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1. Introduction & Overview What is Apache NiFi? Apache NiFi is a powerful, scalable, and reliable open-source data integration platform designed to automate the flow of data between systems. Originally developed by the NSA and later donated to the Apache Software Foundation, NiFi provides a user-friendly web-based interface to design data flows in real time, … Read more

📘 Introduction & Overview What is Kafka? Apache Kafka is a distributed event streaming platform designed for high-throughput, fault-tolerant, real-time data ingestion and processing. Kafka facilitates communication between producers (sources of data) and consumers (applications that process data) via a publish-subscribe model. Background & History Relevance in DevSecOps Kafka plays a significant role in: Kafka … Read more

1. Introduction & Overview In modern DevSecOps environments, speed, reliability, and security are essential throughout the application development and delivery lifecycle. One of the architectural patterns that supports these objectives is Message Queuing. It enables asynchronous communication, decoupling of services, and resilience, which are critical for secure and scalable CI/CD pipelines. 2. What is Message … Read more

1. Introduction & Overview What is Real-Time Data? Real-time data refers to information that is delivered immediately after collection with minimal latency. It enables systems to respond instantly to changes, making it especially crucial for monitoring, alerting, and automation in DevSecOps environments. History or Background The need for real-time data emerged from industries like finance, … Read more

1. Introduction & Overview In modern DevSecOps environments, large-scale automation is essential for handling vast datasets, processing logs, performing scans, and maintaining consistent security across distributed systems. One powerful approach that supports these operations is Batch Processing. Batch processing refers to the execution of a series of tasks without manual intervention. It is often employed … Read more

1. Introduction & Overview What is CDC (Change Data Capture)? Change Data Capture (CDC) is a design pattern and technology that identifies and tracks changes (inserts, updates, deletes) to data in a source system (usually a database) and ensures those changes are captured and made available for downstream systems. It is primarily used for real-time … Read more

Introduction & Overview What is Streaming Ingestion? Streaming ingestion refers to the continuous collection, processing, and ingestion of real-time data into storage or analytics systems. Unlike batch ingestion, which processes data in discrete chunks, streaming ingestion allows systems to handle data on-the-fly—enabling real-time decision-making, anomaly detection, and alerting. In the context of DevSecOps, streaming ingestion … Read more

1. Introduction & Overview What is Reverse ETL? Reverse ETL (Extract, Transform, Load) is the process of moving data from a centralized data warehouse or data lake into operational tools like SaaS applications (e.g., Salesforce, HubSpot), observability tools (e.g., Datadog), or security platforms. It enables the actionable use of analytical data by syncing it with … Read more

1. Introduction & Overview In the data-driven world of DevSecOps, integrating robust data pipelines is crucial to gain visibility, enforce policies, monitor security, and drive automation across the software lifecycle. One such foundational pipeline strategy is ELT – Extract, Load, Transform. This approach allows raw data to be ingested rapidly and transformed later within a … Read more

📌 Introduction & Overview In the fast-evolving world of DevSecOps, where security, development, and operations merge into a unified lifecycle, data plays a central role. Whether it’s telemetry from CI/CD pipelines, security audit logs, vulnerability scans, or compliance reports—structured, trustworthy data is essential. This is where ETL (Extract, Transform, Load) comes into play. ETL pipelines … Read more