In this episode of Techsplainers, we dive into SRE observability, a critical practice for ensuring site reliability in today’s dynamic, cloud-native environments. Discover how SRE observability goes beyond traditional monitoring by using telemetry data—metrics, logs, and traces—to provide deep visibility into complex systems. We explain how it supports proactive issue detection, faster incident response, and data-driven decision-making. You will also learn about real-world use cases in ecommerce, finance, logistics, and healthcare, as well as emerging trends like AI-driven observability and causal AI. Whether you are an engineer, IT professional, or tech enthusiast, this episode will help you understand how SRE observability optimizes performance, enhances user experience, and drives better business outcomes. Find more information at https://www.ibm.com/think/podcasts/techsplainers Narrated by PJ Hagerty

This episode of Techsplainers explores SRE observability and its role in maintaining secure, scalable, high-availability systems. Learn how it combines DevOps practices with advanced tools to deliver real-time insights, proactive issue detection, and improved business outcomes.

What is SRE observability?

This episode of Techsplainers introduces authentication, the cybersecurity process that verifies a user's identity before granting access to systems or data. The episode distinguishes authentication (proving who you are) from authorization (determining what you're allowed to do) and explores the four main authentication factors: something you know (passwords), something you have (security tokens), something you are (biometrics), and something you do (behavioral patterns). Modern authentication approaches are examined, including single sign-on (SSO), multi-factor authentication (MFA), adaptive authentication that uses AI to assess risk in real-time, and passwordless authentication using cryptographic passkeys. Technical standards like SAML, OAuth, and Kerberos are also explained. With account hijacking involved in 30% of cyber attacks, according to IBM's X-Force Threat Intelligence Index, strong authentication proves critical for security, access control, and regulatory compliance across industries like healthcare and finance. Find more information at <a href="https://www.ibm.com/think/podcasts/techsplainers" rel="noopener noreferrer" target="_blank">https://www.ibm.com/think/podcasts/techsplainers</a> Narrated by Bryan Clark

This episode of Techsplainers explores authentication basics and advanced methods like MFA, SSO, and passwordless security. Learn how these vital cybersecurity measures protect against credential theft.

What is authentication?

In this episode of Techsplainers, we dive into full-stack observability, a comprehensive approach that unifies telemetry across infrastructure, applications, and user experiences. Unlike siloed monitoring, full-stack observability provides a single source of truth for system health, enabling faster incident resolution, predictive optimization, and improved operational efficiency. We discuss how it works, including automated service discovery, leading factor analysis, unified dashboards, and AI-driven analytics. You will also learn about its benefits for performance, security, compliance, and business outcomes, as well as challenges like data scale, integration, and privacy. Finally, we explore how machine learning and natural language processing are shaping the future of observability. No matter your role, episode offers a complete guide to why full-stack observability is essential in today’s complex digital environments. Find more information at https://www.ibm.com/think/podcasts/techsplainers Narrated by PJ Hagerty

This episode of Techsplainers explores full-stack observability and how it delivers end-to-end visibility across the entire technology stack. Learn about its key capabilities, benefits, challenges, and the role of AI in transforming observability for modern IT environments.

What is full-stack observability?

This episode of Techsplainers explains what data accuracy is, why it matters, and how organizations can achieve it. We explore its role as a core dimension of data quality, the benefits of accurate data for decision-making, compliance, AI, and customer satisfaction, and the common causes of inaccuracies—from human error to outdated information and biased data. Find more information at https://www.ibm.com/think/podcasts/techsplainers Narrated by Matt Finio

This episode of Techsplainers covers data accuracy—its importance, benefits, and causes of inaccuracies. Learn how accurate data drives trust, compliance, and AI success.

What is data accuracy?

This episode of Techsplainers explains what data integrity is, why it matters, and how organizations can maintain it. We cover the processes and security measures that ensure data remains accurate, complete, and consistent throughout its lifecycle. Learn why data integrity is critical for analytics, compliance, and trust, and explore the five key types of data integrity. Find more information at https://www.ibm.com/think/podcasts/techsplainers Narrated by Matt Finio

This episode of Techsplainers breaks down data integrity—what it is, why it’s essential for analytics and compliance, and how to maintain it across your organization.

What is data integrity?

This episode of "Techsplainers" explains the concept of multi-agent collaboration. It discusses how multi-agent systems, comprising multiple AI agents, coordinate actions in a distributed system to achieve complex tasks. These tasks, once handled only by large language models, now include customer service triage, financial analysis, technical troubleshooting, and more. The podcast details how agents communicate via established protocols to exchange information, assign responsibilities, and coordinate actions. It also highlights the benefits of multi-agent collaboration, such as scalability, fault tolerance, and emergent cooperative behavior, using examples like a fleet of drones searching a disaster site. Find more information at https://www.ibm.com/think/podcasts/techsplainers Narrated by Alice Gomstyn

Join us on "Techsplainers by IBM" as we delve into multi-agent collaboration, exploring how multiple AI agents coordinate actions to tackle complex tasks such as customer service triage and financial analysis. Discover the benefits of decentralized control, specialized AI agents, and retrieval augmented generation frameworks.

What is multi-agent collaboration?

This episode of Techsplainers introduces listeners to the concept of agentic architecture, a framework used for structuring AI agents to automate complex tasks. The podcast explains that agentic architecture is crucial for creating AI agents capable of autonomous decision-making and adapting to dynamic environments. It delves into the four core factors of agency: intentionality (planning), forethought, self-reactiveness, and self-reflectiveness. These four factors underpin AI agents' autonomy. The discussion also contrasts agentic and non-agentic architectures, highlighting the advantages of agentic architectures in supporting agentic behavior in AI agents. The podcast further breaks down different types of agentic architectures – single-agent, multi-agent, and hybrid – detailing their structures, strengths, weaknesses, and best use cases. Finally, it covers three types of agentic frameworks—reactive, deliberative, and cognitive—concluding with a detailed explanation of BDI architectures, a model for rational decision-making in intelligent agents. Find more information at https://www.ibm.com/think/podcasts/techsplainers Narrated by Alice Gomstyn

Dive into the world of multi-agent systems in our latest Techsplainers by IBM episode. Learn how multiple AI agents work together to solve complex tasks, and explore real-world applications in transportation, healthcare, supply chains, and defense.

What is a multi-agent system?

Introducing the Techsplainers by IBM podcast, your new podcast for quick, powerful takes on today’s most important AI and tech topics. Each episode brings you bite-sized learning designed to fit your day, whether you’re driving, exercising, or just curious for something new. This is just the beginning. Tune in every weekday at 6 AM ET for fresh insights, new voices, and smarter learning.

What is SRE observability?

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Recent Episodes

What is SRE observability?

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Recent Episodes

What is authentication?

What is full-stack observability?

What is data accuracy?

What is data integrity?

What is multi-agent collaboration?

What is a multi-agent system?