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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 .
• 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 .
• 57 % of respondents agree the volume of alerts they receive is problematic . Leaders experience
far less alert noise , with 85 % remediating half or more of their alerts due to recommendations from AI / ML-powered tools . In stark contrast , only 16 % of beginning organisations say the same .
• 65 % of leaders lean on AIOps to pinpoint and remediate the root cause of incidents with greater intelligence and automation .
Platform engineering ushers in the DevOps future
Platform engineering is driving and enhancing the developer experience , with 73 % of respondents practicing it extensively . At its core , platform engineering embodies an approach where software engineers utilise common toolchains , workflows and self-service platforms , so they can spend less time managing their tools and focus more on pushing new , innovative products to market .
This discipline comes at a welcome time for over extended ITOps and engineering teams as 66 % of respondents say critical staff have left in the past year due to burnout .
• Organisations with dedicated teams to the practice are seeing the payoffs . When asked to rank their top three platform engineering outcomes , 55 % of respondents say increased IT operations efficiency , 42 % say improved application performance and 40 % say increased developer productivity .
• 58 % of leaders view platform engineering as a competitive differentiator .
Methodology
The global survey was conducted in May and June 2024 in partnership with the Enterprise Strategy Group . The report surveyed 1,850 ITOps staff , managers and executives , in addition to developers , engineers , architects and SREs from organisations with 500 or more fulltime employees and who are knowledgeable about their organization ’ s observability practice . The survey respondents were drawn from 10 countries : Australia , France , Germany , Italy , India , Japan , New Zealand , Singapore , the United Kingdom and the United States . They also represented 16 industries : aerospace and defense , business services , consumer packaged goods , education , financial services , government , healthcare , life sciences , manufacturing , technology , media , oil / gas , retail / wholesale , telecom , transportation / logistics and utilities .
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