Datadog update: Monitor pipelines and web apps with Airflow and Synthetics

Think Azure Logic Apps are only for scheduled tasks? Prepare to rethink that. While some triggers do rely on polling (checking periodically for updates), there's a clever strategy to achieve true real-time message processing when you need instant responses. The secret lies in combining Logic Apps with Azure Functions. An Azure Function can act as an HTTP endpoint, a lightweight piece of code that responds immediately to incoming data or events. When an event happens, the Function receives it instantly and then triggers your Logic App without any delay. This setup bridges the gap, giving you the best of both worlds: the instant responsiveness of Functions and the powerful, visual workflow capabilities of Logic Apps. It’s about engineering your cloud architecture to be as dynamic and efficient as your business demands. Help spread the word by liking and sharing this post! How do you ensure your message processing is always as fast as your business needs? #AzureFunctions #LogicApps #RealTimeProcessing #ServerlessComputing #CloudArchitecture #TechTips #ITPro

🏗 Serverless Architecture: Hype or the Future of Web Apps? The idea of running apps without managing servers sounds amazing, just focus on code, let the cloud handle the rest. But serverless isn’t always a silver bullet. ✅ Where it shines: • Event-driven apps (APIs, image processing, notifications). • Auto scaling workloads without devops overhead. • Paying only for what you use. ⚠️ Where it struggles: • Cold start latency. • Debugging and monitoring are harder. • Vendor lock in is very real. 👉 My take: Serverless is great when flexibility and scaling matter more than low level control. For critical, performance heavy systems, traditional infra still wins. 💬 Have you shipped anything serious on serverless yet, or is it still “playground tech” for you? #WebArchitecture #Serverless #CloudComputing #WebDevelopment #ScalingApps

🚀 Azure Container Apps' Scale-to-Zero: The Game-Changer You're Probably Not Using. Most developers know Azure Container Apps can scale up, but here's the real magic: scale-to-zero capabilities with per-second billing that can dramatically cut your costs for intermittent workloads. ✅ Technical Breakdown: - Azure Container Apps uses KEDA (Kubernetes Event-driven Autoscaling) to automatically scale your applications down to zero replicas when there's no traffic. - When a request comes in, it instantly provisions new instances. - The default HTTP scale rule starts with 0 minimum replicas and scales up to 10 maximum replicas, with intelligent scaling steps (1, 4, 8, 16, 32...) to handle traffic spikes efficiently. 📌 Real-World Impact: Instead of paying for idle containers 24/7, you only pay when your app is actually processing requests and it is perfect for: - Development/staging environments - Batch processing jobs - APIs with unpredictable traffic patterns - Microservices that handle periodic events 💡Pro Tip: If you disable ingress and don't define minReplicas or a custom scale rule, your container app scales to zero and has no way of starting back up. Always ensure you have either ingress enabled or set minReplicas ≥ 1 for non-HTTP triggered workloads. Learn more about scaling strategies: https://lnkd.in/e7NQBmYu #Azure #ContainerApps #CloudCost #DevOps #Serverless

🎁 Enhance your web apps without redeploying In this Azure Friday episode, Tulika Chaudharie and Scott Hanselman show how the Sidecar pattern in Azure App Service helps businesses innovate faster: ✅ Run lightweight AI models without orchestration complexity ✅ Plug in popular APM tools for instant insights ✅ Boost performance using Redis caching ✅ Add logging, monitoring, caching, or AI with zero code changes Why it matters: Faster innovation, lower overhead, and resilient apps. 🎥 Watch now: https://lnkd.in/gxr_MUqN #AzurePaaS 

Legacy .NET isn’t a roadblock—it’s trapped value. The fastest wins often come from a staged lift-and-refactor to Azure containers or PaaS, not a full rewrite. If you’re staring down end-of-support notices or an app modernization mandate, here’s a pragmatic MSP playbook that cuts costs, improves scalability, and reduces maintenance without betting the business: • Baseline & risk map: Inventory .NET versions, dependencies, SLAs, data sensitivity, and change windows. • Choose the right target per workload: App Service for web apps needing minimal refactor; Container Apps/AKS when you need container control; Functions for schedulers/background jobs; Windows containers when Framework dependencies persist—then plan the move to modern .NET when feasible. • Refactor just enough: Externalize config, remove local file state, add health endpoints, enable CI/CD. • Deploy safely: Blue/green or canary releases, forward-only DB migrations, feature flags, and scripted rollbacks. • Operate with guardrails: Autoscale policies, Azure Monitor dashboards, alerts, budget/cost caps, and tagging for chargeback. • Prove ROI early: Before/after hosting costs, reduced patching hours, faster release cadence, stable SLAs. This stepwise approach reassures cautious IT managers: clear ROI, explicit risk controls, and a tested rollback plan—so modernization accelerates, not disrupts. Which workload would you pilot first? If you’d like a 2-week assessment checklist and a sample rollback plan, message me and I’ll share a copy. #CloudComputing #DigitalTransformation #MSP #CloudSecurity #Azure #AppModernization #AzureContainers #Containerization #Serverless #AzureFunctions #FutureOfWork #AI

