Exploring AWS Services for Your Business

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🚀 Top 10 AWS Services Every Tech Professional Should Know 1. Amazon EC2 - The backbone of AWS. Run apps on powerful, scalable virtual servers. 2. Amazon S3 - Store anything, anywhere. From files to backups - it’s secure, simple, and limitless. 3. AWS Aurora - A next-gen database that’s 5x faster than MySQL and fully managed. 4. DynamoDB - Ultra-fast NoSQL database for real-time, high-scale applications. 5. Amazon RDS - Simplifies setup and scaling for SQL databases like MySQL, PostgreSQL & Oracle. 6. AWS Lambda - Go serverless! Run code automatically without managing any servers. 7. Amazon VPC - Build your own private, secure cloud network within AWS. 8. Amazon CloudFront - Deliver your content globally with lightning-fast speed & low latency. 9. Elastic Beanstalk - Deploy apps effortlessly - AWS handles the infrastructure. 10. Auto Scaling - Automatically adjust resources to balance performance & cost. 💡 Why it matters: These services power most of today’s modern cloud applications - from startups to global enterprises. •  Which AWS service do you rely on (or want to master) the most? 👇 Drop it in the comments - let’s see who’s building in the cloud. #AWS #CloudComputing #DevOps #Technology #CloudEngineer #Learning https://vibetechlabs.com/

AWS Config now supports 52 additional AWS resource types across key services including Amazon EC2, Amazon Bedrock, and Amazon SageMaker. This expansion provides greater coverage over your AWS environment, enabling you to more effectively discover, assess, audit, and remediate an even broader range of resources. With this launch, if you have enabled recording for all resource types, then AWS Config will automatically track these new additions. The newly supported resource types are also available in Config rules and Config aggregators. You can now use AWS Config to monitor the following newly supported resource types in all AWS Regions where the supported resources are available: Resource Types AWS::ApiGateway::DomainName AWS::IAM::GroupPolicy AWS::ApiGateway::Method AWS::IAM::RolePolicy AWS::ApiGateway::UsagePlan AWS::IAM::UserPolicy AWS::AppConfig::Extension AWS::IoTCoreDeviceAdvisor::SuiteDefinition AWS::Bedrock::ApplicationInferenceProfile AWS::MediaPackageV2::Channel AWS::Bedrock::Prompt AWS::MediaPackageV2::ChannelGroup AWS::BedrockAgentCore::BrowserCustom AWS::MediaTailor::LiveSource AWS::BedrockAgentCore::CodeInterpreterCustom AWS::MSK::ServerlessCluster AWS::BedrockAgentCore::Runtime AWS::PaymentCryptography::Alias AWS::CloudFormation::LambdaHook AWS::PaymentCryptography::Key AWS::CloudFormation::StackSet AWS::RolesAnywhere::CRL AWS::Comprehend::Flywheel AWS::RolesAnywhere::Profile AWS::Config::AggregationAuthorization AWS::S3::AccessGrant AWS::DataSync::Agent AWS::S3::AccessGrantsInstance AWS::Deadline::Fleet AWS::S3::AccessGrantsLocation AWS::Deadline::QueueFleetAssociation AWS::SageMaker::DataQualityJobDefinition AWS::EC2::IPAMPoolCidr AWS::SageMaker::MlflowTrackingServer AWS::EC2::SubnetNetworkAclAssociation AWS::SageMaker::ModelBiasJobDefinition AWS::EC2::VPCGatewayAttachment AWS::SageMaker::ModelExplainabilityJobDefinition AWS::ECR::RepositoryCreationTemplate AWS::SageMaker::ModelQualityJobDefinition AWS::ElasticLoadBalancingV2::TargetGroup AWS::SageMaker::MonitoringSchedule AWS::EMR::Studio AWS::SageMaker::StudioLifecycleConfig AWS::EMRContainers::VirtualCluster AWS::SecretsManager::RotationSchedule AWS::EMRServerless::Application AWS::SES::DedicatedIpPool AWS::EntityResolution::MatchingWorkflow AWS::SES::MailManagerTrafficPolicy AWS::Glue::Registry AWS::SSM::ResourceDataSync To view the complete list of AWS Config supported resource types, see the supported resource types page.#AWS #updates #development #Ai #API #software

