G Rajini’s Post

Hi, Greetings from Kaizen Soft Solutions LLC  Role : AWS Infra + Dev-ops Engineer Location : Raleigh , NC ( Day 1 onsite) Employment : Contract   Looking for only Bachelor/ Master done  Indian Institute of Technology (IIT)   Must have :- Key skills- AWS ECS, EKS, ECR,AWS WAF, Agro CD , GitHUB,Jenkins,AWS HA.   Skill Number of years of exp AWS ECS  AWS implementation 7-10   years of overall experience and having an experience of managing configuring cloud implementation project. AWS Infra Terraform experience is must for building the infrastructure. AWS ECS, EKS, ECR Hands on experience is required. AWS FIPS endpoints experience/knowledge with hands on implementation. Build, configure, and manage cloud compute and data storage infrastructure for multiple instances of AWS Platform. Build and deploy VPCs, security groups, and user access to our various public cloud systems and services through terraform. Develop processes and procedures for using cloud-based infrastructures, including, access key rotation, disaster recovery, and building new services. Develop scripts and workflows to manage cloud computing systems. Hands-on experience running cloud infrastructure in public clouds like AWS. Strong organization skills as you will manage costs and system access to AWS deployments. Cloud DB Management Network expertise including routing, IP addresses and subnets, firewalls, load balancers, IP SecureVPN, etc. DevOps scripting (YAML, terraform & Python) Worked with CI and CD tools (CodeBuild, Code Pipeline) and Source Repositories (Code Commit)  Landing Zones, CloudFront, Firewall, Routes, VPNs, NACL, IGW, NAT, VPN, Direct Connect, VPC Peering etc) Hands-on experience with centralized logging and monitoring solutions for CloudTrail, Config, Guard Duty, Security HUB, Landing Zone, Lambda, ECS and EKS, WAF, Migration Hub, and SEIM.        • Mandatory experience in Selfhosted Jenkins deployment server for CI/CD Jenkins (for build Jenkins pipeline for deploy infrastructure, EKS clusters and DB's and Ec2's ) Argo CD (who can build, automate, install and configure Argo CD with EKS cluster (Continuous deployment) on aws in each environment to scale/deploy application code on EKS cluster using Argo CD deployments and integrate with Jenkins. Using github/gitlab as a source code version for versioning  Hands on experience on implementation with AWS WAF and create automation through terraform/ enable on load balancer. Should have hand on experience in Installing, integrating, managing complete CICD pipeline, which can build and deploy to cloud Experience in working with team and understand requirement to build CICD pipeline and AgroCD pipelines. Regards Rajini rajini@kzsoftsolutions.com  

Urgent looking - #AWSInfra with Devops Location: #NorthCarolina -#Raleigh Key skills- AWS ECS, EKS, ECR,AWS WAF, Argo CD , GitHUB,Jenkins,AWS HA, Please share your Resume at dhirendra@siriinfo.com #AWS Infra #AWS implementation 7-10   years of overall experience and having an experience of managing configuring cloud implementation project. ·        Terraform experience is must for building the infrastructure. ·        AWS ECS, EKS, ECR Hands on experience is required. ·        AWS FIPS endpoints experience/knowledge with hands on implementation. ·        Build, configure, and manage cloud compute and data storage infrastructure for multiple instances of AWS Platform. ·        Build and deploy VPCs, security groups, and user access to our various public cloud systems and services through terraform. ·        Develop processes and procedures for using cloud-based infrastructures, including, access key rotation, disaster recovery, and building new services. ·        Develop scripts and workflows to manage cloud computing systems. ·        Hands-on experience running cloud infrastructure in public clouds like AWS. ·        Strong organization skills as you will manage costs and system access to AWS deployments. ·        Cloud DB Management ·        Network expertise including routing, IP addresses and subnets, firewalls, load balancers, IP SecureVPN, etc. ·        DevOps scripting (YAML, terraform & Python) Worked with CI and CD tools (CodeBuild, Code Pipeline) and Source Repositories (Code Commit)  ·        Landing Zones, CloudFront, Firewall, Routes, VPNs, NACL, IGW, NAT, VPN, Direct