Stephen McAleer

By migrating to OCI and transitioning to OCI Kubernetes Engine with virtualization enabled on its nodes, CNCF was able to achieve a more flexible cost model—saving an estimated at $1 million annually. Learn more: https://lnkd.in/gDm8Daic

3

Aramco is utilizing Red Hat solutions to power its new GenAI Foundation. They’ve modernized 400 legacy applications and reduced VM configuration times from weeks to hours. They aren't just moving faster; they're providing a trusted, scalable platform for over 35,000 users. Discover their journey: https://red.ht/4kgmt96

57

NetApp AFX AI Portfolio Turns Enterprise Data Into AI Fuel: As AI shifts from a research project to an enterprise operation, customers require robust, integrated storage solutions that minimize risk, reduce complexity, and lower costs. Enterprise AI projects need solutions that ensure security, reliability, and operational efficiency to achieve a strong return on investment. #datadriven #netappusps #netappdod #netappintel #netappciv #netappsled #netappcloud

5

The enterprise application delivery debate is heating up. In a recent interview, anynines CEO Julian Fischer made a compelling case for why Cloud Foundry Foundation continues to outperform Kubernetes in specific enterprise scenarios - particularly for organizations managing thousands of developers. Key insights from the discussion: 🔹 Most developers aren't Kubernetes experts, and that's okay  🔹 Operational efficiency gaps exist in Kubernetes that Cloud Foundry fills  🔹 The "you build it, you run it" philosophy requires the right platform foundation 🔹 Multi-tenancy and self-service capabilities remain critical differentiators Fischer's perspective challenges the Kubernetes-first mentality many organizations have adopted, suggesting that platform choice should align with developer capabilities and organizational scale. For enterprise leaders evaluating application delivery strategies, this conversation offers valuable insights into platform selection criteria beyond market hype. What's your experience with platform choices in large-scale environments? Have you found similar operational efficiency trade-offs? #EnterpriseArchitecture #PlatformEngineering #CloudFoundry #Kubernetes #DevOps #DigitalTransformation

5

Headline: 🚀 Redefining Mobile Cloud Security: Introducing the Omni-Cloud Terminal I am thrilled to share the architectural preview of my latest engineering project, OMNI CLOUD TERMINAL—a native Android solution designed to bridge the gap between heavy enterprise cloud security and mobile flexibility. In an era where DevOps requires instant response times, relying on separate apps for AWS, Azure, and GCP is inefficient. I wanted to build something that didn't just aggregate these platforms, but secured them with military-grade protocols never before implemented in a standard mobile interface. 🛡️ Core Innovations & Architecture: ✅ Neural-Authorized Omni-Shell: A single, unified terminal interface that intelligently routes commands. Type `s3 ls` and it hits the AWS SDK; type `az vm list` and it seamlessly tunnels via SSH to your Azure management blade. No toggling context. ✅ Keystroke Dynamics Authentication: Beyond passwords and fingerprints. This app analyzes the flight time between your keystrokes (ms) to verify user identity. Even if someone steals your password, they can't replicate your typing rhythm. ✅ Geo-Fenced "Kill Switch":High-risk commands (like server termination) are cryptographically locked unless the device verifies it is within a designated "Safe Zone" (e.g., HQ coordinates), preventing remote hijacking attacks. ✅ Full Native Java Implementation: Built for performance and hardware-level control, utilizing the Android Keystore system for non-exportable credential storage. 🛠️ The Tech Stack: * Language: Native Java (Android) * Cloud Core: AWS Mobile SDK, Azure Identity, Google Cloud Client * Security: Biometric API + Custom Keystroke Analysis Engine * Connectivity: JSch (SSH2) for encrypted tunneling This project represents the next step in Secure Mobile DevOps. I am currently refining the "Keystroke Dynamics" module and optimizing the multi-thread SSH handling. I welcome thoughts from the #CyberSecurity and #CloudComputing communities on mobile terminal security! Key Takeaways for the Audience (Why this matters): 1. Consolidation:It solves "app fatigue" by merging three major clouds (AWS, Azure, GCP) into one command line. 2. Behavioral Security: It introduces Keystroke Dynamics, a biometric layer usually reserved for high-security banking/defense systems, into a mobile utility. 3. Context Awareness:The app is "smart"—it knows *where* you are (Geo-fencing) and *what* you are typing, adjusting its security posture in real-time. 4. Native Performance: Unlike hybrid apps (Flutter/React Native), this uses Native Java for direct memory access and lower-level security handling. Developed & Engineered by: L.P. Harisha Lakshan Warnakulasuriya 🇱🇰 #AndroidDev #CloudSecurity #AWS #Azure #GoogleCloud #DevOps #Java #MobileSecurity #Innovation #SoftwareEngineering #SriLanka

2

📈 Struggling to manage growing Kubernetes environments? You’re not alone. While #automation is essential for #scale, true success requires full visibility across your Kubernetes estate and empowered teams. This new #IDC Spotlight paper, sponsored by #SUSE in partnership with #Portworx, explores how an integrated solution can: 🔹 Unify container app + storage + data management 🔹 Reduce cost and complexity 🔹 Simplify large-scale Kubernetes deployments 🔗 Explore the IDC Spotlight paper now https://okt.to/2RlHsv #Kubernetes #CloudNative #DevOps #SUSE #Portworx #ContainerManagement #IDC #InfrastructureStrategy

3

https://ow.ly/xEwJ50Y1Tvo Snowflake announced the general availability of Snowflake’s #AI Data Cloud on the Amazon Web Services (AWS) Middle East Region.

1

🚨 New Episode of Telemetry News Now! 🎧 In the latest TNN episode, Phillip Gervasi and Justin Ryburn discuss a series of significant industry developments: 🏢 Oracle’s substantial $40B investment in Nvidia chips for OpenAI’s Texas data center 💰 Salesforce’s $8B purchase of Informatica to enhance its AI-driven CRM 📞 AT&T’s acquisition of fiber from Lumen for $5.75B 🤖 Extreme Networks’ venture into agentic AI with Platform ONE ✅ Cisco’s revamp of its certification program to align with the needs of AI, automation, and modern networking ➕ And much more! Whether you’re deeply involved in NetOps or just trying to keep up, this episode is filled with insights you won’t want to miss. 🎙️ 👉 Listen now and stay ahead:

5

Confluent has achieved #FedRAMP 20x Moderate ATO for Confluent Cloud for Government on AWS GovCloud… Both Government and private agencies can now adopt its cloud-native data streaming platforms. Read more in the full release: https://lnkd.in/eTqyr-Y9 Michael J. Wallace, Chris Daniels, Layla Shakir, Mariam Nazary, Tony Franzonello, Natalie Gregory, Richard Savage, William Rose

5

I’m proud to announce a new strategic partnership between Rackspace Technology and Palantir Technologies.    Together, we’re helping enterprises deploy Palantir Foundry and AIP into live workflows in weeks — not months — with governance built in from day one. AI is moving from pilots to production. When systems trigger transactions and operate across regulated environments, oversight, sovereignty, and security aren’t optional. By combining Palantir’s decision intelligence platforms with Rackspace’s hybrid cloud expertise and governed operating model, customers can: • Accelerate production AI  • Reduce complexity with a single accountable partner  • Run securely across hybrid, private and sovereign clouds This partnership delivers what enterprises have been asking for: production-ready AI with governance, speed, and measurable outcomes. Thank you to the Palantir team for the collaboration and shared commitment to bringing secure, production-ready AI to market. Excited for what’s ahead. https://bit.ly/4s2uli1

142

2 Comments