Amazon ECS announces non-root container support for managed EBS volumes https://ift.tt/J5KRNpU Amazon Elastic Container Service (ECS) now supports mounting Amazon Elastic Block Store (EBS) volumes to containers running as non-root users. With this launch, ECS automatically configures the EBS volume’s file system permissions to allow non-root users to read and write data securely, while preserving the root-level ownership of the volume. This enhancement simplifies security-first container deployments by removing the need for manual permission management or custom entrypoint scripts. This feature enhances container security by allowing tasks to run as non-root users, reducing the risk of privilege escalation and unauthorized access to data. Previously, for a container in a task to write to a mounted Amazon EBS volume, it had to run as the root user. ECS now automatically manages EBS volume permissions, simplifying workflows and ensuring that all containers within a task — regardless of user ID — can securely read and write to the mounted volume. This feature is now available in all AWS Regions where Amazon ECS and Amazon EBS are supported, for EC2, AWS Fargate, and ECS Managed Instances launch types. To learn more, see Use Amazon EBS volumes with Amazon ECS in the Amazon ECS Developer Guide. via Recent Announcements https://ift.tt/DQftGqZ November 06, 2025 at 04:00PM #aws #cloudcomputing

🚀 Day 5 — Becoming Cloud Ready 📌 Understanding AWS Fundamentals Today’s learning took me deeper into AWS — Amazon Web Services, the world’s leading cloud platform. And the biggest lesson? Cloud isn’t magic — it’s architecture, strategy, and efficiency. Here’s my simple breakdown of AWS fundamentals 👇 ✅ Global Infrastructure AWS runs through Regions, Availability Zones, and Edge Locations — giving businesses reliability and speed anywhere in the world. ✅ Core Cloud Concepts Compute (EC2, Lambda) — where applications run Storage (S3, EBS) — where data lives Networking (VPC) — how resources connect securely Databases (RDS, DynamoDB) — where structured & fast data is managed ✅ Shared Responsibility Model Security is a team effort: AWS secures the cloud We secure what we run in the cloud ✅ Scalability & Pay-As-You-Go Cloud saves money and adapts to demand — from startups to enterprise scale. 🌥️ Cloud isn’t about tools — it’s about mindset. Today proved that understanding the foundation matters more than rushing through services. I don't rush — I master. #100DaysChallenge #NSPPD #CloudJourney #AWS #StreamsOfJoy #LearningInPublic #DigitalWitch #GodOfTheEleventhHour #Help #DevOps #CloudSecurity #BecomingCloudReady #Day5

