Technical Glossary
Definitions of key technical terms used in modern enterprise technology.
API (Application Programming Interface)
A set of protocols and tools that allows different software applications to communicate with each other. APIs define the methods and data formats for requesting and exchanging information.
Cloud Migration
The process of transferring data, applications, and workloads from on-premises infrastructure to cloud environments, typically for improved scalability, cost efficiency, and flexibility.
DevOps
A set of practices combining software development and IT operations, emphasizing collaboration, automation, and continuous integration/deployment for faster, more reliable releases.
Machine Learning (ML)
A subset of artificial intelligence that enables systems to learn and improve from data without being explicitly programmed, using algorithms to identify patterns and make predictions.
Kubernetes
An open-source container orchestration platform that automates deployment, scaling, and management of containerized applications across clusters of machines.
Cybersecurity
The practice of protecting computer systems, networks, and data from digital attacks, breaches, and unauthorized access through technical and procedural safeguards.
Data Governance
A framework and set of policies for managing the availability, usability, integrity, and security of data, ensuring compliance with regulations and business requirements.
Zero-Downtime Deployment
A software deployment strategy that updates applications or infrastructure without interrupting service availability, maintaining continuous operation throughout the deployment process.
MITRE ATT&CK Framework
A globally-accessible knowledge base of adversary tactics and techniques based on real-world observations, used for threat modeling and security assessments.
Penetration Testing (Pen Testing)
An authorized security assessment where professionals attempt to breach systems, networks, or applications to identify vulnerabilities before attackers can exploit them.
Real-time Processing
The ability to process and respond to data immediately as it arrives, rather than in batch mode, enabling instantaneous insights and automated decisions.
Scalability
The capability of a system to handle increasing amounts of work or load, either by adding resources (vertical scaling) or adding more machines (horizontal scaling).