Hire the Best AWS DevOps Engineers

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Based on 5,213 client reviews
Mohamed B.

Sousse, Tunisia

$50/hr
5.0
1 jobs

I help teams run production Kubernetes on AWS, GCP, and multi-cloud environments reliably, observably, and without runaway cloud bills. As an SRE and Cloud Platform Engineer at a Silicon Valley DaaS company, I operate cloud-native platforms that provision more than 1000 cloud desktop containers in under 60 seconds and helped reduce cloud costs by 33% through capacity planning and Kubernetes optimization. My core work includes Kubernetes on AWS EKS and GCP GKE, Terraform and Terragrunt, Docker, CI/CD, GitOps with GitHub Actions and ArgoCD, and observability with Prometheus, Grafana, Loki, and related tooling. I improve MTTR through alerting, incident response, and post-mortems. I also build Linux desktop container workloads for VDI and DaaS use cases. Selected outcomes: Gomydesk: Production Kubernetes on EKS and GKE, AWS and GCP infrastructure, GitOps CI/CD, observability, incident management, more than 1000 cloud desktops in under 60 seconds, and 33% cloud cost reduction. Serveden: Kubernetes and GKE for AI and LLM workloads, Prometheus, Grafana, Loki, Tempo, cluster automation, stability improvements, and cost optimization. Takiacademy: Backend and platform work for Messaggera platform with 50K+ users and TakiAcademy with 400K+ users, real-time systems with Socket IO, CI/CD, and production reliability. I am CKAD certified, a Kubeflow contributor, and have trained 80+ engineers on Docker, Kubernetes, ArgoCD, and Bash. Ideal projects: Kubernetes on EKS or GKE, cloud infrastructure audits, Terraform IaC, GitOps, observability stacks, cost optimization, incident response, and SRE retainers. Message me your cloud provider, cluster size, and top infrastructure pain point. I will reply with a concrete first step.

  • Amazon Web Services
  • Kubernetes
  • DevOps Engineering
  • Google Cloud Platform
  • Terraform
  • Docker
  • CI/CD
  • Linux
  • Docker Compose
  • Grafana
  • Prometheus
  • GitHub
  • Golang
  • MERN Stack
Shunmuga Sundara Perumal T.

Chennai, India

$40/hr
4.9
11 jobs

I’m an AWS Certified Solutions Architect – Professional with multiple AWS specialty certifications and hands-on experience designing scalable, secure cloud architectures. I help businesses migrate applications to AWS, improve infrastructure reliability, and implement DevOps best practices. My AWS Certifications: • AWS Certified Solutions Architect – Professional • AWS Certified Security – Specialty • AWS Certified Advanced Networking – Specialty • AWS Certified Solutions Architect – Associate • AWS Certified Cloud Practitioner I can help with: • Cloud migration to AWS • High-availability architecture design • DevOps automation and CI/CD pipelines • Infrastructure security and networking • Application deployment and monitoring I also teach AWS concepts on my YouTube channel(Learn Tech), helping engineers understand real-world AWS architecture and best practices.

  • Cloud Architecture
  • Cloud Development
  • AWS CloudFormation
  • AWS Development
  • Solution Architecture
  • AWS CloudTrail
  • Cloud Migration
  • Security Infrastructure
  • CI/CD
  • AWS Lambda
  • AWS Glue
  • AWS CloudFront
  • AWS Application
  • AWS Amplify
  • AWS Server Migration
  • Amazon EC2
  • Amazon S3
  • AWS CodeDeploy
Hamdi D.

