Observe, Inc.’s Post

Here is the Scenario: You’re an SRE for a digital business, Astronomy Shop. Your team is responsible for ensuring the availability of the shop and responding to both regular on-call cases, and can get paged if your customer service team gets reports about potential issues. Well, today, you’ve been receiving problem reports from customers indicating that the new and important “You May Also Like” feature may be broken. As no alerts have fired yet, you will want to do some initial triage of the issue via Observe. #Observability #DevOps #SRE

Ready to sharpen your observability skills? 💡Don’t miss our technical workshop for DevOps, SRE, and Engineering teams! 📆 Thursday, October 17 🕙 10 AM PT 👉 Register today: https://lnkd.in/gJBNTWpR Gain a foundational understanding of observability, plus get hands-on practice ingesting data, navigating the Observability Cloud, and learning proven strategies to identify and resolve issues faster. See you there! #O11yInnovator #O11yCopilot #DevOps #logs #metrics #traces #observability

🚀 DevOps in 2025: Trends, Tools, and Best Practices 🌐 The DevOps landscape is evolving faster than ever, with new trends and technologies reshaping the way we develop, deploy, and operate software. In my latest blog, I explore: 🔮 Emerging trends like AI-driven DevOps, Platform Engineering, and DevSecOps maturity ⚙️ Tools that will define the future, from Kubernetes advancements to AI-driven observability 💡 Best practices for staying ahead in this dynamic field Whether you're a developer, an engineer, or a tech enthusiast, this piece will give you insights into where DevOps is heading. 👉 Read the full blog here: https://lnkd.in/gK_Pruvz I'd love to hear your thoughts: 💬 Which DevOps trend excites you the most for 2025? #DevOps #TechnologyTrends #DevSecOps #AI #CloudComputing #Kubernetes #Innovation #Cloud #Amazon #AWS #Azure #Microsoft #Google #GCP

Drive Efficiency with DevOps & CI/CD. streamline operations, mitigate risk, and expedite product delivery for unmatched agility. Encounter seamless rollbacks, rigorous testing, and proactive monitoring. Enhance operational excellence and drive growth. It's time to lead the competition. Visit - https://lnkd.in/d533P_8G #devops #cloud #aws #programming #cloudcomputing #technology

**Implementing Linkerd Service Mesh** JARaaS Discovery V3.2 [GPT 4o and Grok2 Tested] [Multi-Cluster Service Mesh with Linkerd] Prompt: Attached Link] 🚀 Excited to share a comprehensive guide on deploying and managing a multi-cluster service mesh using Linkerd! 🌐 This guide is perfect for DevOps engineers, Kubernetes admins, and cloud architects looking to enhance the resilience, security, and performance of their applications across multiple Kubernetes clusters. It covers everything from cluster setup and Linkerd installation to cross-cluster traffic management and observability. Whether you're aiming for better availability, disaster recovery, or just optimizing resource utilization, this guide has you covered. #Kubernetes #ServiceMesh #Linkerd #DevOps #CloudNative #MultiCluster #Networking #CloudArchitecture #ai #innovattion #jaraas #openai #grok2 #automation #k8 #mlops #devops https://lnkd.in/ggV3T_u2

🚀 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗖𝗹𝘂𝘀𝘁𝗲𝗿𝘀 𝗗𝘂𝗿𝗶𝗻𝗴 𝗣𝗲𝗮𝗸 𝗧𝗿𝗮𝗳𝗳𝗶𝗰 🚀 Kubernetes' autoscaling capabilities are crucial for maintaining optimal performance in the face of fluctuating workloads. At DevOps Shack, we've seen how scaling both pods and nodes dynamically can prevent downtime and ensure smooth operations, especially during high-traffic events. 🔹 𝗛𝗼𝗿𝗶𝘇𝗼𝗻𝘁𝗮𝗹 𝗣𝗼𝗱 𝗔𝘂𝘁𝗼𝘀𝗰𝗮𝗹𝗶𝗻𝗴 (𝗛𝗣𝗔) helps scale the number of pod replicas based on CPU, memory, or custom application metrics. This feature is a game-changer for scaling applications during peak hours, like e-commerce flash sales or social media surges. 🔹 𝗖𝗹𝘂𝘀𝘁𝗲𝗿 𝗔𝘂𝘁𝗼𝘀𝗰𝗮𝗹𝗶𝗻𝗴 focuses on managing the number of worker nodes, ensuring there's always enough capacity to handle incoming traffic. It's perfect for heavy workflows like CI/CD pipelines or large-scale online events. 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀: - Set proper resource requests and limits. - Right-size your node instances. - Implement strong monitoring and alerting strategies. In the world of cloud computing, Kubernetes' autoscaling ensures seamless scalability, helping you handle dynamic workloads without missing a beat. #Kubernetes #Autoscaling #DevOpsShack #CloudComputing #DevOps #Kubernetes #KubernetesScaling #DevOps #CloudComputing #Autoscaling #K8s #CloudInfrastructure #HorizontalPodAutoscaling #ClusterAutoscaling #CloudNative #ContainerOrchestration #DevOpsShack #CloudManagement #CloudNativeApps #Microservices #Scalability #HPA #CloudOptimization #CloudPerformance #InfrastructureAutomation #TechInnovation

