Hola 👋,

We are thrilled to share that we have started our own website 😁 and you guys don't need to search 🔎 on WhatsApp channels or Telegram group every time what u required. On the website we can also post all things clearly and proper format just u can search the things wat need for u

🖥 Our website : https://prodevopsguy.tech

📱 Our Blogs/Articles :
https://blog.prodevopsguy.xyz


Thanks,
ProDevOpsGuy Team

📣 New to DevOps? 📣

Here are the most widely used tools in the industry along with their official documentation:

➡️ Source Code Management:

1. Git: https://git-scm.com/docs
2. GitHub: https://docs.github.com/en
3. Bitbucket: https://lnkd.in/dA2PcM_w

➡️ Ticketing Tools:

1. Service Now: https://lnkd.in/d69yubJF
2. Jira: https://lnkd.in/dD_WcXFQ
3. Trello: https://trello.com/guide

➡️ Public Clouds:

1. AWS: https://lnkd.in/dMa9XpMa
2. Azure: https://lnkd.in/dBsJtZHy
3. GCP: https://lnkd.in/d3hmN-Jr

➡️ Containerization and Orchestration Tools:

1. Docker: https://docs.docker.com/
2. Kubernetes: https://lnkd.in/dZXfQEqW
3. Mesos: https://lnkd.in/dqzvzJhY

➡️ Deployment Tools:

1. Terraform: https://lnkd.in/dM46h2_D
2. Octopus: https://octopus.com/docs
3. Heroku: https://lnkd.in/dCDuwvcj

➡️ Testing Tools:

1. Selenium: https://lnkd.in/dTnFN8bT
2. Cucumber: https://lnkd.in/dpmD4A9C
3. Postman: https://lnkd.in/d3xERi6c

➡️ Build Tools:

1. Maven: https://lnkd.in/dfgBnrZj
2. Gradle: https://lnkd.in/dv6rQczZ
3. Ant: https://lnkd.in/dQgMsgef

➡️ Pipeline Tools:

1. Jenkins: https://lnkd.in/dPmA6-ff
2. TravisCI: https://lnkd.in/dxxFaK_X
3. Argo CD: https://lnkd.in/dK5eXbYi

➡️ Monitoring Tools:

1. Grafana: https://lnkd.in/dX5anVq9
2. Prometheus: https://lnkd.in/ddxjc9bV


🚀 Follow for more DevOps content, tips and tricks, and Hands-On Project Implementation.


🔵 Follow for more: @prodevopsguy

🔣 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗖𝗼𝗺𝗺𝗼𝗻 𝗘𝗿𝗿𝗼𝗿𝘀 🔣

1️⃣.𝙄𝙢𝙖𝙜𝙚𝘽𝙖𝙘𝙠𝙋𝙪𝙡𝙡𝙊𝙛𝙛 :-
We face this issue when the image is not present in registry or the given image tag is wrong.
Make sure you provide correct registry url, image name and image tag.

We might face authentication failures, when image is being stored in a private registry, make sure to create secret with private registry credentials and add created secret in Kubernetes Deployment File to pull docker image.

2️⃣.𝘾𝙧𝙖𝙨𝙝𝙇𝙤𝙤𝙥𝘽𝙖𝙘𝙠𝙊𝙛𝙛 :-
We face this issue when the process deployed inside container not running then the POD will be moved to CrashLoopBackOff.
POD might be running out of CPU or memory, POD should get enough resources allocated that’s cpu and memory for an application to be up and running, to fix that check in Resources Requests and Resources Limits.

3️⃣.𝙊𝙊𝙈 𝙆𝙞𝙡𝙡𝙚𝙙 - 𝙊𝙪𝙩 𝙊𝙛 𝙈𝙚𝙢𝙤𝙧𝙮 :-
We face this issue when PODs tries to utilise more memory than the limits we have set.
We can resolve it by setting appropriate resource request and resource limit.

4️⃣.𝙋𝙊𝘿 𝙎𝙩𝙖𝙩𝙪𝙨 – 𝙋𝙚𝙣𝙙𝙞𝙣𝙜 :-
When nodes might not be ready and required resources like CPU and Memory may not be available in nodes for the PODs to be up and running.