Tunis, Tunisia

$40/hr
5.0
3 jobs

𝐒𝐡𝐨𝐫𝐭 𝐕𝐞𝐫𝐬𝐢𝐨𝐧: I am an experienced Cloud `| DevOps engineer, specializing in automation, infrastructure, and security compliance, with hands-on expertise in AWS, Azure, and GCP. I help clients ensuring the delivery of secure and scalable cloud solutions while achieving cost optimization. ── .✦ ── .✦ ── .✦ ── 𝐓𝐡𝐞 𝐋𝐨𝐧𝐠 𝐃𝐞𝐭𝐚𝐢𝐥𝐞𝐝 𝐕𝐞𝐫𝐬𝐢𝐨𝐧: As a Cloud | DevOps engineer with 6+ years in the industry, I have extensive hands-on experience with AWS, Azure, and Google Cloud Platform (GCP). Cloud automation, infrastructure, security compliance and cost optimization are among my strongest skills. My computer science engineering degree, alongside optimizing clients’ spending, makes me qualified to develop secure, scalable, and optimal cloud architectures that meet business objectives. Core Cloud Services & Specializations: - Multi-Cloud Architecture: Design and implement robust, secure, and scalable architectures on AWS, Azure and GCP. - DevOps Automation: Deploy CI/CD pipelines using GitHub Actions, GitLab CI/CD and manage infrastructure using Terraform, CloudFormation, Python, and Bash. - Cloud Migration: Migrate on-premises workloads to the cloud with minimal downtime and optimized cost across all major platforms. - Operating System Support: In-depth experience with Windows Server, Linux (Ubuntu, CentOS,Debian), including performance tuning and scripting. - Database: AWS RDS Postgres, MySQL, AWS DynamoDB, Amazon Aurora. - Containerization: Docker, Kubernetes, EKS, Amazon ECS, AWS Fargate, GCP, Microsoft Azure. Certifications That Back My Expertise: ✅ AWS Certified: AWS Certified Solutions Architect ✅ HashiCorp Certified: Terraform Associate ✅ EC-Council Certified: Certified Ethical Hacker (CEH) ✅ Cisco Certified: CCNA Routing and Switching My experience includes working with automation of cloud infrastructure, DevSecOps, network security, and cost management, which allows me to develop solutions that are tailored to your needs. In case you need someone to design your cloud journey, automate deployments, improve your infrastructure, enhance security, or reduce expenses for a certified cloud specialist, let’s contact and explain how to achieve everything you have envisioned on the cloud. I highly value communication, i can help upskill engineers, transfer knowledge to your team, document runbooks

  • DevOps
  • Computing & Networking
  • Cloud Architecture
  • Cloud Implementation
  • Cloud Security
  • Cloud Services
  • GitHub
  • GitLab
  • Terraform
  • Amazon ECS
  • Amazon EC2
  • AWS CloudFormation
  • Amazon S3
  • Amazon Virtual Private Cloud
  • Cloud Migration
George O.

