Tim Cramer

Your CI/CD bill is not exploding because of “expensive runners,” it is bleeding out through flaky tests, over-parallelized jobs, and slow feedback loops that quietly tax every deploy This piece shows you how to redesign pipelines so you cut compute waste, shrink queues, and speed up developer flow without adding yet another approval gate or YAML religion Full breakdown in the comments. #DevOps #CICD #PlatformEngineering

8

1 Comment

Who needs self-service? In this article, Conduktor’s VP of Engineering, Matt Searle, talks about his own experiences attempting to balance developer autonomy alongside platform stability. His key insight? Govern Kafka, or risk havoc. Read his latest blog—and learn more about how Conduktor can help you implement self-service with guardrails. https://lnkd.in/ejWTRctu

14

As generative AI becomes more integral to enterprise operations, building trust is paramount. 🔐 ​ 🎙️ Our experts from Cohesity, Pure Storage, and Tricentis reveal the most critical emerging trends in this space, from using Retrieval-Augmented Generation (RAG) models to ground AI in trusted data to the necessity of testing the data that AI is trained on. ​ Praveen Vunnava, Global Field Chief Technology Officer at Cohesity, shares how modern enterprises can stay ahead of evolving threats by leveraging AI-powered threat detection, implementing a zero-trust architecture and establishing dedicated cyber event response capabilities. ​ Matthew Oostveen, Chief Technology Officer for APJ at Pure Storage, explores why trust is the new frontier in enterprise AI. He details how intelligent infrastructure, including RAG implementations and autonomous storage systems, is key to scaling AI confidently, sustainably, and responsibly. ​ Dheeraj Yadav, Senior Manager of Solution Architecture at Tricentis, takes us inside the world of intelligent automation. He emphasises rigorously testing the data and models behind GenAI is crucial for ensuring compliance, eliminating bias, and achieving reliable, secure outcomes in your AI initiatives. ​ True innovation isn't just about building powerful models—it's about ensuring they are responsible, secure, and reliable from the ground up. Tune in here for the full conversations:  ​ 🎧 With Cohesity: https://lnkd.in/ew-9ZuBF  🎧 With Pure Storage: https://lnkd.in/ef7XRqtD  🎧 With Tricentis: https://lnkd.in/e5bqZ5gu  ​ #NCS #ImpactInsights #TechPodcast #AI #AITrust #DataProtection #ResponsibleAI #Innovation

34

🎯 Running inference workloads on Kubernetes? I just wrote a deep dive on Gateway API Inference Extension and how it works. The Gateway API Inference Extension introduces two new Custom Resource Definitions (CRDs): InferenceModel and InferencePool. By using these two new resources, along with the endpoint selector, your L7 routing infrastructure becomes an “Inference Gateway” enabling you to self-host GenAI/LLMs with a “model-as-a-service” mindset. https://lnkd.in/g_eFqwUd #ai #llm #genai #inference

57

2 Comments

Infrastructure is finally catching up to the speed of GPU innovation. John Mao breaks down the launch of the CNode-X server—adding GPUs directly into the VAST-certified hardware stack to collapse architectures and accelerate SQL and vector search like never before. See how VAST is resetting the performance bar for the inference era👇

128

5 Comments

Keeping cloud architecture diagrams updated across a fast moving environment can feel like an endless game of catch up. With Lucid’s Cloud Accelerator, teams can create reusable assets for frequently used elements like VPCs, databases, and subnets. Update once and watch changes cascade across every diagram, saving time, reducing manual effort, and keeping documentation consistent as your cloud environment evolves. See how you can bring clarity to your cloud journey: https://lnkd.in/gWyKa5tH

37

Is your observability stack explaining incidents or just reporting them? This video from David Lotan Bolotnikoff’s presentation with PagerDuty at re:Invent shows what stops teams from debugging the same incident twice👇 By connecting observability data with incident response, team can now: *Run root cause analysis that actually learns from history *Identify recurring patterns across incidents *Surface past solutions when similar issues arise *Cut MTTR significantly The result? Engineers spend less time reinventing the wheel and more time building what matters. #reInvent #PagerDuty #Observability #MTTR #DevOps #SRE

34

1 Comment

Rego Consulting doesn’t just design AWS Control Tower solutions for others; we’ve built our own success story! We migrated 150+ complex SaaS environments for Rego SaaS (our Clarity by Broadcom platform) using the same AWS Control Tower strategies we offer clients. This project solidified a stronger foundation for our internal infrastructure, directly translating to enhanced efficiency and security for our clients' AWS environments. 🛠️ We leveraged our AWS Control Tower knowledge to migrate and modernize our Rego SaaS platform, applying our best practices in a real-world, high-stakes scenario. 🤖 We automated account provisioning, enforced strict compliance, and established global governance, all within a tight timeframe. 💡 Our AWS Control Tower implementation directly led to improvements in our service, further validating our practical expertise. Discover how our hands-on expertise can transform your AWS environment. Reach out to learn more. ➡️ Read the full case study to see our hands-on approach in action: https://hubs.ly/Q03fxWdB0 #RegoConsulting #AWS #ControlTower #CloudMigration #HandsOnExperience #RealWorld #CloudSecurity #SaaS

15

One big takeaway from today's talk from Evgeniya Sukhodolskaya from Qdrant is that out-of-domain retrieval models often fail to help your specific in-domain task. For this reason, teams still do things to essentially manage "semantics" for their specific domain. Depending on the organizations capabilities, this might mean maintaining their own synonyms, or learning synonyms from their corpus / queries, or fine-tuning on their search data. Bridging out-of-domain techniques to in-domain language realities makes or breaks teams trying to apply new techniques

37

1 Comment