Gerardo Emanuel Rodriguez

DVA is not associated with this job post. GCP DevOps Engineer, Colombia https://lnkd.in/gQxPt6uB You will be accountable for the following responsibilities: Write Terraform configurations to represent the GCP infrastructure state in code. Represent the actual infrastructure in network/topology/services diagrams in each environment (Development, QA, Production) Plan and conduct game days to test and enhance the code and diagrams. Propose the best practice approaches in terms of architecture design, security, naming conventions, governance, etc. Support CI/CD lifecycle Take ownership of the environment assigned. #jobposting #jobs #jobsearch #job #hiring #jobopening #jobhunt #recruitment #jobsearching #employment #jobvacancy #jobopportunity #jobseekers #jobfair #nowhiring #jobshiring #jobinterview #recruiting #career #jobseeker #jobhunting #jobalert #careers #hiringnow #work #joblisting #jobopportunities #jobvacancies #jobseeking #dreamjob

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Hi friends! Sharing the following Blog post I wrote about a very cool utility I helped develop here at my current job @ CloudEQ. Hope you like it and hope you can share it with your SRE peers using New Relic! =)

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Una nueva publicación Configuring “EC2 Image Builder” with Terraform and automating the creation of a new AMI with Linux (AL2, AL2023, Ubuntu): 😁 https://lnkd.in/gr9eHcuU #Linux #AWS #Terraform #Devops #SRE

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You can now watch how Civo does to provision managed #Kubernetes clusters in this talk presented by Kai H. 🙌 https://lnkd.in/eNkCKjBd #k8s #opensource #cloudnative

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Completed the Grafana Observability Solution Architect Course

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🚀 Design Patterns for Extensible Kubernetes Controllers An insightful talk by Rafael Fernández López and Fabrizio Pandini titled “Kubernetes is Your Platform: Design Patterns for Extensible Controllers”. Key Takeaways: 🔹 Complexity in Extensions: As Kubernetes adoption grows, developers often need custom controllers. When business logic becomes too complex, extending controllers becomes essential. 🔹 Design Patterns to Know: 1️⃣ Controller Watching the Same Object: • Example: A Machine controller manages machines, while a VolumeBackup controller watches the same machine to perform backups before deletion. • Benefit: Separates concerns without overcomplicating the primary controller. 2️⃣ Parent-Child Controller Relationship: • Example: A Deployment controller creates ReplicaSets, and a ReplicaSet controller manages pods. • Benefit: Enables scalability and advanced features like rollbacks. 3️⃣ API Contract Pattern: • Example: A generic Machine controller interacts with various infrastructure implementations (AWS, Azure) through a minimal API contract. • Benefit: Allows swapping implementations without changing core logic. 🔹 Extending a Single Controller: • In-Process Extensions: • ⚙️ Efficient but may introduce security risks. • Out-of-Process Extensions: • 🔒 Improved security and flexibility but adds complexity. Looking Forward: ✨ Community Collaboration: There’s a need to standardize how we extend controllers. 📌 Challenges Ahead: Documenting dependencies, enhancing debuggability, and defining clear extension contracts. Final Thoughts: This talk highlighted the importance of design patterns in managing Kubernetes’ complexity. Embracing these patterns and collaborating as a community is vital for future growth. 💡 Have you used these design patterns in your Kubernetes projects? Share your experiences! #Kubernetes #CloudNative #DesignPatterns #OpenSource #suse #vmware 🚢

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View my verified achievement from @GitLab! #GitLabCertifiedProjectManagementAssociate #DevOps #GitLab #ContinuousIntegration #ContinuousDelivery #ContinuousDeployment #CICD #ContinualLearningAndExperimentation

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Monte Verde (HTB Medium) Today's lab folks. Leveraging null/anonymous access on RPC and LDAP to enumerate users and organizational structure. Getting initial access due to weak password policy. PrivEsc by abusing intended functionality of Azure AD Connect.

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I am excited to announce that I have recently passed the Certified #Kubernetes Administrator (#CKA) exam! Tips: * Get familiar with imperative commands. `kubectl` can save you a bunch of time when solving scenarios. * You get two simulator sessions when buying the exam, make good use of both of them. They are more difficult than the real exam, and most likely, you won't complete all questions in the given time. However, go through all the questions as they should give you a really good level to pass the exam. * killer.sh also has a bunch of scenarios quite similar to the real exam; the platform is free, so try them. * I didn't have much problem with the PSI browser, but make sure you log in 30 minutes before to set your environment and clean your desk/room so you streamline the proctor verification.

