Ioannis Sarris’ Post

Managing #AI workloads doesn’t have to be complicated. With dstack on CUDO Compute, you can skip the heavy #DevOps setups and focus on what matters—building and deploying amazing #AImodels. From streamlined dev environments to scalable endpoints, we’ve got you covered. Curious? Dive into the details and see how easy AI infrastructure can be with us. Read the rest to learn more 👇

Kubernetes Namespaces are a way to divide cluster resources between multiple users or teams. They create isolated environments within a Kubernetes cluster, enabling you to run multiple applications without interference. Each Namespace has its own set of resources, such as pods, services, and deployments, and can be managed independently. Best Practices for Using Namespaces: ✅ Create separate Namespaces for development, testing, and production to avoid accidental interference. ✅ Define quotas to manage resource consumption and prevent any Namespace from monopolizing cluster resources. ✅ Use network policies to control traffic flow between Namespaces, enhancing security and isolation. ✅ Name your Namespaces in a way that clearly indicates their purpose (e.g., dev-app1, prod-app2). ✅ Regularly monitor the resource usage and activity in each Namespace to ensure compliance with policies and quotas. At Codegiant, we’re transforming the way teams handle workflows and CI/CD pipelines. Our platform not only supports traditional #DevOps but also integrating #ML and #AI Ops to streamline your development process. Start deploying for FREE: https://hubs.li/Q02KzHMT0 #kubernetes #cloud #namespace #devops

🚀 Streamlining DevOps with Azure🚀 I'm excited to share a snapshot of our Azure DevOps pipeline that demonstrates how we efficiently manage our CI/CD processes. This architecture ensures seamless integration, deployment, and monitoring across our development lifecycle. Key Components: 1. Repositories: Hosting our codebase for collaborative development. 2. Azure Pipelines: Automating builds and releases with stages including development, staging, and production. 3. Azure Artifacts: Managing dependencies to streamline package distribution. 4. Azure Key Vault: Securing secrets and keys critical for our applications. 5. Azure App Services & Virtual Machines: Hosting and running our applications with reliability and scalability. 6. Monitoring: Leveraging Application Insights and Log Analytics to gain actionable insights and maintain application health. This robust setup allows our team to accelerate delivery while maintaining high-quality standards. 🔧 Tools and Technologies: - Azure Repos - Azure Pipelines - Azure Artifacts - Azure Key Vault - Azure App Services - Virtual Machines - Application Insights - Log #AzureDevOps #CICD #DevOps #AzurePipelines #CloudComputing #ContinuousIntegration #ContinuousDelivery #Azure #Cloud #SoftwareDevelopment #DevOpsEngineering #Technology #Innovation #DigitalTransformation #Monitoring #Automation #InfrastructureAsCode

🚀 Big things are happening in DevOps! 🚀 Austin McMillan, Solution Partner and DevOps Competency Lead at Vertical Relevance, took the stage to share groundbreaking updates in the DevOps world. 🌐 ✨ Simplifying Complexity: EKS Auto Mode is revolutionizing how we manage EC2 clusters—easier setup, less hassle. 🤖 AI Meets DevOps: Imagine context-aware Terraform generators powered by Generative AI—we are already exploring the possibilities. 🔮 Eyes on 2025: With innovation in full swing, the future of DevOps has never looked brighter. Here’s to redefining what’s possible in 2025 and beyond! 💪 #DevOps #AI #Innovation #CloudTech #AWSReInvent #AWSPartner #APNProud Amazon Web Services (AWS) AWS Partners AWS Events

🔔 AI is transforming DevOps automation. Are you ready? Join @Kyle Forster and @Abby Kearns as they discuss: ⚡ The evolution of automation tools 🔍 How AI can safely help your team accelerate automation 100x 🎯 Benefits of AI-ready automation for handling repetitive tasks If your team is ready to scale up automation, this is the talk you can’t miss! Watch now to prepare for the AI-driven future of DevOps. 🚀 #DevOps #AI #TechLeadership #Automation #PlatformEngineering #Kubernetes #AWS #GCP #Azure #WhatDoIRunWhen

Deploying and managing AI got you feeling like you're climbing a mountain? 🌄 Fear not! With OpenShift and Mahity by your side, the journey becomes a breeze. Just like Success Kid, you can celebrate hassle-free AI deployment and management. 🚀 No more struggling with complex pipelines, scalability issues, or resource management. Mahity simplifies every step, ensuring your AI models are up and running smoothly. #OpenShiftAI #AIOptimization #Kubernetes #CloudNative #DevOps #k8s #DevOps #cloudcomputing #Pods #linuxfoundation #DevSecOps #ibm #Startups #careers #linux #containers #Development #reliability #availability #scalability #security #cloudnative #microservices #serverless #artificialintelligence #AI #analytics #cloudsecurity #mahity Red Hat Amazon Web Services (AWS) Google Cloud Microsoft Azure IBM

**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

🚀 Streamlining DevOps with Azure🚀 I'm excited to share a snapshot of our Azure DevOps pipeline that demonstrates how we efficiently manage our CI/CD processes. This architecture ensures seamless integration, deployment, and monitoring across our development lifecycle. Key Components: 1. Repositories: Hosting our codebase for collaborative development. 2. Azure Pipelines: Automating builds and releases with stages including development, staging, and production. 3. Azure Artifacts: Managing dependencies to streamline package distribution. 4. Azure Key Vault: Securing secrets and keys critical for our applications. 5. Azure App Services & Virtual Machines: Hosting and running our applications with reliability and scalability. 6. Monitoring: Leveraging Application Insights and Log Analytics to gain actionable insights and maintain application health. This robust setup allows our team to accelerate delivery while maintaining high-quality standards. 🔧 Tools and Technologies: - Azure Repos - Azure Pipelines - Azure Artifacts - Azure Key Vault - Azure App Services - Virtual Machines - Application Insights - Log #AzureDevOps #CICD #DevOps #AzurePipelines #CloudComputing #ContinuousIntegration #ContinuousDelivery #Azure #Cloud #SoftwareDevelopment #DevOpsEngineering #Technology #Innovation #DigitalTransformation #Monitoring #Automation #InfrastructureAsCode

🚀 Harnessing AWS Kinesis for Real-Time Data Streaming in DevOps! 🚀 In today’s fast-paced DevOps landscape, real-time data processing is critical for making informed decisions, scaling infrastructure, and optimizing performance. AWS Kinesis is a game-changer when it comes to real-time data ingestion, processing, and analysis at scale. 💡 Why AWS Kinesis Matters in DevOps: 🛠️ Continuous Monitoring: Stream logs and metrics from various applications and infrastructure, enabling real-time observability and faster incident response. 🛠️ Automated Scaling: Kinesis integrates seamlessly with other AWS services like Lambda and S3 to trigger automated workflows, enabling scalable, fault-tolerant architectures. 🛠️ Data-Driven Insights: Process high-throughput data streams in real time to deliver insights, track user activity, and optimize deployments. By incorporating Kinesis into your DevOps workflows, you can improve operational efficiency, enhance system reliability, and automate scaling—all while maintaining a robust and agile infrastructure. #AWS #DevOps #Kinesis #RealTimeData #Automation #CloudComputing