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Unlock the Power of Observability in Modern IT with this Comprehensive Guide! Dive into the latest insights on #ITresilience and #observability from expert Srushti Vachhrajani. Master best practices for maintaining observability, including continuous monitoring, integrating observability into DevOps culture, and utilizing open-source tools. Read the full guide now: https://ow.ly/MtwC50QFlBM #TechTrends #DevOps

You develop something that's a little bit different but it's closer to what the customer really wants. 🙂   Giving the customer what they really want is the main purpose of delivering an #MVP. 💭  A minimal viable product is a tool for learning. It is an experiment to explore the value proposition with your customer.  This experiment may fail and that's okay because failure 🙂 leads to 👉 understanding.  👉 👉 What did you learn from that failure?  👉 👉What did it teach you? What is the next experiment?  👉 👉What will you do different the next time? 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇 👇   These are the questions that lead to gaining knowledge and understanding about what you are building.  This is why we use MVPs in DevOps. #Thinking_DevOps

𝐂𝐮𝐫𝐢𝐨𝐮𝐬 𝐚𝐛𝐨𝐮𝐭 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐧𝐠 𝐀𝐈 𝐢𝐧𝐭𝐨 𝐲𝐨𝐮𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐚𝐧𝐝 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞 (𝐈𝐚𝐂) 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬? Derek Ashmore provides CloudTweaks - Thought Leadership Programs and Resources practical advice on leveraging AI to accelerate DevOPs and IaC development. You’ll learn how to craft effective prompts, spot and fix errors in AI-generated code, and much more. https://lnkd.in/dsU5fjyC

4 ways our Causal Reasoning Platform is transforming the way DevOps and SRE teams operate: 1️⃣ Incident response is accelerated, thanks to machine-speed root cause analysis 2️⃣ Causal remediation is automated 3️⃣ Postmortems are streamlined (or better yet, made obsolete!) 4️⃣ Unintended consequences of application changes are prevented Learn more about top use cases for Causely ➡ https://bit.ly/4bYVj1e

The fundamentals of DevOps are built on three core principles: - Flow/Systems Thinking: Ensuring seamless processes and system efficiency. - Amplify Feedback Loops: Enhancing communication and response mechanisms. - Culture of Continual Experimentation and Learning: Fostering an environment of innovation and growth. #DevOps #IT #Technology #Innovation

Modern DevOps is all about moving fast and staying reliable. But as systems grow more complex—thanks to microservices and constant deployments—it gets harder to catch issues before they impact users. In my latest blog post, I explore why observability is essential for CI/CD pipelines and share some practical tips to help your team: ✅ Map dependencies in real-time to see how services interact ✅ Track deployments to understand how changes impact production ✅ Solve issues faster by focusing on what's really going wrong One big takeaway: test environments will never fully reflect production, so it's crucial to have tools and practices that give you clear visibility into what's happening in real time. Want to build a pipeline that's fast, reliable, and easy to troubleshoot? Check out the full post here: https://lnkd.in/dsMsE9AF #DevOps #CICD #Observability #SRE #ReliabilityEngineering

Unlock the Power of Observability in Modern IT with this Comprehensive Guide! Dive into the latest insights on #ITresilience and #observability from expert Srushti Shah. Master best practices for maintaining observability, including continuous monitoring, integrating observability into DevOps culture, and utilizing open-source tools. Read the full guide now: https://ow.ly/MtwC50QFlBM #TechTrends #DevOps

Simplify Kubernetes troubleshooting with HolmesGPT, an AI-powered DevOps tool that diagnoses complex issues, saving time and boosting efficiency. https://lnkd.in/gpNNYBC8

🎯 10 Years of DevOps #Wisdom: Rules for Flawless Rollouts 📜 and Peace of Mind ✨ At AllCode, we’ve learned a few lessons after running production environments for 10 years. 1️⃣ No Friday Deployments: Friday rollouts = weekend nightmares. Rolling out on Fridays often leads to delays, issues, and weekend work. So, Avoid them. 2️⃣ Use Managed Databases: Always choose automated #database solutions like RDS over virtual machines for better performance and backups. 3️⃣ Backup First: Always back up your production database before deploying updates to avoid data loss if something fails. 4️⃣ Prepare a Fallback: Keep another instance ready to switch to if the deployment fails. 5️⃣ Embrace CI/CD: Use Continuous #Integration and Continuous Delivery to keep your workflow smooth, even if clients resist. 6️⃣ Automate Everything: Automate testing, #deployment, and rollback processes to save time and reduce errors. Which of these #DevOps tips do you stick to?  Or Do you have a groundbreaking tip to share?💡 We'd love to hear your insights! Drop your wisdom below 👇 and let's elevate our DevOps game together!🚀 Read more 👉 https://lnkd.in/gDACHNye #experience #technology #cloudcomputing #ai #machinelearning #insights #innovation #businessgrowth

🌟 𝐌𝐚𝐬𝐭𝐞𝐫𝐢𝐧𝐠 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐂𝐡𝐚𝐨𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: 𝐓𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐃𝐞𝐯𝐎𝐩𝐬 🌟 Today, I attended an insightful webinar by Alejandro Mercado, where he explored the evolution of telemetry, monitoring, observability, and chaos engineering in DevOps. 𝔖𝔱𝔞𝔯𝔱𝔦𝔫𝔤 𝔴𝔦𝔱𝔥 𝔱𝔢𝔩𝔢𝔪𝔢𝔱𝔯𝔶 𝔦𝔫 𝔱𝔥𝔢 1980𝔰 𝔱𝔬 𝔱𝔥𝔢 𝔯𝔦𝔰𝔢 𝔬𝔣 𝔠𝔥𝔞𝔬𝔰 𝔢𝔫𝔤𝔦𝔫𝔢𝔢𝔯𝔦𝔫𝔤 𝔦𝔫 𝔱𝔥𝔢 2010𝔰, 𝔦𝔱 𝔴𝔞𝔰 𝔣𝔞𝔰𝔠𝔦𝔫𝔞𝔱𝔦𝔫𝔤 𝔱𝔬 𝔰𝔢𝔢 𝔥𝔬𝔴 𝔱𝔥𝔢𝔰𝔢 𝔭𝔯𝔞𝔠𝔱𝔦𝔠𝔢𝔰 𝔥𝔞𝔳𝔢 𝔰𝔥𝔞𝔭𝔢𝔡 𝔪𝔬𝔡𝔢𝔯𝔫 𝔰𝔶𝔰𝔱𝔢𝔪 𝔯𝔢𝔩𝔦𝔞𝔟𝔦𝔩𝔦𝔱𝔶. Observability offers deep visibility into system behavior through logs, metrics, and traces, enabling faster issue detection and resolution. Meanwhile, chaos engineering proactively tests system resilience by introducing controlled failures, ensuring systems are robust enough to handle unexpected disruptions. With the integration of AIOps and GitOps, organizations now achieve end-to-end observability, tackling challenges like 𝐝𝐚𝐫𝐤 𝐝𝐞𝐛𝐭—unseen technical issues that degrade performance. These practices also provide a competitive edge, improving user experiences and fostering reliable services. He emphasized how platform engineering, built on DevOps principles, further enhances security, compliance, and team productivity. By mastering observability and chaos engineering, businesses can transform resilience into a strategic advantage. Are you leveraging these tools in your DevOps practices? #DevOps #Observability #ChaosEngineering #AIOps #GitOps #Innovation #Resilience