🔥 I have created this handy diagram that breaks down the key concepts of Kafka in a simple and easy-to-understand way.

🔴 𝗣𝗿𝗼𝗱𝘂𝗰𝗲𝗿:

A Kafka producer is an entity that publishes data to topics within the Kafka cluster. In essence, producers are the sources of data streams, which might originate from various applications, systems, or sensors. They push records into Kafka topics, and each record consists of a key, a value, and a timestamp.

🔴 𝗖𝗼𝗻𝘀𝘂𝗺𝗲𝗿:

A Kafka consumer pulls data from Kafka topics to which it subscribes. Consumers process the data and often are part of a consumer group. In a group, multiple consumers can read from a topic in parallel, with each consumer responsible for reading from certain partitions, ensuring efficient data processing.

🔴 𝗧𝗼𝗽𝗶𝗰:

A topic is a category or feed name to which records are published. Topics in Kafka are multi-subscriber; they can be consumed by multiple consumers and consumer groups. Topics are divided into partitions to allow for data scalability and parallel processing.

🔴 𝗣𝗮𝗿𝘁𝗶𝘁𝗶𝗼𝗻:

A topic can be divided into partitions, which are essentially subsets of a topic's data. Each partition is an ordered, immutable sequence of records that is continually appended to. Partitions allow topics to be parallelized by splitting the data across multiple brokers.

🔴 𝗕𝗿𝗼𝗸𝗲𝗿:

A broker is a single Kafka server that forms part of the Kafka cluster. Brokers are responsible for maintaining the published data. Each broker may have zero or more partitions per topic and can handle data for multiple topics.

🔴 𝗖𝗹𝘂𝘀𝘁𝗲𝗿:

A Kafka cluster comprises one or more brokers. The cluster is the physical grouping of one or more brokers that work together to provide scalability, fault tolerance, and load balancing. The Kafka cluster manages the persistence and replication of message data.

🔴 𝗥𝗲𝗽𝗹𝗶𝗰𝗮:

A replica is a copy of a partition. Kafka replicates partitions across multiple brokers to ensure data is not lost if a broker fails. Replicas are classified as either leader replicas or follower replicas.

🔴 𝗟𝗲𝗮𝗱𝗲𝗿 𝗥𝗲𝗽𝗹𝗶𝗰𝗮:

For each partition, one broker is designated as the leader. The leader replica handles all read and write requests for the partition. Other replicas simply copy the data from the leader.

🔴 𝗙𝗼𝗹𝗹𝗼𝘄𝗲𝗿 𝗥𝗲𝗽𝗹𝗶𝗰𝗮:

Follower replicas are copies of the leader replica for a partition. They replicate the leader's log and do not serve client requests. Instead, their purpose is to provide redundancy and to take over as the leader if the current leader fails.

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

🚀 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!!!

🟥 75+ DevOps & Cloud Documents 📇 Uploaded

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

As Docker 🐬 adoption accelerates, developing core Docker literacy is becoming essential for developers, data scientists, QA engineers, and other technical roles.

Regardless of your technical role, grasping these fundamental Docker concepts and commands is crucial:

🟡 𝗜𝗺𝗮𝗴𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁
- Use 𝚍𝚘𝚌𝚔𝚎𝚛 𝚋𝚞𝚒𝚕𝚍 to create images from Dockerfiles, the blueprint for containers.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚙𝚞𝚕𝚕 to download pre-built images from registries like Docker Hub.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚙𝚞𝚜𝚑 to upload your images to remote registries.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚒𝚖𝚊𝚐𝚎𝚜 lists locally stored images.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚛𝚖𝚒 removes unwanted images.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚝𝚊𝚐 tags images for organizational purposes.

