologists are widening their skill sets, and expanding their knowledge and appreciation of other disciplines in order to operate within cross-functional teams.

6. Leadership buy-in for new approaches and tools to manage performance

Unfortunately, 71% of technologists state that leaders within their organization do not fully understand that modern applications need modern approaches and tools to manage availability, performance and security. That needs to change in order for IT teams to get the budget and senior sponsorship required to implement new tools and affect cultural change.

Technologists need to build robust business cases for application observability approaches and solutions, highlighting the role that application observability needs to play in enabling brands to meet customer expectations for seamless digital experiences. Crucially, technologists need to demonstrate how application observability must be the foundation for sustainable innovation and for organizations to compete and differentiate in the market.

7. Modern metrics to link IT performance to business transactions

Most IT departments don't have the insights they need to measure the impact of IT on the business. They're still deploying separate monitoring tools across their IT estate so can't get a complete picture to link IT data with business metrics.

Technologists are therefore looking for application observability solutions which allow IT teams to correlate IT data with business metrics. The ability to access business transaction insights in real-time, and then analyze them in business-level dashboards, is vital for teams to prioritize issues based on severity and potential impact on customers and the business. Technologists can focus their efforts in the right places to maximize their impact.

8. Ability to validate investment in cloud native technologies

Within all sectors, IT leaders report that they're coming under increasing pressure to demonstrate the value that their innovation initiatives — and cloud investment in particular — are bringing to the business. This pressure is likely to intensify as economic conditions continue to be challenging and organizations look to streamline costs.

Application observability enables technologists to track, measure and report on the impact that their innovation programs are generating. IT leaders can make insight-driven decisions on where to focus investments based on what will have the biggest benefit for customers, employees, and ultimately, the business. In this way, application observability is essential for organizations to reap the full benefits of their accelerated innovation programs, and to build on their current momentum.

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

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8 Action Points for IT Leaders to Deliver Innovation in a Sustainable Way

Gregg Ostrowski
AppDynamics

Across all industries, the speed of innovation continues to soar, as deployment of no code and low platforms enables IT teams to accelerate application release velocity. In the latest research from Cisco AppDynamics, The Age of Application Observability, the majority of technologists predict that increased adoption of these cloud native technologies will deliver applications at least four times over the coming years.

Cloud native technologies are already delivering game-changing benefits to many organizations, providing the agility and resilience to respond effectively to constantly evolving customer needs and enabling hybrid work. And they create a platform for brands to deliver ever more intuitive and personalized digital experiences to consumers, building loyalty and engagement and opening up new revenue streams.

However, with IT teams all over the world concerned because of the intense pressure they are now facing, there is now a growing realization that many organizations simply can't sustain the current pace of innovation; not unless they adopt new approaches and working practices within their IT departments and implement new tools to help technologists manage an increasingly complex and fragmented IT estate.

Currently, IT teams don't have the tools and visibility they need to manage availability and performance across hybrid environments, with no clear line of sight for applications where components are running across both cloud native and on-premises technologies. This is making it impossible for teams to rapidly troubleshoot issues and significantly raising the potential for disruption and downtime to customer-facing applications.

For all the effort and investment that organizations are directing towards digital transformation and cloud migration, they're now at risk of not being able to maximize their returns, because technologists aren't able to deliver the seamless digital experiences that customers now demand at all times.

In the study, technologists acknowledge the need for urgent change within the IT department to better manage application performance, and they point to eight key action points for all organizations to establish a more sustainable approach to innovation:

1. Application observability across hybrid environments

78% of technologists state that the increased volume of data from multi-cloud and hybrid environments is making manual monitoring impossible. And this is why, more than anything else, technologists point to application observability across hybrid environments as important for their organization to deliver accelerated and sustainable innovation.

