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Kubernetes networking is a critical aspect of managing containerized applications in a distributed environment. It ensures that containers within a Kubernetes cluster can communicate with each other, with external users, and with other services smoothly.
Let's explore the key concepts and components of Kubernetes networking:
- Pods share the same network namespace and can communicate via localhost.
- Kubernetes assigns each Pod a unique IP address for inter-node communication.
- Services provide stable endpoints for accessing Pods.
- ClusterIP, NodePort, and LoadBalancer are common Service types for internal and external access.
- Ingress manages external access to Services based on HTTP/HTTPS rules.
- Ingress controllers handle traffic routing to Services within the cluster.
- This defines rules for Pod-to-Pod communication and access to external resources.
- It enables fine-grained control over network traffic within the cluster.
- A standard for defining plugins that handle networking in container runtimes.
- Used by Kubernetes to manage network interfaces and IP addresses.
- Kube-Proxy manages network rules for routing traffic to Services.
- CoreDNS resolves DNS queries for Kubernetes Services and Pods.
Understanding Kubernetes networking is essential for deploying and managing containerized applications effectively within a Kubernetes cluster
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1. Stripe runs payments across multiple regions with active-active architecture.
How would you ensure transaction consistency and prevent drift during partial regional failovers?
2. Your team reports slow API response times, but CPU, memory, and request volume look stable. What non-obvious infra metrics do you check before suspecting the app layer?
3. You’re asked to migrate a Terraform backend from S3 to GCS without breaking concurrent CI pipelines. How do you plan for state locking, parallel applies, and drift protection during migration?
4. A new container image passed CI but failed readiness probes in production.
No logs, no crashloops - just hangs. How would you debug this, step by step?
5. Describe your zero-downtime strategy for rolling out config changes to Nginx ingress across 500+ services, when 20% of traffic is long-lived HTTP connections.
1. Payments API latency spikes by 600ms only in one region.
No new deploys. DNS propagation, load balancers, and instances are all healthy. Where do you start your RCA?
2. You rolled out a new sidecar container for caching, and suddenly, Redis connection resets appear intermittently. What’s your hypothesis, and how do you prove or disprove it?
3. One of your CI runners keeps deleting the /tmp directory during builds, breaking workflows. Walk through your isolation, tracing, and mitigation steps.
4. During an SRE review, your system passes SLO targets but still experiences user complaints. What hidden reliability gaps could explain this discrepancy?
1. How would you build a postmortem process that improves velocity without creating fear?
2. You’re asked to roll out service-level chaos testing across payments infra.
How do you choose test boundaries without risking actual transactions?
3. What does “reliability” mean when the cost of one incident equals $5M in transactions?
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As we light up our homes with diyas and lanterns, let’s also light up our minds with new ideas, innovations, and deployments that actually work on the first try!
Keep scaling, keep learning, and keep automating
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
- Introduced a Favorites feature that lets users easily save and manage their preferred documents.
- Users can now view and organize their saved favorites in one place.
- Recently added favorites are highlighted for quick access.
- Improved overall user experience with smoother navigation and a more polished interface.
💡 This is your shortcut to top-quality DevOps & Cloud learning — no more hunting across the internet.
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1. Started with a DNS issue that stopped AWS services from talking to each other.
2. This caused DynamoDB to fail, which many AWS services depend on.
3. EC2 instances & Lambda functions began failing as the problem spread.
4. AWS resolved the DNS issue, but some services are still recovering.
If you are a DevOps or Cloud Engineer, this is a great use case to understand.
A small DNS glitch can bring half the internet down.
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
Yesterday, AWS US-EAST-1 - one of the most critical regions globally - faced a disruption that impacted thousands of applications.
The issue began with DynamoDB, which started showing high error rates. What many don’t realize is that DynamoDB isn’t just a database service for customers - it’s used internally by AWS itself to store metadata, state, and configuration for dozens of AWS services.
When DNS resolution to DynamoDB failed, dependent services couldn’t locate its API endpoints. That triggered a cascading failure where over 36 AWS services were affected at once.
