Joshua Poulson, PMP®

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

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Setting up Mac Mini devices at scale doesn’t have to be a bottleneck. With Raritan’s KVM-over-IP solution and open-source SDK, infrastructure teams can automate deployment, testing, and lifecycle management across hundreds—or thousands—of macOS devices in a fraction of the time. 📄 View the full application brief: https://lnkd.in/eQM5YcXH #Raritan #KVMoverIP #MacMini #InfrastructureAutomation #DataCenters

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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

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PagerDuty is now a Cursor customer. Over 30,000 customers rely on PagerDuty to respond to incidents faster, reduce outage risks, and build operational resilience. We’re excited that PagerDuty engineers will now use Cursor’s agents to build these mission-critical products.

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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

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Code has no borders. 🌏 With customer instrumentation, your only constraint is your imagination. Check out this episode of #DataSessionsUnplugged 🔌, featuring New Relic Principal Solutions Consultant Aron Marden, who dives into the power of code. Get ahead of the game. Do anything with code.

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CodeAnt AI just launched Developer 360, engineering metrics that show real developer impact. Deeper insights than LinearB and Jellyfish. Unlike tools that just count commits and pull requests, Developer 360 reveals what’s actually being built, fixed, and improved. They’ve helped companies like Commvault, Sanas, and Akasa Air review code faster, catch delivery risks early, and improve code health across projects. Now with Developer 360, engineering leaders can: - Track who’s shipping meaningful work and driving real progress - Spot delivery risks before they turn into production issues - See how code quality and security trend across repos and teams No vanity metrics. Just clarity on what your team is really building. Congrats on the launch, Amartya Jha and Chinmay Bharti! https://lnkd.in/gd-i6jX3

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AI spend is becoming a material line item as more teams deploy production applications, but most teams manage it in isolation from their cloud spend, missing the complete cost picture. That changes today. DoiT Cloud Intelligence now integrates with Anthropic so you can track Claude model costs and detailed usage data alongside your AWS, Google Cloud, Azure, and SaaS spend. If you're scaling AI applications, #FinOps for AI isn't optional. Your model costs need the same attention you give your cloud infrastructure costs. We dive deeper into how you can use Claude cost and usage data here: https://lnkd.in/epGat7Ki

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🔥 Just dropped: qTest MCP 🔥 Tricentis set an industry milestone 🤩 as the first enterprise quality engineering platform to launch remote Model Context Protocol (MCP) servers! Tricentis qTest MCP manages the test case structure and execution from AI assistants like Claude, Cursor, or ChatGPT. Enabling teams to boost productivity and accelerate test management by performing these tasks: 🔸Display all requirements for a given project in qTest 🔸Display all test cases for each requirement and analyze them to identify any missing test cases 🔸Create missing test cases directly from your analysis 🔸Analyze test executions and create defects from those executions Interested in learning more? Check out our blog post: https://bit.ly/42NRtGB

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Azure devs, meet your new best friend: Azure Managed Redis. AMR delivers a fully-managed, scalable in-memory data store for high-performance, reliable, and secure apps, alongside simplified deployment and robust security. Redis Product Manager Purna Mehta guides you through how you can create a new cache using the Azure portal: https://lnkd.in/dM4ZVpDk 

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With only logs and metrics, teams chase symptoms. With Smart Data, they see the full picture before impact hits. It brings clarity, context, and speed across tools like Splunk, Kafka, and ServiceNow. Better insight. Faster action. Stronger outcomes. https://lnkd.in/ghzttJta

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⚠️ Outages are where architectures tell the truth. FireHydrant's Signals rode through an AWS outage and failed over cleanly, keeping alerts flowing and escalations on track. Each alert runs as a durable Workflow in Temporal Cloud: resumable, observable, easy to reason about. Read the case study: https://lnkd.in/gPi6t4iP

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