Amazon Web Services (AWS) offers a comprehensive suite of networking services designed to provide businesses with secure, scalable, and highly available network infrastructure. AWS's network architecture components enable seamless connectivity between the internet, remote workers, corporate data centers, and within the AWS ecosystem itself.
At the heart of AWS's networking services is the Amazon VPC, which allows users to provision a logically isolated section of the AWS Cloud. Within this isolated environment, users can launch AWS resources in a virtual network that they define.
An AZ in AWS refers to one or more discrete data centers with redundant power, networking, and connectivity in an AWS Region.
Now let’s go through the network connectivity one by one:
An IGW serves as the doorway between your AWS VPC and the internet, facilitating bidirectional communication.
AWS offers a Client VPN service that enables remote workers to access AWS resources or an on-premises network securely over the internet. It provides a secure and easy-to-manage VPN solution.
A VGW is the VPN concentrator on the Amazon side of the Site-to-Site VPN connection between your network and your VPC.
VPC Peering allows you to connect two VPCs, enabling you to route traffic between them using private IPv4 or IPv6 addresses.
AWS Transit Gateway acts as a network transit hub, enabling you to connect multiple VPCs, VPNs, and AWS accounts together.
A VPC Endpoint (Gateway type) allows you to privately connect your VPC to supported AWS services and VPC endpoint services powered by PrivateLink without requiring an internet gateway, VPN.
An Interface VPC Endpoint (powered by AWS PrivateLink) enables private connections between your VPC and supported AWS services, other VPCs, or AWS Marketplace services, without requiring an IGW, VGW, or NAT device.
AWS PrivateLink provides private connectivity between VPCs and services hosted on AWS or on-premises, ideal for accessing SaaS applications securely.
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The Ultimate DevOps Roadmap for Beginners: Skills, Tools, and Resources
In today's fast-paced software development landscape, DevOps has become essential. It fosters...
Want to break into the world of DevOps? This comprehensive guide covers all the essential skills, tools, and resources you need to get started and thrive as a DevOps engineer!
- Core technical skills
- Must-have DevOps tools
- Cloud platforms
- CI/CD, IaC, Containers, and more!
🎯 Whether you're a beginner or looking to upskill, this roadmap has everything you need.
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
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Tealhq
2025 Fresher DevOps Engineer Resume Example (+Free Template)
After months of research, we developed a custom resume guide for Fresher DevOps Engineers to help you nail your next interview. Build off of our free resume template here.
Crafting a DevOps Engineer resume as a fresher is essential for landing your first job in this field. Let's create a strong resume that highlights your skills and potential:
➡️ Fresher DevOps Engineer Resume Example
Lily Chang
Email: lily@chang.com
Phone: (987) 654-3210
LinkedIn: linkedin.com/in/lily-chang
Twitter: @lily.chang
➡️ Summary:
Highly motivated and detail-oriented Fresher DevOps Engineer with a passion for automation and improving system performance. Skilled in implementing CI/CD pipelines, automating system administration tasks, and collaborating with cross-functional teams to identify and resolve issues. Proven track record in reducing deployment time by 50%, improving system reliability, and increasing team productivity by 25%.
➡️ Work Experience:
Fresher DevOps Engineer
➡️ AgileTech Solutions (01/2023 – 04/2023)
Developed and implemented a CI/CD pipeline, reducing deployment time by 50% and increasing team productivity by 25%.
Collaborated with development teams to identify and resolve system issues, resulting in a 30% reduction in downtime and improved system performance.
Created and maintained system documentation, ensuring compliance with industry standards and improving overall system reliability.
➡️ Systems Administrator
TechWave Innovations (09/2022 – 12/2022)
Implemented automated backup and recovery procedures, reducing data loss by 80% and improving system availability by 25%.
Researched and evaluated new technologies, resulting in the adoption of a new monitoring tool that improved system performance by 15%.
Collaborated with security teams to implement and maintain system security policies, ensuring compliance with industry regulations and improving overall system security.
➡️ References:
1. Fresher DevOps Engineer Resume Example - TealHQ
2. 9 DevOps Resume Samples Built for 2024 - BeamJobs
3. DevOps Engineer Resume Examples and Template for 2024
4. How to Write a DevOps Engineer Resume (Step-by-Step With Examples)
5. 15 DevOps Resume Examples for 2024 | Resume Worded
➡️ Reference links: [1] [2] [3] [4] [5]
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Lily Chang
Email: lily@chang.com
Phone: (987) 654-3210
LinkedIn: linkedin.com/in/lily-chang
Twitter: @lily.chang
Highly motivated and detail-oriented Fresher DevOps Engineer with a passion for automation and improving system performance. Skilled in implementing CI/CD pipelines, automating system administration tasks, and collaborating with cross-functional teams to identify and resolve issues. Proven track record in reducing deployment time by 50%, improving system reliability, and increasing team productivity by 25%.