Lagos, Nigeria

$25/hr
5.0
5 jobs

As an AWS-certified DevOps and cloud security engineer, I help startups, fintech companies, and AI/ML platforms build secure, compliant, production-grade AWS infrastructure — including the AI infrastructure layer most DevOps engineers haven't touched yet: LLM inference endpoints, RAG pipelines, and GPU-backed compute. With certifications in AWS DevOps Engineer – Professional, AWS Solutions Architect – Professional, AWS Security – Specialty and AWS CloudOps Engineer – Associate, your infrastructure is in capable, currently-certified hands. WHAT I DO BEST AI/ML Infrastructure on AWS I deploy fine-tuned LLM inference endpoints across GPU instance families, build RAG knowledge bases using Amazon Bedrock and pgvector, and stand up Feature Stores for ML pipelines — all on Terraform, all production-grade. If your platform runs AI workloads, I build the infrastructure underneath the model. Enterprise Cloud Foundation & Governance I establish AWS cloud foundations using Control Tower and Landing Zone with automated multi-account environments and security guardrails — Security Hub, GuardDuty, AWS Config, CloudTrail, and SCPs. This significantly eases SOC 2, ISO 27001, and HIPAA audit preparation through automated compliance evidence. Security-First Infrastructure VPC isolation, least-privilege IAM, secrets management, and encryption everywhere. A recent project passed a SOC 2 audit with zero infrastructure findings, built in from day one. Cloud Migrations & Containerization I migrate applications from on-premises and legacy clouds (GCP, Azure) to AWS with zero downtime — deploying to ECS/Fargate, EKS, or traditional EC2, with a focus on cost efficiency and security. Infrastructure as Code Everything is Terraform-based, version-controlled, and reproducible — multi-account Control Tower setups, VPC architectures, IAM policies, all defined as code with peer review. CI/CD & Production Reliability Deployment pipelines (GitHub Actions, GitLab CI, AWS CodePipeline) that cut deployment time from hours to minutes, with automated testing and rollback. Designed for 99.99% uptime through Multi-AZ deployments and auto-scaling. RECENT RESULTS - Architected GCP-to-AWS migration for an AI/ML fintech platform — 5 fine-tuned LLM inference endpoints across GPU instance families, RAG knowledge base on pgvector, full Terraform IaC - Deployed a containerized Spring Boot app on ECS Fargate with Control Tower multi-account setup, Security Hub, GuardDuty, Config, and CloudTrail across dev/staging/prod - Migrated a payment platform to AWS — 99.99% uptime, handled 10x traffic spikes, 40% cost reduction - Delivered enterprise Landing Zone migration framework for 85 applications, 450 VMs, 55 databases - Automated deployments from 2 hours to 15 minutes with improved security posture TECH STACK AWS AI/ML: Amazon Bedrock, Amazon SageMaker, RAG pipelines, pgvector, Feature Store, GPU instances AWS Governance & Security: Control Tower, Organizations, Security Hub, GuardDuty, Config, CloudTrail, IAM, Secrets Manager, KMS, WAF AWS Infrastructure: ECS/Fargate, EC2, Lambda, RDS, DynamoDB, S3, VPC, CloudFront, ALB/NLB, Auto Scaling Containers & Orchestration: Docker, ECS/Fargate, Kubernetes/EKS, ECR Infrastructure as Code: Terraform (5+ years), CloudFormation, AWS CDK CI/CD: GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline/CodeBuild/CodeDeploy Databases: RDS (PostgreSQL, MySQL, SQL Server), DynamoDB, MongoDB/DocumentDB Monitoring: CloudWatch, CloudTrail, VPC Flow Logs, Security Hub, Config Scripting: Python, Bash, Shell WHO I WORK WITH - AI/ML platforms needing production-grade inference and RAG infrastructure - Startups preparing for SOC 2 certification - Fintech companies needing secure infrastructure for financial data - Healthcare/SaaS companies requiring HIPAA-ready environments - Companies migrating from on-premises, GCP, or Azure to AWS - Enterprises needing multi-account AWS governance WHAT MAKES ME DIFFERENT Most DevOps engineers deploy applications. I build enterprise security foundations — and the AI infrastructure layer most of them haven't touched yet. You get: ✓ AI/ML infrastructure built by someone who understands both the model and the cloud underneath it ✓ Security and compliance built in from day one ✓ Automated audit evidence collection ✓ Multi-account governance preventing drift ✓ Clear documentation and knowledge transfer Looking for secure, audit-ready AWS infrastructure — or AI/ML platform infrastructure that actually scales? Let's talk.

  • DevOps
  • Amazon Web Services
  • Linux
  • Docker
  • Terraform
  • Python
  • Kubernetes
  • Ansible
  • CI/CD
  • Amazon ECS
  • Amazon DynamoDB
  • AWS Lambda
  • AWS CloudFormation
  • Cloud Migration
  • Cloud Security
  • Cloud Computing
  • Cloud Architecture
  • Infrastructure as Code
  • Amazon SageMaker
  • Amazon Bedrock
Duc B.

