By browsing our website, you consent to our use of cookies and other tracking technologies. For more information, read our Privacy Policy.


To build secure, reliable and scalable CI/CD pipelines quickly, going cloud-native is crucial. Now, we understand the complexity that comes with going cloud-native and by adding the CI/CD component, the complexity level does go high. But all that hard work is worth it, as it results in raising the bar of how our CI/CD systems work. It also allows Ops and Dev teams to work more efficiently, giving them room to make mistakes.

At CloudCover, we spend the time building automations by taking advantage of best-in-class cloud-native tooling that Google Cloud has to offer. With our CI/CD solution, you have the power to get your services up and running in a secure, standardised, and quick manner with just one-click.


  • Speedy Deployments

    Our cloud-native CI/CD solution allows you to build infrastructure and application pipelines with just one click. Automate the process of orchestrating development, testing, and deployment pipelines for your cloud-native applications.

  • All Things Cloud-native

    Build, test, and deploy across multiple environments such as VMs, serverless, Kubernetes, or Firebase with standard build and deployment methods.

  • Monitor from Anywhere

    To successfully run a highly scalable cloud-native environment you need to be able to monitor the setup effectively. We built close integrations with cloud-native tooling to make it easier for you to monitor the events for your pipelines.

Tools Used

  • Cloud Run

  • App Engine

  • GKE

  • Cloud Build

  • Cloud Source Repositores

  • GitHub

Want to build pipelines on GCP?

Get in touch

Data Lake in a Box

With Data Lake in a Box solution, you can quickly ingest and onboard disparate data sources on Google Cloud Platform using cloud-native data services. We leveraged the generic Terraform provisioning templates and fully configurable DataFlow and BigQuery jobs to load the raw data fast into BigQuery Data Lake. Sounds like a lot to handle? We have got it covered.


  • Data Processing & Metadata Management

    Auto schema detection using GCS external schema. Configurable data pipeline with partitions. Efficient columnar storage using formats like Parquet and Avro.

  • Integrate Multiple Data Sources

    Ingest data from disparate sources such as API, Streaming, and Batch sources using cloud.

  • Data Governance and Security

    Role based and fine grained access control. Encryption of data at rest and while in motion. Identification and masking of key business attributes.

  • ETL Monitoring

    Capture ETL pipeline lineage, ability to restart from failure point, failure notifications and alerts.

  • Data Analytics and Visualization

    Run ad hoc analysis using simple SQL language. Make interactive dashboards on top of the data lake to get real-time insights.

Tools Used

  • Cloud Storage

  • Cloud Functions

  • Cloud Pub/Sub

  • Cloud DataFlow

  • BigQuery

  • Cloud Stackdriver

  • Cloud IAM

  • Cloud Data Catalog

Want to make sense of your data?

Get in touch


  • 23 +

    Google Cloud Certified Engineers

  • 2017

    APAC Services Partner of the Year

  • 50 +

    Active Google Cloud Engagements


  • Aditya Birla Group

  • Bukalapak

  • Hike

  • IIFL

  • Media Prima

  • Scootsy

  • ShareChat

  • Tokopedia