Techsplainers by IBM

This episode of Techsplainers unpacks machine learning pipelines, from data processing and model development to deployment strategies and monitoring in production environments.

This episode of Techsplainers explores the practical components of MLOps pipelines—from data management and model deployment to monitoring, governance, and implementation levels.

This episode of Techsplainers explores MLOps—a set of practices for streamlining machine learning operations, automating deployment, and improving model performance through continuous monitoring.

This episode of Techsplainers investigates notorious ransomware variants, from CryptoLocker to the Colonial Pipeline attack. Learn about ransom payment trends, legal implications, and effective prevention strategies.

This episode of Techsplainers explores how ransomware works, from encryption tactics to multi-level extortion schemes. Learn about different attack vectors, ransomware varieties, and the five stages of a typical attack.

This episode of Techsplainers looks at how phishing attacks work and how to protect. Learn to identify various phishing techniques, recognize warning signs, and implement effective prevention strategies.

This episode of Techsplainers covers how social engineering attacks exploit human psychology rather than technical vulnerabilities. Learn about different attack types—from phishing to baiting—and effective strategies to protect yourself and your organization.

This episode of Techsplainers explores what data breaches are, how they occur, and the strategies that can prevent them. Discover the true costs, common attack vectors, and how AI-powered security can dramatically reduce breach impact.

In this episode of Techsplainers, we dive deeper into network observability, comparing it to network performance monitoring and DevOps observability. Learn how observability goes beyond static thresholds and predefined metrics to provide end-to-end visibility, richer context, and predictive analytics for dynamic network environments. We also explore why network observability is critical for industries like financial services and telecommunications, where performance and reliability are non-negotiable. From real-time latency detection in high-frequency trading to managing 5G networks and edge computing, observability tools enable proactive optimization and self-healing capabilities. This episode highlights how observability helps organizations adapt to evolving technologies and maintain seamless connectivity across hybrid and multi-cloud infrastructures.

In this episode of Techsplainers, we explore network observability, a proactive approach to understanding and managing complex network environments. Unlike traditional monitoring, which focuses on predefined metrics, network observability provides real-time visibility into network health and performance across on-premises, hybrid, and multicloud infrastructures. We break down its five pillars—metrics, logs, traces, context, and correlation—and explain how they work together to deliver actionable insights. You will also learn about key capabilities, such as intelligent alerting, topology mapping, and continuous performance analysis, as well as the benefits of observability for security, cloud migration, and cost optimization. Whether you are an IT professional or a tech enthusiast, this episode will help you understand why network observability is critical for resilience and efficiency in today’s digital world.