Connect, VPC Peering etc) ·        Hands-on experience with centralized logging and monitoring solutions for CloudTrail, Config, Guard Duty, Security HUB, Landing Zone, Lambda, ECS and EKS, WAF, Migration Hub, and SEIM. •        Mandatory experience in Selfhosted Jenkins deployment server for CI/CD ·        Jenkins (for build Jenkins pipeline for deploy infrastructure, EKS clusters and DB's and Ec2's ) ·        Argo CD (who can build, automate, install and configure Argo CD with EKS cluster (Continuous deployment) on aws in each environment to scale/deploy application code on EKS cluster using Argo CD deployments and integrate with Jenkins. ·        Using github/gitlab as a source code version for versioning  ·        Hands on experience on implementation with AWS WAF and create automation through terraform/ enable on load balancer. ·        Experience in hands on implementation with AWS HA proxy and create automation through terraform and used on load balancer. ·        Should have experience on SIEM tools to integrate with monitoring for required AWS services for gathering security information and event management task to make sure the platform is secure. ·        Responsible for managing and upgrading DevOps toolsets. ·         Thanks & Regards Dhirendra deo Technical Recruiter Contact# 8488000581 Email: dhirendra@siriinfo.com

Position: Sr AWS Infra+Devops engineer Location: Raleigh North Carolina  Job Type: Contract Share resume at _ mrahmat@greattechglobal.com SR Band: B3 AWS implementation  7-10   years of overall experience and having an experience of managing configuring cloud implementation project. AWS Infra Terraform experience is must for building the infrastructure. AWS ECS, EKS, ECR Hands on experience is required. AWS FIPS endpoints experience/knowledge with hands on implementation. Build, configure, and manage cloud compute and data storage infrastructure for multiple instances of AWS Platform. Build and deploy VPCs, security groups, and user access to our various public cloud systems and services through terraform. Develop processes and procedures for using cloud-based infrastructures, including, access key rotation, disaster recovery, and building new services. Develop scripts and workflows to manage cloud computing systems. Hands-on experience running cloud infrastructure in public clouds like AWS. Strong organization skills as you will manage costs and system access to AWS deployments. Cloud DB Management Network expertise including routing, IP addresses and subnets, firewalls, load balancers, IP SecureVPN, etc. DevOps scripting (YAML, terraform & Python) Worked with CI and CD tools (CodeBuild, Code Pipeline) and Source Repositories (Code Commit)  Landing Zones, CloudFront, Firewall, Routes, VPNs, NACL, IGW, NAT, VPN, Direct Connect, VPC Peering etc) Hands-on experience with centralized logging and monitoring solutions for CloudTrail, Config, Guard Duty, Security HUB, Landing Zone, Lambda, ECS and EKS, WAF, Migration Hub, and SEIM. Mandatory experience in Selfhosted Jenkins deployment server for CI/CD Jenkins (for build Jenkins pipeline for deploy infrastructure, EKS clusters and DB's and Ec2's )  Argo CD (who can build, automate, install and configure Argo CD with EKS cluster (Continuous deployment) on aws in each environment to scale/deploy application code on EKS cluster using Argo CD deployments and integrate with Jenkins. Using github/gitlab as a source code version for versioning  Hands on experience on implementation with AWS WAF and create automation through terraform/ enable on load balancer. Experience in hands on implementation with AWS HA proxy and create automation through terraform and used on load balancer. Should have experience on SIEM tools to integrate with monitoring for required AWS services for gathering security information and event management task to make sure the platform is secure. Responsible for managing and upgrading DevOps toolsets. Experience in creating Jenkins CICD pipeline from sratch using automation script. Should have hand on experience in Installing, integrating, managing complete CICD pipeline, which can build and deploy to cloud Experience in working with team and understand requirement to build CICD pipeline and AgroCD pipelines.    