Fresher DevOps Engineer
Developed and implemented a CI/CD pipeline, reducing deployment time by 50% and increasing team productivity by 25%.
Collaborated with development teams to identify and resolve system issues, resulting in a 30% reduction in downtime and improved system performance.
Created and maintained system documentation, ensuring compliance with industry standards and improving overall system reliability.
TechWave Innovations (09/2022 – 12/2022)
Implemented automated backup and recovery procedures, reducing data loss by 80% and improving system availability by 25%.
Researched and evaluated new technologies, resulting in the adoption of a new monitoring tool that improved system performance by 15%.
Collaborated with security teams to implement and maintain system security policies, ensuring compliance with industry regulations and improving overall system security.
Remember to tailor your resume to the specific job you're applying for, emphasizing relevant skills and achievements. Good luck with your job search! 😊
1. Fresher DevOps Engineer Resume Example - TealHQ
2. 9 DevOps Resume Samples Built for 2024 - BeamJobs
3. DevOps Engineer Resume Examples and Template for 2024
4. How to Write a DevOps Engineer Resume (Step-by-Step With Examples)
5. 15 DevOps Resume Examples for 2024 | Resume Worded
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
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Get the most out of Google Cloud Platform (GCP) with these essential
gcloud commands! Here's a handy reference to help you streamline your DevOps workflows. 1. Initialize GCP SDK:
gcloud init
2. Authenticate to GCP:
gcloud auth login
3. Set Default Project:
gcloud config set project [PROJECT_ID]
1. List VM Instances:
gcloud compute instances list
2. Create a New VM:
gcloud compute instances create [INSTANCE_NAME] --zone=[ZONE]
3. Start/Stop/Delete VM:
gcloud compute instances start [INSTANCE_NAME] --zone=[ZONE]
gcloud compute instances stop [INSTANCE_NAME] --zone=[ZONE]
gcloud compute instances delete [INSTANCE_NAME] --zone=[ZONE]
1. Get Credentials for Cluster:
gcloud container clusters get-credentials [CLUSTER_NAME] --zone=[ZONE]
2. List GKE Clusters:
gcloud container clusters list
3. Create/Delete GKE Cluster:
gcloud container clusters create [CLUSTER_NAME] --zone=[ZONE]
gcloud container clusters delete [CLUSTER_NAME] --zone=[ZONE]
1. List Buckets:
gcloud storage ls
2. Create/Delete Bucket:
gcloud storage buckets create gs://[BUCKET_NAME]
gcloud storage buckets delete gs://[BUCKET_NAME]
3. Upload/Download Files:
gcloud storage cp [LOCAL_PATH] gs://[BUCKET_NAME]/[OBJECT_NAME]
gcloud storage cp gs://[BUCKET_NAME]/[OBJECT_NAME] [LOCAL_PATH]
1. List Datasets:
gcloud bigquery datasets list
2. Create/Delete Dataset:
gcloud bigquery datasets create [DATASET_NAME]
gcloud bigquery datasets delete [DATASET_NAME]
3. Run Query:
gcloud bigquery query "SELECT * FROM `[PROJECT_ID].[DATASET].[TABLE]` LIMIT 10"
1. List Deployments:
gcloud deployment-manager deployments list
2. Create/Delete Deployment:
gcloud deployment-manager deployments create [DEPLOYMENT_NAME] --config [CONFIG_FILE]
gcloud deployment-manager deployments delete [DEPLOYMENT_NAME]
1. List Service Accounts:
gcloud iam service-accounts list
2. Create/Delete Service Account:
gcloud iam service-accounts create [ACCOUNT_NAME]
gcloud iam service-accounts delete [ACCOUNT_NAME]@[PROJECT_ID].iam.gserviceaccount.com
1. List Instances:
gcloud sql instances list
2. Create/Delete SQL Instance:
gcloud sql instances create [INSTANCE_NAME] --tier=db-n1-standard-1 --region=[REGION]
gcloud sql instances delete [INSTANCE_NAME]
Keep these commands handy to master Google Cloud like a pro!
Stay tuned for more DevOps tips and tricks.
