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Observability Has a Complexity Problem

Dotan Horovits
Logz.io

The journey of maturing observability practices for users entails navigating peaks and valleys. Users have clearly witnessed the maturation of their monitoring capabilities, embraced DevOps practices, and adopted cloud and cloud-native technologies.

Notwithstanding that, we witness the gradual increase of the Mean Time To Recovery (MTTR) for production issues year over year. In this year's (2023) DevOps Pulse survey, conducted by Logz.io, 73% of respondents stated that it took multiple hours on average to resolve production issues.


In comparison, in 2022 only 64% of respondents said the same and only 47% cited this in the year prior. Why is that? The answer seems to lie within the growing overall system complexity, due to the adoption of Kubernetes and cloud-native technologies and practices, as practitioners reported on the survey.

The findings from the report indicate that DevOps practices show signs of maturity and growth within organizations. One such example is that 45% of users have fully adopted and embraced DevOps practices — a 7% increase compared to 38% the year before. Similarly, there has been significant uptake of cloud adoption, as evidenced by the fact that 78% of organizations have either partially or fully transitioned to the cloud this year.

However, as maturity advances, a notable trend is surfacing: the mean time to recovery (MTTR) for production issues has been steadily increasing year over year, as witnessed in the above survey results. A leading cause for the substantial increase in MTTR for organizations is the rising adoption of cloud-native technologies and their intricacies.

Technologies such as Kubernetes generate abundant and complex data, making it difficult to monitor and troubleshoot. As such, these technologies were cited by 46% of respondents as the most difficult obstacle for organizations to gain full observability of their environment.

Kubernetes specifically stands out as a challenging tool for observability users, both in terms of monitoring and running it in production. Over 40% of survey responses stated that monitoring and gaining full observability is one of the key challenges of running Kubernetes. This statistic has grown from 2022, in which only 31% of respondents cited this exact figure. Outside of observability, respondents also noted challenges with Kubernetes security and cluster networking functionality.

In the 2023 report, security was highlighted as another area of major focus for DevOps practitioners, with over 30% of respondents stating that a shared model is used for security and observability. As these teams take on the responsibility of security, they are running into issues with centralizing security data and outlining clear roles and responsibilities for their teams.

One of the most challenging factors of security implementation is tool integration for cloud-native technologies. In fact, nearly 50% of respondents highlighted that implementing security for Kubernetes is the most difficult aspect of running it in production. The dynamic environment, distributed architecture, and overall complexity and scale of these technologies can further compound the difficulty of implementing comprehensive security practices.

The escalating complexity within IT systems also led to a surge in telemetry data volumes, consequently driving up the expenses associated with observability. In response, organizations have implemented various strategies to mitigate observability costs, including the adoption of open source tools as part of their overall approach.

The report shows that roughly 53% of this year's respondents stated that half or more of their observability tools are open source. The uptick from last year is notable, as only 37% of 2022 survey respondents indicated that half or more of their tools were open source. Respondents cited the lower cost of ownership (36%), ease of integration (47%), and benefits of the open source community (33%) as some of the key reasons for open source tool adoption.

As organizations face increasing complexity in observability, collecting and gathering insights from observability practitioners remains paramount. By utilizing their expertise, organizations can navigate the evolving landscape and make informed decisions to optimize their observability practices.

Dotan Horovits is Principal Developer Advocate at Logz.io

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Observability Has a Complexity Problem

Dotan Horovits
Logz.io

The journey of maturing observability practices for users entails navigating peaks and valleys. Users have clearly witnessed the maturation of their monitoring capabilities, embraced DevOps practices, and adopted cloud and cloud-native technologies.

Notwithstanding that, we witness the gradual increase of the Mean Time To Recovery (MTTR) for production issues year over year. In this year's (2023) DevOps Pulse survey, conducted by Logz.io, 73% of respondents stated that it took multiple hours on average to resolve production issues.


In comparison, in 2022 only 64% of respondents said the same and only 47% cited this in the year prior. Why is that? The answer seems to lie within the growing overall system complexity, due to the adoption of Kubernetes and cloud-native technologies and practices, as practitioners reported on the survey.

The findings from the report indicate that DevOps practices show signs of maturity and growth within organizations. One such example is that 45% of users have fully adopted and embraced DevOps practices — a 7% increase compared to 38% the year before. Similarly, there has been significant uptake of cloud adoption, as evidenced by the fact that 78% of organizations have either partially or fully transitioned to the cloud this year.

However, as maturity advances, a notable trend is surfacing: the mean time to recovery (MTTR) for production issues has been steadily increasing year over year, as witnessed in the above survey results. A leading cause for the substantial increase in MTTR for organizations is the rising adoption of cloud-native technologies and their intricacies.

Technologies such as Kubernetes generate abundant and complex data, making it difficult to monitor and troubleshoot. As such, these technologies were cited by 46% of respondents as the most difficult obstacle for organizations to gain full observability of their environment.

Kubernetes specifically stands out as a challenging tool for observability users, both in terms of monitoring and running it in production. Over 40% of survey responses stated that monitoring and gaining full observability is one of the key challenges of running Kubernetes. This statistic has grown from 2022, in which only 31% of respondents cited this exact figure. Outside of observability, respondents also noted challenges with Kubernetes security and cluster networking functionality.

In the 2023 report, security was highlighted as another area of major focus for DevOps practitioners, with over 30% of respondents stating that a shared model is used for security and observability. As these teams take on the responsibility of security, they are running into issues with centralizing security data and outlining clear roles and responsibilities for their teams.

One of the most challenging factors of security implementation is tool integration for cloud-native technologies. In fact, nearly 50% of respondents highlighted that implementing security for Kubernetes is the most difficult aspect of running it in production. The dynamic environment, distributed architecture, and overall complexity and scale of these technologies can further compound the difficulty of implementing comprehensive security practices.

The escalating complexity within IT systems also led to a surge in telemetry data volumes, consequently driving up the expenses associated with observability. In response, organizations have implemented various strategies to mitigate observability costs, including the adoption of open source tools as part of their overall approach.

The report shows that roughly 53% of this year's respondents stated that half or more of their observability tools are open source. The uptick from last year is notable, as only 37% of 2022 survey respondents indicated that half or more of their tools were open source. Respondents cited the lower cost of ownership (36%), ease of integration (47%), and benefits of the open source community (33%) as some of the key reasons for open source tool adoption.

As organizations face increasing complexity in observability, collecting and gathering insights from observability practitioners remains paramount. By utilizing their expertise, organizations can navigate the evolving landscape and make informed decisions to optimize their observability practices.

Dotan Horovits is Principal Developer Advocate at Logz.io

Hot Topics

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...