🟡 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗟𝗶𝗳𝗲𝗰𝘆𝗰𝗹𝗲
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚛𝚞𝚗 launches a container from an image.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚜𝚝𝚘𝚙 and 𝚍𝚘𝚌𝚔𝚎𝚛 𝚔𝚒𝚕𝚕 halt running containers gracefully or forcibly.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚛𝚎𝚜𝚝𝚊𝚛𝚝 restarts a stopped container.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚛𝚎𝚗𝚊𝚖𝚎 to rename existing containers.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚕𝚘𝚐𝚜 prints logs of a container.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚎𝚡𝚎𝚌 runs commands interactively in a container.

🟡 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗮𝗻𝗱 𝗦𝘁𝗼𝗿𝗮𝗴𝗲
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚗𝚎𝚝𝚠𝚘𝚛𝚔 manages custom networks containers connect to.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚟𝚘𝚕𝚞𝚖𝚎 creates sharable storage volumes containers can mount.

🟡 𝗠𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚜𝚢𝚜𝚝𝚎𝚖 𝚙𝚛𝚞𝚗𝚎 cleans up unused containers, images, volumes, etc.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚛𝚖 deletes stopped containers.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚒𝚗𝚜𝚙𝚎𝚌𝚝 shows in-depth info on a container.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚜𝚝𝚊𝚝𝚜 provides real-time container resource usage stats.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚙𝚜 lists running containers.

🟡 𝗗𝗼𝗰𝗸𝗲𝗿 𝗖𝗼𝗺𝗽𝗼𝘀𝗲
- 𝚍𝚘𝚌𝚔𝚎𝚛-𝚌𝚘𝚖𝚙𝚘𝚜𝚎 𝚞𝚙 starts an multi-container app from a compose file.
- 𝚍𝚘𝚌𝚔𝚎𝚛-𝚌𝚘𝚖𝚙𝚘𝚜𝚎 𝚍𝚘𝚠𝚗 stops and destroys the resources.
- 𝚍𝚘𝚌𝚔𝚎𝚛-𝚌𝚘𝚖𝚙𝚘𝚜𝚎 𝚕𝚘𝚐𝚜 aggregates logs from the containers.

🟡 𝗔𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚌𝚙 copies files between host and containers.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚍𝚒𝚏𝚏 shows filesystem changes in a container.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚝𝚘𝚙 displays running processes in a container.
- 𝚍𝚘𝚌𝚔𝚎𝚛 𝚜𝚎𝚊𝚛𝚌𝚑 searches for images on Docker Hub.

Developing familiarity with these core Docker capabilities empowers you to containerize applications and streamline development workflows.

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

👉 I started using docker in 2019 and kubernetes in 2020,

But If I was learning kubernetes today, then I would follow the path shown below in the diagram and never jump to K8s or docker directly.

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

Production is a live concert, and bugs found there are heard by the entire audience. It’s also like playing with fire, one misstep, and your reputation may get burned.


"😂😂😂"


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

🔥 Becoming a Certified Kubernetes Administrator, an EXPERT in K8s from scratch, and much MORE! 🔥

🔗 Link: https://github.com/NotHarshhaa/Certified_Kubernetes_Administrator

If you want to become a Certified Kubernetes Administrator, or you want to become an EXPERT in Kubernetes, learn Kubernetes from scratch and understand everything, this repo is a good choice.

🟡 Table of Contexts:

1. Kubernetes
2. Helm
3. Operator
4. Prometheus
5. EKS


❤️ Follow for more: @prodevopsguy

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


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

🤣 𝐖𝐡𝐞𝐧 𝐭𝐡𝐞𝐲 𝐬𝐚𝐢𝐝, '𝐃𝐞𝐯𝐎𝐩𝐬 𝐢𝐬 𝐣𝐮𝐬𝐭 𝐚 𝐟𝐞𝐰 𝐭𝐨𝐨𝐥𝐬 𝐚𝐧𝐝 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬...' 🤣


Welcome to the funhouse of endless learning and coffee! ☕️😂

Embracing the #DevOps journey is like opening the door to a world where a few tools' means a labyrinth of technologies, and 'best practices' is a euphemism for 'let's try until it works.' And let's not forget, dreaming in YAML has become a new job requirement!

