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Engineers Waste 25% of the Work Week on Troubleshooting

It's time to rethink the industry's approach to observability in a cloud native world
Rachel Dines
Chronosphere

Driven by the need to create scalable, faster, and more agile systems, businesses are adopting cloud native approaches. But cloud native environments also come with an explosion of data and complexity that makes it harder for businesses to detect and remediate issues before everything comes to a screeching halt. Observability, if done right, can make it easier to mitigate these challenges and remediate incidents before they become major customer-impacting problems.

To understand the challenges teams face while working on cloud native environments — and what happens when their observability functions fall short — Chronosphere surveyed over 500 engineers and software developers. The culmination is the 2023 Cloud Native Observability Report: Overcoming Cloud Native Complexity, which details the promise and pitfalls of cloud native observability in 2023.

The report revealed that engineers waste an average of 10 hours or 25% of every work week trying to triage and understand incidents. Nearly all (96%) report that they spend most of their time resolving low level issues, and a third say that the stress of this constant troubleshooting is disrupting their personal lives. The aggregation of lost hours is costing US businesses over $44 billion productivity each year. This lack of efficiency is especially troublesome in today's economy where everyone is being asked to do more with less and watching the bottom line has become today's business mantra.


The silver lining is that observability offers massive benefits beyond remediation of incidents. 67% of those surveyed say having a strong observability function provides the foundation for all business value and 71% say their business can't innovate effectively without good observability. Yet, paradoxically, most surveyed aren't satisfied with their current solution, saying it's too slow, lacks context, requires a lot of time and effort, and is generally unhelpful.

All of this points to the conclusion that observability is required for business success — and perhaps business survival — but that the current approaches and solutions need to be completely rethought if they are to be sustainable in what is becoming a cloud native world.

What does a strong observability solution look like? It's not checking boxes on metrics, tracing, and logs — they are a means to an end. Strong observability enables teams to know, triage and understand so they can have quicker and better outcomes. The good news is that teams with a holistic plan backed by a modern observability vendor can provide a boost over other options. In fact, those using a vendor solution are detecting issues 65% faster than those without a cohesive approach. The survey also notes businesses using vendor solutions are three times more satisfied with their approach to observability than those using home-built solutions.

Chart the right course and observability can efficiently and effectively safeguard your business from incidents that jeopardize your brand. For those that take a wrong turn, it's often at their own peril. Without effective solutions, engineering talent will be lost, time that could have been spent on innovation will be wasted, and companies will be at risk of losing customers and significant revenue.

Rachel Dines is Head of Product and Developer Marketing at Chronosphere

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Engineers Waste 25% of the Work Week on Troubleshooting

It's time to rethink the industry's approach to observability in a cloud native world
Rachel Dines
Chronosphere

Driven by the need to create scalable, faster, and more agile systems, businesses are adopting cloud native approaches. But cloud native environments also come with an explosion of data and complexity that makes it harder for businesses to detect and remediate issues before everything comes to a screeching halt. Observability, if done right, can make it easier to mitigate these challenges and remediate incidents before they become major customer-impacting problems.

To understand the challenges teams face while working on cloud native environments — and what happens when their observability functions fall short — Chronosphere surveyed over 500 engineers and software developers. The culmination is the 2023 Cloud Native Observability Report: Overcoming Cloud Native Complexity, which details the promise and pitfalls of cloud native observability in 2023.

The report revealed that engineers waste an average of 10 hours or 25% of every work week trying to triage and understand incidents. Nearly all (96%) report that they spend most of their time resolving low level issues, and a third say that the stress of this constant troubleshooting is disrupting their personal lives. The aggregation of lost hours is costing US businesses over $44 billion productivity each year. This lack of efficiency is especially troublesome in today's economy where everyone is being asked to do more with less and watching the bottom line has become today's business mantra.


The silver lining is that observability offers massive benefits beyond remediation of incidents. 67% of those surveyed say having a strong observability function provides the foundation for all business value and 71% say their business can't innovate effectively without good observability. Yet, paradoxically, most surveyed aren't satisfied with their current solution, saying it's too slow, lacks context, requires a lot of time and effort, and is generally unhelpful.

All of this points to the conclusion that observability is required for business success — and perhaps business survival — but that the current approaches and solutions need to be completely rethought if they are to be sustainable in what is becoming a cloud native world.

What does a strong observability solution look like? It's not checking boxes on metrics, tracing, and logs — they are a means to an end. Strong observability enables teams to know, triage and understand so they can have quicker and better outcomes. The good news is that teams with a holistic plan backed by a modern observability vendor can provide a boost over other options. In fact, those using a vendor solution are detecting issues 65% faster than those without a cohesive approach. The survey also notes businesses using vendor solutions are three times more satisfied with their approach to observability than those using home-built solutions.

Chart the right course and observability can efficiently and effectively safeguard your business from incidents that jeopardize your brand. For those that take a wrong turn, it's often at their own peril. Without effective solutions, engineering talent will be lost, time that could have been spent on innovation will be wasted, and companies will be at risk of losing customers and significant revenue.

Rachel Dines is Head of Product and Developer Marketing at Chronosphere

Hot Topics

The Latest

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

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 ...