1. Introduction & Overview What is Alerting? Alerting refers to the automated notification mechanism that signals abnormal or critical events within a software system or infrastructure. In the context of DevSecOps, alerting serves as an early-warning system to detect failures, intrusions, misconfigurations, or security breaches in real-time. “Alerting turns monitoring data into action.” History or … Read more
🔹 Introduction & Overview ❓ What is Data Drift? Data Drift refers to the unexpected and undocumented changes in input data or features used in a machine learning (ML) model or system over time, causing degradation in model performance or output integrity. In DevSecOps, it is closely tied to data integrity, security, and continuous monitoring. … Read more
1. Introduction & Overview What is Root Cause Analysis (RCA)? Root Cause Analysis (RCA) is a systematic process for identifying the fundamental cause(s) of faults or problems. Instead of treating symptoms, RCA investigates why a problem occurred and seeks to prevent recurrence. History or Background Why is it Relevant in DevSecOps? 2. Core Concepts & … Read more
1. Introduction & Overview ❓ What is Incident Response? Incident Response (IR) is a structured methodology for identifying, managing, and mitigating security threats or breaches in real time. It ensures minimal damage, quick recovery, and continuous learning from incidents to improve security posture. 🕰️ History or Background 🔗 Why is it Relevant in DevSecOps? DevSecOps … Read more
📘 1. Introduction & Overview What are SLAs, SLIs, and SLOs? SLAs (Service Level Agreements), SLIs (Service Level Indicators), and SLOs (Service Level Objectives) are key reliability engineering concepts that define expectations between teams, systems, and end-users. In DevSecOps, these metrics help establish trust, maintain system health, and ensure secure and reliable service delivery. 🧩 … Read more
1. Introduction & Overview 🔍 What is Metrics Collection? Metrics Collection refers to the systematic gathering, processing, and analysis of quantitative performance and behavioral data from software systems, infrastructure, security components, and workflows. It provides the necessary visibility to monitor, debug, optimize, and secure applications and pipelines in real time. 📜 History or Background 🔐 … Read more
📌 Introduction & Overview What is Tracing? Tracing is the practice of tracking and recording the execution of a program or service across different components of a distributed system. It helps engineers understand how requests propagate, where latency occurs, and what dependencies interact throughout the lifecycle of a request. Think of it as a high-resolution … Read more
1. Introduction & Overview What is Logging? Logging is the process of recording events, messages, or state information generated by software applications, systems, or services. Logs help developers and operations teams understand system behavior, detect issues, monitor performance, and ensure security. In DevSecOps, logging is critical to continuously secure, observe, and audit applications and infrastructure. … Read more
1. Introduction & Overview 📌 What is Data Lineage Visualization? Data Lineage Visualization refers to the process of tracing and visually representing the flow of data through an organization’s systems—from source to destination. It shows where data originates, how it moves, transforms, and is used. 🕰️ History / Background 🔐 Why is it Relevant in … Read more
1. Introduction & Overview What is Data Observability? Data Observability is the capability to fully understand the health, reliability, and lineage of data across an organization’s data systems. It enables teams to monitor, detect, root-cause, and resolve data issues proactively. It is an emerging discipline in modern data engineering and DevSecOps that extends traditional observability … Read more