But here's the twist – amidst the chaos of Kubernetes, the puzzles of CI/CD pipelines, and the maze of monitoring tools lies the real magic of #DevOps. It's not just about tools or practices; it's about building a culture that fosters collaboration, innovation, and continuous learning.

So, to all my fellow DevOps enthusiasts, newbies, and veterans alike, let's raise our coffee mugs to the journey ahead – a journey full of challenges, breakthroughs, and, yes, endless YAML files.

Here’s to keeping our sense of humour as we automate, integrate, and orchestrate the tech world! 🚀🌐


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

https://harshhaa.hashnode.dev/deployment-of-super-mario-on-kubernetes-using-terraform

Follow 🍩 Like 👍 Share 👍 Comment Your thoughts 💬

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

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!!!

🌟 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 𝘃𝘀. 𝗦𝘁𝗮𝘁𝗲𝗳𝘂𝗹𝗦𝗲𝘁𝘀 🌟

Making the right choice between Deployments and StatefulSets in Kubernetes can be a game-changer for your applications. It's not just a technical decision; it's about aligning your architecture with your application's needs!

🔍 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 are the go-to for stateless applications. They shine when you need scalable, updatable, and replaceable containers. Think of front-end apps, RESTful APIs, or any service where the individual identity of a pod doesn't matter.

🔐 𝗦𝘁𝗮𝘁𝗲𝗳𝘂𝗹𝗦𝗲𝘁𝘀, on the other hand, are crucial for stateful applications. They maintain a sticky identity for each pod, perfect for databases or any application where data consistency and unique network identifiers are key.

The impact of this choice is huge:
🚀 Scalability: How your application scales under load.
💾 Data Management: How your application handles data persistence.
🔄 Updates: How updates and rollbacks are managed.

👨‍💻 As DevOps and cloud professionals, understanding these nuances ensures our applications are robust, resilient, and ready to scale.


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

☄️ 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 and why should you 𝗹𝗲𝗮𝗿𝗻 𝗶𝘁 𝗮𝘀 𝗠𝗟𝗢𝗽𝘀/𝗠𝗟/𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿? 🔻

Today we look into the Kubernetes system from a bird's eye view.

➡️ 𝗦𝗼, 𝘄𝗵𝗮𝘁 𝗶𝘀 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 (𝗞𝟴𝘀)?

1⃣: It is a container orchestrator that performs the scheduling, running and recovery of your containerised applications in a horizontally scalable and self-healing way.

➡️ Kubernetes architecture consists of two main logical groups:

2⃣: Control plane - this is where K8s system processes that are responsible for scheduling workloads defined by you and keeping the system healthy live.
3⃣: Worker nodes - this is where containers are scheduled and run.

➡️ 𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂?

4⃣: You can have thousands of Nodes (usually you only need tens of them) in your K8s cluster, each of them can host multiple containers. Nodes can be added or removed from the cluster as needed. This enables unrivaled horizontal scalability.
5⃣: Kubernetes provides an easy to use and understand declarative interface to deploy applications. Your application deployment definition can be described in YAML, submitted to the cluster and the system will take care that the desired state of the application is always up to date.
6⃣: Users are empowered to create and own their application architecture in boundaries pre-defined by Cluster Administrators.

✅ In most cases you can deploy multiple types of ML Applications into a single cluster, you don’t need to care about which server to deploy to - K8s will take care of it.
✅ You can request different amounts of dedicated machine resources per application.
✅ If your application goes down - K8s will make sure that a desired number of replicas is always alive.
✅ You can roll out new versions of the running application using multiple strategies - K8s will safely do it for you.
✅ You can expose your ML Services for other Product Apps to use with few intuitive resource definitions.
✅ …



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

🚀 𝗪𝗵𝘆 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀? 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝗜𝘁𝘀 𝗣𝗼𝘄𝗲𝗿 𝗮𝗻𝗱 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 🚀