“ɴᴀᴠɪɢᴀᴛɪɴɢ ᴛʜᴇ ᴋᴜʙᴇʀɴᴇᴛᴇꜱ ᴍᴀᴢᴇ: ꜱᴏʟᴜᴛɪᴏɴꜱ ꜰᴏʀ ᴄᴏᴍᴍᴏɴ ʜᴜʀᴅʟᴇꜱ ᴍᴀɴʏ ᴅᴇᴠᴏᴘꜱ ᴘʀᴏꜰᴇꜱꜱɪᴏɴᴀʟꜱ” 1. Pod Scheduling Failures: Error: Pods not scheduling due to resource constraints or node affinity/anti-affinity rules. 😖 Solution: Ensure proper resource requests and limits, adjust scheduling rules, or scale your cluster as needed. 🚀 2. Container Image Issues: Error: Pulling or running container images fails. 😨 Solution: Verify image availability, credentials, and ensure the correct image name and version. 🔍 3. Kubernetes API Rate Limiting: Error: Frequent 429 (Too Many Requests) errors from the Kubernetes API. 🚧 Solution: Implement rate limiting and retries in your applications, or consider horizontal pod autoscaling to handle increased API requests. ⏳ 4. Networking Problems: Error: Services or pods cannot communicate with each other. 🌐 Solution: Check network policies, DNS resolution, firewall rules, and ensure that pods are in the correct namespaces. 🕵️ 5. Storage Issues: Error: Persistent Volume (PV) or Persistent Volume Claim (PVC) issues, like access mode conflicts or insufficient storage. 🗄️ Solution: Verify PV/PVC configurations, adjust access modes, and monitor storage usage. 📏 6. CrashLoopBackOff: Error: Pods enter a continuous restart loop. 🔁 Solution: Inspect pod logs, check for misconfigurations, and address application errors. 🐞 7. Resource Exhaustion: Error: Cluster nodes or resources running out of capacity. 💥 Solution: Monitor resource utilization, autoscale clusters, and optimize resource requests/limits. 📈 8. Secrets Management: Error: Secrets exposed or misconfigured. 🤫 Solution: Use Kubernetes-native secret management, rotate secrets regularly, and limit access to sensitive information. 🔐 9. RBAC Problems: Error: Permission issues or unauthorized access. 🚫 Solution: Review RBAC policies and roles, grant appropriate permissions, and practice the principle of least privilege. 👮 10. Cluster Upgrades: Error: Problems during cluster upgrades. ⚙️ Solution: Follow Kubernetes upgrade documentation carefully, backup critical data, and test upgrades in a non-production environment first. 📦 11. Custom Resource Definitions (CRD) Issues: Error: Problems with custom resource definitions and controllers. 🤖 Solution: Debug CRD controllers, validate CRD configurations, and ensure compatibility with Kubernetes versions. 🧰 These guidelines should help DevOps engineers effectively address common challenges in Kubernetes deployments. If you have any other questions or need further assistance, feel free to ask! 🚀😊 ᴅɪꜱᴄʟᴀɪᴍᴇʀ: ᴡᴇ ᴀʟʟ ʟᴇᴀʀɴ ᴀɴᴅ ꜱʜᴀʀᴇ ꜰʀᴏᴍ ᴠᴀʀɪᴏᴜꜱ ꜱᴏᴜʀᴄᴇꜱ. ɴᴏ ᴏɴᴇ ᴏᴡɴꜱ ᴋɴᴏᴡʟᴇᴅɢᴇ, ᴀɴᴅ ᴛʜᴇʀᴇ'ꜱ ɴᴏ ᴍᴏɴᴏᴘᴏʟʏ ᴏɴ ᴡᴏʀᴅꜱ.

