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AIOps, Monitoring & Analytics Glossary

Explore key AIOps technologies and topics.

Behind the sleek interface of today's applications can be a complex array of microservices, containers, APIs, middleware and backend services—spanning mobile, cloud and on-premises. The digital delivery chain can be difficult to monitor, presenting organizations challenges in delivering consistent, stellar digital experiences. AIOps solutions bring together end-to-end monitoring with advanced analytics to deliver the capabilities and insight you need to thrive in today’s digital economy. This glossary provides information on key related topics. Check back from time to time to learn the latest trends in this space.

What is AIOps?

AIOps is the use of advanced algorithms and artificial intelligence techniques for analyzing big data from various IT and business operations tools, to speed service delivery, increase IT efficiency and deliver a superior user experience. AIOps enables a move away from siloed operations management and provides intelligent insights that drives automation and collaboration for continuous improvement.

What is App Analytics?

App analytics tools provide real-time insight into performance and user experience across Web, wearable and mobile apps. With detailed metrics such as app usage, retention, and crashes by carrier, device and platform, you'll gain a better understanding of your users’ digital experience, so you can continuously improve quality, design and performance. App analytics tools combine capabilities that are typically delivered by multiple tools in a single-pane of glass view for a complete view of the customer experience. 

What is API Monitoring?

API monitoring provides visibility into the performance of APIs and related microservices, allowing DevOps teams to understand and address emerging issues, and collaborate more effectively across the API lifecycle. Metrics gathered at the API service layer are put into the context of application monitoring for root-cause analysis. Customizable visualizations of API performance metrics help predict service impacts and make sure SLAs are met. Finally, API monitoring  enables oversight into API-driven microservices in direct relation to application infrastructure and backend services.

What is Application Monitoring?

Application monitoring is the process to ensure that software applications, systems and networks maintain the levels of performance needed to support business outcomes. This process is used by DevOps practitioners to measure and evaluate the performance of software application elements (from application to infrastructure) and as the primary means to detect, triage and remediate performance issues. As application complexity increases, application monitoring tools also employ analytics to reduce false-alarms, pinpoint anomalies and predict problems.

What is AWS Application Monitoring?

AWS application monitoring enables organizations to maintain a high-quality customer experience by monitoring the availability and performance of applications that have components running on Amazon Web Services (AWS). AWS application monitoring also helps organizations detect emerging application performance problems across AWS auto-scaling groups and resources. It also enables the rapid triage of problems with automated, detailed transaction traces while helping to better match application workloads to AWS instance types through ongoing analysis of performance patters over time. Finally, AWS application monitoring can help correlates AWS topology changes to application performance to help prevent service interruption.

What is AWS Monitoring?

AWS monitoring involves the monitoring and analytics for Amazon Web Services (AWS) environments. AWS monitoring gives an understanding of where issues are or may arise, resulting in a faster mean time to repair and better end-user experience for services running on AWS. It also provides quality-of-service metrics, usage metering, service-centric insights and alarming to help you get the insights you need to meet SLAs, boost uptime and control costs and usage. With an AWS monitoring solution that can monitor both cloud and hybrid environments, your staff can boost the experience and utilization of your AWS infrastructure.

What is Cloud Monitoring?

With cloud monitoring, you can deliver optimal performance for both public and hybrid cloud-based infrastructure. It gives you the tools you need to proactively deliver the best experience from your cloud-based environments. When your cloud monitoring solution can manage both on-premises and cloud infrastructure in a unified way, you can quickly find and fix problems that might arise during cloud migration. Additionally, a cloud monitoring tool that monitors hybrid cloud environments can help simplify and reduce costs when compared to managing multiple tools.

What is Container Monitoring?

Container monitoring has become an essential APM tool for DevOps to rapidly develop and deploy innovative, cloud-based applications by incorporating new approaches in metric capture, correlation, analytics, transaction tracing, and visualization. Container monitoring can provide complete visibility to tame container chaos and simplify complexity, help optimize performance in constantly changing applications, give insights in massively scalable environments and flexible monitoring that can monitor both containerized and traditional environments together. 

What is Digital Experience Monitoring?

Digital experience monitoring provides digital operations monitoring and analytics for the end to end digital delivery chain—from user to app and application components through to the infrastructure and back end services. Digital experience monitoring is best provided through an integrated set of end-user analytics, application performance and infrastructure management services that provide a holistic view into the user experience, business transactions and digital infrastructure. With digital experience monitoring, developers and IT ops teams can gain deep application and infrastructure visibility, cross-tier correlated insights, and guided problem resolution to ensure the delivery of exceptional digital experiences.

What is Docker Monitoring?

Organizations are embracing Docker to speed development, but a lack of performance visibility across more complex application architectures can compromise this goal. What’s now needed are modern monitoring approaches that natively support Docker and don’t overburden teams with lengthy configurations and unnecessary overhead. Modern APM better supports Docker with a low-touch, maximum visibility approach, including automatic flow and dependency mapping, adaptive baselining and performance correlation across hosts, containers and applications–in the most complex and demanding distributed microservices architectures.

What is Elasticsearch?

Elasticsearch is a highly-scalable distributed, RESTful search and analytics engine. When used as the foundation of a digital experience monitoring  and analytics platform it can provide a highly performant, scalable, real-time data ingestion and processing analytics platform to help you deliver flawless digital experiences.

What is Internet of Things Monitoring (IoT Monitoring)?

With IoT monitoring, you can analyze dynamic systems and process billions of events and alerts. IoT monitoring also enables you to bridge the gap between devices and business by collecting and analyzing diverse IoT data at web-scale across connected devices, customers and applications. You can bridge performance gaps by optimizing performance across multiple applications, APIs, networks and protocols. You also gain actionable insights to improve customer experience, remediate problems and maximize IoT opportunities. 

What is IT Operations Analytics (ITOA)?

IT Operations Analytics (ITOA) is an approach to IT operations data that allows you to understand and make decisions about your IT environment. Although ITOA tools emerged to bring visibility to IT teams operating in specialized scenarios, they don’t operate well in today’s complex and heterogeneous environments. A new breed of ITOA tools better respond to the needs of IT pros responsible for complex applications. Driven by advancements in machine learning and big-data technologies, ITOA 2.0 deployments include sophisticated data-collection tools, a central data repository and advanced analytics applications to help turn your data into answers.

What is IT Operations Management (ITOM)?

IT Operations Management concerns the allocation, deployment, monitoring and management of IT resources that support digital business processes, both internal and customer-facing. IT Operations Management  requires full-stack monitoring and analytics for applications, infrastructure and networks across cloud and on-premises, from mobile to mainframe to support the goals of speeding service delivery, increasing IT efficiency and delivering a superior user experience.

What is OpenShift Monitoring?

As container platforms such as OpenShift gain traction in the enterprise, traditional monitoring approaches that worked well for traditional monolithic application architectures have become ineffective. What’s now needed are modern approaches that keep track of application performance across more dynamic containers, without overburdening teams with complex maps and manual thresholding that just generate noise and false-alarms. Modern APM better supports OpenShift with an agentless approach to auto-generate more dynamic and flow-maps, deeper instrumentation when necessary, and the ability to correlate performance across applications, hosts and containers.

What is Server Monitoring Software? 

Server monitoring software helps organizations manage servers across many hardware platforms and operating systems. Server monitoring software also provides for quick and easy deployment and the ability to easily manage servers from the smallest environments to the highest levels of enterprise scalability. With intuitive visualization and reporting you can fix server related problems faster including server response time issues.

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