5️⃣.𝙋𝙊𝘿 𝙎𝙩𝙖𝙩𝙪𝙨 – 𝙒𝙖𝙞𝙩𝙞𝙣𝙜 :-
POD will be scheduled to a node but POD won’t be running in scheduled node.
We can fix this by providing correct image name, image tag and authentication to registry.

6️⃣.𝙋𝙊𝘿 𝙬𝙞𝙡𝙡 𝙗𝙚 𝙪𝙥 𝙖𝙣𝙙 𝙧𝙪𝙣𝙣𝙞𝙣𝙜 𝙖𝙣𝙙 𝙖𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣 𝙞𝙨 𝙣𝙤𝙩 𝙖𝙘𝙘𝙚𝙨𝙨𝙞𝙗𝙡𝙚.
We can fix this by creating appropriate service.
If service is already created and application is still not accessible, make sure application and service are deployed in same namespace.

7️⃣.𝙋𝙊𝘿 𝙎𝙩𝙖𝙩𝙪𝙨 – 𝙀𝙫𝙞𝙘𝙩𝙚𝙙 :-
We can resolve this by setting appropriate resource requests and resource limits for the PODs and having enough resources in worker nodes.


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

8 FREE💲Udemy Docker Courses from Beginner to Professional 🚀

➡️ Beginners

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➡️ https://lnkd.in/eSDNg-Xv

🟡 Docker Tutorial for Beginners practical hands on -Devops
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🩷 Docker Essentials
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🔴 Docker Before Compose - Learn Docker by Example
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🟤 Learn Docker Quickly: A Hands-on approach to learning docker
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🟢 Are You a PRO Series - Docker & Swarm Real Challenges
➡️ https://lnkd.in/em48h_qK

🔵 Docker Swarm Courses
➡️ https://lnkd.in/emr6AaK8

🔴 Building Application Ecosystem with Docker Compose
➡️ https://lnkd.in/eaa43R2f


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

🎙 What’s the difference between AWS NAT Gateway & Internet Gateway?

Both these components facilitate traffic flow for AWS infrastructure. Both are attached to Subnets using Route tables.

Here’s how they differ

🌐 Internet Gateway (IGW)
👉 Allows instances in a public subnet to initiate requests to the public internet. Also allows inbound requests initiated from internet to reach these instances using their public IP address.
👉 Used for public-facing instances that require outbound internet access and also allow inbound traffic from internet (eg- Load balancer servers like NginX, API/Frontend servers, etc)
👉 You’re only charged for data transfer. There’s no charge for the gateway itself.

🌐 Network Address Translation Gateway (NAT GW)
👉 Allows instances in a private subnet to initiate requests to the public internet. But doesn’t allow inbound requests initiated from the internet to reach these instances.
👉 Is more secure because it hides your servers from the outside world.
👉 Used for private instances requiring outbound internet access (eg- Database machines, internal application server, etc).
👉 In addition to data transfer costs, AWS charges you per hour for each NAT GW you provision.

❗️ When in doubt, use NAT Gateway for your subnets. Use IGW only if you’re sure you want your instances to be public-facing.


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

🌐 https://prodevopsguy.xyz/posts/devops/new-to-devops


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

🌐 Confused by DevOps Monitoring & Logging Tools? ....

Ever felt overwhelmed by the sea of DevOps monitoring and logging tools? Don't worry, we've all been there!

Here's a quick guide to help you navigate!

🔍 Prometheus
Monitors system performance & resource utilization.

📊 ELK Stack
Collects, analyzes, and visualizes log data.

📈 Grafana
Creates beautiful dashboards for monitoring data.

🔔 Nagios
Monitors servers, applications, and network health.

👁 Zabbix
Keeps an eye on availability, performance, and configs.

💼 Datadog (Paid)
All-in-one monitoring for infrastructure, apps, and security.

💰 New Relic (Paid)
Optimizes app performance and user experience.

🔍 Dynatrace (Paid)
Provides deep insights into application performance.

