Why Visibility is Critical for DevOps Teams

Michael Segal
Learn more about NetScout

According to recent reports, the majority of businesses now use cloud computing in one form or another. Innovation and agility are key to success in today's fast-moving, competitive environment, and with many legacy systems no longer able to keep up with the demands of digital transformation, it's little surprise that more than two thirds of enterprise workloads are now reported to be in the cloud.

As businesses look to capitalize on the benefits offered by the cloud, we've seen the rise of the DevOps practice which, in common with the cloud, offers businesses the advantages of greater agility, speed, quality and efficiency.

However, achieving this agility requires end-to-end visibility based on continuous monitoring of the developed applications as part of the software development life cycle (SDLC) in order to achieve a common situational awareness; without which, DevOps teams can find themselves hindered, causing innovation to stall.

Reaching Maturity

In simple terms, the role of DevOps is to produce new software, based on business needs, at very high speed, and of the highest possible quality of user experience given the constraints under which they operate. A continuous delivery pipeline, for example, could mean as many as several releases a day, each of which requires code to be built, tested, and integrated before being deployed, and each of which must deliver a responsive, reliable service with virtually no downtime.

The functionality of a DevOps team can be impacted by the level of its maturity, however, which can be influenced by two factors. The first of these is the cultural dimension; the team's ability to collaborate effectively, owning the overall DevOps mission as opposed to meeting specific objectives of the individual teams that comprise the whole, such as Operations or QA.

Before mastering this aspect, developers tend to be focused on the speed of software delivery, QA tends to focus on testing predefined use cases, while Operations concentrates on monitoring the production environment. Each team is focused on its own domain and is often siloed off from the others, without utilizing an effective feedback loop and establishing a common situational awareness.

At this stage of organizational maturity, the DevOps team will be focused more on accelerating and optimizing the effectiveness of its individual domains using technologies such as version control management, continuous integration, automated testing, automated deployment and configuration management. Increasing DevOps maturity relies on additional technologies for continuous monitoring, improved visibility, telemetry, feedback loops, and situational awareness. Achieving this, however, can prove challenging.

Visibility and Insights

Consider a situation in which developers build the code for an application, QA tests it based on common use cases, and then the release manager oversees its integration into the mainline and its subsequent deployment. At this point, Operations might find a problem that only manifests at scale, requiring Dev teams to quickly pinpoint the issue and rectify it by developing new code that functions correctly in the product environment.

It's here, then, that visibility is most crucial, providing all parties with common situational awareness. Rather than relying on Ops to highlight issues, in this example Dev teams are able instead to look on the system and see the same situation themselves, and thereby better understand the parameters within which they need to work. Doing so will save time and create more effective feedback loops which would enable to adjust the development and QA processes to detect similar issues early on in the SDLC or even prevent them from occurring altogether.

Achieving this level of visibility requires the use of smart data – metadata based on processing and organizing wire data at the point of collection, and optimizing it for analytics at the highest speed and quality. By analyzing every IP packet that traverses the network during a development cycle and beyond – in real time – smart data delivers meaningful and actionable insights, creating a common situational awareness for all teams. This then enables those teams, from developers through QA to IT Operations, to work together within constantly evolving parameters, avoiding any bottlenecks in the feedback loop.

Opportunity for Innovation

Digital transformation, and the role of the cloud within it, are integral to an organization's innovation. With more applications and services being migrated to the cloud, however, a host of new, unprecedented challenges are emerging.

This is particularly true for DevOps teams, charged with producing quality code at speed. To reach the level of maturity at which they can function most efficiently and effectively requires siloes of work to be broken down across the organization to foster a culture of collaboration and continuous communication. The visibility, insight and common situational awareness offered by smart data can help achieve this, freeing up the potential of DevOps, and affording organizations a greater opportunity for innovation.

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Why Visibility is Critical for DevOps Teams

Michael Segal
Learn more about NetScout

According to recent reports, the majority of businesses now use cloud computing in one form or another. Innovation and agility are key to success in today's fast-moving, competitive environment, and with many legacy systems no longer able to keep up with the demands of digital transformation, it's little surprise that more than two thirds of enterprise workloads are now reported to be in the cloud.

As businesses look to capitalize on the benefits offered by the cloud, we've seen the rise of the DevOps practice which, in common with the cloud, offers businesses the advantages of greater agility, speed, quality and efficiency.

However, achieving this agility requires end-to-end visibility based on continuous monitoring of the developed applications as part of the software development life cycle (SDLC) in order to achieve a common situational awareness; without which, DevOps teams can find themselves hindered, causing innovation to stall.

Reaching Maturity

In simple terms, the role of DevOps is to produce new software, based on business needs, at very high speed, and of the highest possible quality of user experience given the constraints under which they operate. A continuous delivery pipeline, for example, could mean as many as several releases a day, each of which requires code to be built, tested, and integrated before being deployed, and each of which must deliver a responsive, reliable service with virtually no downtime.

The functionality of a DevOps team can be impacted by the level of its maturity, however, which can be influenced by two factors. The first of these is the cultural dimension; the team's ability to collaborate effectively, owning the overall DevOps mission as opposed to meeting specific objectives of the individual teams that comprise the whole, such as Operations or QA.

Before mastering this aspect, developers tend to be focused on the speed of software delivery, QA tends to focus on testing predefined use cases, while Operations concentrates on monitoring the production environment. Each team is focused on its own domain and is often siloed off from the others, without utilizing an effective feedback loop and establishing a common situational awareness.

At this stage of organizational maturity, the DevOps team will be focused more on accelerating and optimizing the effectiveness of its individual domains using technologies such as version control management, continuous integration, automated testing, automated deployment and configuration management. Increasing DevOps maturity relies on additional technologies for continuous monitoring, improved visibility, telemetry, feedback loops, and situational awareness. Achieving this, however, can prove challenging.

Visibility and Insights

Consider a situation in which developers build the code for an application, QA tests it based on common use cases, and then the release manager oversees its integration into the mainline and its subsequent deployment. At this point, Operations might find a problem that only manifests at scale, requiring Dev teams to quickly pinpoint the issue and rectify it by developing new code that functions correctly in the product environment.

It's here, then, that visibility is most crucial, providing all parties with common situational awareness. Rather than relying on Ops to highlight issues, in this example Dev teams are able instead to look on the system and see the same situation themselves, and thereby better understand the parameters within which they need to work. Doing so will save time and create more effective feedback loops which would enable to adjust the development and QA processes to detect similar issues early on in the SDLC or even prevent them from occurring altogether.

Achieving this level of visibility requires the use of smart data – metadata based on processing and organizing wire data at the point of collection, and optimizing it for analytics at the highest speed and quality. By analyzing every IP packet that traverses the network during a development cycle and beyond – in real time – smart data delivers meaningful and actionable insights, creating a common situational awareness for all teams. This then enables those teams, from developers through QA to IT Operations, to work together within constantly evolving parameters, avoiding any bottlenecks in the feedback loop.

Opportunity for Innovation

Digital transformation, and the role of the cloud within it, are integral to an organization's innovation. With more applications and services being migrated to the cloud, however, a host of new, unprecedented challenges are emerging.

This is particularly true for DevOps teams, charged with producing quality code at speed. To reach the level of maturity at which they can function most efficiently and effectively requires siloes of work to be broken down across the organization to foster a culture of collaboration and continuous communication. The visibility, insight and common situational awareness offered by smart data can help achieve this, freeing up the potential of DevOps, and affording organizations a greater opportunity for innovation.

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

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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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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 ...

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