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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

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...

In today's fast-paced AI landscape, CIOs, IT leaders, and engineers are constantly challenged to manage increasingly complex and interconnected systems. The sheer scale and velocity of data generated by modern infrastructure can be overwhelming, making it difficult to maintain uptime, prevent outages, and create a seamless customer experience. This complexity is magnified by the industry's shift towards agentic AI ...

In MEAN TIME TO INSIGHT Episode 19, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA explains the cause of the AWS outage in October ... 

The explosion of generative AI and machine learning capabilities has fundamentally changed the conversation around cloud migration. It's no longer just about modernization or cost savings — it's about being able to compete in a market where AI is rapidly becoming table stakes. Companies that can't quickly spin up AI workloads, feed models with data at scale, or experiment with new capabilities are falling behind faster than ever before. But here's what I'm seeing: many organizations want to capitalize on AI, but they're stuck ...

On September 16, the world celebrated the 10th annual IT Pro Day, giving companies a chance to laud the professionals who serve as the backbone to almost every successful business across the globe. Despite the growing importance of their roles, many IT pros still work in the background and often go underappreciated ...

Artificial Intelligence (AI) is reshaping observability, and observability is becoming essential for AI. This is a two-way relationship that is increasingly relevant as enterprises scale generative AI ... This dual role makes AI and observability inseparable. In this blog, I cover more details of each side ...