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.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...