Think of it like losing the “directory” that tells every service where DynamoDB lives - suddenly nothing knows how to talk to it.
This created a retry storm ~>more DNS failures ~> more retries ~> feedback loop
They didn’t wait for a single fix — they ran multiple recovery strategies in parallel:
• Stabilized DNS resolution for DynamoDB
• Rerouted internal DNS paths
• Brought up alternative resolver paths + caching
• Gradually restored service dependencies
This incident is a strong reminder that in cloud-scale systems, a single service dependency can ripple into a multi-service disruption in minutes.
In DevOps/SRE:⚠️ “No system fails alone — dependencies fail together.”
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Forwarded from The DevOps Classroom
Are you looking to get hands-on with Terraform and Infrastructure as Code (IaC)? We created a 14-day learning plan covering everything from the basics to advanced concepts.
Each day, we shared a deep dive into a new Terraform topic, packed with practical examples, best practices, and troubleshooting tips.
Now, We compiling all 14 articles into one place to help you on your Terraform journey!
1. Introduction to Terraform - https://lnkd.in/guZkiFBP
2. Basics of Terraform - https://lnkd.in/gppbq8ed
3. Variables and Outputs - https://lnkd.in/gJXb2u3D
4. Terraform State Management - https://lnkd.in/gDepmUdD
5. Terraform Module - https://lnkd.in/gSZMZ-7F
6. Provisioners and Meta-Arguments - https://lnkd.in/g5zFxTb3
7. Mini Project - https://lnkd.in/gtET_p5v
8. Terraform Cloud and Workspaces - https://lnkd.in/gdBdB_vP
9. Terraform with CI/CD - https://lnkd.in/giZgf8QF
10. Handling Secrets and Security in Terraform - https://lnkd.in/gywgK-h3
11. Debugging and Troubleshooting Terraform - https://lnkd.in/gWX-3QTw
12. Terraform Best Practices - https://lnkd.in/g7iDVnfP
13. Terraform With Kubernetes - https://lnkd.in/gEziumJK
14. Terraform Enterprise, Sentinel, Custom Providers - https://lnkd.in/g_FNYS9c
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Forwarded from The DevOps Classroom
Reason: Memory leaks, unoptimized code, or infinite loops.
Reason: Old logs, temp data, or backups filling /var/log.
Reason: Failed readiness/liveness probes or bad configuration.
Reason: Container exceeds memory limit.
Reason: Environment inconsistency or missing dependencies.
Reason: Multiple users modifying infra or manual AWS console changes.
Reason: No autoscaling or CPU credit exhaustion.
Reason: Wrong credentials, security group, or parameter group issues.
Reason: Unoptimized queries or cold starts (Lambda).
Reason: Unnecessary layers or base image bloat.
Reason: Wrong IAM role or log driver misconfiguration.
Reason: Cold starts or external service latency.
Reason: No lifecycle policy or backup scripts flooding data.
Reason: TTL propagation or wrong health check configuration.
Reason: Inefficient builds, large dependencies, or lack of caching.
Reason: Network issue, kubelet crash, or resource exhaustion.
Reason: Wrong ECR permissions or missing imagePullSecrets.
Reason: Resource dependencies or failed deletes.
Reason: Wrong health check path or app not responding on target port.
Reason: App crash or resource limits exceeded.
Reason: Incorrect threshold or noisy rules.
Reason: Approval gates or permission issues.
Reason: Missed renewal automation.
Reason: Wrong metric namespace or missing data points.
Reason: Idle EC2/RDS, orphaned EBS, or unused load balancers.
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Forwarded from The DevOps Classroom
Cool. Let’s find out.
Because the moment you drop “Kubernetes” in a DevOps interview…
You’ve just invited a deep dive from hell.
Not “what’s a Pod?”
Not “what’s the difference between a ReplicaSet and a Deployment?”
I’m talking about the kind of questions I ask as a Principal DevOps Engineer - to see if you’ve actually run clusters in production, not just deployed NGINX on kind once.
