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Setting up an effective DevOps pipeline involves a combination of practices, tools, and cultural considerations.
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𝐋𝐢𝐬𝐭 𝐨𝐟 𝐟𝐫𝐞𝐞 𝐜𝐨𝐮𝐫𝐬𝐞𝐬 𝐭𝐨 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐘𝐨𝐮𝐫 𝐒𝐤𝐢𝐥𝐥𝐬: 𝐃𝐢𝐯𝐞 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐖𝐨𝐫𝐥𝐝 𝐨𝐟 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞𝐬𝐞 𝐦𝐮𝐬𝐭 𝐭𝐫𝐲 𝐅𝐫𝐞𝐞 𝐂𝐨𝐮𝐫𝐬𝐞𝐬
🔢 . 𝐏𝐲𝐭𝐡𝐨𝐧:
A scripting language used for automation in DevOps.
🔗 https://lnkd.in/gTEsX2VC
🔢 . 𝐆𝐢𝐭:
Distributes version control system handles everything from small to very large projects with speed and efficiency.
🔗 https://lnkd.in/gFTyTWCC
🔢 . 𝐂𝐥𝐨𝐮𝐝:
Its fair to say the rapid increament of startUps is revolutionised by the cloud technology.
🔗 https://lnkd.in/gf6_8RNG
🔢 . 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬:
An approach of making a loosely coupled application.
🔗 https://lnkd.in/gYqdHCdF
🔢 . 𝐒𝐞𝐫𝐯𝐞𝐫𝐥𝐞𝐬𝐬:
Allows developers to build and run applications without worrying about servers.
🔗 https://lnkd.in/g8knM8uE
🔢 . 𝐋𝐢𝐧𝐮𝐱:
Probably the most famous primitive yet secure OS to use
🔗 https://lnkd.in/ghmZybpz
🔢 . 𝐃𝐞𝐯𝐎𝐩𝐬:
An exploding domain to learn (It is an ecosystem that takes care of continuous integration, delivery, deployment and monitoring)
🔗 https://lnkd.in/g6ryYv8N
🔢 . 𝐃𝐨𝐜𝐤𝐞𝐫:
Packages application along with dependencies and libraries required to run the application.
🔗 https://lnkd.in/ggaqmu8p
🔢 . 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬, 𝐎𝐩𝐞𝐧𝐒𝐡𝐢𝐟𝐭:
Manages the deployment of an application and have autoscaling and autohealing capabilities.
🔗 https://lnkd.in/gsKYTciW
🔢 🔢 . 𝐌𝐲𝐒𝐐𝐋:
Relational Database Management System
🔗 https://lnkd.in/gbmjQcsD
😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
A scripting language used for automation in DevOps.
Distributes version control system handles everything from small to very large projects with speed and efficiency.
Its fair to say the rapid increament of startUps is revolutionised by the cloud technology.
An approach of making a loosely coupled application.
Allows developers to build and run applications without worrying about servers.
Probably the most famous primitive yet secure OS to use
An exploding domain to learn (It is an ecosystem that takes care of continuous integration, delivery, deployment and monitoring)
Packages application along with dependencies and libraries required to run the application.
Manages the deployment of an application and have autoscaling and autohealing capabilities.
Relational Database Management System
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Kubernetes, commonly referred to as K8s, is an open-source container orchestration platform designed to automate the deployment, scaling, and management of containerized applications.
- Physical or virtual machines that form the cluster.
- Each node runs container runtime (like Docker), kubelet (agent for managing node), and a kube-proxy.
- The smallest deployable units in kubernetes.
- Containers within a pod share the same network namespace, enabling them to communicate easily.
- Defines a set of pods and how they should be accessed.
- Provides a stable IP address and DNS name to access the pods.
- Ensures a specified number of replicas (pods) are running at all times.
- Helps with scaling and ensuring high availability.
- Manages ReplicaSets, allowing declarative updates to applications.
- Supports rolling updates and rollbacks.
- Defines the desired state for the application.
- Uses YAML files for configuration.
- Adjusts the number of replicas for a Deployment or ReplicaSet.
- Allows communication between different services within the cluster.
- Uses DNS names to locate services.
- Modifies the configuration to roll out updates.
- Supports rolling updates with zero downtime.
- Reverts to a previous version in case of issues with a new deployment.
- Controls and manages the overall cluster.
- Components: kube-apiserver, kube-controller-manager, kube-scheduler, etcd (distributed key-value store).
- Executes tasks assigned by the Master Node.
- Components: kubelet, container runtime (e.g., Docker), kube-proxy.
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- Command-level operations are fine.
- To excel in system architecture, deep knowledge of network protocols, IP routing, firewall management, and secure communication channels is essential.
- GUIs are intuitive, but incomplete.
- Get started with CLI from Day 1.
- Terraform, Ansible, Kubernetes, AWS - you name it, every single provider has a CLI.
- DevOps is not just about connecting tools.
- Automating tasks, writing hooks, API integration, and more needs solid programming expertise.
- Python, Go, Rust are promising choices.
- No day goes by without an API.
- Authentication methods like OAuth, JWT, and contract testing are crucial for smooth service integration.
- Knowing how to effectively consume and design RESTful services cannot be a choice.
- Robust troubleshooting skills across apps and infrastructure are non-negotiable.
- Tools such as
strace, netstat, tcpdump, and app-specific debuggers enable swift, effective problem-solving.- Tools aren't enough; couple it with an open mindset.
- Being security responsible from the start is imperative.
- Strict adherence to least privilege, RBAC, centralized secrets management, and a single source of truth is mandatory.
- Mastering how to catch, handle, and log exceptions can be a lifesaver in unexpected failure scenarios.
- Business is about dealing with humans; technology is built by and for humans.
- Effectively working in a team, understanding requirements, and clearly presenting technical solutions are underrated.
- But that makes all the difference more than anything else.
It's not about 'what if I start learning today.'
It's about understanding the gaps in the past and keeping updating.
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#devopshiring
😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
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However, managing load balancers can be overwhelming, given the various types and configuration options available.
In today's multi-cloud landscape, mastering load balancing is essential to ensure seamless user experiences and maximize resource utilization, especially when orchestrating applications across multiple cloud providers. Having the right knowledge is key to overcoming these challenges and achieving consistent, reliable application delivery.
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But the most critical element?
Making security a habit, not just a step.
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Many enthusiasts whom I interviewed, didn't understand
the difference between DevOps, SRE, and Platform Engineering.
While these disciplines share similarities, there are nuances in their focus:
There's overlap in principles but differences in scope. Many organizations blend these roles for the best results.
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Is this difference or is this same.
Let's look at the focus area of each and you determine if it's different or same.
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𝗠𝗼𝘀𝘁 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗔𝗪𝗦 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝘆𝗼𝘂 𝘀𝗵𝗼𝘂𝗹𝗱 𝗹𝗲𝗮𝗿𝗻 𝘁𝗼 𝗯𝗲 𝗮 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿.
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F13 Technologies is hiring for an AWS Cloud Intern.
Share your resume at tarleen.kaur@f13.tech if interested.
😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
Share your resume at tarleen.kaur@f13.tech if interested.
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Dive into these resources to enhance your skills in cloud infrastructure automation!
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