AWS Config announces launch of an additional 42 managed Config rules for various use cases such as security, cost, durability, and operations. You can now search, discover, enable and manage these additional rules directly from AWS Config and govern more use cases for your AWS environment. With this launch, you can now enable these controls across your account or across your organization. For example, you can evaluate your tagging strategies across Amazon EKS Fargate profiles, Amazon EC2 Network Insight Analyses, AWS Glue Machine learning transforms. Or you can assess your security posture across Amazon Cognito Identity pools, Amazon Lightsail buckets, AWS Amplify apps and more. Additionally, you can leverage Conformance Packs to group these new controls and deploy across an account or across organization, streamlining your multi-account governance. For the full list of recently released rules, visit the AWS Config developer guide . For description of each rule and the AWS Regions in which it is available, please refer our Config managed rules documentation . To start using Config rules, please refer our documentation . New Rules Launched: AMPLIFY_APP_NO_ENVIRONMENT_VARIABLES AMPLIFY_BRANCH_DESCRIPTION APIGATEWAY_STAGE_DESCRIPTION APIGATEWAYV2_STAGE_DESCRIPTION API_GWV2_STAGE_DEFAULT_ROUTE_DETAILED_METRICS_ENABLED APIGATEWAY_STAGE_ACCESS_LOGS_ENABLED APPCONFIG_DEPLOYMENT_STRATEGY_MINIMUM_FINAL_BAKE_TIME APPCONFIG_DEPLOYMENT_STRATEGY_TAGGED APPFLOW_FLOW_TRIGGER_TYPE_CHECK APPMESH_VIRTUAL_NODE_CLOUD_MAP_IP_PREF_CHECK APPMESH_VIRTUAL_NODE_DNS_IP_PREF_CHECK APPRUNNER_SERVICE_IP_ADDRESS_TYPE_CHECK APPRUNNER_SERVICE_MAX_UNHEALTHY_THRESHOLD APS_RULE_GROUPS_NAMESPACE_TAGGED AUDITMANAGER_ASSESSMENT_TAGGED BATCH_MANAGED_COMPUTE_ENV_ALLOCATION_STRATEGY_CHECK BATCH_MANAGED_SPOT_COMPUTE_ENVIRONMENT_MAX_BID COGNITO_IDENTITY_POOL_UNAUTHENTICATED_LOGINS COGNITO_USER_POOL_PASSWORD_POLICY_CHECK CUSTOMERPROFILES_DOMAIN_TAGGED DEVICEFARM_PROJECT_TAGGED DEVICEFARM_TEST_GRID_PROJECT_TAGGED DMS_REPLICATION_INSTANCE_MULTI_AZ_ENABLED EC2_LAUNCH_TEMPLATES_EBS_VOLUME_ENCRYPTED EC2_NETWORK_INSIGHTS_ANALYSIS_TAGGED EKS_FARGATE_PROFILE_TAGGED GLUE_ML_TRANSFORM_TAGGED IOT_SCHEDULED_AUDIT_TAGGED IOT_PROVISIONING_TEMPLATE_DESCRIPTION IOT_PROVISIONING_TEMPLATE_JITP IOT_PROVISIONING_TEMPLATE_TAGGED KINESIS_VIDEO_STREAM_MINIMUM_DATA_RETENTION LAMBDA_FUNCTION_DESCRIPTION LIGHTSAIL_BUCKET_ALLOW_PUBLIC_OVERRIDES_DISABLED RDS_MYSQL_CLUSTER_COPY_TAGS_TO_SNAPSHOT_CHECK RDS_PGSQL_CLUSTER_COPY_TAGS_TO_SNAPSHOT_CHECK ROUTE53_RESOLVER_FIREWALL_DOMAIN_LIST_TAGGED ROUTE53_RESOLVER_FIREWALL_RULE_GROUP_ASSOCIATION_TAGGED ROUTE53_RESOLVER_FIREWALL_RULE_GROUP_TAGGED ROUTE53_RESOLVER_RESOLVER_RULE_TAGGED RUM_APP_MONITOR_TAGGED RUM_APP_MONITOR_CLOUDWATCH_LOGS_ENABLED#AWS #updates #development #Ai #API #software

🚀 Cloud Tip of the Day One thing I love about AWS is that learning never stops. 📅Today I revisited the AWS Well-Architected Framework, and every time I go through it, I pick up something new. Revisiting fundamentals is just as important as learning new services. Consistency > Intensity. 🔍 Why It Matters The Well-Architected Framework gives a clear way to evaluate and improve workloads across six pillars: Operational Excellence | Security | Reliability | Performance Efficiency | Cost Optimization | Sustainability If you’re designing or operating on AWS, this is one framework worth reviewing regularly. 🔗 Helpful AWS Links 📘 Overview: https://lnkd.in/dG4xFrDP 📌 Pillars: https://lnkd.in/d645Q3hb 🛠️ Well-Architected Tool: https://lnkd.in/dnFSZ25R Cloud learning is a journey not a destination. #AWS #CloudLearning #WellArchitected #DevOps Amazon Web Services (AWS)

Migrating to Amazon RDS (Step-by-Step Lab Walkthrough) Ever wondered how to move from a manually managed EC2 database setup to a fully managed Amazon RDS environment? I just published a new walkthrough that breaks down the process in a simple, hands-on way. In this post, I cover how to: ✅ Launch and configure an RDS instance ✅ Set up a Multi-AZ deployment for high availability ✅ Configure automated backups ✅ Create a read replica to boost performance Whether you’re learning AWS or brushing up on your cloud infrastructure skills, this guide walks you through everything, from setup to best practices with clear, beginner-friendly steps. Check out the full blog here 👇 🔗 https://lnkd.in/gsG2fArA #AWS #CloudComputing #AmazonRDS #DatabaseMigration #DevOps #CloudEngineer #LearningInPublic

