What new technologies are being used to measure IT service performance?

In the IT performance saga, AI and Machine Learning emerge as digital detectives. Think of them as tech sleuths, tirelessly analyzing data for performance clues. It's like having smart assistants in your IT orchestra, fine-tuning each note. These technologies aren't just tools; they're the Sherlock Holmes of IT, uncovering insights and solving mysteries, ensuring your IT service performance is a symphony of efficiency and excellence.

Novas tecnologias como AIOps (Operações de TI baseadas em Inteligência Artificial), machine learning e analytics avançados. AIOps integra análise de dados, automação e aprendizado de máquina para prever e resolver problemas de forma proativa. Ferramentas de machine learning analisam grandes volumes de dados para identificar padrões e otimizar operações. Além disso, a utilização de analytics avançados oferece insights detalhados sobre a performance de sistemas, aplicativos e infraestrutura, permitindo uma tomada de decisão mais informada para melhorar continuamente os serviços de TI.

AI (Artificial Intelligence) and machine learning technologies are increasingly utilized to measure and enhance IT service performance. These technologies analyze vast datasets, predict potential issues, automate routine tasks, and optimize system operations, thereby improving service reliability and efficiency.

While all the public cloud providers at least these 5 that I have experienced to a great degree, AWS, Azure, GCP, IBM Cloud & Oracle do provide most granular events, logs natively and make it easily consumable by self-serve, easy to use dashboards, it is still quite tricky to see the real 'wood for the trees' at an enterprise level when you are in the business of Customer Journeys really. For a bank that typically translates into customer-onboarding journeys, account opening journeys, payments and transfers journeys and if these journeys are partially or completely on a or multiple public cloud then you have to build/stitch a top down view and allowing double clicking down to most granular public cloud service level.

Cloud computing is a foundational technology used to measure IT service performance. It enables scalable, on-demand access to computing resources, allowing for flexible monitoring, analysis, and management of IT services. Cloud-based solutions provide real-time insights, enhanced collaboration, and cost-effective performance measurement capabilities for IT services.

IoT (Internet of Things) and Big Data technologies are revolutionizing IT service performance measurement. IoT devices collect real-time data, providing insights into network performance, user behavior, and system health. Big Data analytics processes this information, uncovering patterns and trends, enabling proactive troubleshooting, optimization, and predictive maintenance in IT services.

Blockchain and smart contracts contribute to IT service performance measurement by ensuring transparency, security, and reliability in data recording and transactions. Blockchain technology provides an immutable and decentralized ledger, ensuring accuracy and integrity in performance-related data. Smart contracts automate and enforce agreements, enhancing accountability and efficiency in service-level agreements (SLAs) and performance measurement processes.