🔒 Splunk (Paid)
Analyzes machine data for monitoring, security, and operations.

🖥 LogicMonitor (Paid)
Monitors infrastructure, applications, and cloud environments.


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

#️⃣ 𝐄𝐱𝐜𝐢𝐭𝐞𝐝 𝐚𝐛𝐨𝐮𝐭 𝐃𝐞𝐯𝐎𝐩𝐬?

🔣DevOps has revolutionised the way modern software is built, deployed, and managed. It's a culture, a set of practices, and a mindset that emphasizes collaboration, automation, and continuous feedback.

Whether you're a seasoned professional or just starting out, mastering DevOps principles and tools is essential for driving efficiency, reliability, and innovation in your projects.


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

🚀 Excited to share the power of Prometheus in the world of 𝐃𝐞𝐯𝐎𝐩𝐬! 🌐

👉 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐏𝐫𝐨𝐦𝐞𝐭𝐡𝐞𝐮𝐬?
Prometheus is an open-source monitoring and alerting toolkit designed for reliability and scalability. It's your go-to companion for gaining deep insights into your infrastructure and applications.

Here are some key points highlighting the advantages and applications of Prometheus:

🔢. 𝐑𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 📊:
➡️ Prometheus provides robust real-time monitoring, allowing DevOps teams to gain insights into system performance and quickly identify issues.

🔢. 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 🚀:
➡️ Its scalable architecture makes Prometheus suitable for both small-scale setups and large, complex environments, ensuring adaptability as your infrastructure grows.

🔢. 𝐌𝐮𝐥𝐭𝐢-𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧𝐚𝐥 𝐃𝐚𝐭𝐚 𝐌𝐨𝐝𝐞𝐥 🔄:
➡️ Embrace the flexibility of Prometheus' multi-dimensional data model, which simplifies querying and reporting, providing a comprehensive view of your system.

🔢. 𝐀𝐥𝐞𝐫𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐍𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 🚨:
➡️ Enjoy proactive alerting capabilities that empower teams to detect anomalies and potential issues before they impact users, enabling a more reliable and resilient infrastructure.

🔢. 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 🌐:
➡️ Prometheus seamlessly integrates with service discovery mechanisms, making it an excellent choice for dynamic environments where instances and services may change dynamically.

🔢. 𝐑𝐢𝐜𝐡 𝐐𝐮𝐞𝐫𝐲 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 💬:
➡️ Leverage Prometheus Query Language (PromQL) to perform complex queries and obtain meaningful insights, enabling a deep dive into the performance metrics of your applications.

🔢. 𝐎𝐩𝐞𝐧 𝐒𝐨𝐮𝐫𝐜𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 🤝:
➡️ Engage with a vibrant and supportive open-source community that continually contributes to Prometheus' development, ensuring a cutting-edge and evolving monitoring solution.

🔢. 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐆𝐫𝐚𝐟𝐚𝐧𝐚 📈:
➡️ Combine the power of Prometheus with Grafana for visually appealing and interactive dashboards, providing a user-friendly interface for monitoring and analysis.

🔢. 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 🐳:
➡️ Prometheus natively supports containerized environments, making it an ideal choice for organizations embracing container orchestration platforms like Kubernetes.

🔢🔢. 𝐂𝐥𝐨𝐮𝐝-𝐍𝐚𝐭𝐢𝐯𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 ☁️:
➡️ Seamlessly adapt Prometheus to your cloud-native ecosystem, gaining visibility into distributed architectures and microservices.


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

🖥 https://prodevopsguy.xyz/new-to-devops/


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

👨‍💻 HashiCorp Certified: Terraform Associate – Hands-On Labs

👉 Source -
https://www.udemy.com/course/terraform-hands-on-labs/

👉 Download link -
https://drive.google.com/drive/u/0/mobile/folders/1GhcXYuHd72K0uXscjqVnQ3ltNqJWZV2N?usp=sharing


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

🔔 Securing DevOps: Pre-Release Best Practices

In the DevOps dynamic landscape, ensuring application security before release is crucial. By implementing proactive measures during the pre-release stage, organizations can mitigate risks and foster a culture of secure software development.

