The application development life cycle management (ADLM) tool market focuses on the planning and governance activities of the software development life cycle (SDLC). ADLM products focus on the 'development' portion of an application's life. Key elements of an ADLM solution include: software requirements definition and management, software change and configuration management, software project planning, with a current focus on agile planning, work item management, quality management, including defect management. Other key capabilities include: reporting, workflow, integration to version management, support for wikis and collaboration, strong facilities for integration to other ADLM tools.
Application platforms provide runtime environments for application logic. They manage the life cycle of an application or application component, and ensure the availability, reliability, scalability, security and monitoring of application logic. They typically support distributed application deployments across multiple nodes. Some also support cloud-style operations (elasticity, multitenancy and self-service).
Gartner defines communications service provider (CSP) service design and orchestration (SD&O) solutions as a component of the operations support systems (OSSs) to enable CSPs to design, fulfill and orchestrate services. These solutions are for use in physical, virtual, containerized and hybrid network environments for their clients in various market segments, such as consumer, enterprise and wholesale. These solutions include service design tools; policy tools; service and resource orchestration solutions; automation tools; and inventory management, provisioning and activation tools.
Reviews for 'Cloud Computing - Others'
Cloud management tooling enables organizations to manage hybrid and multicloud (that is, on-premises, public cloud and edge) services and resources. This includes providing governance, life cycle management, brokering and automation for managed cloud infrastructure resources across multiple functional areas. The tooling can be procured and operated by central IT organizations, such as I&O, cloud center of excellence (CCOE) and platform engineering/operations, or within specific lines of business. It can be deployed on-premises, in a customer’s public cloud account or purchased as a SaaS.
Gartner defines container management as offerings that support the deployment and operation of containerized workloads. It uses a combination of technologies (many open source) that enable agile application deployments and infrastructure modernization. Delivery methods include stand-alone software or as a service. Container management automates the provisioning, operation and life cycle management of containerized workloads at scale. Centralized governance and security policies are used to manage container workloads and associated resources. Container management supports the requirements of modern applications (also refactoring legacy applications), including platform engineering, cloud management and continuous integration/continuous delivery (CI/CD) pipelines. Benefits include improved agility, elasticity and access to innovation.
Reviews for 'Data Center - Others'
Distributed hybrid infrastructure (DHI) are solutions incorporating cloud-native infrastructure principles (e.g., programmability, elasticity, modularity and resiliency). DHI can be deployed and managed, delivering cloud services wherever the customer chooses, including on-premises, at the colocation, at the edge or in the public cloud. This flexibility sets DHI apart from traditional public cloud infrastructure as a service (IaaS), which typically relies on a centralized approach. Vendors fall into three categories, with distinct strategies: cloud platform providers, full stack hyperconverged vendors and software infrastructure platform providers. Their offerings include software and/or integrated hardware with a unified management and control plane. DHI serves as the foundation for deploying applications in a distributed manner, while maintaining a cloud-native or cloud-inspired approach. This approach enhances agility and flexibility for workloads that require deployment beyond the public cloud infrastructure and addresses potential limitations of traditional on-premises setups. DHI offers greater consistency, flexibility, mobility, isolation and availability across customer environments. Enterprises can benefit from the principles of cloud computing, while retaining the ability to deploy resources whenever and wherever they are needed, and provide options to address workload specific characteristics, such as latency, performance and data sovereignty. Infrastructure and operations (I&O) leaders targeting this market typically have strong hybrid needs and do not necessarily adhere to a cloud-only or cloud-first strategy, often maintaining substantial on-premises deployments. This strategic approach enables enterprises to harness the advantages of both environments, offering the flexibility needed to standardize and optimize operations, uphold performance and availability service-level agreements (SLAs), and support a variety of workloads.
Gartner defines file and object storage platforms as software and/or hardware platforms that offer object and distributed file system technologies for storing and managing unstructured data over NFS, SMB and Amazon S3 access protocols. File and object storage platforms store, secure, protect and scale an organization’s unstructured data with access over the network using protocols such as NFS, SMB and Amazon S3. Use cases include analytics, workload consolidation, backup and archiving, hybrid cloud, object-native applications, cloud IT operations, and high-performance files.
Reviews for 'IT Infrastructure and Operations Management - Others'
Server virtualization includes a range of technologies that abstract an underlying infrastructure layer (networking, storage and compute [including memory]). In doing so, it improves hardware utilization, workload portability, automation and availability. Server virtualization is most often associated with hypervisor-based server workloads running in data center environments on industry-standard servers. In reality, server virtualization incorporates multiple technologies, spans locations from public cloud to edge, and supports initiatives for both cloud-native transformation and infrastructure modernization. It includes hardware-, cloud- and software-based technologies.