DevOps Metrics are crucial! 😀

Each stage has metrics that are vital for the success of the DevOps.

Plan 📝: This stage focuses on metrics to ensure we have a solid plan in place, guiding us with user story prioritization, estimation, team velocity, resource allocation, and more!

Code 🖥: Metrics related to this help us deliver code in a standardized way, improving quality, effectiveness, speed, reliability, and more!

Build 🛠️: Monitor the build process to enhance the efficiency of running builds more frequently and reliably.

Test 🧪: Testing metrics help us improve the quality of the product ⭐️

Release & Deploy 🚀: Helps us refine the product deployment and release process to minimize surprises.

Operate ⚙️: Gather customer feedback and manage incidents based on metrics 📉

Monitor 📈: Leverage metrics to enhance the overall system and drive customer success ⭐️


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

⚡️ Simple and easy image to learn Kubernetes architecture ⚡️


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

📌 https://harshhaa.hashnode.dev/series/aws-for-beginners

🔗 More DevOps Blogs : HERE

🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩

Follow 🍩 Like 👍 Share 👍 Comment Your thoughts 💬

⭐️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

𝐓𝐚𝐤𝐞 𝐛𝐚𝐜𝐤 𝐜𝐨𝐧𝐭𝐫𝐨𝐥 𝐰𝐢𝐭𝐡 🌐 𝐆𝐢𝐭𝐎𝐩𝐬: 𝐘𝐨𝐮𝐫 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞, 𝐬𝐢𝐦𝐩𝐥𝐢𝐟𝐢𝐞𝐝 🚀

What is GitOps? It's a revolutionary approach that treats your infrastructure as code, using Git as the single source of truth. ✨

🔣Why GitOps?

⏩ Simplified management: Declarative configuration in Git means no more ad-hoc changes or manual interventions.
⏩ Reduced errors: Automated deployments eliminate human error and ensure consistency.
⏩ Increased visibility: Track changes and rollbacks easily with Git's history and branching.
⏩ Improved collaboration: Everyone works from the same source of truth, fostering transparency and ownership


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

𝐇𝐨𝐰 𝐭𝐨 𝐛𝐞𝐜𝐨𝐦𝐞 𝐚 𝐜𝐥𝐨𝐮𝐝 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫: 𝐀 𝐫𝐨𝐚𝐝𝐦𝐚𝐩❗

🔹 Skills Required: Master cloud fundamentals, networking, programming, infrastructure as code (IaC), containerization, monitoring, automation, database management, and cloud security. Strong communication and collaboration skills are essential for teamwork.

📚 Education & Training: While a formal degree isn't always necessary, consider a Computer Science background and pursue cloud certifications. Explore online courses to keep your skills sharp.

⭐️ Career Prospects: Cloud Engineer, Cloud Architect, DevOps Engineer, Cloud Consultant - the opportunities are limitless in this dynamic field!

⚙️ Tools & Technologies: Get comfortable with major cloud service providers (AWS, Azure, GCP), IaC tools (Terraform, CloudFormation), containerization (Docker, Kubernetes), CI/CD tools (Jenkins, GitLab CI/CD), and monitoring solutions.

⬆️ Cloud Engineering is your ticket to a future-proof career. Stay curious, adapt to new tech, and be part of the cloud revolution!

Here's your step-by-step guide:

1️⃣ Master the Basics of Cloud Computing
2️⃣ Dive into Virtualization and Containerization
3️⃣ Choose Your Preferred Cloud Platform
4️⃣ Build a Strong Foundation in Networking
5️⃣ Explore Security and Identity Management
6️⃣ Learn Infrastructure as Code (IaC)
7️⃣ Embrace DevOps Practices
8️⃣ Understand Containers and Orchestration
9️⃣ Explore Serverless Computing
😀 Focus on Cloud Security and Compliance
📜 Earn Valuable Certifications


