Bert Johnson

Lock down your Tiger Data services, without the overhead of a VPC. Here’s a quick walkthrough of using IP Allow Lists to control access to just trusted networks.

14

Power is for Open Source Databases too ! See how MariaDB on IBM Power allows you to resize CPU and memory in real time—without taking your database offline. This video demo shows the power of dynamic scaling in action, giving your workloads the flexibility to grow (or shrink) based on demand—all with zero disruption. https://lnkd.in/g3z5k6Qt

15

Check out Foundry for AI by Rackspace (FAIR™)'s playbook for taking AI Ambition to Enterprise scale reality. Borne out of 75+ real world implementations this guide demystifies AI hype mumbo jumbo and distills it into actionable plays. Nirmal Ranganathan Simon Bennett Jon Mullapudy Mahesh Desai

10

Exciting news for Microsoft 365 users! Copilot Tuning introduces three specialized "recipes" tailored for specific tasks: Expert Q&A, Document Generation, and Document Summarization. User feedback is crucial in enhancing the quality of summaries and continually refining the model's performance. One of the provided links directs you to Copilot Tuning's summarization feature, accessible through Microsoft 365 apps such as Word, SharePoint, and Teams. Utilizing declarative agents in Copilot, documents are processed by the Microsoft 365 Large Language Model in Azure AI. To explore Copilot Tuning's capabilities further, check out the link below: https://lnkd.in/eJ77i9Uv #Microsoft365 #CopilotTuning #DocumentSummarization #AI #FeedbackWelcome

38

2 Comments

Modernize Java Applications with Ease 🚀 Enterprise Application Service for Java (EASeJ) — an IBM-managed, AI-powered platform that simplifies operations, accelerates delivery, and helps enterprises modernize Java apps across the cloud without the heavy lift. ✅ Fully Managed SaaS – Build, deploy, and run enterprise Java apps effortlessly. ✅ Automated Modernization + AI Tools – Discover, plan, migrate, and code smarter. ✅ Built-in CI/CD & Observability – Pre-configured pipelines and integrated monitoring. Start your journey- https://lnkd.in/ebJHHPyM Julia Goodyer - Cole Douglas Coombs Matt Muller Natasha Walsh

10

Part 2 is live: C.R.A.F.T. Framework with .NET and Azure I broke down exactly how we're using systematic AI-assisted development on my current restaurant tech platform. Key insights: ✅ Multi-agent orchestration: Claude Code for complex logic, Copilot for patterns, GPT-5 for troubleshooting ✅ Centralized documentation that all AI agents reference ✅ GitHub Copilot's Azure integration providing real-time infrastructure context ✅ Multi-layer security scanning catching issues automatically ✅ What actually breaks (file sprawl, multi-tenant logic gaps, performance assumptions) The reality: Different AI models excel at different tasks. The teams getting 3-4x velocity aren't using one tool—they're orchestrating multiple agents with consistent documentation and validation. This is production implementation, not proof of concept. Multi-repository architecture. Real security requirements. Actual scaling constraints. Article: https://buff.ly/MPRBRvL What's your experience with multi-agent AI development? #SoftwareDevelopment #ArtificialIntelligence #DotNet #Azure #DevSecOps

2

It’s worth reading AWS RCA on the recent outage The RCA is a great deep dive into how cascading failures can impact multiple services — and how deeply AWS relies on DynamoDB internally. It’s an eye-opener on the importance of resilient architecture design — ensuring that one service failure doesn’t trigger a chain reaction affecting an entire ecosystem or region. A good reminder for all architects and engineers to design for failure, isolation, and graceful degradation. #AWS #Architecture #Resilience #CloudEngineering #DynamoDB #RCA

28

Claude Code now has built-in LSP support. This will produce more consistent code changes, allowing for Spec Coding of larger projects. It is an important upgrade! Read about what that means here: https://lnkd.in/eThKmKAd

6