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In addition to this, an OpenShift-native pod builds technology called Source-to-Image (S2I) is available out of the box, though this is slowly being phased out in favor of Tekton — which is a cloud native way of building and deploying to Kubernetes. For the OpenShift platform, this provides capabilities equivalent to what Jenkins can do.
The tools listed here support emulating [1] or simulating APIs and software systems. They are also called [2] API mocking tools, service virtualization tools, over the wire test doubles and tools for stubbing and mocking HTTP(S) and other protocols. [1] They enable component testing in isolation. [3]
CMake – Cross-platform build tool for configuring platform-specific builds; very popoular; integrated with IDEs such as Qt Creator, [1] KDevelop and GNOME Builder [2] GNU build system (aka Autotools) – Software build toolset from GNU Pages displaying short descriptions of redirect targets
N+M — In cases where a single cluster is managing many services, having only one dedicated failover node might not offer sufficient redundancy. In such cases, more than one (M) standby servers are included and available. The number of standby servers is a tradeoff between cost and reliability requirements.
An evaluation to induce chaos in a Kubernetes environment terminated random pods receiving data from edge devices in data centers while processing analytics on a big data network. The pods' recovery time was a resiliency metric that estimated the response time.
The GNU Autotools, also known as the GNU Build System, is a suite of build automation tools designed to support building source code and packaging the resulting binaries. It supports building a codebase for multiple target systems without customizing or modifying the code.
OS-level virtualization is an operating system (OS) virtualization paradigm in which the kernel allows the existence of multiple isolated user space instances, including containers (LXC, Solaris Containers, AIX WPARs, HP-UX SRP Containers, Docker, Podman), zones (Solaris Containers), virtual private servers (), partitions, virtual environments (VEs), virtual kernels (DragonFly BSD), and jails ...
The PoD is a repeatable design pattern, and its components maximize the modularity, scalability, and manageability of data centers." [ 1 ] The modular design principle has been applied to telephone and data networks, for instance through a repeatable node design describing the configuration of equipment housed in point of presence facilities.