The Pre-Release Security Pillars:

1⃣. Code Quality Assurance: Integrating linting and code quality tools into VCS and CI processes to enforce best practices and organizational policies.

2⃣. Static Application Security Testing (SAST): Analyzing source code and binaries to scan for known vulnerabilities, enabling early threat detection and remediation.

3⃣. Secrets Scanning: Ensuring sensitive information like credentials and API keys are not exposed in the codebase, promoting secure handling through dedicated secrets management systems.

4⃣. Software Composition Analysis (SCA): Identifying and scanning third-party libraries and dependencies to mitigate vulnerabilities in underlying open-source components.

5⃣. Container Scanning: Analyzing pre-built container images to identify vulnerabilities in the underlying operating systems and software releases.

Modern DevOps platforms like GitLab Secure, JFrog Xray, Snyk, Palo Alto Prisma Cloud, and CrowdStrike offer comprehensive pre-release security tools, enabling organizations to address vulnerabilities and deliver secure applications proactively.


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

🖥 https://medium.com/@sushantkapare1717/zero-trust-model-in-kubernetes-cluster-778d5b12ec1f


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

13 𝐦𝐨𝐬𝐭 𝐜𝐨𝐦𝐦𝐨𝐧𝐥𝐲 𝐮𝐬𝐞𝐝 𝐜𝐨𝐦𝐦𝐚𝐧𝐝 𝐟𝐨𝐫 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 🎯

Here are 13 of the most commonly used kubectl commands for managing a real production Kubernetes environment, along with explanations and common use cases:

✅ 𝐂𝐨𝐫𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭

#1 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐠𝐞𝐭
→ kubectl get pods (list pods)
→ kubectl get deployments (list deployments)
→ kubectl get services (list services)
→ kubectl get all (list most resources in a namespace)

#2 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐝𝐞𝐬𝐜𝐫𝐢𝐛𝐞
→ kubectl describe pod my-pod
→ kubectl describe node my-node

#3 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐜𝐫𝐞𝐚𝐭𝐞
→ kubectl create -f my-deployment.yaml

#4 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐚𝐩𝐩𝐥𝐲
→ kubectl apply -f my-deployment.yaml (apply a deployment definition)

#5 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐝𝐞𝐥𝐞𝐭𝐞
→ kubectl delete pod my-pod
→ kubectl delete service my-service

✅ Debugging and Troubleshooting

#6 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐥𝐨𝐠𝐬
→ kubectl logs my-pod
→ kubectl logs my-pod -c my-container (specify a container)

#7 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐱𝐞𝐜
→ kubectl exec -it my-pod -- bash (interactive shell)

#8 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐩𝐨𝐫𝐭-𝐟𝐨𝐫𝐰𝐚𝐫𝐝
→ kubectl port-forward my-pod 8080:80

#9 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐭𝐨𝐩
→ kubectl top pod (pod resource usage)
→ kubectl top node (node resource usage)

#10 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐱𝐩𝐥𝐚𝐢𝐧
→ kubectl explain pod
→ kubectl explain pod.spec (more specific)

✅ Managing Workloads

#11 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐫𝐨𝐥𝐥𝐨𝐮𝐭
→ kubectl rollout status deployment/my-deployment
→ kubectl rollout undo deployment/my-deployment

#12 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐬𝐜𝐚𝐥𝐞
→ kubectl scale deployment/my-deployment --replicas=5

#13 𝐤𝐮𝐛𝐞𝐜𝐭𝐥 𝐞𝐝𝐢𝐭
→ kubectl edit deployment my-deployment


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

𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐃𝐞𝐯𝐎𝐩𝐬 𝐓𝐨𝐩𝐢𝐜𝐬 : 𝟐𝟎𝟐𝟒🎯

1. GitOps
2. CI/CD Pipelines
3. Kubernetes
4. Infrastructure as Code (IaC)
5. Cloud-Native Applications
6. Microservices Architecture
7. Security in DevOps
8. Monitoring and Observability
9. DevSecOps
10. Automation

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

🔔 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝗲𝘁𝗰𝗱 𝗶𝗻 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀
etcd is a consistent, highly available distributed 𝐤𝐞𝐲-𝐯𝐚𝐥𝐮𝐞 𝐬𝐭𝐨𝐫𝐞 using the 𝐑𝐚𝐟𝐭 𝐜𝐨𝐧𝐬𝐞𝐧𝐬𝐮𝐬 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦 to manage a highly-available replicated log. It provides a reliable way to store data across a cluster of machines, ensuring that data remains consistent even during network partitioning. The data stored in etcd can be accessed by all nodes in a cluster, which can use the stored information for coordination and configuration sharing.

