Gagan Juneja

💡 What is the best way to upskill in Azure Integration as a MuleSoft Engineer? This is a question I get asked a lot! Transitioning from a MuleSoft Engineer role to Azure Integration is a smart move, especially as hybrid and cloud-native integration patterns are becoming more important and AIS increased popularity here in Australia! Fortunately, your MuleSoft experience gives you a solid foundation to do this! 1️⃣: Map MuleSoft concepts to Azure equivalents: MuleSoft Feature ➡️ Azure Equivalent Mule Flows ➡️ Logic Apps / Azure Functions API Manager ➡️ Azure API Management Anypoint MQ ➡️ Azure Service Bus DataWeave ➡️ Inline code in Logic Apps / Azure Functions Connectors ➡️ Logic App connectors / Custom connectors 2️⃣: Understand the Azure integration ecosystem: Azure Logic Apps Azure API Management (APIM) – Comparable to MuleSoft API Manager. Azure Service Bus – Messaging service like MuleSoft's Anypoint MQ or JMS. Azure Functions – Event-driven compute, often used with Logic Apps. Azure Event Grid / Event Hub – For event-based architectures. Azure Data Factory – If you're working with data integrations. 3️⃣: Certifications to start: (if you feel ready!): - Microsoft Certified: Azure Fundamentals (AZ-900) - Azure Integration Services (AZ-204 or AZ-305) 4️⃣: Fine tune your Resume & Portfolio: - Highlight projects showing integration complexity, not just tooling. - Document a case study of “MuleSoft to Azure” migration. - Share sample Logic Apps or Function code on GitHub. Any others feel free to comment!! #mulesoft #AzureIntegration #API

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Today, 𝐀𝐭𝐨𝐬 𝐚𝐧𝐝 𝐏𝐞𝐠𝐚 𝐚𝐫𝐞 𝐜𝐡𝐚𝐧𝐠𝐢𝐧𝐠 𝐭𝐡𝐞 𝐠𝐚𝐦𝐞 𝐰𝐢𝐭𝐡 𝐚 𝐛𝐫𝐞𝐚𝐤𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 - now live on the Pega Marketplace. 🔗 𝐒𝐦𝐚𝐫𝐭 𝐋𝐞𝐠𝐚𝐜𝐲 𝐌𝐨𝐝𝐞𝐫𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐌𝐎4𝐃 + 𝐏𝐞𝐠𝐚 𝐁𝐥𝐮𝐞𝐩𝐫𝐢𝐧𝐭 We’re combining Atos’ GenAI-powered MO4D suite with Pega’s low-code automation to help enterprises move from outdated complexity to modern agility - in record time. ✅ What makes it different? 🧠 𝐆𝐞𝐧𝐀𝐈 𝐚𝐧𝐚𝐥𝐲𝐳𝐞𝐬 your legacy apps and extracts business logic 📄 Pega 𝐁𝐥𝐮𝐞𝐩𝐫𝐢𝐧𝐭𝐬 𝐚𝐫𝐞 𝐚𝐮𝐭𝐨-𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞𝐝 from code - no manual translation 🚀 𝐀 𝐫𝐞𝐚𝐝𝐲-𝐭𝐨-𝐮𝐬𝐞 Pega application skeleton jumpstarts your delivery 📈 +30% productivity gains | ~75% improved quality | 80–90% translation accuracy Built for teams that want to modernize with confidence, accelerate transformation, and stay ahead of disruption. 📍 Explore the new offer on the Pegasystems Marketplace: ➡️http://spr.ly/6045fQVJD 🖱️💻 #Atos #Pega #PegaMarketplace #LegacyModernization #GenAI #LowCode #SmartModernization #AITransformation #MO4D #Innovation #Partnership #MarketplaceOffer

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🚀 Exploring Oracle Redwood – The Future of Enterprise UX As Redwood becomes the new standard across Oracle Fusion Applications, I’ve put together a quick guide to understand the basics and design philosophy behind it. #OracleFusion #OracleRedwood #ERP #UXDesign #VisualBuilder #OracleCloud #OracleERP #RedwoodUI #DigitalTransformation

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PlexTrac is now a ServiceNow Build Partner! 🎉 With new integrations with ServiceNow IT Service Management and Integrated Risk Management, PlexTrac customers can now: ✅ Push findings directly into ServiceNow as tickets ✅ Unify vulnerability and risk workflows into the ServiceNow platform you already use ✅ Accelerate remediation with end-to-end visibility across the full vulnerability lifecycle ✅ Strengthen your Continuous Threat Exposure Management (CTEM) strategy with seamless tracking and accountability For existing ServiceNow customers, this means getting even more value from your investment while reducing risk faster and at greater scale. 💪 Learn more by reading our press release: https://lnkd.in/eRgK9HH4

