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Techstrong TV Livestream – January 5, 2026: • Techstrong Gang (Live from the Studio): A live discussion on how enterprise IT is shifting in 2026, including cloud strategy evolution, infrastructure pressures, and where AI-driven workloads truly belong. • Induprakas “Indu” Keri – From Cloud First to Cloud Fit: Why organizations are moving beyond cloud-first thinking toward cloud-fit strategies as applications mature, costs rise, and performance requirements become clearer. • REPLAY – SUSE & AWS Leaders: Managing cloud complexity with AI-driven automation, multi-Linux environments, and tools like Multi Linux Manager and Quick Suite to improve visibility, security, and efficiency. • REPLAY – Daren Shumate (Shumate Engineering): Advanced cooling technologies required to meet the power density and thermal challenges of AI-driven data centers. • REPLAY – Exploring the SUSE and AWS Partnership: How SUSE and AWS are aligning on security, AI development, flexibility, and customer-centric cloud innovation. • Tech Field Day: AI booms, quantum breakthroughs, cloud wars, and massive acquisitions that reshaped enterprise IT, as hyperscalers, chipmakers, and AI leaders battle for scale and advantage.

We are LIVE on Techstrong Gang today! Kicking off the new year in style! The Futurum Group

𝗕𝗲𝘀𝘁 𝗼𝗳 𝟮𝟬𝟮𝟱: 2025 marked a quiet but meaningful reset in how developer work is defined. AI agents moved into the flow of daily development, absorbing repetitive tasks like debugging, test creation, and routine changes. That shift gave developers more room to focus on system design, technical judgment, and business impact, while expanding participation through low code and no code tools. The result was not just faster delivery, but a rethinking of value. Developer contribution was increasingly measured by outcomes and speed to value, not volume of code. See how AI agents reshaped the developer experience and set a new baseline for modern development: https://buff.ly/e0TR6Mm #BestOf2025 #AI #DevEx #AgenticAI

𝗕𝗲𝘀𝘁 𝗼𝗳 𝟮𝟬𝟮𝟱: GitLab broadened its core CI/CD platform to include more native AI, artifact management, and security capabilities. By moving key AI features into the core offering and simplifying access to advanced DevSecOps tools, GitLab reduced reliance on third-party add-ons and streamlined how teams build, secure, and deliver software. The update reflected a wider shift in 2025 toward consolidated DevOps platforms designed to scale as automation and AI accelerate delivery. Learn how GitLab’s platform expansion captured a defining DevOps trend of 2025: https://buff.ly/GUS30PW #BestOf2025 #DevOps #GitLab #CICD

𝗕𝗲𝘀𝘁 𝗼𝗳 𝟮𝟬𝟮𝟱: As code volume surged and DevOps environments fragmented, managing delivery across multiple CI/CD platforms became a growing challenge. CloudBees responded by introducing a unified control plane that centralizes governance, visibility, and policy enforcement across tools like GitHub, GitLab, and Jenkins without forcing standardization. The move captured a key shift in 2025 as teams began rethinking how to scale DevOps pipelines built for a very different pace of software development. Explore why unified DevOps management emerged as a defining theme of 2025: https://buff.ly/vl2oPa9 #BestOf2025 #DevOps #PlatformEngineering #CICD

𝗕𝗲𝘀𝘁 𝗼𝗳 𝟮𝟬𝟮𝟱: A compromised GitHub Action showed how quickly trusted CI/CD automation can become a software supply chain risk. Used across more than 23,000 repositories, the Action exposed credentials by leaking secrets from build logs and runner memory. The scale of the incident highlighted how a single dependency can impact thousands of projects at once. The breach reinforced a broader shift in 2025 toward treating DevSecOps as supply chain security, not just application protection. See how this incident reshaped security priorities for teams relying on CI/CD automation: https://buff.ly/gfZZuuV #BestOf2025 #DevSecOps #SoftwareSupplyChain #GitHub #Cybersecurity

𝗕𝗲𝘀𝘁 𝗼𝗳 𝟮𝟬𝟮𝟱: Generative AI moved into DevOps pipelines as teams worked to reduce manual effort and gain earlier visibility into system behavior. Used across CI/CD workflows, AI supported smarter testing, faster deployments, and improved incident response. At the same time, it introduced new challenges around data quality, security, and skills, making thoughtful integration essential. Explore how generative AI reshaped DevOps pipelines in 2025 and what teams learned from early adoption: https://buff.ly/6lO6K7A #BestOf2025 #DevOps #GenerativeAI #CICD

𝗕𝗲𝘀𝘁 𝗼𝗳 𝟮𝟬𝟮𝟱: Throughout 2025, DevOps teams worked to keep up with expanding infrastructure demands while operating with limited resources. Infrastructure as Code brought much needed consistency, but at scale it exposed gaps in coordination, ownership, and safe collaboration. IaC orchestration emerged as the missing layer, giving teams the structure and guardrails needed to scale infrastructure without slowing delivery. Read why IaC orchestration became one of 2025’s defining DevOps shifts and what it means for teams building at scale: https://buff.ly/dLu1Zfk #BestOf2025 #DevOps #IaC #PlatformEngineering

𝗕𝗲𝘀𝘁 𝗼𝗳 𝟮𝟬𝟮𝟱: A survey of software engineering leaders and practitioners revealed a growing downside to AI assisted development. While most teams reported benefits such as reduced burnout, many also saw higher deployment errors, more time spent debugging AI generated code, and increased security issues. Without clear policies or production context, AI tools often amplified the impact of bad code reaching production. The results pointed to a clear gap between adoption and governance as AI became embedded in development workflows. Read why this survey stood out as one of 2025’s key reality checks for AI in software development: https://buff.ly/OiXepPW #BestOf2025 #DevOps #AICoding #SoftwareQuality