Let this guide teach you how to simplify and scale your testing using containers in the cloud. Perfect for developers ready to level up! Start here 👉 https://bit.ly/3V1CULA #DockerLearning
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If you want to get your EL costs really low, you need to use serverless execution. Here's a step by step guide on how to deploy dlt to cloud run. https://lnkd.in/epHeNpck
Deploy with Google Cloud Run | dlt Docs
dlthub.com
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In cloud computing, serverless and containers are two of the most popular technologies for application development and deployment. Serverless offers a pay-per-execution model that promises scalability without the burden of managing infrastructure, while containers provide a flexible and portable way to package applications with their dependencies. This has sparked a debate: Is serverless more expensive than containers? The answer isn’t straightforward, as costs can vary significantly based on usage patterns, scaling needs, and management overhead. In this article, we’ll look into the cost factors of both serverless and containers to help you make an informed decision. Read More: https://lnkd.in/dXtqfeAA #CloudComputing #Serverless #Containers #FaaS #AWSLambda #AzureFunctions #GoogleCloudFunctions #Docker #Kubernetes #CostComparison #Scalability #ResourceManagement #OptimizeCosts #EventDriven #Microservices #ContinuousDeployment #DevOps #SpotInstances #ApplicationDevelopment #InfrastructureManagement #PayPerExecution #PortableApps
Is Serverless More Expensive Than Containers?
medium.com
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I recently attended a comprehensive two-day session on cloud computing. During the session : ~Understanding Cloud Computing: Gained insights into the core concepts, different models (IaaS, PaaS, SaaS), and various types (public, private, hybrid) of cloud computing. ~Microsoft Azure Fundamentals: Explored the basics of Microsoft Azure, including the extensive range of resources it offers and the crucial concept of resource groups for efficient management. - Hands-on Projects: ~Virtual Machine Creation: Successfully created a virtual machine, understanding its setup and configuration. ~Web Application Deployment: Deployed a basic web application, showcasing the seamless process of getting applications up and running in the cloud. ~Azure SQL Server and Database Setup: Configured an Azure SQL server and database. - Advanced Azure Features: ~Azure Functions: Learned to create serverless functions to execute code in response to events. ~Logic Apps: Designed workflows using Azure Logic Apps, enabling the automation of tasks. #CloudComputing #MicrosoftAzure
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Optimize Your Azure Migration with FinOps Best Practices. Drive the most value from your cloud investment during migration so that you can realize your business goals, accelerate growth, drive sustainable innovation, or realize cost benefits of the cloud.
Optimize Your Azure Migration with FinOps Best Practices - AzureCloud.pro
https://azurecloud.pro
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🌟 Exploring Azure Cloud: Understanding IaaS, PaaS, and SaaS 🌥️ Alhamdulillah, diving deeper into Azure Cloud today and breaking down the key service models that power the cloud ecosystem! ✨ Here’s What I Learned: 1️⃣ IaaS (Infrastructure as a Service): The foundation of cloud services. Azure provides virtual machines, storage, and networking. You manage and configure them according to your needs. 2️⃣ PaaS (Platform as a Service): Builds on IaaS by offering a platform to develop, run, and manage applications. For example, configuring a MySQL database on a virtual machine falls under PaaS. 3️⃣ SaaS (Software as a Service): The most user-friendly model, providing ready-to-use software like Outlook, hosted and maintained by the cloud provider. 💡 Key Difference: If you're provisioning VMs, storage, and networks ➡️ IaaS If you're setting up platforms like MySQL on these VMs ➡️ PaaS If you're using software like Outlook directly ➡️ SaaS 🌐 Takeaway: Azure Cloud offers incredible flexibility with its layered services, catering to diverse business needs. Excited to continue this journey and learn how these models power modern tech solutions! 📩 Let’s connect and share insights about your cloud journey. What’s your favorite cloud service model? Thanks for providing the best courses free Abhishek Veeramalla #AzureCloud #CloudComputing #100DaysOfCode #IaaS #PaaS #SaaS #DevOps #TechLearning #Automation #Infrastructure #DigitalTransformation #AlNafi #AiOps #LearningJourney #CloudServices
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CloudySetup is a CLI tool designed to streamline AWS resource management using AWS Cloud Control API. It leverages Amazon Bedrock fully managed service with Anthropic - Claude V2 Gen AI model to create, read, update, list, and delete AWS resources by generating configurations compatible with AWS Cloud Control API.
GitHub - mostlycloudysky/cloudysetup: Automate cloud environment setup using generative AI and AWS Cloud Control API.
github.com
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Cloud Run: Serverless Computing Made Easy Google Cloud Run is a fully managed compute platform that allows you to run stateless containers that scale automatically based on incoming traffic. It's a fantastic option for modernizing your applications and reducing operational overhead. Key Benefits of Cloud Run: Serverless: No infrastructure to manage, pay only for what you use. Auto-scaling: Automatically scales based on traffic, ensuring optimal resource utilization. Fast deployment: Deploy containerized applications quickly and easily. Fully managed: Handles infrastructure, networking, and scaling. Integration: Seamlessly integrates with other GCP services like Cloud Build, Cloud Functions, and Cloud Run Jobs. Use Cases: API endpoints: Build and deploy RESTful APIs quickly. Microservices: Create and manage microservices architecture. Web applications: Deploy web applications with automatic scaling. Event-driven applications: Trigger functions based on events from other GCP services.
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Thrilled to share my latest blog on using Terraform to manage IBM Cloud! 🚀 Whether you're new to Terraform or looking to streamline your IBM Cloud infrastructure, this guide covers practical tips and code examples to get you started. 🌐 Dive in and simplify your cloud automation! #Terraform #IBMCloud #CloudAutomation #InfrastructureAsCode #DevOps #TechBlog
Guide to use terraform for creating IBM Cloud resources (Classic and VPC)
community.ibm.com
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I'm excited to share my latest blog post where I dive into the world of AWS and the fundamental. by Shubham Londhe Sir in aws zero to hero course. #90daysofdevops Understanding Cloud Service Models and AWS Essentials ☁️ IaaS: Rent infrastructure like servers and storage (e.g., AWS EC2). PaaS: Develop and deploy applications without managing underlying hardware (e.g., AWS Elastic Beanstalk). SaaS: Access software applications over the internet (e.g., Microsoft 365). Also, I’m learning about AWS features: EC2: Scalable virtual servers. how to create an template Auto Scaling: Adjusts server capacity based on demand. #CloudComputing #AWS #IaaS #PaaS #SaaS #TechJourney #DevOps #CloudServices #AWSCloud #InfrastructureAsAService #PlatformAsAService #SoftwareAsAService #AWSFeatures #EC2 #AutoScaling #CloudFormation #TechInsights #CloudArchitecture #DigitalTransformation #Innovation #TechTrends #CloudTechnology #AWSDeveloper #CloudComputingTips #TechCommunity #LearningJourney #ProfessionalGrowth
AWS
pratikshasatpute.hashnode.dev
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708,347 followers
Software & Web Developer
1wLove this, very easy to pick up.