Horizontal Pod Autoscaler
Horizontal Pod Autoscaler (HPA) is a Kubernetes feature that automatically adjusts the number of running pods in a workload, such as a Deployment or StatefulSet, based on resource utilization. This
Horizontal Pod Autoscaler (HPA) is a Kubernetes feature that automatically adjusts the number of running pods in a workload, such as a Deployment or StatefulSet, based on resource utilization. This
Horizontal scaling in cloud computing means increasing or decreasing computational capacity by adding or removing multiple servers or nodes to handle changing workloads. This approach ensures improved performance and fault
Definition A Host-Based Intrusion Detection System (HIDS) is cybersecurity technology installed on individual host devices such as servers, workstations, and mobile devices. It monitors the system for suspicious activities and
Definition A hotfix is a rapid software update deployed to fix a critical issue in a live production environment. It is typically applied outside the standard release cycle to address
What is Human-AI Collaboration? Human-AI collaboration refers to how humans and artificial intelligence work together to improve efficiency, productivity, and innovation. Instead of AI replacing human roles, this approach combines
Idle resources in cloud computing refer to computing assets, such as virtual machines (VMs), storage, databases, or other services, that remain active but are underutilized or not performing productive tasks.
Definition Incremental Deployment is a software deployment strategy in which updates or new features are released gradually instead of deploying the entire system at once. This approach minimizes risks, improves
An inference engine is a component of artificial intelligence (AI) systems that applies logical rules to data to draw conclusions or make decisions. It works with a knowledge base that
Definition Infrastructure as a Service (IaaS) is a cloud computing model that provides on-demand resources over the Internet. These resources include virtualized hardware such as servers, storage, networking, and virtualization
Definition An Ingress Controller is a component in Kubernetes that manages external access to services within a cluster, primarily handling HTTP and HTTPS traffic. It acts as a specialized load
An instance scheduler is a tool or service that automates the management of cloud computing instances, such as virtual machines (VMs) or databases, by starting or stopping them based on
Instance types in cloud computing refer to predefined configurations of virtual machines (VMs) offered by cloud service providers. Each instance type specifies a combination of compute power (CPU), memory, storage,
What is Intent Classification? Intent classification is a natural language processing (NLP) component that determines the purpose behind a user’s input in text or speech. It enables AI systems to
Definition A Jenkinsfile is a text file used in Jenkins to define a Continuous Integration/Continuous Deployment (CI/CD) pipeline as code. Written in Groovy-based syntax, it enables automation, version control, and
Definition Just-In-Time (JIT) Provisioning is an automated process that creates and updates user accounts in web applications at the moment of authentication. It is commonly used with Security Assertion Markup
What is a Knowledge Graph? A knowledge graph is a structured representation of relationships between entities, helping systems understand and organize information to reflect real-world connections. Unlike traditional databases that
Kubernetes cost management refers to monitoring, optimizing, and controlling costs associated with running Kubernetes clusters in cloud or hybrid environments. It involves analyzing resource usage, identifying inefficiencies, and implementing strategies
Definition A Kubernetes DaemonSet is a workload controller that ensures a specific pod runs on every node (or a subset of nodes) in a Kubernetes cluster. Unlike Deployments or StatefulSets,
Definition Kubernetes StatefulSets are a type of workload controller designed to manage stateful applications. Unlike Deployments or ReplicaSets, which treat all pods as interchangeable, StatefulSets provide each pod with a
Large language models (LLMs) are artificial intelligence (AI) models that process and generate human language. They are built using deep learning techniques and are trained on vast amounts of textual