💥💥 Addressing Jenkins Node Timeout Issues When AWS Shared Cluster is Down In a CI/CD pipeline, maintaining seamless integration and deployment processes is crucial. Jenkins, a widely used automation server, relies heavily on its nodes (or agents) to execute build jobs. However, when these nodes are part of an AWS shared cluster, any downtime in the AWS infrastructure can lead to significant disruptions, such scenarios. #### Understanding the Problem When an AWS shared cluster experiences downtime, Jenkins nodes that rely on this cluster can become unreachable. This results in: 1. **Node Disconnections**: Jenkins master loses contact with the nodes, leading to job failures. 2. **Build Failures**: Ongoing and scheduled builds that require these nodes fail to start or complete, causing delays and potentially impacting deployment schedules. 3. **Resource Reallocation**: Jenkins may attempt to reassign jobs to other available nodes, but this can lead to resource contention and further slowdowns if alternative nodes are limited or also affected. #### Identifying the Symptoms Common indicators of node timeout issues include: - **Frequent Build Failures**. - **Connection Errors**. - **Long Queue Times**. #### Troubleshooting Steps 1. **Check AWS Status**: Begin by verifying the status of the AWS services and regions your Jenkins nodes are deployed in. AWS Service Health Dashboard can provide real-time updates on outages. 2. **Node Logs**: Review the logs of the Jenkins nodes for any specific error messages or timeout indicators. This can help pinpoint whether the issue is network-related or due to AWS service disruptions. 3. **Network Configuration**: Ensure that network configurations, such as VPC settings and security groups, have not been altered or impacted by the downtime. 4. **AWS Support**: Contact AWS Support for assistance if the issue appears to be related to the AWS infrastructure. They can provide insights and ETA for resolution. #### Mitigation Strategies While AWS downtime is often out of your control, you can take several steps to mitigate the impact on your Jenkins setup: 1. **Multi-Region Deployment**. 2. **Auto-Scaling Groups**. 3. **Alternative Nodes**. 4. **Timeout Settings**. 5. **Monitoring and Alerts**. 💥💥Conclusion💥💥👍🏾 While AWS shared cluster downtime can disrupt Jenkins operations, understanding the root causes and implementing robust mitigation strategies can minimize the impact. By diversifying your deployment, leveraging auto-scaling, and maintaining vigilant monitoring, you can ensure that your CI/CD pipeline remains resilient and reliable, even in the face of unexpected outages. Do follow me Sabarish Mahalingam for more. let's grow together 🤝 #Jenkins #CI_CD #AWS #CloudComputing #DevOps #Automation #BuildPipeline #Infrastructure #NodeTimeout #TechTips #AWSOutage #ServerManagement #CloudInfrastructure #ITOps #ContinuousIntegration #ContinuousDeployment

!!HIRING!! Title: DevOps & Infra - Shared Services & Replication Engineer (AWS & On-Premise) Location: USA/Canada (Remote) Exp: 10+ Required Skills: Strong experience with Hashicorp Vault and Terraform along with AWS services such as EC2, S3, RDS, VPC, IAM, etc. Proficiency in VMware virtualization technologies and managing On-Premise VMware environments. In-depth knowledge of data replication technologies and strategies, including asynchronous replication, synchronous replication, and log shipping. Hands-on experience with CI/CD tools like Jenkins, Harness, Helm Charts, Sonar Qube, etc. Hands-on experience with Maven and Gradle builds. Expertise in scripting languages such as Groovy, YAMLs, Python, Bash, or PowerShell for automation and orchestration. Familiarity with networking concepts, including TCP/IP, DNS, VPN, and firewalls. Excellent troubleshooting and problem-solving skills in complex distributed systems environments. Strong communication and collaboration skills to work effectively in cross-functional teams. Deep expertise in automating certificate management using Python and corresponding libraries We need someone who's really good at setting up CI/CD pipelines using DevOps tools like Jenkins, Artifactory, Vault, SonarQube, GitHub, Terraform, Rancher, and