🚀 Choosing the Right AWS Compute Option: EC2, Lambda, Containers, ECS, EKS & Fargate. 🖥️ Amazon EC2 (Elastic Compute Cloud) ➡️ Infrastructure-level compute with full control. Manage OS, scaling, and patching yourself — great for workloads needing custom networking, GPU support, or specific OS-level configurations. Use Case: Legacy applications, custom middleware, self-managed databases, or workloads needing persistent instances. ⚡ AWS Lambda ➡️ Serverless, event-driven compute. Runs your code in response to triggers without managing servers — scales automatically and bills by execution time. Use Case: Real-time data processing, file transformations, API backends, event pipelines (S3 → Lambda → DynamoDB). 📦 Containers ➡️ Lightweight, portable, and consistent runtime environments. Encapsulate dependencies and configs — great for microservices, CI/CD pipelines, and hybrid deployments. ⚙️ Amazon ECS (Elastic Container Service) 💡 AWS-managed container orchestration service — simpler to set up and tightly integrated with AWS. Use Case: Great for microservices, batch jobs, and applications where you want AWS to handle the orchestration but maintain control of the container logic. ☸️ Amazon EKS (Elastic Kubernetes Service) 💡 Managed Kubernetes service — if you already use or prefer Kubernetes, EKS gives you all its flexibility without managing the control plane. Use Case: Ideal for enterprises already invested in Kubernetes tooling and workflows. 🛳️ AWS Fargate 💡 Serverless compute engine for containers — run containers without managing servers or clusters (works with ECS or EKS). Use Case: Best when you want to focus only on your application code and let AWS handle scaling and infrastructure management. #AWS #CloudComputing #Serverless #DevOps #Containers #ECS #EKS #Fargate #Lambda #EC2 #CloudArchitecture

🚀 How We Reduced AWS Cloud Spend Significantly — Without Sacrificing Performance A real-world case study in cloud cost optimization After years in cloud infrastructure, I’ve come to believe: “Cloud isn’t expensive. Uncontrolled cloud is.” Earlier this year, I led an initiative to rein in AWS costs across our environments. ✅ Result: Meaningful reductions — without compromising availability, performance, or developer agility. Here’s what worked for us 👇 1️⃣ Strategic Commitments: Savings Plans & Reservations • Compute Savings Plans (EC2, ECS, SageMaker) • Reserved Instances (RDS, ElastiCache, OpenSearch) → Focused on stable, production workloads 2️⃣ Autoscaling: From Fixed to Flexible • EC2 Auto Scaling Groups • ECS task-based scaling • AWS Glue Autoscaling & Flex Runners → Moved from “always-on” to “scale-as-needed” 3️⃣ Parking Non-Prod Resources • Auto shutdown during nights/weekends • Applies to EC2, RDS, ECS, etc. → No more idle cloud costs 4️⃣ Rightsizing + Smart Provisioning • Resized over-provisioned resources • Defaulted to “start small, scale later” → Avoided “just in case” overspending 5️⃣ Cleaning Up Stale & Orphaned Resources • Removed unused volumes, Elastic IPs, snapshots, and old infra → Small wins that stack up 6️⃣ Smarter Storage: S3 Lifecycle Policies • Transitioned objects from S3 Standard → IA → Glacier → Based on data access patterns 7️⃣ Architecture Adjustments • Moved EC2 workloads to ECS Fargate • Replaced EBS-heavy flows with serverless • Consolidated duplicate infra 8️⃣ Tagging, Dashboards & Team Ownership • Enforced tagging across resources • Built cost dashboards by team, service, env → Gave teams visibility and ownership 9️⃣ SageMaker Notebook Lifecycle Configs • Auto-stopped idle notebooks • Used scripts for tagging & setup → No more forgotten notebooks eating budget 💡 Key Takeaway: Cloud cost optimization isn’t a finance task — it’s an engineering discipline. With the right mindset, architecture, and automation, real savings are possible — even at scale. I’m curious: 💬 What’s one cloud cost-saving habit your team uses consistently? 👇 Drop it in the comments — I’d love to learn from your experience! #AWS #CloudCostOptimization #FinOps #DevOps #CloudEngineering #S3 #Glue #Terraform #ECS #EC2 #Autoscaling #Infrastructure #Architecture #CloudOps #CloudSavings #SageMaker