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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

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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 ...