Harness. It's also important that they have experience with deploying on Kubernetes using Rancher or Harness. Plus, they should know about deploying Kafka MRC and using monitoring tools like Logic Monitor and Splunk. And it'd be great if they have experience with AWS services, especially setting up S3 and AWS Artifactory, and know how to do S3 replication. Experience with K8 and S3/Cloudian for shared infra Specializing in Cloud Infrastructure Modernization, virtualization, data center setup, DR & BC Strategies, and DevOps Experience in on-premises data center operations, AWS hosted data center and operations management Pilot Kafka data replication between AWS and On-Prem Pilot PostgreSQL to run in AWS and On-Prem and the data replication between them Experience with continuous deployment tools, techniques, and automation frameworks – especially Terraform Enterprise and Ansible. Hands-on experience writing testable scripts using Python or other languages. Experience managing helm charts and deploying into Kubernetes (k8s) Expertise with monitoring related tools and frameworks like Splunk, LogicMonitor, SignalFX, and Prometheus. Worked on projects involving deployment and management of micro services, and hybrid cloud/on-prem infrastructure Intermediate working knowledge of development tools like Maven/Gradle, Java, and distributed message brokers like Kafka, RabbitMQ, ActiveMQ, Amazon Kinesis, etc. #hiring #AWS #DevOps #Infrastructure #OnPrem #sharedservices #Replicationengineer #remotejobs #hashicorp Reach me at ahamed.a@promantisinc.com

⭐ Top AWS Services Every DevOps Engineer Should Know ⭐ AWS provides a wide range of services to help DevOps engineers build, deploy, and manage applications efficiently. Here are the top 20 AWS services that every DevOps engineer should be familiar with: 📍AWS WAF (Web Application Firewall): AWS WAF is a web application firewall that helps protect web applications from common web exploits. It filters out malicious traffic before it reaches your application. 📍AWS Shield: AWS Shield is a managed Distributed Denial of Service (DDoS) protection service. It safeguards applications running on AWS against DDoS attacks. 📍ELB (Elastic Load Balancer): AWS Elastic Load Balancer is a service that automatically distributes incoming application traffic across multiple targets, such as EC2 instances, containers, and IP addresses, within one or more Availability Zones. 📍Amazon EC2 (Elastic Compute Cloud): This is where you launch virtual servers, often called instances, to run your applications. 📍Amazon S3 (Simple Storage Service): Use it for scalable storage and to host static websites or store data. 📍AWS Lambda: Execute code in response to events without the need to manage servers. 📍Amazon RDS (Relational Database Service): A managed database service for popular database engines like MySQL, PostgreSQL, and more. 📍Amazon Route 53: AWS's domain name system (DNS) web service to route traffic to your applications. 📍Amazon Elastic Beanstalk: A Platform-as-a-Service (PaaS) for deploying and managing applications easily. A service for deploying and scaling web applications. 📍Amazon ECS (Elastic Container Service): For running, stopping, and managing Docker containers. 📍Amazon EKS (Elastic Kubernetes Service): A managed Kubernetes service to orchestrate containers. 📍AWS CodeDeploy: Automates application deployments to different compute services. 📍AWS CodePipeline: A Continuous Integration/Continuous Deployment (CI/CD) service to build, test, and deploy code. 📍Amazon CloudWatch: Provides monitoring and observability for AWS resources and applications. 📍AWS CloudFormation: Lets you define and provision infrastructure as code using templates. 📍AWS Elastic Load Balancing: Distributes incoming application traffic across multiple targets. 📍AWS Identity and Access Management (IAM): Manages user and group permissions within AWS. 📍AWS CloudTrail: Logs all API calls made on your account, helping with security and compliance. 📍Amazon Cloud Front: A content delivery network (CDN) to distribute content globally with low latency. 📍Amazon VPC (Virtual Private Cloud): Allows you to create isolated networks within AWS. 📍AWS Step Functions: Coordinate multiple AWS services into serverless workflows. 📍AWS Config: Provides a detailed inventory of your AWS resources and tracks changes to configurations over time. #aws #awsservices #cloud #devops #cloudtoday #linkedin #learning #sharingKnowledge