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

#devopshiring 💼


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

💥 𝗔 𝘁𝗲𝘀𝘁 𝗰𝗿𝗶𝗰𝗸𝗲𝘁 𝗺𝗮𝘁𝗰𝗵 𝗶𝘀 𝘃𝗶𝗲𝘄𝗲𝗱 𝗯𝘆 𝗼𝘃𝗲𝗿 𝟯𝟬 𝗰𝗿𝗼𝗿𝗲 𝗽𝗲𝗼𝗽𝗹𝗲 𝘄𝗶𝘁𝗵𝗶𝗻 𝟱 𝗱𝗮𝘆𝘀 𝗼𝗻 𝗷𝗶𝗼 𝗰𝗶𝗻𝗲𝗺𝗮 𝗶𝘀 𝗵𝘂𝗴𝗲, let's see how it handles such traffic.

JioCinema uses two different cloud providers that include Amazon Web Services (AWS) and Google Cloud Platform (GCP).

🔣𝙇𝙤𝙖𝙙 𝙗𝙖𝙡𝙖𝙣𝙘𝙚𝙧:
JioCinema uses load balancers to distribute the user traffic among multiple backend servers that ensures efficiency and no server is overloaded.

🔣𝘼𝙪𝙩𝙤𝙨𝙘𝙖𝙡𝙞𝙣𝙜 𝙜𝙧𝙤𝙪𝙥𝙨:
These are implemented in such a way that if the current servers are being overloaded then new servers can be created automatically using autoscaling groups.

🔣𝘾𝙤𝙣𝙩𝙚𝙣𝙩 𝘿𝙚𝙡𝙞𝙫𝙚𝙧𝙮 𝙉𝙚𝙩𝙬𝙤𝙧𝙠 (𝘾𝘿𝙉𝙨):
JioCinema uses CDNs to distribute content to its users. CDNs are distributed systems of servers that cache and deliver content to users from the closest possible edge locations. This helps to reduce latency and improves user experience.

🔣𝙈𝙞𝙘𝙧𝙤𝙨𝙚𝙧𝙫𝙞𝙘𝙚 𝙖𝙧𝙘𝙝𝙞𝙩𝙚𝙘𝙩𝙪𝙧𝙚:
This approach breaks down the application into smaller and manageable components and becomes easier for scalability and maintenance.
Any specific component can be scaled up or down without affecting other components.

𝙋𝙎: In this post I have only discussed how JioCinema handles such loads efficiently irrespective of how it is coded and what protocols they are using.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

#devopshiring 💼


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

🔒 Oauth 2.0 Explained With Simple Terms.

➡️ OAuth 2.0 is a powerful and secure framework that allows different applications to securely interact with each other on behalf of users without sharing sensitive credentials.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

🔣 List of Kubernetes commands: 🔣

➡️ ReplicaSets Management
kubectl create -f <replicaset-definition.yaml>: Create a ReplicaSet.
kubectl get replicasets: List all ReplicaSets.
kubectl describe replicaset <replicaset-name>: Describe a specific ReplicaSet.
kubectl scale replicaset <replicaset-name> –replicas=<replica-count>: Scale a ReplicaSet.

➡️ Service Management
kubectl create service <service-type> <service-name> –tcp=<port>: Create a service.
kubectl get services: List all services.
kubectl expose deployment <deployment-name> –port=<port>: Expose a deployment as a service.
kubectl describe service <service-name>: Describe a specific service.
kubectl delete service <service-name>: Delete a service.
kubectl get endpoints <service-name>: Get information about a service.

➡️ Config Maps and Secrets
kubectl create configmap <config-map-name> –from-file=<path-to-file>: Create a config map from a file.
kubectl create secret <secret-type> <secret-name> –from-literal=<key>=<value>: Create a secret.
kubectl get configmaps: List all config maps.
kubectl get secrets: List all secrets.
kubectl describe configmap <config-map-name>: Describe a specific config map.
kubectl describe secret <secret-name>: Describe a specific secret.
kubectl delete secret <secret_name>: Delete a specific secret.
kubectl delete configmap <config-map-name>: Delete a specific config map.