➡️ 𝗛𝗼𝘄 𝗲𝘁𝗰𝗱 𝗪𝗼𝗿𝗸𝘀
etcd uses the 𝐑𝐚𝐟𝐭 𝐜𝐨𝐧𝐬𝐞𝐧𝐬𝐮𝐬 𝐚𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦 to manage a highly-available replicated log. It groups instances into clusters, each with a 𝐮𝐧𝐢𝐪𝐮𝐞 𝐈𝐃. Each cluster has a leader who handles client requests and follower instances that replicate the leader's log entries. If a leader fails, the followers hold an election to choose a new leader.

The clients send write requests to the leader, which are then appended to its log. The leader subsequently broadcasts these entries to their followers. Once an entry has been safely replicated, the leader applies the entry to its state machine and returns the result of that execution to the client.etcd provides a watch API for applications to monitor changes in keys and directories, providing real-time updates as data changes.

➡️ 𝗨𝘀𝗲 𝗼𝗳 𝗲𝘁𝗰𝗱 𝗶𝗻 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀
Kubernetes uses etcd as its primary datastore to manage the cluster state. All cluster data, including the configuration data and the state of workloads running within the cluster, is stored in etcd. It keeps track of nodes, pods, configs, secrets, accounts, roles, and bindings. etcd ensures that even if individual nodes within a Kubernetes cluster fail, the cluster's state remains consistent and highly available.

𝗦𝗼𝗺𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗼𝗳 𝗲𝘁𝗰𝗱
1️⃣. 𝐓𝐫𝐚𝐧𝐬𝐚𝐜𝐭𝐢𝐨𝐧 𝐒𝐮𝐩𝐩𝐨𝐫𝐭:- etcd supports multi-key transactions with conditional flow. This means several operations can be grouped and executed in a single atomic transaction. If the transaction fails at any step, all the changes are rolled back, ensuring data integrity.

2️⃣. 𝐓𝐢𝐦𝐞 𝐭𝐨 𝐋𝐢𝐯𝐞 (𝐓𝐓𝐋) :- etcd provides TTL for keys, which can be used for automatic key expiration. This is particularly useful for use cases like service discovery and leader election, where outdated entries should be automatically removed after a certain period.

3️⃣. 𝐌𝐢𝐫𝐫𝐨𝐫 𝐚𝐧𝐝 𝐏𝐫𝐨𝐱𝐲 𝐌𝐨𝐝𝐞𝐬 :- etcd provides a lease mechanism that can be used to associate keys with a lease. The keys are automatically deleted when the lease expires. This is particularly useful for managing short-lived keys.

4️⃣. 𝐋𝐞𝐚𝐬𝐞 𝐌𝐞𝐜𝐡𝐚𝐧𝐢𝐬𝐦 :- etcd can operate in mirror mode, which mirrors a prefix in the key-value store to another etcd cluster, and in proxy mode, which forwards the etcd API requests to an active etcd cluster.


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

👉 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞 𝐜𝐨𝐦𝐦𝐨𝐧 𝐆𝐢𝐭 𝐞𝐫𝐫𝐨𝐫𝐬 𝐚𝐧𝐝 𝐭𝐡𝐞𝐢𝐫 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐛𝐫𝐢𝐞𝐟:

🆘 1. 𝐄𝐫𝐫𝐨𝐫: "𝐟𝐚𝐭𝐚𝐥: 𝐧𝐨𝐭 𝐚 𝐠𝐢𝐭 𝐫𝐞𝐩𝐨𝐬𝐢𝐭𝐨𝐫𝐲"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Check that you are in the correct directory with a Git repository, or initialize a new repository using 𝐠𝐢𝐭 𝐢𝐧𝐢𝐭.