Here are 15 real-world Kubernetes questions that separate K8s admins/operators from K8s experts wannabes.
1 - Pod stuck in CrashLoopBackOff, no logs, no errors.
→ How do you debug beyond kubectl logs and describe?
2 - A StatefulSet pod won’t reattach its PVC after a node crash.
→ How do you recover without recreating storage?
3 - Pods are Pending, Cluster Autoscaler won’t scale up.
→ Walk me through your top 3 debugging steps.
4 - NetworkPolicy blocks cross-namespace traffic.
→ How do you design least-privilege rules and test them safely?
5 - Service must connect to an external DB via VPN inside the cluster.
→ How do you architect it for HA + security?
6 - Running a multi-tenant EKS cluster.
→ How do you isolate workloads with RBAC, quotas, and network segmentation?
7 - Kubelet keeps restarting on one node.
→ Where do you look first – systemd, container runtime, or cgroups?
8 - Critical pod got evicted due to node pressure.
→ Explain QoS classes and eviction policies.
9 - A rolling update caused downtime.
→ What went wrong in your readiness/startup probe or deployment config?
10 - Ingress Controller fails under load.
→ How do you debug and scale routing efficiently?
11 - Istio sidecar consumes more CPU than your app.
→ How do you profile and optimise mesh performance?
12 - etcd is slowing down control plane ops.
→ Root causes + how do you tune it safely?
13 - You must enforce images from a trusted internal registry only.
→ Gatekeeper, Kyverno, or custom Admission Webhook – what’s your move?
14 - Pods stuck in ContainerCreating forever.
→ CNI attach delay? OverlayFS corruption? Walk me through your root-cause process.
15 - Random DNS failures in Pods.
→ How do you debug CoreDNS, kube-proxy, and conntrack interactions?
If you can answer these confidently…
You don’t just use Kubernetes - you operate, secure, and scale it.
Let’s raise the bar for DevOps engineers.
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
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1. You are running a containerized application that crashes intermittently without logging anything useful. How do you debug this behavior?
2. Your CI/CD pipeline pushes a new Docker image that fails only in production, not in staging. How would you isolate and resolve the discrepancy?
3. Your Docker image builds are inconsistent across developers’ machines. How would you ensure repeatable builds?
4. How would you securely inject secrets into a container without hardcoding them in Dockerfile or exposing them in environment variables?
5. A container using a volume is not syncing changes back to the host machine. How do you diagnose and resolve this?
6. You need to migrate your local Docker-based app to Kubernetes. What Docker-specific configurations might cause issues during the migration?
7. Your container uses a large base image and takes a long time to download in remote environments. What strategies can you apply to improve this?
8. You notice a container has exited with an OOMKilled (Out Of Memory) status. How do you investigate and prevent this?
9. How would you monitor file system usage and inode exhaustion in a running container?
10. Your team needs to run GPU-based containers on a shared host. How do you design a secure and performant setup?
11. You want to roll back to a previous container version but don't have the previous Dockerfile. How do you retrieve and use the old image?
12. You need to isolate a set of containers with custom firewall rules. How do you implement this using Docker’s networking capabilities?
13. A container exposes multiple ports, but some are not accessible externally. How do you verify and expose the correct ports?
14. How do you configure Docker for a multi-architecture build (e.g., building for x86 and ARM simultaneously)?
15. Your Dockerfile uses ADD to fetch remote URLs, but the builds fail due to SSL errors in CI. How do you debug and solve this?
16. You notice layers in your Docker image are not being cached during builds. What could be causing this?
17. You are required to enforce immutability for Docker containers in production. How would you approach this?
18. How would you implement a security scanning workflow integrated with your CI/CD process for Docker containers?
19. What would you do if Docker container logs are rotated too frequently and important logs are being lost?
20. You suspect your container image has been tampered with. How do you validate its authenticity?
21. How do you enforce policy controls such as image whitelisting in a Docker deployment?
22. A base image you use has been deprecated. How do you manage and migrate all dependent services with minimal downtime?