I’m happy to share this Ansible and Terraform project I worked on. Check it out here: https://lnkd.in/gzZCcwXC #Github -> https://lnkd.in/gU2AVQum Terraform and Ansible in #AzureDevops, I AM USING TERRAFORM TO DEPLOY A VM AND USING ANSIBLE TO CONFIGURE IT (NGINX SERVER). 1)Install Required Tools: Install Terraform on your local machine. Install Ansible on your local machine. 2)Set up your Azure DevOps Environment: Create a new project or use an existing one in Azure DevOps. Set up a Git repository to store your Terraform and Ansible code. 3)Configure Azure Provider in Terraform: Create a main.tf file in your Terraform project. Configure the Azure provider in the main.tf file with necessary authentication details. 4)Define Azure Resources: Define the Azure resources you want to provision (e.g., virtual network, subnet, NIC, VM) in your Terraform code. 5)Write Ansible Playbooks: Write Ansible playbooks to configure the VM after provisioning. Include tasks like installing packages, setting up users, configuring services, etc., as required. 6)Configure Terraform to Use Ansible Provisioner: Use the null_resource and local-exec provisioner in Terraform to execute Ansible playbooks. This involves creating a local-exec provisioner in your Terraform code to run Ansible playbooks after VM creation. 7)Set up Azure DevOps Pipeline: Create a new pipeline in Azure DevOps. Configure the pipeline to connect to your Git repository. Create pipeline stages for different tasks (e.g., Terraform deployment, Ansible configuration). Add appropriate tasks in each stage (e.g., checkout Git repository, run Terraform commands, execute Ansible playbooks). 8)Define Variables and Secrets: Define variables for your Azure credentials, resource names, etc., in your Azure DevOps pipeline. Use Azure DevOps pipeline secrets to securely store sensitive information like passwords or API keys. 9)Run the Pipeline: Trigger the pipeline manually or configure it to run automatically on specific events (e.g., code push to Git repository). 10)Monitor and Troubleshoot: Monitor pipeline execution for any errors or failures. Debug and troubleshoot any issues encountered during the provisioning and configuration process. 11)Verify the VM: Once the pipeline completes successfully, verify that the VM is provisioned and configured as expected. #Terraform #InfrastructureAsCode #Ansible #ConfigurationManagement #AzureDevOps #CI/CD #Azure #Git #Automation #DeploymentVerification

6+ plus years of experience in Automating, configuring, and deploying instances on cloud environments. Experience in the areas of DevOps, CI/CD Pipeline, Build and release management, AWS and Linux/Windows Administration Proficient in prioritizing and completing tasks in a timely manner. Extensive working experience with broad range of AWS Cloud Services likeEC2, Auto Scaling, VPC, Route53, RDS, S3, IAM, Elastic Load Balancer (ELB), Elastic Beanstalk, SNS, Glacier, SQS, Dynamo DB, Elastic search, and Cloud Watch, have in-depth practical knowledge on other cloud services like Microsoft Azure. Expertise in DevOps, Release Engineering, Configuration Management, Cloud Infrastructure, Automation. It includes Amazon Webservices (AWS), Apache Maven, Jenkins, SVN, GitHub, Tomcat, JBoss, and Linux. Designed AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates. Experience in implementing CI-CD (Continuous Integration and Continuous Delivery) Pipelines using Jenkins with the integration of automated unit test tools, Code quality analysis tools and Deployment tools. Extensively worked on Jenkins by installing, configuring, and maintaining for the purpose of continuous integration (CI) and for End-to-End automation for all build and deployments. Extensive experience in Dockers to make the application run irrespective of the deployment location. Expertise in DevOps tools