🆘 2. 𝐄𝐫𝐫𝐨𝐫: "𝐘𝐨𝐮𝐫 𝐛𝐫𝐚𝐧𝐜𝐡 𝐢𝐬 𝐚𝐡𝐞𝐚𝐝/𝐛𝐞𝐡𝐢𝐧𝐝 '𝐨𝐫𝐢𝐠𝐢𝐧/𝐦𝐚𝐬𝐭𝐞𝐫' 𝐛𝐲 𝐗 𝐜𝐨𝐦𝐦𝐢𝐭𝐬"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Use 𝐠𝐢𝐭 𝐩𝐮𝐥𝐥 to update your local branch with the remote branch or 𝐠𝐢𝐭 𝐩𝐮𝐬𝐡 to push your changes to the remote branch.

🆘 3. 𝐄𝐫𝐫𝐨𝐫: "𝐌𝐞𝐫𝐠𝐞 𝐜𝐨𝐧𝐟𝐥𝐢𝐜𝐭"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Resolve conflicts manually in the conflicting files, then use 𝐠𝐢𝐭 𝐚𝐝𝐝 to stage the changes, and commit them.

🆘 4. 𝐄𝐫𝐫𝐨𝐫: "𝐂𝐨𝐦𝐦𝐢𝐭 𝐧𝐨𝐭 𝐢𝐧 𝐬𝐲𝐧𝐜 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐫𝐞𝐦𝐨𝐭𝐞 𝐛𝐫𝐚𝐧𝐜𝐡"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Use  𝐠𝐢𝐭 𝐩𝐮𝐥𝐥 to get the latest changes from the remote branch and then commit your changes.

🆘 5. 𝐄𝐫𝐫𝐨𝐫: "𝐏𝐞𝐫𝐦𝐢𝐬𝐬𝐢𝐨𝐧 𝐝𝐞𝐧𝐢𝐞𝐝 (𝐩𝐮𝐛𝐥𝐢𝐜𝐤𝐞𝐲)"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Ensure your SSH key is added to your SSH agent and associated with your Git account.

🆘 6. 𝐄𝐫𝐫𝐨𝐫: "𝐟𝐚𝐭𝐚𝐥: 𝐫𝐞𝐦𝐨𝐭𝐞 𝐨𝐫𝐢𝐠𝐢𝐧 𝐚𝐥𝐫𝐞𝐚𝐝𝐲 𝐞𝐱𝐢𝐬𝐭𝐬"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Update the remote's URL using 𝐠𝐢𝐭 𝐫𝐞𝐦𝐨𝐭𝐞 𝐬𝐞𝐭-𝐮𝐫𝐥 𝐨𝐫𝐢𝐠𝐢𝐧 <𝐧𝐞𝐰_𝐮𝐫𝐥>.

🆘 7. 𝐄𝐫𝐫𝐨𝐫: "𝐞𝐫𝐫𝐨𝐫: 𝐩𝐚𝐭𝐡𝐬𝐩𝐞𝐜 '𝐟𝐢𝐥𝐞' 𝐝𝐢𝐝 𝐧𝐨𝐭 𝐦𝐚𝐭𝐜𝐡 𝐚𝐧𝐲 𝐟𝐢𝐥𝐞(𝐬) 𝐤𝐧𝐨𝐰𝐧 𝐭𝐨 𝐠𝐢𝐭"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Check the spelling and case of the file name and ensure it's part of the repository.

🆘 8. 𝐄𝐫𝐫𝐨𝐫: "𝐂𝐨𝐦𝐦𝐢𝐭 𝐦𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐢𝐬𝐬𝐢𝐧𝐠"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Provide a commit message using  𝐠𝐢𝐭 𝐜𝐨𝐦𝐦𝐢𝐭 -𝐦 "Your message here".