Kubernetes has revolutionized the way we handle containerized applications, but it's not without its complexities. Here's a quick dive into why Kubernetes is a game-changer and a note on its intricate nature:

💪 𝗧𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀:
🔢 Enhanced Scalability: Effortlessly scale your apps to handle increased traffic.
🔢 High Availability & Resilience: Keep your services up and running, no matter what.
🔢 Improved Resource Utilization: Say goodbye to resource wastage and hello to cost efficiency.
🔢 Automated Rollouts and Rollbacks: Deploy new features with confidence and ease.
🔢 Strong Community Support: Tap into the collective wisdom of Kubernetes experts.

❓ 𝗕𝘂𝘁, 𝗜𝘀 𝗜𝘁 𝗔𝗹𝘄𝗮𝘆𝘀 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗧𝗼𝗼𝗹?
While Kubernetes excels in managing complex applications, its strength can be a challenge for simpler needs. The learning curve is steep, and setting up a Kubernetes environment for a basic app might be like using a sledgehammer to crack a nut. It requires a thoughtful approach - understanding that the power it brings is accompanied by a level of complexity not always necessary for smaller-scale applications.

🔍 𝗧𝗵𝗲 𝗕𝗼𝘁𝘁𝗼𝗺 𝗟𝗶𝗻𝗲:
Kubernetes is incredibly powerful, but it's not a one-size-fits-all solution. For complex, scalable applications, it's a match made in heaven. But for smaller, simpler projects, consider the overhead and whether a simpler solution might meet your needs.


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

A meme that's sure to resonate with everyone riding the DevOps and cloud wave. It’s our good pal, Elmo, with 'new certifications' as his latest obsession, while 'projects' and 'study topics' wait in the wings.

✅ Here’s the deal: Certifications are like the cherry on top of your cloud sundry. They're shiny, they're nice, but what really makes the sundae is the scoop of solid knowledge and the sprinkles of hands-on experience.

Before you dive headfirst into the sea of certifications, anchor yourself in the fundamentals of DevOps and cloud computing. Get your hands dirty with real-world projects. Tinker with Kubernetes, wrestle with Terraform, and flirt with serverless architectures.

✅ The thing is, certifications will validate your skills, but they won't build them. You don’t want to be a cert-collecting lab rat lost in a maze of theory. What makes you stand out is not just the badges on your LinkedIn profile but the stories of problem-solving, innovation, and resilience from your actual work.

So, by all means, aim for those certifications – but not before you’ve laid a foundation of practical skills and knowledge. Let's ensure that when we reach for the stars (or certs, in this case), our feet are firmly planted in the cloud soil of expertise.


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

🔥 AWS Cloud ☁️ 🆓 Videos 📷


🟡 Part 1: https://drive.google.com/drive/folders/17Q3Tf3PEfmq_cGM97brqO3oCR0EPLFC8?usp=sharing

🟡 Part 2: https://drive.google.com/drive/folders/1bl8WhtUkWUXQh4XSm8_Nhf6Ykqu5rY-3?usp=sharing


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🟩 AWS & DevOps Free Videos :– 🟩


🗯 Part -1 : https://drive.google.com/drive/folders/1P2MORPWWUDk6MBzLktlahDRHJgh9YNta?usp=sharing

🗯 Part -2: https://drive.google.com/drive/folders/1-9pCWtNrSwWW3Bgd0BjqfH_x0sfJcXvE?usp=sharing

🗯 Part -3 : https://drive.google.com/drive/folders/1OD3B97MfmlQbnBVB_PMbt5bb5mtjyQk9?usp=sharing

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✅Link: https://drive.google.com/drive/folders/162YOHhybk_pYemCfKmKSGbdSjJDeuAYR?usp=sharing


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🟩 Docker Free Videos 🐬

🔗Link : https://drive.google.com/drive/folders/1lXSplxsWu-7f4Bbb3V9o-Em4XUahWVeD?usp=sharing


❤️ Follow for more: @prodevopsguy