What is AIOps? Simply put, AIOps uses big data, analytics and machine learning to automate and improve IT operations (ITOps). AI is particularly important in ITOps functions such as anomaly detection and event correlation, as it has the ability to analyze large volumes of network and machine data to find patterns, identify the cause of existing problems and find ways to forecast and prevent future issues.

What is OpenTelemetry? Simply put, OpenTelemetry is an open source observability framework. It offers vendor-agnostic or vendor-neutral APIs, software development kits (SDKs) and other tools for collecting telemetry data from cloud-native applications and their supporting infrastructure to understand their performance and health. Managing performance in today’s complex, distributed environment is extremely difficult.

For the past 20 years, the various stakeholder communities that together constitute the IT industry have attempted to address sustainability. The original efforts grew out of the realisation that even as far back as 2005, the hardware and software that underlay the digital world were responsible for approximately 5% of overall energy consumption and that both the percentage and absolute amounts of energy required were growing in the double digits.

What is Customer Data Management? Simply put, customer data management (CDM) is a discipline that encompasses the process, strategy, tools and policies an organization employs to acquire, manage, store and use data about its customers, specifically for marketing purposes.

What is ITOM? Information technology operations management (ITOM) is the administration and management of an organization’s hardware, network, applications and technology needs. Generally regarded as the true meaning of “tech support,” it is a service-centric approach to IT infrastructure, IT support operations, IT networking and end user support.

Predictive modeling is the process of using known results to create a statistical model that can be used for predictive analysis, or to forecast future behaviors. It’s a tool within predictive analytics, a field of data mining that tries to answer the question: “What is likely to happen next?”

In in order to achieve DevOps success, you must measure how well your DevOps initiatives work. Tracking the right DevOps metrics will help you evaluate the effectiveness of your DevOps practices. In this article, I’ll explain many DevOps metrics, including their significance, the key metrics for various goals, and — best of all — tips for improving the score of each DevOps metric discussed here.

ITSM, which stands for IT service management, is a strategy for delivering IT services and support to an organization, its employees, customers and business partners. ITSM focuses on understanding end users’ expectations and improving the quality of both IT services and their delivery. In the early days of computers, employees relied on the company IT department for help whenever a computer issue arose.

In the world of business management and performance tracking, OKRs, KPIs, and Metrics are common terms thrown around. Each plays a distinct role in helping organizations define their vision, measure their progress, and improve their performance. Let's dive deep into understanding the nuanced differences between these three concepts.

Simply put: Observability is the ability to measure the internal states of a system by examining its outputs. A system is considered “observable” if the current state can be estimated by only using information from outputs, namely sensor data. More than just a buzzword, the term “observability” originated decades ago with control theory (which is about describing and understanding self-regulating systems).