An Rodriguez

Here, I developed a monitoring system using infrastructure as code (IaC) and the Datadog API. It monitors a wide range of metrics and processes (CPU, disk space, memory usage, and running processes). It also has warning notifications and alerts are sent via email and Slack—basically, it makes monitoring easy because the whole alerting system is set up by executing a Python Shell script. The notifications also have all of the information necessary to know how to resolve the problem.

I excel at identifying and developing much-needed Python scripts to automate administrative tasks like the creation/assignment of identity and access management (IAM) policies and groups, database users, schemas and also managing IAM, RedShift, Aurora permissions.

These type of scripts are amazing because they make everyone's life easier by significantly shortening the time it takes to grant access permissions or create the groups/policies—it achieves desired results in a much lower time from minutes to mere seconds. This allows higher throughput of work via the standardization of resources being created. This translates to happier clients and an absence of bottlenecks.

I've successfully used AWS-CLI to automate processes like the migration of AWS SES rules to AWS Dynamo and the validation of access policies in AWS IAM. The perks of using it is that it's fast, reliable, and automated; requiring no manual work and thus lacks all human errors.

For a company, I proposed and executed a "DevOps" website where users can obtain easily and automatically the information they needed or start processes. I thoroughly enjoy creating new things that help people to easily automate mostly repetitive tasks.

I created Ansible playbooks for to automate the patching of Linux servers and upgrading WordPress sites. I find it incredibly useful because I personally hate manual, slow, repetitive, and boring tasks like updating plugins and implementing backups. With this one can doesn't have to do those type of tasks and it improves the speed and optimizes and standardizes the experience. Ultimately, resulting in a more structured way of work.

I also made a wrapper Python tool that takes advantage of Ansible's AWS dynamic inventories to select and filter machines using tags and to execute commands or playbooks.