20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You will split time between monitoring systems, fixing user tickets, and planned work. Morning: check alerts for Amazon EC2, AWS CloudFormation stacks, and Apache Kafka/Hadoop job failures. Triage urgent network or service outages, then handle 5–10 user tickets like password resets or VPN problems.
Afternoon: deploy small changes with Ansible, test network patches, update documentation for network processes, and attend a 30–60 minute meeting to report status. You may also run performance checks on Redshift/Hive clusters and log findings for later optimization.
Start with the systems you’ll touch daily. Learn Amazon Web Services basics (EC2, CloudFormation) first because many deployments and servers run there. Know how to check instance status, security groups, and CloudFormation stack events.
Next, learn Ansible for automation—writing simple playbooks to deploy or restart services. After that, get familiar with Apache Kafka (messaging) and Apache Hadoop/Hive/Redshift only enough to read logs and restart jobs; deep cluster tuning is usually for engineers.
According to the U.S. Bureau of Labor Statistics (BLS) for 2025, 179,740 people worked in this category with a median annual wage of $134,050. The lowest tenth earned $79,900 and the top tenth earned $202,680. BLS provides those wage percentiles and employment counts.
Use those numbers as a guide—actual pay depends on your location, experience, certifications, and whether you work for a cloud-heavy company or a small local IT shop.
Use AI for drafting messages, summarizing logs, or suggesting commands—but never paste private keys, passwords, or full server logs containing personal data. Treat AI output as a first draft and double-check any commands or config changes in a safe test environment like a development EC2 instance.
Keep an audit: copy AI suggestions into ticket history with a note that you reviewed and tested them. If AI suggests deployment steps for CloudFormation or Ansible, run them in a staging stack first.
Helpdesk Technicians focus on day-to-day user support, monitoring, small deployments, and keeping documentation current. You’ll handle tickets, run tests, restart services (Kafka/Hadoop jobs), and apply routine fixes with Ansible or CloudFormation.
Network Engineers design and tune networks or large-scale systems: they create logical/physical designs, adjust network sizes for capacity, and develop disaster recovery or integration plans. Helpdesk escalates those bigger design or capacity problems to engineers.
Start with free AWS training (AWS free tier and CloudFormation tutorials) to learn EC2 and basic cloud concepts. Practice small projects: launch an EC2 instance, deploy a simple CloudFormation template, and write an Ansible playbook to install Apache or restart services.
Learn basic networking (IP, DNS, routing) and monitoring tools. Read vendor docs and attend one conference talk or watch a recorded session on Kafka or Hadoop. Keep a simple portfolio showing the templates, playbooks, and notes you made.
Learning automation with Ansible gives the fastest payoff: you’ll replace repetitive manual steps with tested playbooks for deployments, restarts, and patching. That reduces ticket time and human error.
Second is reading and interpreting logs for Apache Kafka, Hadoop, Hive, or Redshift. Being able to find the error line and test a fix on an EC2 test instance speeds troubleshooting and earns trust.