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1. How would you use AWS Control Tower for secure multi-account setup?
2. How do you manage permission boundaries in AWS SSO?
3. How do you enable MFA in AWS Cognito?
4. How do you secure/manage identities in Cognito?
5. How do you implement RBAC in AWS?
6. How do you enforce MFA for IAM users?
7. How do you design IAM policies with least privilege?
8. How would you configure Route 53 for global HA?
9. How do you implement weighted routing across regions?
10. What’s the process to map a custom domain to an S3 static site?
11. How do you use AWS WAF to block bot attacks?
12. How do you configure AWS Shield for DDoS protection?
13. How to create custom WAF rules for specific threats?
14. How to securely store files in S3?
15. How to restrict public access but allow uploads?
16. How to enable automatic backup & versioning?
17. How to configure SES for transactional emails?
18. How to improve deliverability & avoid spam?
19. How to set up SPF, DKIM & DMARC?
20. How do you configure EC2 Auto Scaling for traffic spikes?
21. How to secure EC2 instances from unauthorized access?
22. What are EC2 cost optimization techniques?
23. How do you migrate SQL Server with minimal downtime?
24. How to implement automated RDS backups?
25. How to configure RDS for high availability?
26. How would you structure Terraform for AWS infra?
27. What’s your preferred on-prem to AWS migration strategy?
28. How do you use CloudWatch alarms for CPU usage?
29. How to analyze app performance with CloudWatch + X-Ray?
30. How to audit API activity with CloudTrail?
31. Which ELB type supports both HTTP & TCP traffic?
32. How to set up ALB with Auto Scaling for traffic spikes?
33. How to protect ALB from DDoS & authenticate users?
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1) Kubernetes Architecture: https://lnkd.in/gmRDrusm
2) POD Lifecycle: https://lnkd.in/g9cbpma4
3) etcd Setup: https://lnkd.in/gFzjeCXu
4) etcd Locks: https://lnkd.in/gYbtKsK2
5) crashloopbackoff: https://lnkd.in/gyKyBRt2
6) OOMKilled: https://lnkd.in/gznwimNr
7) ImagePullBackOff: https://lnkd.in/gzCTSWRG
8) CreateContainerConfigError: https://lnkd.in/g6Z5TdBt
9) CreateContainerError: https://lnkd.in/gG_2nHb7
10) RunContainerError: https://lnkd.in/ggQcqi5t
11) Node Disk Pressure: https://lnkd.in/gu9eFiRw
12) Node Not Ready: https://lnkd.in/gksPqZYF
13) Pod Disruption Budget: https://lnkd.in/gNZNxewk
14) RBAC: https://lnkd.in/g2Pr_aA5
15) DNS Optimization: https://lnkd.in/gmNkjZeV
16) Kubernetes Controller: https://lnkd.in/gZ6pkzMt
17) pod.yaml Breakdown: https://lnkd.in/g7yhk_tS
18) Kubernetes Upgrades: https://lnkd.in/g3nwTgwA
19) KEDA vs Karpenter: https://lnkd.in/gED3Vypc
20) Operator vs Helm: https://lnkd.in/gSeg56ME
21) Kubernetes Air Gap: https://lnkd.in/gxxqWdEE
22) QoS Classes: https://lnkd.in/gr_QU8BN
23) Kubernetes CI/CD: https://lnkd.in/gpk_Et74
24) Deployment Strategies: https://lnkd.in/gdU_8A38
25) Security Contexts: https://lnkd.in/gNQizuFy
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- What is AWS?
- What is EC2?
- What is S3?
- What is IAM?
- What is VPC?
- What is a Security Group?
- What are Availability Zones (AZs)?
- What is the difference between S3 and EBS?
- What is Auto Scaling?
- Explain the difference between Instance Store and EBS.
- What is CloudFront?
- What is the difference between an Elastic Load Balancer (ELB) and a Classic Load Balancer (CLB)?
- What is the use of AWS Lambda?
- What is the difference between a public and private subnet in VPC?
