TRENDING
observability sophistication : foundational visibility ; guided insights ; proactive response and unified workflows .
Based on this framework , respondents were placed into one of four stages of observability maturity : ‘ Beginning ’ organisations ( 45 %); ‘ Emerging ’ organisations ( 27 %); ‘ Evolving ’ organisations ( 17 %); and lastly , ‘ Leading ’ organisations or ‘ Leaders ’ ( 11 %).
Building a leading observability practice means being obsessed with delivering incredible digital experiences to your customers .
Speed gives leading organisations an edge in software development velocity . Seventy-six percent of leaders deploy the majority of their application code on demand , in contrast to 30 % of beginners .
In addition , developers in leading organisations spend 38 % more of their time on innovation than beginning organisations , which means having to spend less time on toilsome work like troubleshooting and triaging incidents . It ’ s clear that for leading organisations , increased developer productivity and output drive profitability .
“ Building a leading observability practice means being obsessed with delivering incredible digital experiences to your customers , and embedding that mindset into every decision ,” said Patrick Lin , Senior Vice President and General Manager , Observability at Splunk . “ Our report shows this mindset pays off . Leaders not only achieve greater success in mitigating downtime , they also see greater developer innovation and speed .”
OpenTelemetry is the bedrock to a successful observability practice
OpenTelemetry , an open-source , industry-standard for collecting data , is becoming more widely adopted . The Cloud Native Computing Foundation ( CNCF ) project gives organisations control over their data and alleviates vendor lock-in . The report highlights how OpenTelemetry is the foundation of an effective observability practice , with 58 % saying their observability solution relies on OpenTelemetry .
Leaders resolve issues quicker , reducing the impact of downtime
By adopting a leading observability practice , an organisation can understand their entire digital footprint and reduce the impacts of downtime . Sixtyeight percent of leading organisations say they ’ re aware of application problems within minutes or seconds of an outage – 2.8 times faster than the rate of beginning organisations .
Leading organisations estimate 80 % of alerts are legitimate , in contrast to 54 % from beginning organisations , providing greater certainty and reducing time spent on resolving false alarms . This difference in accuracy and response time is significant as customer expectations for seamless and secure digital experiences are at an all-time high . Research shows downtime can dilute customer loyalty and damage public perception .
• OpenTelemetry signifies innovation and resilience , with 78 % of leaders embracing the open-source standard and 57 % experiencing lower observability costs .
• OpenTelemetry offers unparalleled flexibility . 72 % of leaders embrace OpenTelemetry to access a broader ecosystem of technologies , and 65 % say the open-source project facilitates better control and ownership of data .
AI elevates operational efficiency
Using AI and ML ( Machine Learning ) within observability is table stakes . Nearly all survey respondents ( 97 %) use AI and / or ML-powered systems to enhance their observability operations – a significant jump from 66 % of respondents surveyed last year .
Through AI and ML ’ s abilities to analyse and process large volumes of data to detect anomalies , identify root causes , recommend actions and automate tasks , teams get the insight they need more rapidly .
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