➡️ Networking
kubectl port-forward <pod-name> <local-port>:<pod-port>: Port forward to a pod.
kubectl expose deployment <deployment-name> –type=NodePort –port=<port>: Expose a deployment as a NodePort service.
kubectl create ingress <ingress-name> –rule=<host>/<path>=<service-name> –<service-port>: Create an Ingress resource.
kubectl describe ingress <ingress-name>: Get information about an Ingress.
kubectl get ingress <ingress-name> -o jsonpath='{.spec.rules[0].host}’: Retrieves the most value from the first rule of the specified Ingress resource.

➡️ Storage
kubectl create -f <persistent-volume-definition.yaml>: Create a PersistentVolume.
kubectl get pv: List all PersistentVolumes.
kubectl describe pv <pv-name>: Describe a specific PersistentVolume.
kubectl create -f <persistent-volume-claim-definition.yaml>: Create a PersistentVolumeClaim.
kubectl get pvc: List all PersistentVolumeClaims.
kubectl describe pvc <pvc-name>: Describe a specific PersistentVolumeClaim.

➡️ StatefulSets
kubectl create -f <statefulset-definition.yaml>: Create a StatefulSet.
kubectl get statefulsets: List all StatefulSets.
kubectl describe statefulset <statefulset-name>: Describe a specific StatefulSet.
kubectl scale statefulset <statefulset-name> –replicas=<replica-count>: Scale a StatefulSet.

➡️ Monitoring and Troubleshooting
kubectl get events: Check cluster events.
kubectl get component statuses: Get cluster component statuses.
kubectl top nodes: Get resource utilization of nodes.
kubectl top pods: Get resource utilization of pods.
kubectl debug <pod-name> -it –image=<debugging-image>: Enable container shell access debugging.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

☄️ Here is the process for how Projects/companies build a successful project outcomes.....


❤️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

🚀 𝗡𝗼𝗱𝗲𝗣𝗼𝗿𝘁 𝘃𝘀 𝗟𝗼𝗮𝗱𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿 - 𝗠𝗮𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗖𝗵𝗼𝗶𝗰𝗲 🚀

Navigating Kubernetes services? Understanding when to use NodePort 🆚 LoadBalancer is crucial!

🔖 NodePort is your go-to for development, testing, or smaller-scale environments. It's simple and universal, exposing services on each node's IP at a specific port. It is ideal when external load balancers are overkill.
🔖 LoadBalancer steps in for production-grade needs, especially in cloud environments. It leverages cloud-provider capabilities for robust load balancing, offering advanced features like SSL termination and consistent external IPs.

💡 Choose wisely:
- NodePort for simplicity and cost-effectiveness.
- LoadBalancer for scalability and advanced features.

🌐 Whether you're a DevOps pro or a Kubernetes newcomer, making the right choice between NodePort and LoadBalancer can streamline your deployments and optimize resource usage.


✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

♾ Continuous Delivery vs. Continuous Deployment

➡️ Continuous Delivery: It ensures that your code changes are always deployable, providing a reliable and automated process for building, testing, and preparing for release. However, the deployment to production is a manual step, allowing for human intervention and control over when changes go live.

➡️ Continuous Deployment: It takes automation to the next level by automatically deploying every successful change to production. This means that once code passes all tests and checks, it's automatically pushed into production without the need for manual intervention.


⭐ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

🐬 6 Tips to 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐘𝐨𝐮𝐫 𝐃𝐨𝐜𝐤𝐞𝐫𝐟𝐢𝐥𝐞

➡️𝐔𝐬𝐞 𝐌𝐮𝐥𝐭𝐢𝐬𝐭𝐚𝐠𝐞 𝐁𝐮𝐢𝐥𝐝𝐬:
- Utilize multiple stages to reduce the size of the final image.
- Keep the final image lean by copying only necessary artifacts from previous stages.