- Explain the difference between RDS and DynamoDB.
- What is an S3 bucket policy?
- How does AWS CloudFormation work, and how does it help in automation?
- What are the benefits of using AWS Organizations?
- How does Amazon Route 53 work?
- What is AWS Kinesis and how does it differ from AWS Lambda?
- Explain the concept of AWS Elastic Beanstalk.
- What are the different types of EBS volumes and their use cases?
- What is AWS Direct Connect, and how does it work?
- What is the Amazon Elastic File System (EFS) and its use cases?
- What are AWS Trusted Advisor and its key functions?
- Explain the AWS Well Architected Framework.
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As DevOps Engineers, understanding how services communicate across environments is crucial for debugging, securing, and optimizing systems.
Here’s a quick reference list of common network ports that every DevOps and Cloud Engineer should be familiar with — from HTTP and SSH to Kubernetes, Docker, Redis, and Prometheus.
💡 Solid networking knowledge = stronger DevOps foundation.
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1. What is Kubernetes, and why do we use it?
2. Difference between Kubernetes and Docker Swarm?
3. Explain the architecture of Kubernetes (Master vs Worker nodes).
4. What is a Pod in Kubernetes?
5. What is the role of kube-apiserver, kube-scheduler, and etcd?
6. How does Kubernetes provide high availability?
7. What problem does Kubernetes solve compared to running apps directly on VMs?
1. What is a Pod in Kubernetes?
2. Can a Pod run multiple containers? If yes, why would you need that?
3. What’s the difference between a Pod and a container?
4. How do you check the logs of a Pod?
5. What happens if a Pod dies?
6. Difference between kubectl apply and kubectl create when creating Pods?
7. What is the difference between a static Pod and a normal Pod?
1. What is a ReplicaSet in Kubernetes?
2. How is a ReplicaSet different from a ReplicationController?
3. If a Pod managed by a ReplicaSet is deleted, what happens?
4. Can we scale a ReplicaSet manually? If yes, how?
5. How does a ReplicaSet ensure high availability?
6. Explain the relationship between ReplicaSet and Deployment.
7. Which object controls Pods directly: Deployment or ReplicaSet?
1. What is a Service in Kubernetes?
2. Explain the different types of Services (ClusterIP, NodePort, LoadBalancer, ExternalName).
3. Which is the default Service type in Kubernetes?
4. How does a Service communicate with Pods?
5. What is kube-proxy, and what is its role in Services?
6. Difference between ClusterIP and NodePort?
7. How do Services help achieve loose coupling between microservices?
1. What is a Deployment in Kubernetes?
2. Difference between Deployment and ReplicaSet?
3. How do Deployments achieve zero-downtime updates?
4. What is a rolling update strategy in Deployments?
5. How do you rollback a Deployment?
6. What are readiness and liveness probes, and why are they important?
7. How does Deployment ensure fault tolerance?
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We’re diving deep into real-world AWS architecture! In this project, you’ll build a complete WordPress hosting environment step by step — learning how different AWS services integrate to create a secure, scalable web application.
- A custom VPC with both public and private subnets
- An EC2 instance hosting a WordPress application
- A MySQL RDS database in a private subnet
- An S3 bucket for storing static website assets
- AWS Networking (VPC, Subnets, Security Groups)
- EC2 Instance Setup & WordPress Installation
- RDS Database Integration
- S3 for Static Content Hosting
- An AWS account with permissions to create IAM roles, VPCs, EC2, and RDS
- Basic knowledge of AWS services
By the end of this project, you’ll have a fully functional WordPress site hosted on AWS — designed using industry best practices for networking, scalability, and security.
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Forwarded from The DevOps Classroom
Each one focused on a key concept, tool, or best practice.