Rather than using separate monitoring tools across on-premises and cloud native technologies, application observability provides IT teams with unified visibility across their entire IT estate. This means they can easily detect issues, understand root causes and remediate issues in a timely way, bringing down metrics such as Mean Time To Resolution (MTTR). As many as 97% of technologists now see a critical need for their organization to move from a monitoring approach to an application observability solution to manage their hybrid environment.

2. Strategic technology partners

64% of technologists admit that they find it difficult to differentiate between application observability and monitoring solutions. And this lack of clarity in the market is slowing down buying decisions and implementation timelines. Therefore, technologists recognize the need to lean on the expertise and consultancy of trusted partners to ensure they select the right application observability solution for their business. Critically, this means finding a tool which serves its purpose now but also supports and eases their journey towards cloud native technologies over the coming years.

3. Unified teams

Within many organizations, the introduction of cloud native technologies (and the associated new teams) has created major siloes between people, processes, and data within the IT department. New teams such as Site Reliability Engineer (SRE) and CloudOps are working in isolation from legacy teams looking after on-premises technologies, and security teams aren't being integrated into the application development lifecycle until the very last minute.

Technologists recognize the need for much closer collaboration between teams to manage hybrid environments. With application observability in place, all IT teams can come together around a single source of truth and adopt new approaches such as DevSecOps, where security has input into development from day one.

4. Shared vision and execution plans

Linked to the above, IT leaders need to develop and communicate a shared vision for all technologists, as opposed to each team or discipline working towards their own individual goals. They need to inspire technologists around their innovation plans at an organization-wide level and incentivize the entire IT department to achieve common goals. Encouragingly, 88% of technologists state that they are open to sharing KPIs with other teams.

5. Fully skilled team

Recruiting and developing the right IT skills to deliver digital transformation remains a major challenge for all organizations, and this is being accentuated by rapid adoption of cloud native technologies which require very specialist skills.

IT leaders need to develop creative and far-reaching strategies to engage with new talent pools, as well as focusing on upskilling programs for existing employees. Crucially, IT leaders need to ensure that all technologists are widening their skill sets, and expanding their knowledge and appreciation of other disciplines in order to operate within cross-functional teams.

6. Leadership buy-in for new approaches and tools to manage performance

Unfortunately, 71% of technologists state that leaders within their organization do not fully understand that modern applications need modern approaches and tools to manage availability, performance and security. That needs to change in order for IT teams to get the budget and senior sponsorship required to implement new tools and affect cultural change.

Technologists need to build robust business cases for application observability approaches and solutions, highlighting the role that application observability needs to play in enabling brands to meet customer expectations for seamless digital experiences. Crucially, technologists need to demonstrate how application observability must be the foundation for sustainable innovation and for organizations to compete and differentiate in the market.

7. Modern metrics to link IT performance to business transactions

Most IT departments don't have the insights they need to measure the impact of IT on the business. They're still deploying separate monitoring tools across their IT estate so can't get a complete picture to link IT data with business metrics.

Technologists are therefore looking for application observability solutions which allow IT teams to correlate IT data with business metrics. The ability to access business transaction insights in real-time, and then analyze them in business-level dashboards, is vital for teams to prioritize issues based on severity and potential impact on customers and the business. Technologists can focus their efforts in the right places to maximize their impact.

8. Ability to validate investment in cloud native technologies

Within all sectors, IT leaders report that they're coming under increasing pressure to demonstrate the value that their innovation initiatives — and cloud investment in particular — are bringing to the business. This pressure is likely to intensify as economic conditions continue to be challenging and organizations look to streamline costs.

Application observability enables technologists to track, measure and report on the impact that their innovation programs are generating. IT leaders can make insight-driven decisions on where to focus investments based on what will have the biggest benefit for customers, employees, and ultimately, the business. In this way, application observability is essential for organizations to reap the full benefits of their accelerated innovation programs, and to build on their current momentum.

Gregg Ostrowski is CTO Advisor at Cisco AppDynamics

Hot Topics

The Latest

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 ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...