➡️𝐌𝐢𝐧𝐢𝐦𝐢𝐳𝐞 𝐋𝐚𝐲𝐞𝐫 𝐒𝐢𝐳𝐞:
- Combine multiple RUN commands using && to minimize the number of layers.
- Clean up unnecessary files and dependencies within the same RUN command.

➡️𝐋𝐞𝐯𝐞𝐫𝐚𝐠𝐞 .𝐝𝐨𝐜𝐤𝐞𝐫𝐢𝐠𝐧𝐨𝐫𝐞:
- Exclude unnecessary files and directories from the build context using .dockerignore.
- This reduces the size of the build context and speeds up the build process.

➡️𝐏𝐫𝐢𝐨𝐫𝐢𝐭𝐢𝐳𝐞 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 𝐈𝐦𝐚𝐠𝐞 𝐋𝐚𝐲𝐞𝐫𝐬:
- Place frequently changing dependencies lower in the Dockerfile to leverage Docker's layer caching mechanism.
- Avoid unnecessary package installations that could bloat the image size.

➡️𝐔𝐬𝐞 𝐒𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐓𝐚𝐠𝐬 𝐟𝐨𝐫 𝐁𝐚𝐬𝐞 𝐈𝐦𝐚𝐠𝐞𝐬:
- Specify precise version tags for base images to ensure consistency and avoid unexpected updates.
- Pinning versions mitigates the risk of breaking changes introduced by newer versions.

➡️𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐈𝐦𝐚𝐠𝐞 𝐒𝐢𝐳𝐞:
- Use smaller base images like Alpine Linux where possible to reduce the overall size of the image.
- Remove unnecessary dependencies and files from the final image to make it as lightweight as possible.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

♾ 𝐃𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐭𝐨𝐨 𝐬𝐥𝐨𝐰? 𝐂𝐈/𝐂𝐃 𝐢𝐬 𝐲𝐨𝐮𝐫 𝐥𝐚𝐮𝐧𝐜𝐡𝐩𝐚𝐝 𝐭𝐨 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞! 🚀

Are endless manual deployments and sluggish release cycles holding your team back? You're not alone! But fear not, there's a solution that can turn your development process into a well-oiled machine: CI/CD (Continuous Integration/Continuous Delivery).

The benefits are out of this world:
⏩Faster releases: Get features to users sooner, keeping them engaged and competitive.

⏩Improved quality: Catch and fix bugs early, reducing downtime and frustration.

⏩Happier developers: Less manual work means more time for innovation and creativity.


🌐𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

✅Terraform commands used on a daily basis: ✨

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.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

🐧 𝗟𝗶𝗻𝘂𝘅 𝗕𝗼𝗼𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗶𝗻 𝘁𝗵𝗲 𝘀𝗶𝗺𝗽𝗹𝗲𝘀𝘁 𝘄𝗮𝘆 🚀

Here are the 8 steps to understand the Linux boot process in the easiest manner.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

📣 Kubernetes Services and Ingress Demystified.

Understanding how to expose Kubernetes services is key for building robust applications.
In this post,We'll walk through the main service types and ingress in Kubernetes.

Services in Kubernetes allow pods to communicate with each other and provide a stable endpoint that doesn't change as pods are created or deleted. There are several types of services:

➡️ClusterIP: Exposes the service on a cluster-internal IP only. This makes the service only reachable from within the cluster.

➡️NodePort: Exposes the service on each Node's IP at a static port. You can contact the NodePort service from outside the cluster by requesting <NodeIP>:<NodePort>.

➡️LoadBalancer: Creates an external load balancer and assigns a fixed, external IP to the service. The load balancer routes to NodePorts of cluster nodes.

➡️ExternalName: Maps the service to the contents of the externalName field (e.g. foo.bar.example.com), by returning a CNAME record.