like Chef, Ansible and Puppet for Deployment on Multiple platforms. Experience in Kubernetes, Docker Swarm for automating deployment, scaling, and operations of application containers across clusters of hosts alongside container tools, including Docker. Worked on Terraform for provisioning of Environments in GCP platform. AppDynamics end to end readiness for Dev, QA, and Prod environments. Strong working knowledge in developing Restful webservices and Micro Services using Golang. Experienced in generating logging by Log4j to identify the errors in production test environment and experienced in Ant, Maven and Gradle tools. Extensively used Ruby scripting on Chef Automation for creating Cookbooks comprising all resources, Data bags, templates, attributes. Developed Python and Shell Scripts for automation of the build and release process and also developed website both frontend and backend modules using Python Django Web Framework. Experience in Angular, MongoDB and Redis Queue. Improve speed, efficiency, and scalability of the continuous integration environment, automating wherever possible using Python, Ruby, Shell, and PowerShell Scripts. Developed AWS Lambda and AWS S3 using Golang. Experience in creating new API using Golang and Docker. Experience in troubleshooting of enterprise RedHat OpenShift systems and worked continuously to improve speed, efficiency and scalability of OpenShift systems. Email: Vsai70896@gmail.com Phone: (762) 235-7456

✡ AWS services which are essential for a DevOps engineer. 🔶 Security and Compliance: 🔹 AWS IAM (Identity and Access Management): Manages user identities and permissions for accessing AWS services and resources. 🔹 AWS Key Management Service (KMS): Allows you to create and control the encryption keys used to encrypt data stored in AWS services. 🔶 Networking: 🔹 Amazon VPC (Virtual Private Cloud): Provides a logically isolated section of the AWS cloud where you can launch AWS resources in a virtual network. 🔹 AWS Direct Connect: Establishes a dedicated network connection between your on-premises data center and AWS. 🔶 Infrastructure as Code (IaC): 🔹 AWS Cloud Formation: Automates the deployment and management of AWS infrastructure using JSON or YAML templates. 🔹 AWS CDK (Cloud Development Kit): Allows you to define cloud infrastructure using familiar programming languages like Python and Java. 🔶 Monitoring and Logging: 🔹 AWS Cloud Watch: Monitors AWS resources and applications in real-time, collects and tracks metrics, sets alarms, and stores log files. 🔹 AWS Cloud Trail: Records API calls made on your AWS account, providing visibility into user activity and changes to resources. 🔶 Continuous Integration / Continuous Deployment (CI/CD): 🔹 AWS Code Pipeline: Automates the build, test, and deployment phases of your release process. 🔹 AWS Code Build: Fully managed build service that compiles source code, runs tests, and produces software packages. 🔹 AWS Code Deploy: Automates code deployments to Amazon EC2 instances, on-premises servers, and serverless Lambda functions. 🔶 Containers: 🔹 Amazon ECS (Elastic Container Service): Orchestrates and manages Docker containers on EC2 instances. 🔹 Amazon EKS (Elastic Kubernetes Service): Fully managed Kubernetes service for deploying, managing, and scaling containerized applications. 🔹 Amazon ECR (Elastic Container Registry): Provides a fully managed Docker container registry for storing, managing, and deploying Docker container images. 🔶 Serverless: 🔹 AWS Lambda: Runs code in response to events without provisioning or managing servers. 🔹 Amazon API Gateway: Fully managed service for creating, deploying, and managing secure APIs. 🔶 Databases: 🔹 Amazon RDS (Relational Database Service): Managed relational database service for MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB. 🔹 Amazon DynamoDB: Fully managed No-SQL database service for fast and predictable performance with seamless scalability. 🔶 Configuration Management: 🔹 AWS Systems Manager: Centralizes management of EC2 instances and on-premises servers, enabling automated configuration, patching, and maintenance tasks. #aws #cloud #devopsengineer #learningandgrowing #service