Repository Management
Repository management refers to the systematic handling and organization of repositories that store and provide access to a wide range of digital assets, such as source code, software packages, and
Runbook Automation
Runbook automation (RBA) refers to using technology to execute predefined procedures or “runbooks” that IT staff traditionally carried out manually. This technology is designed to automate routine, repetitive, and otherwise
Savings Plan
A savings plan is a cost-reduction pricing model offered by major cloud services providers, such as AWS, Azure, and Google Cloud. It allows businesses to lower their cloud expenses by
Savings Rate
Savings rate in cloud computing refers to the percentage reduction in costs achieved by optimizing resource usage, selecting cost-efficient pricing models, or utilizing discounts and savings mechanisms offered by cloud
Service Level Agreement (SLA)
A Service-Level Agreement (SLA) clearly defines service expectations between providers and consumers. It sets the foundation for performance standards, uptime guarantees, and response times in IT services, particularly cloud computing,
Site Reliability Engineering (SRE)
Site Reliability Engineering (SRE) has emerged as a crucial discipline to ensure modern applications’ high availability, scalability, and reliability. Initially pioneered by Google, SRE bridges the gap between software development
Speech-to-Text (STT)
Speech-to-text (STT), also known as Automatic Speech Recognition (ASR), is a technology that converts spoken language into written text. It uses signal processing and machine learning algorithms to analyze audio
Spot Instances
Spot instances are a pricing model offered by cloud providers such as AWS, Google Cloud, and Microsoft Azure. They allow users to rent unused cloud capacity at a significantly lower
Stateful Workloads
In modern DevOps, managing workloads efficiently is critical for ensuring application stability, scalability, and reliability. Workloads are generally classified into two types: stateless and stateful. While stateless workloads do not
Synthetic Data
Synthetic data is artificially generated data that is created using algorithms instead of being collected from real-world events. It mimics the structure, patterns, and characteristics of real data without containing
Test-Driven Development (TDD)
In DevOps and modern software development, ensuring code reliability, maintainability, and efficiency is a top priority. Test-driven development (TDD) is one of the most effective methodologies for achieving these goals.
Text-to-Image Models
Text-to-image models are a generative artificial intelligence (AI) system that can create images from written descriptions. These models take a text, often called a prompt, and produce a visual representation
Text-to-Speech (TTS)
Text-to-speech (TTS) is an assistive and generative technology that converts written text into spoken voice output. It uses artificial intelligence (AI) and speech synthesis techniques to produce natural-sounding audio from
Text-to-Video Models
Text-to-video models are AI systems that help to generate video content directly from text descriptions. These models analyze the meaning and context of the input text and produce sequences of
Total Cost of Ownership (TCO)
Total Cost of Ownership (TCO) in cloud computing refers to the complete cost of owning and operating a cloud environment over a specified period. Unlike direct costs, such as subscription
Traffic Splitting
In modern DevOps practices, ensuring seamless deployments, feature rollouts, and application stability is crucial for delivering high-quality software. Traffic splitting is a technique that enables teams to control how user
Transaction Monitoring
In modern software systems, ensuring transactions execute smoothly, securely, and efficiently is critical to maintaining application performance and user satisfaction. Transaction monitoring is essential in tracking, analyzing, and optimizing these
Transformer Models
A transformer model is a type of deep learning architecture primarily used for natural language processing (NLP) tasks such as text generation, translation, summarization, and language understanding. The Transformer architecture
Update Rollback
In modern software development, frequent updates and deployments are a necessity. However, not every update goes as planned. Sometimes, new deployments introduce bugs, performance issues, or security vulnerabilities, requiring a
Usage Analytics
Usage analytics is crucial for understanding user behavior, improving product performance, and optimizing system efficiency. DevOps teams can make informed decisions about feature enhancements, system optimizations, and infrastructure scaling by