Ingress is another Kubernetes resource that allows you to route external traffic to services based on HTTP rules. Ingress exposes HTTP and HTTPS routes from outside the cluster to services within the cluster. Traffic routing is controlled by rules defined on the Ingress resource.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

📌 Building Strong and adaptable Microservices with Java and Spring

While building robust and scalable microservices can seem complex, understanding essential concepts empowers you for success. This post explores crucial elements for designing reliable distributed systems using Java and Spring frameworks.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

Let's face it: the only thing more relentless than the pace of innovation in DevOps is our collective ability to find excuses not to keep up with it! 🏃💨

Embrace the chaos, love the learning, and remember: if DevOps feels like it's pushing you out of your comfort zone, it's probably because your comfort zone could use a bit of cloud-based scalability and automation. 😜


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

𝗧𝗿𝗮𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 often suffer from environment inconsistencies, portability issues, and complex deployments.

➡️Virtual machines (VMs) offer some isolation, but they're resource-hungry and slow.
Enter 𝗗𝗼𝗰𝗸𝗲𝗿, the containerization platform that has revolutionized software development.

➡️𝗪𝗵𝗮𝘁 𝗶𝘀 𝗗𝗼𝗰𝗸𝗲𝗿? 🐬
Docker 𝗽𝗮𝗰𝗸𝗮𝗴𝗲𝘀 𝘆𝗼𝘂𝗿 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗶𝘁𝘀 𝗱𝗲𝗽𝗲𝗻𝗱𝗲𝗻𝗰𝗶𝗲𝘀 𝗶𝗻𝘁𝗼 𝗮 𝘀𝘁𝗮𝗻𝗱𝗮𝗿𝗱𝗶𝘇𝗲𝗱 𝘂𝗻𝗶𝘁 called a 𝗰𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿.
This container is 𝗶𝘀𝗼𝗹𝗮𝘁𝗲𝗱 from the underlying system, ensuring your application runs 𝗰𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝘁𝗹𝘆 across different environments.

➡️𝗧𝗵𝗶𝗻𝗸 𝗼𝗳 𝗶𝘁 𝗹𝗶𝗸𝗲 𝘁𝗵𝗶𝘀:
Imagine a shipping container.
You pack all your application's clothes (code and dependencies) inside.
This container can then be shipped anywhere (deployed anywhere) and unpacked (run) with the same contents and behavior.

➡️𝗪𝗵𝘆 𝗗𝗼𝗰𝗸𝗲𝗿 𝗼𝘃𝗲𝗿 𝗩𝗠𝘀?
Compared to VMs, Docker containers:
Are lightweight: They share the host OS, requiring fewer resources and booting faster.
Are portable: Run them anywhere with the same consistency, regardless of the underlying system.
Are immutable: Changes are isolated within the container, simplifying deployments and rollbacks.

➡️𝗗𝗼𝗰𝗸𝗲𝗿'𝘀 𝗯𝗲𝗻𝗲𝗳𝗶𝘁𝘀:
• Streamlined development and deployment: Spin up isolated test environments quickly, collaborate seamlessly, and automate deployments.
• Improved resource efficiency: Containers share resources, maximizing server utilization.
• Microservices architecture: Package and deploy individual services independently.
• Cloud-native compatibility: Works seamlessly across different cloud providers.
• Enhanced security: Isolated containers minimize attack surfaces.

➡️𝗪𝗵𝗲𝗻 𝘁𝗼 𝘂𝘀𝗲 𝗗𝗼𝗰𝗸𝗲𝗿:
• Microservices architecture
• Continuous integration and continuous delivery (CI/CD) pipelines
• Legacy application modernization
• Multi-cloud deployments

➡️𝗗𝗼𝗰𝗸𝗲𝗿'𝘀 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝗼𝗻:
• Podman: Open-source container engine similar to Docker.
• LXC (Linux Containers): Lightweight containerization alternative.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!