Techstrong Learning

The full speaker lineup for the AI SRE Summit is confirmed! These are practitioners from some of the most demanding production environments in the industry. They're not here to talk about potential. They will talk about what it actually takes to keep it running, and what breaks when you don't get it right. 📅 May 12, 2026 📍 Virtual 🎟️ Register for free: https://buff.ly/Tq3WCpl #AI #SRE #PlatformEngineering

The DevOps world is entering the Agentic AI race. Pipeline agents. AI-driven SRE automation. Autonomous remediation tools. Every vendor promises their AI will transform DevOps. But which ones actually matter? 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝟮𝟬𝟮𝟲 brings the community together to answer that question. 📅 September 24 ⏰ 9 AM – 3 PM ET 🎟 Free virtual event Join practitioners, platform engineers and analysts for: • Technical deep dives • Futurum analyst insights • Practitioner roundtables • Demos and hands-on sessions • Virtual hallway track conversations We are also accepting speaker submissions and welcoming sponsors. Register, submit a talk or get involved: devopsexperience.com And yes… you might want to send your agents too.

AppSec teams aren’t short on vulnerabilities. They’re short on clear prioritization. CVSS alone doesn’t reflect real-world risk, leaving teams buried in findings that don’t matter. This webinar shows how to use context like exploitability, asset criticality, and business impact to focus on what does. Join us to learn: • How to separate real risk from noise • How to build a risk-driven workflow • How to combine CVSS with EPSS and other signals • How to make faster, more defensible remediation decisions If prioritization is slowing your team down, this webinar offers a more practical approach. 🔗 Register now: https://buff.ly/PKCxJ9R

🎉 The AI SRE Summit agenda is live! AI in production breaks the assumptions SRE was built on. Root cause isn't always traceable, behavior isn't consistent, and the tooling wasn't designed for this. The reliability, observability and incident response challenges are real and growing. These sessions get into the specifics of how practitioners are handling it today. Agenda: • AI in SRE: Hype vs Reality in 2026 • How to Build Your Own AI Agent • Your AI Doesn't Know What Things Cost • The Sanity Check: Observability for AI Data Pipelines • You Can't AI Your Way Out of a Broken Platform • Context Engineering for Self-Healing AI SRE • Do We Still Need to Observe? The Future of AI and Observability • If AI Writes the Code, Who Runs Production? • Your AI Agent Has No SLO • The Cat and Mouse Game of Infra Cost vs. Latency 📅 May 12, 2026 📍 Virtual 🎟️ Register for free: https://buff.ly/Tq3WCpl #AI #SRE #PlatformEngineering

AI is changing how software gets built, shipped and secured. Teams are already adapting delivery models, evolving DevOps and DevSecOps practices, and rethinking how they maintain visibility, control and accountability as automation expands across the lifecycle. Join the AI NativeDev Virtual Experience on May 7 to hear how practitioners are approaching these changes in real workflows, with on-demand sessions from RSAC 2026 plus exclusive new content. Register now: 👉 https://buff.ly/IMZ5lVI #AINativeDev #DevOps #DevSecOps #SoftwareDelivery

AI assisted coding is increasing the number of changes teams ship, but the operational risk still shows up after release: in testing gaps, rollout decisions, and production behavior. This webinar focuses on how practitioners are handling that shift by treating every change as something that needs validation before it reaches full exposure. The emphasis is on making releases measurable, reversible, and observable using experimentation, delivery pipelines, and policy controls. Join us to learn: • Using experimentation to validate feature impact before full rollout • Applying progressive delivery to limit exposure and enable fast rollback • Connecting pipelines to release decisions so changes are controlled from commit to production • Using policy rules to standardize approvals and reduce ad hoc release risk 🔗 Register now: https://buff.ly/hmGHdYK

AWS environments generate thousands of alerts, but finding root cause still means jumping across dashboards, logs, and war rooms. In this workshop, see how a real performance incident is investigated in real time using agentic AI to analyze logs, metrics, and traces. It pinpoints root cause, maps dependencies, and guides remediation. See how teams reduce hours of manual analysis to minutes without replacing existing tools. Key takeaways: How AI identifies root cause automatically How telemetry correlation reduces investigation time How teams resolve incidents faster without changing tools 🔗 Register now: https://buff.ly/sS20Bab

AI is in your stack. Now who's responsible when it breaks? Where do you draw the line on automation? How do you define guardrails before something goes wrong? The AI SRE Summit on May 12 breaks it down across three tracks: • Evaluate the new #AgenticAI stack: See where AI genuinely reduces MTTR and where autonomous self-healing falls short. •Deploy safely in production: Correlating signals, defining guardrails, and navigating the human-in-the-loop vs. full automation debate. •Operate AI SRE at scale: What it takes to run AI in production safely and measurably. 📍 Virtual 📅 May 12 at 9 AM ET 🎟️ Register for free: https://buff.ly/Tq3WCpl #AI #SRE #PlatformEngineering

Observability has improved signal, not resolution. The gap between insight and action remains, and as alerts scale, so does the risk of slow response or unsafe automation. This webinar examines how teams move from detection to reliable, automated remediation, using research and real-world practice to show what works. The focus is reducing time to resolution without adding risk. Join us to learn: Where the insight-to-action handoff breaks down How to build automation teams trust in production How Splunk and Red Hat Ansible enable closed-loop remediation What governance is needed as automation becomes more autonomous 🔗 Register now: https://buff.ly/mUrKbXs

Build systems are carrying more weight across validation, fixes, and automation, and that load is starting to impact feedback cycles and developer workflows. Teams are feeling it in slower builds, inconsistent environments, and less clarity around what’s actually happening in the pipeline, especially as AI-driven processes start handling more of that work. Join our upcoming webinar to break down how these changes are showing up across pipelines, developer environments, and build systems, and what teams are doing to keep performance, visibility, and control intact. Key takeaways: • How pipeline capabilities are expanding beyond execution into code review, build fixes, and automated generation • What changes when development environments become shared infrastructure for both developers and automated processes • How to improve build performance and feedback cycles using caching, parallelization, and optimized infrastructure • Where teams are seeing practical gains today and where adoption is breaking down 🔗 Register now: https://buff.ly/rFOzGGO