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Kubernetes and Terraform Together Combining Kubernetes and Terraform takes operations to the next level: Comprehensive Management: Terraform can manage both the underlying infrastructure (networks, storage) and the deployment of applications in Kubernetes, offering a comprehensive solution. Operational Efficiency: It simplifies the management of infrastructure and application deployment, allowing the DevOps team to focus on more strategic tasks. Security and Compliance: Define policies and configurations in code, ensuring that security best practices and compliance are consistently applied across the entire infrastructure. #k8s #DevOps #AWS #terraform

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VagrantVM A nice way to get started with virtualization and actually with IaC https://lnkd.in/dhWsRQnE #vagrant #devops #aws #IaC #wmware #cloud

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💡Know what's news blog about AWS! 🔍 💡¡Conoce los nuevos blogs en AWS! 🔍 Streamline container application networking with built-in Amazon ECS support in Amazon VPC Lattice #awsnews #aws #news #whatsnew #tech #womantech

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AWS CloudFormation is a service that allows you to define and manage your infrastructure as code. You write templates that describe the AWS resources you want to create and manage, such as EC2 instances, S3 buckets, VPCs, and more. CloudFormation then provisions and configures these resources for you. This approach ensures that your infrastructure is versioned, repeatable, and easy to manage. thx IA

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𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦 𝐂𝐨𝐦𝐦𝐚𝐧𝐝𝐬 Learning Terraform commands is essential for efficient infrastructure management. These commands allow you to automate, plan, and apply changes to your infrastructure safely and effectively. By mastering Terraform, you can: Destroy resources with terraform destroy, ensuring clean resource cleanup. Plan changes with terraform plan, allowing for careful review before application. Update modules using terraform get, keeping your configuration current. Manage state through terraform state, giving you control over your infrastructure's state. View outputs with terraform show and terraform output, aiding in debugging and resource management. Import existing resources via terraform import, facilitating migration to Terraform management. Handle multiple environments using terraform workspace, enhancing environment segregation. Control resource lifecycle with terraform taint and terraform untaint, ensuring resources are correctly managed. Initialize configurations using terraform init, setting up your working directory for Terraform operations. Mastering these commands enhances your ability to manage infrastructure as code, improves deployment efficiency, and reduces the risk of errors, making Terraform an invaluable tool for modern DevOps practices.

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🚀 Looking to take your business applications to the next level? Look no further! With Kubernetes you can revolutionize the way you deploy and manage your applications, ensuring optimal performance, high availability, and simplified management. All while maintaining the flexibility and security necessary to adapt to your specific needs ➡️ https://hubs.li/Q02yw3Z30 #Kubernetes #DevOps #CloudComputing #Containerization 🔒💻

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🌟 Enhancing Observability with Grafana Alloy! 🌟 Recently, I was tasked with enhancing a client’s observability solution, with a primary requirement to deploy the Grafana Agent. However, with the Agent nearing its end of life and Grafana introducing Alloy, I thought I’d give it a shot! To start with, I really like the name Alloy. Perhaps they chose it because it reflects the concept of blending various elements to create something stronger and more versatile - ideal for an observability tool that supports pipelines for OpenTelemetry, Prometheus, Loki, and many other metrics, logs, and tracing tools. 🚀 Of course, trying out a new tool always comes with its challenges! With limited resources available beyond the official Grafana docs, I went through quite a bit of trial and error (Even ChatGPT didn’t have any helpful ideas 😅) ❓  Why Alloy? With Grafana Alloy, we get a unified agent that simplifies observability across multiple sources and tools, reducing the need for separate agents and easing configuration management. 💡 The trick is to convert the existing configs from tools like Promtail, Prometheus, and OpenTelemetry to the Alloy format. First, we extract the existing agent's config values and then use the alloy convert command to transition seamlessly. 👉 For anyone interested or looking to explore this further, check out my article: https://lnkd.in/g5ngryAh #Grafana #AWS #Kubernetes

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