1. Kubernetes Architecture - https://lnkd.in/gSB2GyXp
2. High Availability - https://lnkd.in/gzYd97Ee
3. Best Practices (Design & Setup) - https://lnkd.in/gPUx8uNP
4. Minikube - https://lnkd.in/gAgcw2q6
5. Kubeadm - https://lnkd.in/gkCQAajB
6. Kubeconfig File - https://lnkd.in/gEnUdrj7
7. Vagrant VMs - https://lnkd.in/gtKNepyc
8. eksctl - https://lnkd.in/ghUDuDQx
9. kubectl - https://lnkd.in/gzbd7263
10. Kubernetes Cluster - https://lnkd.in/giaAps_S
11. Etcd - https://lnkd.in/g9icGcME
12. Kubernetes Pod - https://lnkd.in/gtGGyJR7
13. Init Containers - https://lnkd.in/gPaDpyUP
14. Daemonset - https://lnkd.in/gAM7pxrK
15. Pod Lifecycle - https://lnkd.in/gtwBJr3w
16. Kubernetes Ingress - https://lnkd.in/gN2RD3ei
17. Nginx Ingress - https://lnkd.in/ghvGtGS3
18. K8s YAML Manifests - https://lnkd.in/gJQ-pPJE
19. Alert Manager - https://lnkd.in/gHM6DnFE
20. EFK Stack - https://lnkd.in/gSC6bj37
21. K8s Logging - https://lnkd.in/g8VG6nti
22. Kustomize - https://lnkd.in/gziADVvS
23. Sealed Secrets - https://lnkd.in/gceD9mpU
24. Docker Image In K8s Pod - https://lnkd.in/g4qUgj4E
25. Jenkins Build Agents - https://lnkd.in/gf9R-qin
26. Kustomize Secret - https://lnkd.in/gW_eugbf
27. Deploy Argo CD - https://lnkd.in/gHUMhS7Q
28. Install Helm for K8s - https://lnkd.in/gn2DHbRz
29. MongoDB - https://lnkd.in/ga8DmNKb
30. Hashicorp Vault - https://lnkd.in/gB7EZYJT
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Brush up before your next DevOps/Cloud/Developer interview!
1. How does GitHub Actions work and how do you create a custom workflow?
2. What is the difference between git pull and git fetch in a GitHub repo context?
3. How can you resolve a merge conflict in GitHub?
4. Explain the concept of GitHub forks vs. branches.
5. How do you enforce protected branches and what is their purpose?
6. How can you trigger a GitHub Action only when code is pushed to a specific folder?
7. What is the .github directory used for in repositories?
8. How do you use GitHub CLI and what are its real-world benefits?
9. What is the difference between GitHub Projects and GitHub Issues?
10. How do you manage secrets in GitHub Actions securely?
11. What are GitHub Environments and how do they differ from branches?
12. How would you rollback a release deployed via GitHub Actions?
13. How do GitHub Codespaces help in faster development onboarding?
14. What’s the difference between squash merge, rebase, and regular merge on GitHub?
15. How do you set up branch rules for CI/CD pipelines using GitHub Actions?
1. How do you handle secrets rotation dynamically in GitHub Actions without exposing credentials?
2. Explain how matrix builds work in GitHub Actions and when to use them.
3. How do you implement monorepo CI/CD with GitHub Actions while minimizing unnecessary job runs?
4. Describe a secure GitOps workflow using GitHub and ArgoCD.
5. How would you set up end-to-end testing across microservices using GitHub Actions workflows?
6. How do you audit GitHub enterprise repositories for compliance and security best practices?
7. What are the limitations of GitHub Actions compared to other CI/CD tools like GitLab or Jenkins?
8. How can you customize self-hosted GitHub Action runners and manage their scale?
9. Describe a real-world use case for composite actions and how you version them.
10. How do you prevent secret leakage during pull request builds in public GitHub repositories?
11. How can you manage cross-repo dependencies and coordinated releases using GitHub Workflows?
12. What’s the best way to handle rollback strategies in GitHub-based CD pipelines?
13. How do you integrate OPA/Gatekeeper or policy-as-code tools in GitHub Actions?
14. How can GitHub’s GraphQL API help in automating repo health checks and metrics?
15. How do you perform static code analysis + security scans (like SAST/Dependency Review) automatically on every PR?
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