Ho Chi Minh City, Vietnam

$39/hr
5.0
51 jobs

Hi! I’m an AWS-certified DevOps Engineer and Solutions Architect helping SaaS companies build, secure, modernize, and scale production systems on AWS. I have 7+ years of backend engineering experience and 5+ years of AWS cloud engineering experience. CERTIFICATIONS * AWS Certified Solutions Architect – Associate * AWS Certified DevOps Engineer – Professional * AWS Certified Solutions Architect – Professional My main advantage is that I understand both AWS infrastructure and backend applications. You do not need to hire separate cloud, DevOps, security, and backend engineers to solve one production problem. WHAT I CAN HELP YOU WITH 1. AWS PLATFORM MODERNIZATION AND GOVERNANCE * AWS Organizations, Control Tower, Landing Zone, SCPs, and IAM Identity Center * Multi-account architecture with separate development, staging, and production environments * ECS, EKS, Lambda, and serverless architecture * Centralized logging, account governance, and platform standards 2. INFRASTRUCTURE AS CODE AND CI/CD * Terraform, CloudFormation, and AWS CDK * Reusable modules and infrastructure migration * Terraform import, state management, and drift remediation * CI/CD implementation and optimization * GitHub Actions, CodePipeline, CodeBuild, and CodeDeploy 3. AWS SECURITY, NETWORKING, AND COMPLIANCE * IAM least-privilege access and security reviews * VPC design, subnets, routing, NAT Gateway, and VPC endpoints * Security groups, network ACLs, segmentation, and private connectivity * Security Hub, GuardDuty, Inspector, AWS Config, CloudTrail, and KMS * Secrets management, encryption, backup, and recovery * Technical remediation for SOC 2, ISO 27001, Vanta, Drata, and Sprinto I provide practical implementation, not only an audit report. 4. AWS FINOPS AND COST OPTIMIZATION * EC2, ECS, EKS, Lambda, and RDS right-sizing * Savings Plans and Reserved Instance planning * NAT Gateway, storage, data transfer, and CloudWatch cost optimization * Cost allocation tags, budgets, and anomaly detection My process is simple: Analyze → Implement → Measure → Monitor 5. FRACTIONAL AWS ENGINEERING, MIGRATION, AND RELIABILITY I can support SaaS teams for 10–20 hours per week with: * AWS architecture and production change reviews * Monitoring, incident investigation, and reliability improvements * Cloud and database migrations * High availability, backup, RTO, RPO, and disaster recovery * Backend and database troubleshooting 6. AWS AI AND MACHINE LEARNING INFRASTRUCTURE * Amazon Bedrock and foundation model integration * Amazon SageMaker AI infrastructure and model deployment * Amazon Textract, Rekognition, Transcribe, Polly, and Comprehend * Secure IAM, private networking, and model access controls * AI workload monitoring, governance, and cost optimization WHY WORK WITH ME I can work across the complete production system: * AWS architecture, networking, security, and Infrastructure as Code * Go, Java, Spring Boot, and APIs * PostgreSQL, Redis, and Elasticsearch * Containers, CI/CD, monitoring, and production troubleshooting You work directly with a senior engineer who can assess the problem, recommend the right solution, implement it, and support it in production.

  • DevOps
  • Amazon Web Services
  • Terraform
  • Amazon ECS
  • Kubernetes
  • Linux
  • Java
  • Golang
  • AWS CloudFormation
  • Amazon EC2
  • AWS Lambda
  • Amazon RDS
Yana Y.

Lviv, Ukraine

$45/hr
4.9
26 jobs

Cloud DevOps Engineer | AWS · Kubernetes · Terraform. I migrate legacy systems to cloud-native infrastructure: faster releases, lower costs, zero downtime. Backed by a 330+ engineer team with 20+ years of full-cycle development experience, I specialize in cloud migrations, CI/CD automation, and infrastructure as code – for startups scaling fast and enterprises modernizing legacy platforms. From monolith-to-microservices transformations to HIPAA-compliant cloud architecture, I deliver infrastructure that teams can actually rely on. 💡 Case Studies 🚛 MyCarrier (Logistics SaaS) – Led a full cloud transformation for the #1-rated TMS platform on G2. Migrated a monolithic codebase to microservices on Azure, built a CI/CD pipeline from scratch, and moved all user data to the cloud with zero disruption to end users. Result: 99.9% system availability · delivery time cut from hours to minutes · $36.8M raised in funding. 🏥 Flexwise Health (HealthTech) – Migrated a U.S. healthcare workforce platform from bare-metal to Amazon EKS. Built GitOps workflows with ArgoCD, implemented IaC with Terraform, full observability with Prometheus & Grafana. Result: 80% improvement in fault tolerance · 2x faster release cycles · 35% reduction in infrastructure costs · HIPAA-compliant · $6M funding secured. 📡 MyPlace Connect (Marketing SaaS) – Migrated a hospitality SaaS to Kubernetes, built CI/CD with GitOps patterns, implemented centralized Prometheus + Grafana monitoring. Result: 99.8%+ uptime · 50% cut in infrastructure scaling costs · 85% faster incident response · 30% customer growth in the first 6 months. ☁️ Cloud & Infrastructure AWS (EKS, EC2, RDS, S3, Lambda, CloudFront, Route53, IAM, VPC) Azure (App Service, Functions, Storage Account, Azure SQL) GCP · DigitalOcean Terraform · CloudFormation · Pulumi Docker · Kubernetes · Helm 🔁 CI/CD & GitOps GitHub Actions · Jenkins · GitLab CI · CircleCI · Bitbucket Pipelines ArgoCD · Flux · Blue/Green & Canary deployments Zero-downtime migrations · Automated rollback pipelines 📊 Monitoring & Observability Prometheus · Grafana · Datadog · ELK Stack CloudWatch · PagerDuty · SLA dashboards & alerting 🤖 AI Automation & DevOps Workflows n8n · Zapier · AI-powered infrastructure automation LLM-integrated monitoring & anomaly detection pipelines AI Agents for incident classification and automated response 🔐 Security & Compliance HIPAA-compliant infrastructure · GDPR-ready environments HashiCorp Vault · AWS Secrets Manager Zero-trust architecture · EASM (External Attack Surface Management) Why teams choose us: ✅ 330+ engineers – a full-cycle team behind every DevOps engagement ✅ 20+ years delivering production-grade infrastructure across HealthTech, Logistics, Marketing SaaS, and FinTech ✅ HIPAA & GDPR-compliant infrastructure – we know what regulated environments require before you ask ✅ Every migration is planned with zero downtime as a non-negotiable requirement ✅ Transparent process: audit → migration plan → phased execution → monitoring handover Send me a message – describe your infrastructure challenge and I'll respond within a few hours with an honest assessment and a clear action plan. [Updated: April 2026]