🆘 9. 𝐄𝐫𝐫𝐨𝐫: "𝐰𝐚𝐫𝐧𝐢𝐧𝐠: 𝐋𝐅 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐫𝐞𝐩𝐥𝐚𝐜𝐞𝐝 𝐛𝐲 𝐂𝐑𝐋𝐅"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Configure line endings using .𝐠𝐢𝐭𝐚𝐭𝐭𝐫𝐢𝐛𝐮𝐭𝐞𝐬 or global Git configuration.

🆘 10. 𝐄𝐫𝐫𝐨𝐫: "𝐞𝐫𝐫𝐨𝐫: 𝐘𝐨𝐮𝐫 𝐥𝐨𝐜𝐚𝐥 𝐜𝐡𝐚𝐧𝐠𝐞𝐬 𝐭𝐨 𝐭𝐡𝐞 𝐟𝐨𝐥𝐥𝐨𝐰𝐢𝐧𝐠 𝐟𝐢𝐥𝐞𝐬 𝐰𝐨𝐮𝐥𝐝 𝐛𝐞 𝐨𝐯𝐞𝐫𝐰𝐫𝐢𝐭𝐭𝐞𝐧 𝐛𝐲 𝐦𝐞𝐫𝐠𝐞"
  - 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Stash your local changes with 𝐠𝐢𝐭 𝐬𝐭𝐚𝐬𝐡, then perform the merge, and finally apply your changes back with 𝐠𝐢𝐭 𝐬𝐭𝐚𝐬𝐡 𝐚𝐩𝐩𝐥𝐲.

Remember that these are just brief solutions. The specific actions needed may vary based on the context of the error and the state of your Git repository.


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

🖥 https://prodevopsguy.site/projects/aws-terrform/

#AWS #Terraform

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

🚀 𝗗𝗲𝘃𝗢𝗽𝘀 𝗥𝗲𝘀𝘂𝗺𝗲: 𝗔 𝗖𝗼𝗺𝗽𝗿𝗲𝗵𝗲𝗻𝘀𝗶𝘃𝗲 𝗚𝘂𝗶𝗱𝗲 🚀

Hello #devops People 👋 Ready to level up your DevOps game? Let's dive into crafting a resume that stands out in the digital crowd! 🌟

𝟭. 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗕𝗮𝗱𝗴𝗲𝘀 𝗦𝗵𝗼𝘄𝗰𝗮𝘀𝗲 🛡
Give your resume a visual boost with badges for certifications! 🏆 Highlight your expertise in AWS, Azure, Docker, Kubernetes, and more. 🚢 Show that you're not just talking the talk, but you've walked the walk!

𝟮. 𝗧𝗼𝗼𝗹𝘀 & 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 🔍
Don't be shy about your tech stack! ⚙️ Ensure tools like Jenkins, Ansible, Terraform, and Git are prominent. 🔧 Make it easy for recruiters to spot your proficiency at first glance.

𝟯. 𝗪𝗼𝗿𝗸 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 🛠
In the Work Experience section, be crystal clear about your impact! 🚀 If you're a DevOps Engineer, don't just say it – show it! Mention daily tasks like infrastructure automation, CI/CD pipeline management, and system monitoring.

𝟰. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗦𝗵𝗼𝘄𝗰𝗮𝘀𝗲 🌐
Bring your projects into the limelight! 🌟 Format it like this:
Project: Automatic Deployments
Organization: XYZ Corp
Tools & Tech Used: Jenkins, Docker, Kubernetes
Role: DevOps Engineer
Responsibilities: Automated deployment processes, ensuring zero downtime
Tasks: Streamlined CI/CD pipelines, implemented containerization

𝟱. 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗔𝘄𝗮𝗿𝗱𝘀 𝗦𝗲𝗰𝘁𝗶𝗼𝗻 🎓
Create a dedicated space for certifications and awards! 🏅 Showcase your dedication and accomplishments separately. This not only looks organized but highlights your commitment to continuous improvement.

𝟲. 𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗦𝗻𝗮𝗽𝘀𝗵𝗼𝘁 📊
Summarize your qualifications for a quick overview! 📈 Whether it's a degree in Computer Science or a specialized DevOps certification, make it easily digestible.


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