You will get automated deployment of your code to AWS or Azure
Project details
This project automates the deployment of code from GitLab or GitHub to AWS or Azure environments using robust CI/CD pipelines. The process begins with developers pushing their code to either GitLab or GitHub repositories. Automated CI/CD pipelines are triggered, which handle the entire process from code validation to deployment.
For the build process, Docker is utilized to ensure consistent and reproducible environments across all stages, from development to production. Docker containers encapsulate the application and its dependencies, making the process seamless and eliminating "works on my machine" issues.
The pipeline integrates several essential quality checks, including basic code linting to ensure adherence to coding standards, unit testing to verify the functionality of individual components, and, if available, code scanning tools to identify potential security vulnerabilities or code quality issues. These checks ensure that only high-quality and secure code is deployed
Finally, depending on the project requirements, the pipeline automatically deploys the code to either AWS or Azure, streamlining deployments and enabling rapid, reliable updates to production environments
For the build process, Docker is utilized to ensure consistent and reproducible environments across all stages, from development to production. Docker containers encapsulate the application and its dependencies, making the process seamless and eliminating "works on my machine" issues.
The pipeline integrates several essential quality checks, including basic code linting to ensure adherence to coding standards, unit testing to verify the functionality of individual components, and, if available, code scanning tools to identify potential security vulnerabilities or code quality issues. These checks ensure that only high-quality and secure code is deployed
Finally, depending on the project requirements, the pipeline automatically deploys the code to either AWS or Azure, streamlining deployments and enabling rapid, reliable updates to production environments
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Performance OptimizationWhat's included $200
These options are included with the project scope.
$200
- Delivery Time 2 days
- Number of Revisions 2
- Source Code
Optional add-ons
You can add these on the next page.
Additional Revision
+$150
35 reviews
(29)
(5)
(0)
(1)
(0)
This project doesn't have any reviews.
TK
Tini K.
May 8, 2025
Metabase Expert
AA
Ahmad A.
Mar 15, 2025
Superset Deployment
SK
Salman K.
Feb 24, 2025
Metabase support
VR
Vishagan R.
Dec 11, 2024
Gitlab process consultant
LW
Lee W.
Sep 27, 2024
Backend dev support: AWS S3 API, pipeline config, multiple projects
Nikhil has been very helpful in setting up a CI/CD pipeline with GitHub and AWS. He handled everything and wrote API documentation. I recommend hiring him.
About Nikhil
BI Dashboard Specialist | Metabase & Superset | SQL
100%
Job Success
Ernakulam, India - 7:15 pm local time
I build business dashboards in Metabase and Apache Superset that give founders, managers, and operations teams a real-time view of what's driving performance — and what isn't.
— What I do —
I work with companies to design and build dashboards that answer specific business questions using SQL and their existing data:
• Revenue and sales performance tracking
• KPI monitoring for teams and departments
• Customer retention and churn analysis
• Marketing funnel and conversion reporting
• Metabase or Superset setup, migration, and training
For example: one client couldn't tell which product lines were profitable until we built a margin dashboard in Metabase — they cut two underperforming lines within a month. Another needed daily visibility into their sales pipeline; we set that up in Superset connected directly to their CRM database.
— Why work with me —
• 100+ dashboards built across SaaS, e-commerce, logistics, and professional services
• Top Rated on Upwork | 96% Job Success Score | $100K+ earned
• I ask the right questions upfront so the dashboard actually gets used
• Clear communication, reliable delivery, no scope surprises
Good dashboards don't just look clean — they change how a team makes decisions. That's what I build.
Message me with what you're trying to track. I'll respond within a few hours.
Steps for completing your project
After purchasing the project, send requirements so Nikhil can start the project.
Delivery time starts when Nikhil receives requirements from you.
Nikhil works on your project following the steps below.
Revisions may occur after the delivery date.
The client grants access to the projects and AWS account.
With the projects details and AWS acccess, I will setup the CI/CD.