  • DevOps
  • Amazon Web Services
  • Kubernetes
  • Terraform
  • Docker
  • CI/CD
  • Infrastructure as Code
  • Cloud Architecture
  • Microsoft Azure
  • Google Cloud Platform
  • DigitalOcean
  • GitHub
  • Prometheus
  • Grafana
  • ML Automation
  • AI Compliance
  • HIPAA
  • GDPR
  • Cloud Migration
  • SaaS

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What does an AWS DevOps engineer do?

An AWS DevOps engineer builds automated systems that move code from a developer’s laptop to live servers on Amazon Web Services without manual intervention. This role bridges the gap between writing software and running it in production by treating infrastructure as version-controlled code. You configure continuous integration and delivery pipelines that compile applications, run automated tests, and deploy validated updates to cloud environments. Your work removes human error from release processes and creates repeatable standards for how teams ship software.

  • Construct CI/CD pipelines using tools like AWS CodePipeline and AWS CodeBuild to trigger build and test actions whenever developers save changes to source code. You define stages that compile code, execute unit tests, and produce deployable artifacts before passing them to deployment phases. This automation guarantees that every update meets quality gates before it reaches users.
  • Write infrastructure-as-code templates with AWS CloudFormation to provision and manage cloud resources such as servers, databases, and networking components. You store these templates in version control systems to track changes and enable teams to recreate identical environments for testing or disaster recovery. This approach eliminates manual server setup and ensures configuration consistency across development and production stages.
  • Orchestrate application deployments to AWS compute platforms using AWS CodeDeploy to install new software revisions with minimal downtime. You configure deployment rules that control how updates roll out to instances and manage rollback procedures if errors occur during installation. This process allows teams to release features frequently while maintaining system stability and performance.
  • Monitor application health and infrastructure metrics through Amazon CloudWatch to detect performance issues or security anomalies in real time. You set up alarms that notify teams of unusual activity and analyze logs to troubleshoot failures in deployed services. This visibility helps you maintain reliable operations and quickly resolve incidents that impact users.
  • Document pipeline architectures and infrastructure designs to help other engineers understand how automated systems function and how to modify them safely. You create clear records of deployment configurations and version-controlled stack updates to support long-term maintainability. This documentation ensures that knowledge remains within the team even as personnel change.

How to hire an AWS DevOps engineer on Upwork

Step 1: Post a job

Define your infrastructure automation needs clearly to attract qualified candidates. Use the Job Post Generator powered by Uma™, Upwork's Mindful AI to draft a precise description in seconds. Describe your requirements in a few sentences, and Uma creates a tailored post for this role. You can write a new post, update a saved draft, or reuse an existing one.

  • Specify required experience with AWS CodePipeline and AWS CodeBuild to automate build and test stages.
  • List proficiency in AWS CloudFormation for managing infrastructure as code and versioned stack updates.
  • Detail expectations for configuring Amazon CloudWatch alarms to monitor application metrics and logs.