"🚀 Upskill in 2024: Top 25 Must-Have Skills for DevOps & SRE Engineers! 🌟 Explore the latest guide to mastering cutting-edge skills like AI integration, cloud computing, IaC with Azure Resource Manager (ARM), zero-trust security, and more. From Kubernetes orchestration to data engineering and chaos testing, this comprehensive list ensures you're fully prepared for the rapidly evolving DevOps landscape. Stay ahead of the curve and build a resilient, high-performing infrastructure. 👉 Read more: https://bit.ly/4bvzjeR #DevOps #SRE #CloudComputing #AI #Automation #Infrastructure"

𝑯𝒆𝒚 𝑭𝒂𝒎!   I’ve just completed an exciting project on 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐢𝐧 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐮𝐬𝐢𝐧𝐠 𝐭𝐡𝐞 𝐊𝐢𝐥𝐥𝐞𝐫𝐜𝐨𝐝𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐩𝐨𝐰𝐞𝐫 𝐨𝐟 𝐇𝐨𝐫𝐢𝐳𝐨𝐧𝐭𝐚𝐥 𝐏𝐨𝐝 𝐀𝐮𝐭𝐨𝐬𝐜𝐚𝐥𝐞𝐫 (𝐇𝐏𝐀)! 🌩️ This project focused on scaling Kubernetes applications automatically based on resource utilization, ensuring seamless performance even under high traffic conditions. By implementing HPA, I enabled dynamic scaling of pods to meet fluctuating demands, ultimately improving resource efficiency and system reliability. 𝐊𝐞𝐲 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:  ⚙️ Set up Kubernetes clusters and deployed HPA. 📈 Configured custom metrics to monitor CPU & memory usage. 📊 Achieved real-time autoscaling based on load. 🔧 Optimized resource utilization to reduce costs. This hands-on experience with Kubernetes autoscaling, while working on the Killercoda platform, deepened my understanding of container orchestration and cloud-native infrastructure, equipping me with valuable skills to enhance application performance in production environments. A big thank you to the industry experts Yogesh Kardak,Selva pravin,Mohammed Aseem Akram,Selvam R,Abhishek Reddy who provided their guidance and insights throughout this project – your support was invaluable in bringing this to completion! 🙏 A special shoutout to the PEP Cloud Computing (AWS/ Azure/ GCP) and DevOps Centre for shaping my path and helping me make the right choices in my career journey. Your mentorship has truly been a driving force in my development. 🌟 Looking forward to applying these insights to future projects! 😊 #Kubernetes #CloudComputing #DevOps #Autoscaling #CloudNative #HorizontalPodAutoscaler #Containerization #HPA #TechInnovation #ProjectShowcase #Killercoda

🚢 Kubernetes: The Captain of Containers 🛠️ In today’s cloud-native world, Kubernetes (K8s) has redefined how we deploy, scale, and manage containerized applications. It’s not just a buzzword—it’s the backbone of modern DevOps! Here’s a simple analogy: Imagine your application is a fleet of ships (containers), and Kubernetes is the captain. It ensures: ⚓ Scheduling: Ships are deployed to the right ports (nodes). ⚓ Resilience: If a ship sinks (fails), another takes its place automatically. ⚓ Scaling: Adds or removes ships based on cargo load (traffic). ⚓ Load Balancing: Distributes cargo evenly across all ships. But why should organizations embrace Kubernetes? ✅ Cloud Independence: Seamlessly works across AWS, Azure, GCP, or on-prem. ✅ Efficiency: Optimizes resources, reducing costs. ✅ Agility: Speeds up development cycles and deployment processes. Getting started with Kubernetes might feel overwhelming, but it’s worth it. Start small, experiment, and grow your knowledge step-by-step. #Kubernetes #DevOps #CloudNative #Containers #Microservices #Technology