AIOps platforms analyze telemetry and events, and identify meaningful patterns that provide insights to support proactive responses. AIOps platforms have five characteristics: Cross-domain data ingestion and analytics Topology assembly from implicit and explicit sources of asset relationship and dependency Correlation between related or redundant events associated with an incident Pattern recognition to detect incidents, their leading indicators or probable root cause Association of probable remediation
Reviews for 'Application Development, Integration and Management - Others'
Gartner defines artificial intelligence applications in IT service management as tools that augment and extend IT service management (ITSM) workflows using AI. These analyze ITSM data and metadata (primarily found in ITSM platforms) to provide intelligent advice and actions on ITSM practices and workflows, such as IT service desk and support activities. This software can either be a stand-alone product, capabilities within an ITSM platform or an add-on to an ITSM platform.
Data masking is based on the premise that sensitive data can be transformed into less sensitive but still useful data. This is necessary to satisfy application testing use cases that require representative and coherent data, as well as analytics that involve the use of aggregate data for scoring, model building and statistical reporting. The market for data protection, DM included, continues to evolve with technologies designed to redact, anonymize, pseudonymize, or in some way deidentify data in order to protect it against confidentiality or privacy risk.
Gartner defines DataOps as the collaborative data management practice focusing on improving communication, continuous integration, automation, observability and operations of data flows between data managers, data consumers, and their teams across the organization. DataOps tools connect and orchestrate data pipelines across heterogeneous systems. Data and analytics leaders are the buyers in this emerging market. The primary audience for DataOps tools is “data manager” personas like, data engineers, data integration developers, operations/incident analysts, database administrators and data architects. The secondary audience is “data consumer” personas like business analysts, business intelligence developers, data scientists and citizen roles (departmental users who are domain experts, but less technical).
Reviews for 'IT Infrastructure and Operations Management - Others'
Gartner defines IT service management (ITSM) platforms as software that offers workflow management that enables organizations to design, automate, plan, manage, report on and deliver integrated IT services and related digital experiences. Supported practices include request, incident, problem, change, knowledge and configuration management, and case management, as well as interfaces for non-IT business needs. ITSM platforms are typically acquired as SaaS; however, they are also sold as on-premises deployments. I&O leaders select these solutions to be consumed by service desks and service operations, and are identifying opportunities for business workflows in other IT-adjacent departments.
Infrastructure monitoring tools capture the health and resource utilization of IT infrastructure components, no matter where they reside (e.g., in a data center, at the edge, infrastructure as a service [IaaS] or platform as a service [PaaS] in the cloud). This enables I&O leaders to monitor and collate the availability and resource utilization data of physical and virtual entities — including servers, containers, network devices, database instances, hypervisors and storage. These tools collect data in real time and perform historical data analysis or trending of the elements they monitor.
Integrated systems combine server, shared storage and network devices, along with management software and support in a preintegrated stack. The integrated system market has four segments: integrated infrastructure system, integrated reference architecture, integrated stack system and hyperconverged infrastructure (HCI) segment. The overall HCI segment is further subdivided into Hyperconverged Integrated Systems (HCIS), which provides both software and hardware in an appliance model and the software only segment in which vendors provide the Hyperconverged software. This is then integrated with HW by a reseller or the end customer.
Gartner defines observability platforms as products that ingest telemetry (operational data) from a variety of sources including, but not limited to, logs, metrics, events and traces. They are used to understand the health, performance and behavior of applications, services and infrastructure. Observability platforms enable an analysis of the telemetry, either via human operator or machine intelligence, to determine changes in system behavior that impact end-user experience such as outages or performance degradation. This allows for early, and even preemptive, problem remediation. Observability solutions are used by IT operations, site reliability engineers, cloud and platform teams, application developers, and product owners. Observability platforms are used by organizations to understand and improve the availability, performance and resilience of these critical applications and services. Investment in and successful deployment of observability platforms leads to revenue loss avoidance and enables faster product development cycles and improvements in brand perception.
Gartner defines the service orchestration and automation platform (SOAP) market as encompassing solution suites that deliver capabilities enabling organizations to manage workloads, workflows, resource provisioning and data pipelines across their technology landscapes. SOAPs enable infrastructure and operations (I&O) leaders to design and implement business services. These platforms combine workflow orchestration, workload automation and resource provisioning across an organization’s hybrid digital infrastructure. Increasingly, they are central to an organization’s ability to deploy workloads and to optimize deployments as a part of cost and availability initiatives. SOAPs expand the role of traditional workload automation by adapting to use cases that deliver and extend into data pipelines, cloud-native infrastructures and application architectures. These tools complement and integrate with DevOps toolchains to provide customer-focused agility, cost savings, operational efficiency and process standardization.
Software asset management (SAM) tools are solutions that provide automation to support tasks required to produce and maintain compliance with independent software vendor (ISV) license use rights, while improving an organization’s ability to proactively identify and optimize software risk and spend. SAM tools provide in-depth software asset analysis through: - Conducting discovery - Analyzing software license entitlements - Automating the collection of software consumption data - Establishing ISV effective license position (ELP) - Governing software assets - Optimizing software value delivery - Sharing information with other tools and stakeholders
VA solutions identify, categorize and prioritize vulnerabilities as well as orchestrate their remediation or mitigation. Their primary focus is vulnerability and security configuration assessments for enterprise risk identification and reduction, and reporting against various compliance standards. VA can be delivered via on-premises, hosted and cloud-based solutions, and it may use appliances and agents. Core capabilities include: - Discovery, identification and reporting on device, OS, software vulnerabilities and configuration against security-related criteria - Establishing a baseline for systems, applications and databases to identify and track changes in state - Reporting options for compliance, control frameworks and multiple roles Standard capabilities include: - Pragmatic remediation prioritization with the ability to correlate vulnerability severity, asset context and threat context that then presents a better picture of true risk for your specific environment - Guidance for remediating and configuring compensating controls - Management of scanner instances, agents and gateways - Direct integration with, or API access to, asset management tools, workflow management tools and patch management tools