Step 2: Evaluate candidates

Review portfolios for evidence of automated deployment workflows and operational monitoring setups. Uma runs instant video interviews and builds shortlists with side-by-side comparisons to speed up your review process. Look for concrete examples of pipeline definitions and infrastructure templates.

  • Check for version-controlled infrastructure-as-code templates that track environment changes systematically.
  • Verify experience creating CI/CD pipeline definitions with distinct stages for building, testing, and deploying.
  • Look for operational dashboards or alerts built from Amazon CloudWatch logs and metrics data.

Step 3: Interview your top choices

Discuss specific approaches to continuous delivery and infrastructure maintenance during interviews. Schedule and conduct these conversations within Upwork Messages, which generates an immediate transcript and summary after each session. Focus on their problem-solving methods for deployment failures.

  • Ask how they configure deployment rules in AWS CodeDeploy to minimize downtime during updates.
  • Request examples of build specifications used to compile code and produce deployable artifacts.
  • Discuss strategies for auditing application logs to detect and resolve production issues quickly.

Step 4: Agree on scope and begin work

Set clear milestones for pipeline construction and infrastructure automation tasks. Use Upwork Messages and the contract workroom for all communication and project management needs. Upwork verifies identities, offers hourly payment protection, tracks hours, and holds project funds for security.

  • Define deliverables such as tested CI/CD pipelines and documented infrastructure-as-code templates.
  • Establish milestones for deploying application revisions through managed workflows with minimal manual intervention.
  • Agree on reporting standards for operational monitoring evidence and build output artifacts.

Upwork is not affiliated with and does not sponsor or endorse any of the tools or services discussed in this article. These tools and services are provided only as potential options, and each reader and company should take the time needed to adequately analyze and determine the tools or services that would best fit their specific needs and situation.

The rates and information provided in this article are based on current data and industry sources available at the time of publication. Freelance rates can vary depending on factors such as experience, location, project scope, and market conditions. Readers are encouraged to conduct their own research to confirm current rates and trends, as this information may change over time.

How much does hiring an AWS DevOps engineer cost?

$500-$1,500 per project is a typical range for focused AWS DevOps engineer work. Final pricing depends on scope, technical complexity, required integrations, source-material quality, revision needs, and the freelancer's experience level.

CI/CD pipeline setup

$500-$1,200/project

Entry-level to mid-level
  • Configured build and deploy stages in CodePipeline
  • CodeBuild config to compile code and run tests
  • Generated outputs from automated test runs

Infrastructure as code templates

$1,200-$2,500/project

Mid-level
  • Version-controlled infrastructure definitions
  • Parameterized stack updates for target environments
  • Record of template modifications and dependencies

Automated deployment configuration

$2,500-$4,500/project

Mid-level to senior-level
  • CodeDeploy configs to install application revisions
  • Packaged build outputs ready for distribution
  • Evidence of successful deployment execution

Monitoring and alerting setup

$4,500-$7,000/project

Senior-level
  • Visual metrics for application performance tracking
  • Threshold-based alerts for operational issues
  • Filters to detect errors in application logs

End-to-end DevOps automation

$7,000-$12,000/project

Expert-level
  • Full CI/CD chain from commit to production deploy
  • Automated environment provisioning and updates
  • Documentation for pipeline maintenance and troubleshooting

Frequently asked questions

Is hiring an AWS DevOps engineer worth it?

For most businesses, yes: hiring an AWS DevOps engineer is worthwhile. This specialist builds automated CI/CD pipelines that reduce manual deployment errors and accelerates release cycles. They also author infrastructure-as-code templates to maintain consistent cloud environments without manual configuration drift.

How do I evaluate AWS DevOps engineer candidates?

Evaluate candidates by reviewing their version-controlled infrastructure-as-code templates and CI/CD pipeline definitions. Look for specific examples where they configured AWS CodePipeline stages to compile code, run tests, and deploy artifacts with minimal human intervention.

What tools does an AWS DevOps engineer use?

An AWS DevOps engineer uses AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy to automate software delivery workflows. They also rely on AWS CloudFormation for infrastructure management and Amazon CloudWatch for monitoring application metrics and logs.

What deliverables should I expect from an AWS DevOps engineer?

You should receive version-controlled infrastructure-as-code templates and defined CI/CD pipeline stages for build, test, and deploy actions. Expect operational dashboards and alarms configured in Amazon CloudWatch to track application performance and detect issues.