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💡 ServiceNow Professionals: Certifications Matter More Than Ever In today’s competitive ServiceNow ecosystem, having multiple certifications is a game-changer. Whether you're a Developer, Architect, or Consultant, stacking certs like CSA, CAD, CIS-ITSM, HRSD, SecOps, and now AI-focused badges can dramatically boost your visibility, credibility, and earning potential. ✅ More certs = more doors open ✅ More certs = stronger client trust ✅ More certs = faster career growth I see firsthand how certified professionals stand out in hiring pipelines. If you're looking to level up, invest in your cert path—it pays off. Let’s connect if you’re exploring new opportunities or want to chat about how to position yourself better in the market! #ServiceNow #Certifications #TechCareers #Hiring #Recruitment #CareerGrowth #CSA #CAD #CIS #AI #WorkflowAutomation

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#1MinuteTip You can now build screen flows to help your users create draft autolaunched flow approval processes. #SalesforceSummer25 Get input from a user and then call the new Create Flow Approval Process action to draft an autolaunched flow approval process with up to 20 levels of approvals. The draft can also contain final actions and a recall path. After creation, configure the flow approval process elements in Flow Builder. Not familiar with Flow Approval Processes yet? Check out this Step-by-Step Guide (with screenshots) to Flow Approval Process in Salesforce - https://lnkd.in/gwpv_5Nr 👉 Join us at https://lnkd.in/gC-uPz22 for a journey together to explore what's latest and greatest in new Salesforce releases. Stay ahead with daily 1-minute tips delivered straight to your inbox—quick to read, easy to apply, and packed with value. #Salesforce #SalesforceAdmin #SalesforceConsultant #SalesforceDeveloper #SalesforceArchitect

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Have you explored ServiceNow's Smart Assessment Engine (SAE)? Have you been asked what it is and how it works? Here you go! I’ve put together a step-by-step Simplified, practical guide to help you set up, configure and get the most from Smart Assessments 😍 . https://lnkd.in/gWqCJJji It’s a game changer for creating intuitive, automated and collaborative assessments far beyond what legacy setups offer. What does it offer? Modern UI built on Next Experience. Real-time progress tracking & collaboration. Automated responses and scoring logic. Post assessment automation. Easy migration from legacy metrics. Trigger them on the fly from your flows. Out-of-the-box templates for IRM, ESG, TPRM, VR and more! Caution: These are paid plugins, so double check your subscription model before you procced! As usual here is my all articles and shared projects: https://lnkd.in/grTaNzPk #ServiceNowMVP #ServiceNowCTA #ServiceNowArchitect #ServiceNow #ServiceNowCommunity #SmartAssessment #SAE #Automation #IRM #GRC #Collaboration #NextExperience

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Apriel-1.5-15B-Thinker - ServiceNow : Can a 15B Parameter Model Match Frontier Performance? The Answer Might Surprise You ... What if I told you that a compact 15-billion parameter model could match the performance of systems requiring 10x more computational resources? 👉 Why This Matters Most organizations face a harsh reality: frontier AI capabilities come with massive infrastructure requirements. Privacy-conscious enterprises need on-premises deployment, but current solutions demand enormous GPU clusters. This creates an accessibility gap between cutting-edge AI and practical deployment constraints. 👉 What ServiceNow's SLAM Lab Achieved Apriel-1.5-15B-Thinker demonstrates that thoughtful training design can close this gap. The model: - Scores 52 on the Artificial Analysis Intelligence Index, matching DeepSeek-R1-0528 - Runs on a single high-end GPU - Performs within 5 points of Gemini-2.5-Flash and Claude Sonnet-3.7 across vision benchmarks - Achieves 88% on AIME 2025 mathematics competition problems 👉 How They Did It: The Mid-Training Recipe Starting from Pixtral-12B, the team applied a three-stage approach: Stage 1: Depth Upscaling Expanded the model from 40 to 48 layers without pretraining from scratch, maintaining single-GPU deployability. Stage 2: Staged Continual Pretraining - Phase 1: Built foundational text reasoning and multimodal understanding - Phase 2: Enhanced visual reasoning through synthetic data targeting spatial structure and compositional understanding Stage 3: High-Quality Supervised Fine-Tuning Curated millions of instruction-response pairs with explicit reasoning traces across mathematics, coding, and science. The key insight: strategic data curation and staged presentation during mid-training can unlock sophisticated reasoning without massive scale or reinforcement learning. All model weights, training recipes, and evaluation protocols are released under MIT license, making frontier-level multimodal reasoning accessible to organizations with limited infrastructure. This work challenges the assumption that capability requires scale, opening new possibilities for practical AI deployment.

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