We just flipped our entire messaging around. We've put our Bring Your Own Cloud (BYOC) approach front and center ☁️ Up until now we've used a broader, softer messaging - of groundcover being a cloud-native observability platform. But as a company that is fighting against a huge company like Datadog, aggressively focusing our positioning against them is critical. Customers will spend 10 seconds figuring out why we're so different, and why others left Datadog for us. We do a lot of things well, but we're the *only* observability company that goes all-in on a BYOC architecture, in a market where 99% of players provide a SaaS model. BYOC is our real positioning: 1/ It provides native data security, privacy and residency control - people don't like their sensitive logs at a 3rd party vendor. 2/ It allows us to price the product differently than the entire market - no $ on data ingestion, indexing or API queries! 3/ It allows us to package the product differently - no gates, no tiers, no limits. one product, one price, all the features. We tried to keep it broad because it's scary to focus and take a stand. Another small step forward in our GTM. Ask me in two months about it after we change it again.

🚀 How do you scale your web application? One of the most asked questions from experienced developers — and surprisingly, one where many hesitate if they haven’t worked on real-world applications handling millions of users. Here are a few thought-provoking questions to reflect on: 1️⃣ Do you simply increase the server size? 2️⃣ How do you scale your database effectively? 3️⃣ If server size increases, how do you optimize cost? 4️⃣ If the database scales horizontally, how is data synchronization handled? 5️⃣ Is Kubernetes just a buzzword, or can you really auto-scale without it? 6️⃣ With multiple microservices, how do you ensure deployments happen together without breaking the app even for a second? 7️⃣ And most importantly — how do you guarantee zero downtime? 👉 If you have hands-on answers and practical experience, that’s amazing — you’re ahead of the curve. 👉 If not, and you want to learn where to start — DM me, happy to help. Scaling isn’t just about “adding more servers.” It’s about designing systems that are resilient, cost-efficient, and built for growth. 🌍 #WebDevelopment #Scalability #Microservices #Cloud #DevOps

‎ ‎⚡ “Your app just went viral. 10,000 users hit at once. Will your system crash… or scale?” ‎ ‎This is where serverless architecture shines. Unlike traditional servers, serverless can automatically handle sudden traffic spikes—without you scrambling to spin up resources. But scaling smartly takes more than just flipping the switch. ‎ ‎Here are 3 tips to make serverless your best ally for unpredictable traffic: ‎ ‎🔹 1. Design stateless functions – Keep functions independent so they can scale horizontally without bottlenecks. ‎ ‎🔹 2. Use event-driven triggers wisely – Whether it’s API Gateway, queues, or streams, trigger only what’s needed to keep performance smooth during spikes. ‎ ‎🔹 3. Monitor concurrency limits – Platforms like AWS Lambda have limits. Set alerts, request increases where necessary, and avoid nasty surprises. ‎ ‎💡 Pro tip: Pair serverless with managed services (databases, queues, caches) that scale just as easily. Otherwise, your app might scale… but your database won’t. ‎ ‎👉 Question for you: ‎Have you ever faced a traffic spike? Did your architecture survive—or did it buckle under the pressure? ‎ ‎#Serverless #CloudComputing #Scalability #AWS #Azure #GCP #DevOps #SoftwareEngineering ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎

🚀 Why ASP.NET is still the backbone for scalable web apps When startups and SMBs ask us what tech they should trust for mission-critical applications, our answer is often simple: ASP.NET. Here’s why it matters in 2025: ✅ Performance that scales → From 100 users to 1M, without breaking. ✅ Enterprise-grade security → Built-in identity, encryption, and modern auth. ✅ Cloud-native ready → Works seamlessly with Azure, AWS, and hybrid setups. ✅ Future-proof → Backed by Microsoft, continuously updated, and trusted worldwide. At Cuetech Solutions, we specialize in building custom, scalable, and secure ASP.NET applications for businesses that want to grow without limits. 💡 Looking to modernize your web apps or start fresh with a scalable foundation? Let’s build it right from day one. 📧 hello@cuetechsolutions.com | 🌐 cuetechsolutions.com #CuetechSolutions #DotNet #WebDevelopment #ASPNet #ScalableApps #BusinessGrowth

We’re excited to announce that Mach5 is now available on #AWSmarketplace. This makes it easier for engineering and product teams using AWS S3 to deploy scalable, cost-efficient search directly in their environments. Whether you’re building observability pipelines, a security data lake, real-time analytics systems or trying to tackle a SIEM use case, Mach5 on AWS Marketplace provides performance without operational complexity. https://lnkd.in/gGzdGxw6 #Search #Analytics #CloudNative #Mach5search #DataPlatform #SIEM