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1.
terraform init: Initializes a working directory containing Terraform configuration files.2.
terraform plan: Generates an execution plan, outlining actions Terraform will take.3.
terraform apply: Applies the changes described in the Terraform configuration.4.
terraform destroy: Destroys all resources described in the Terraform configuration.5.
terraform validate: Checks the syntax and validity of Terraform configuration files.6.
terraform refresh: Updates the state file against real resources in the provider.7.
terraform output: Displays the output values from the Terraform state.8.
terraform state list: Lists resources within the Terraform state.9.
terraform show: Displays a human-readable output of the current state or a specific resource's state.10.
terraform import: Imports existing infrastructure into Terraform state.11.
terraform fmt: Rewrites Terraform configuration files to a canonical format.12.
terraform graph: Generates a visual representation of the Terraform dependency graph.13.
terraform providers: Prints a tree of the providers used in the configuration.14.
terraform workspace list: Lists available workspaces.15.
terraform workspace select: Switches to another existing workspace.16.
terraform workspace new: Creates a new workspace.17.
terraform workspace delete: Deletes an existing workspace.18.
terraform output: Retrieves output values from a module.19.
terraform state mv: Moves an item in the state.20.
terraform state pull: Pulls the state from a remote backend.21.
terraform state push: Pushes the state to a remote backend.22.
terraform state rm: Removes items from the state.23.
terraform taint: Manually marks a resource for recreation.24.
terraform untaint: Removes the 'tainted' state from a resource.25.
terraform login: Saves credentials for Terraform Cloud.26.
terraform logout: Removes credentials for Terraform Cloud.27.
terraform force-unlock: Releases a locked state.28.
terraform import: Imports existing infrastructure into your Terraform state.29.
terraform plan -out: Saves the generated plan to a file.30.
terraform apply -auto-approve: Automatically applies changes without requiring approval.31.
terraform apply -target=resource: Applies changes only to a specific resource.32.
terraform destroy -target=resource: Destroys a specific resource.33.
terraform apply -var="key=value": Sets a variable's value directly in the command line.34.
terraform apply -var-file=filename.tfvars: Specifies a file containing variable definitions.35.
terraform apply -var-file=filename.auto.tfvars: Automatically loads variables from a file.Please open Telegram to view this post
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Route 53 Routing Policies 🚀
Route 53 is a powerful DNS service by AWS, offering various routing policies to manage traffic.
🔢 . Simple Routing
- Most straightforward approach, good for single resources.
- Routes traffic to a single endpoint, like a web server or an elastic load balancer.
- Easy to set up and manage.
🔢 . Weighted Routing
- Distributes traffic across multiple resources.
- Controls traffic distribution based on predefined weights.
- Great for load balancing and testing new deployments.
🔢 . Failover Routing
- Routes traffic to a primary resource, with a secondary resource on standby.
- Automatically routes the traffic to the secondary resource if the primary resource goes into an unhealthy state or fails.
- Ensures high availability.
✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Route 53 is a powerful DNS service by AWS, offering various routing policies to manage traffic.
- Most straightforward approach, good for single resources.
- Routes traffic to a single endpoint, like a web server or an elastic load balancer.
- Easy to set up and manage.
- Distributes traffic across multiple resources.
- Controls traffic distribution based on predefined weights.
- Great for load balancing and testing new deployments.
- Routes traffic to a primary resource, with a secondary resource on standby.
- Automatically routes the traffic to the secondary resource if the primary resource goes into an unhealthy state or fails.
- Ensures high availability.
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
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# Install Azure CLI
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash
# Login to Azure
az login
# Set default subscription
az account set --subscription <subscription-id>
# List resource groups
az group list
# Create resource group
az group create --name <resource-group-name> --location <location>
# Delete resource group
az group delete --name <resource-group-name> --yes --no-wait
# List VMs
az vm list
# Create VM
az vm create --resource-group <resource-group-name> --name <vm-name> --image <image> --admin-username <username> --admin-password <password>
# Start VM
az vm start --resource-group <resource-group-name> --name <vm-name>
# Stop VM
az vm stop --resource-group <resource-group-name> --name <vm-name>
# List storage accounts
az storage account list
# Create storage account
az storage account create --name <account-name> --resource-group <resource-group-name> --location <location> --sku <sku>
# Delete storage account
az storage account delete --name <account-name> --resource-group <resource-group-name>
# List AKS clusters
az aks list
# Create AKS cluster
az aks create --resource-group <resource-group-name> --name <cluster-name> --node-count <node-count> --enable-addons monitoring --generate-ssh-keys
# Get AKS credentials
az aks get-credentials --resource-group <resource-group-name> --name <cluster-name>
# List App Services
az webapp list
# Create App Service
az webapp create --resource-group <resource-group-name> --plan <app-service-plan> --name <app-name> --runtime <runtime>
# Delete App Service
az webapp delete --resource-group <resource-group-name> --name <app-name>
# List Azure DevOps organizations
az devops organization list
# Create Azure DevOps project
az devops project create --name <project-name> --organization <organization-url>
# List Azure DevOps pipelines
az pipelines list --organization <organization-url> --project <project-name>
# Run Azure DevOps pipeline
az pipelines run --name <pipeline-name> --organization <organization-url> --project <project-name>
# List monitor activity logs
az monitor activity-log list
# Create alert rule
az monitor metrics alert create --name <alert-name> --resource-group <resource-group-name> --scopes <resource-id> --condition "<condition>" --action <action-group-id>
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Here’s a handy list of essential Kubernetes commands to streamline your workflow and boost your productivity. Save this post for quick reference!
