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When Containers Talk: Decoding the Secret Language of Docker Networking.
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One of the vital aspects of excelling in DevOps interviews is effectively communicating your projects and contributions.
Here's a recommended format for presenting your projects:
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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
Each stage has metrics that are vital for the success of the DevOps.
Plan
Code
Build 🛠️: Monitor the build process to enhance the efficiency of running builds more frequently and reliably.
Test
Release & Deploy
Operate
Monitor
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Follow
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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
What is GitOps? It's a revolutionary approach that treats your infrastructure as code, using Git as the single source of truth.
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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
Here's your step-by-step guide:
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#devopshiring 💼
😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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JioCinema uses two different cloud providers that include Amazon Web Services (AWS) and Google Cloud Platform (GCP).
JioCinema uses load balancers to distribute the user traffic among multiple backend servers that ensures efficiency and no server is overloaded.
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.
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.
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.
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#devopshiring 💼
😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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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.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.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.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.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.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.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.Please open Telegram to view this post
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Navigating Kubernetes services? Understanding when to use NodePort
- NodePort for simplicity and cost-effectiveness.
- LoadBalancer for scalability and advanced features.
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- Utilize multiple stages to reduce the size of the final image.
- Keep the final image lean by copying only necessary artifacts from previous stages.
- Combine multiple RUN commands using && to minimize the number of layers.
- Clean up unnecessary files and dependencies within the same RUN command.
- 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.
- 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.
- 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.
- 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.
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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:
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