# Check cluster info
kubectl cluster-info
# Get all nodes
kubectl get nodes
# Describe a node
kubectl describe node <node-name>
# Check cluster health
kubectl get componentstatuses
# List all namespaces
kubectl get namespaces
# Create a namespace
kubectl create namespace <namespace-name>
# Delete a namespace
kubectl delete namespace <namespace-name>
# List all pods in the default namespace
kubectl get pods
# List pods in a specific namespace
kubectl get pods -n <namespace>
# Describe a pod
kubectl describe pod <pod-name>
# Delete a pod
kubectl delete pod <pod-name>
# List all deployments
kubectl get deployments
# Create a deployment
kubectl create deployment <deployment-name> --image=<image-name>
# Update a deployment
kubectl set image deployment/<deployment-name> <container-name>=<new-image>
# Scale a deployment
kubectl scale deployment <deployment-name> --replicas=<number>
# Delete a deployment
kubectl delete deployment <deployment-name>
# List all services
kubectl get services
# Create a service
kubectl expose deployment <deployment-name> --type=<type> --port=<port>
# Describe a service
kubectl describe service <service-name>
# Delete a service
kubectl delete service <service-name>
# List all ConfigMaps
kubectl get configmaps
# Create a ConfigMap
kubectl create configmap <configmap-name> --from-literal=<key>=<value>
# List all Secrets
kubectl get secrets
# Create a Secret
kubectl create secret generic <secret-name> --from-literal=<key>=<value>
# List all persistent volumes
kubectl get pv
# List all persistent volume claims
kubectl get pvc
# Create a persistent volume
kubectl apply -f <persistent-volume-definition>.yaml
# Create a persistent volume claim
kubectl apply -f <persistent-volume-claim-definition>.yaml
# View logs of a pod
kubectl logs <pod-name>
# View logs of a specific container in a pod
kubectl logs <pod-name> -c <container-name>
# Stream logs of a pod
kubectl logs -f <pod-name>
# Get events
kubectl get events
# Describe a resource
kubectl describe <resource-type> <resource-name>
# Exec into a pod
kubectl exec -it <pod-name> -- /bin/bash
# List custom resource definitions
kubectl get crd
# Describe a custom resource
kubectl describe crd <custom-resource-name>
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- AWS CloudFormation
- AWS CDK
- AWS CloudWatch
- AWS CloudTrail
- AWS CodePipeline
- AWS CodeBuild
- AWS CodeDeploy
- AWS Systems Manager
- AWS OpsWorks
- AWS IAM
- AWS KMS
- AWS VPC
- AWS Direct Connect
- AWS ECS
- AWS ECR
- AWS EKS
- AWS Lambdas
- AWS API Gateway
- AWS RDS
- AWS DynamoDB
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60 Terms & Services which every DevOps ♾ Engineer should be aware of:
1. Continuous Integration (CI): Automates code integration.
2. Continuous Deployment (CD): Automated code deployment.
3. Version Control System (VCS): Manages code versions.
4. Git: Distributed version control.
5. Jenkins: Automation server for CI/CD.
6. Build Automation: Automates code compilation.
7. Artifact: Build output package.
8. Maven: Build and project management.
9. Gradle: Build automation tool.
10. Containerization: Application packaging and isolation.
11. Docker: Containerization platform.
12. Kubernetes: Container orchestration.
13. Orchestration: Automated coordination of components.
14. Microservices: Architectural design approach.
15. Infrastructure as Code (IaC): Manage infrastructure programmatically.
16. Terraform: IaC provisioning tool.
17. Ansible: IaC automation tool.
18. Chef: IaC automation tool.
19. Puppet: IaC automation tool.
20. Configuration Management: Automates infrastructure configurations.
21. Monitoring: Observing system behavior.
22. Alerting: Notifies on issues.
23. Logging: Recording system events.
24. ELK Stack: Log management tools.
25. Prometheus: Monitoring and alerting toolkit.
26. Grafana: Visualization platform.
27. Application Performance Monitoring (APM): Monitors app performance.
28. Load Balancing: Distributes traffic evenly.
29. Reverse Proxy: Forwards client requests.
30. NGINX: Web server and reverse proxy.
31. Apache: Web server and reverse proxy.
32. Serverless Architecture: Code execution without servers.
33. AWS Lambda: Serverless compute service.
34. Azure Functions: Serverless compute service.
35. Google Cloud Functions: Serverless compute service.
36. Infrastructure Orchestration: Automates infrastructure deployment.
37. AWS CloudFormation: IaC for AWS.
38. Azure Resource Manager (ARM): IaC for Azure.
39. Google Cloud Deployment Manager: IaC for GCP.
40. Continuous Testing: Automated testing at all stages.
41. Unit Testing: Tests individual components.
42. Integration Testing: Tests component interactions.
43. System Testing: Tests entire system.
44. Performance Testing: Evaluates system speed.
45. Security Testing: Identifies vulnerabilities.
46. DevSecOps: Integrates security in DevOps.
47. Code Review: Inspection for quality.
48. Static Code Analysis: Examines code without execution.
49. Dynamic Code Analysis: Analyzes running code.
50. Dependency Management: Handles code dependencies.
51. Artifact Repository: Stores and manages artifacts.
52. Nexus: Repository manager.
53. JFrog Artifactory: Repository manager.
54. Continuous Monitoring: Real-time system observation.
55. Incident Response: Manages system incidents.
56. Site Reliability Engineering (SRE): Ensures system reliability.
57. Collaboration Tools: Facilitates team communication.
58. Slack: Team messaging platform.
59. Microsoft Teams: Collaboration platform.
60. ChatOps: Collaborative development through chat.
✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
1. Continuous Integration (CI): Automates code integration.
2. Continuous Deployment (CD): Automated code deployment.
3. Version Control System (VCS): Manages code versions.
4. Git: Distributed version control.
5. Jenkins: Automation server for CI/CD.
6. Build Automation: Automates code compilation.
7. Artifact: Build output package.
8. Maven: Build and project management.
9. Gradle: Build automation tool.
10. Containerization: Application packaging and isolation.
11. Docker: Containerization platform.
12. Kubernetes: Container orchestration.
13. Orchestration: Automated coordination of components.
14. Microservices: Architectural design approach.
15. Infrastructure as Code (IaC): Manage infrastructure programmatically.
16. Terraform: IaC provisioning tool.
17. Ansible: IaC automation tool.
18. Chef: IaC automation tool.
19. Puppet: IaC automation tool.
20. Configuration Management: Automates infrastructure configurations.
21. Monitoring: Observing system behavior.
22. Alerting: Notifies on issues.
23. Logging: Recording system events.
24. ELK Stack: Log management tools.
25. Prometheus: Monitoring and alerting toolkit.
26. Grafana: Visualization platform.
27. Application Performance Monitoring (APM): Monitors app performance.
28. Load Balancing: Distributes traffic evenly.
29. Reverse Proxy: Forwards client requests.
30. NGINX: Web server and reverse proxy.
31. Apache: Web server and reverse proxy.
32. Serverless Architecture: Code execution without servers.
33. AWS Lambda: Serverless compute service.
34. Azure Functions: Serverless compute service.
35. Google Cloud Functions: Serverless compute service.
36. Infrastructure Orchestration: Automates infrastructure deployment.
37. AWS CloudFormation: IaC for AWS.
38. Azure Resource Manager (ARM): IaC for Azure.
39. Google Cloud Deployment Manager: IaC for GCP.
40. Continuous Testing: Automated testing at all stages.
41. Unit Testing: Tests individual components.
42. Integration Testing: Tests component interactions.
43. System Testing: Tests entire system.
44. Performance Testing: Evaluates system speed.
45. Security Testing: Identifies vulnerabilities.
46. DevSecOps: Integrates security in DevOps.
47. Code Review: Inspection for quality.
48. Static Code Analysis: Examines code without execution.
49. Dynamic Code Analysis: Analyzes running code.
50. Dependency Management: Handles code dependencies.
51. Artifact Repository: Stores and manages artifacts.
52. Nexus: Repository manager.
53. JFrog Artifactory: Repository manager.
54. Continuous Monitoring: Real-time system observation.
55. Incident Response: Manages system incidents.
56. Site Reliability Engineering (SRE): Ensures system reliability.
57. Collaboration Tools: Facilitates team communication.
58. Slack: Team messaging platform.
59. Microsoft Teams: Collaboration platform.
60. ChatOps: Collaborative development through chat.
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