.Automation on AWS Cloud

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.Driving Agility, Scale and Control

Cloud automation is the use of automated tools and processes to execute workflows in a cloud environment that would otherwise have to be performed manually by your engineers. Instead of wasting time and resources managing cloud environments by hand, organisations that leverage cloud automation are able to focus their resources on activities that deliver direct business benefits, like developing new services and keeping customers pleased. Cloud automation is the only way to leverage the most value out of cloud environments.

.Automation Services

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DevOps automation is the practice of automating repetitive and manual DevOps tasks to be carried out without any human interaction. Automation can be applied throughout the DevOps lifecycle: Design and development, Software deployment and release, Monitoring & Logging. The goal of DevOps automation is to streamline the DevOps lifecycle by reducing manual workload.

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DevSecOps means building security into app development from end to end. This integration into the pipeline requires a new organizational mindset as much as it does new tools. Automate security to protect the overall environment and data, as well as the continuous integration/continuous delivery process — a goal that will likely include the security of microservices in containers and Serverless.

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Improve the automation, governance, and quality of production ML through Continuous Delivery (CD) pipelines and Self-Service Portals. An ML pipeline in production continuously delivers prediction services to new models that are trained on new data. The model deployment step, which serves the trained and validated model as an inference service for online inferences, is automated.


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Improve Collaboration

Eliminates typical handoff challenges between different roles with an automated and coordinated process.

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Lower Costs

Reduces manual tasks allowing you to increase your development capacity and reduce errors.

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Accelerated Innovation

Integrated operations and development team leads to faster development and deployment.

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Increase efficiency

Automated tools and standardized production platforms make deployments more predictable.

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Reduce failures

When changes are small and distinct rather than large and sweeping, they are safer. Not only the chance of failure decreases, but the recovery time also decreases.

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Better Quality Products

Products are deployed with fewer bugs, and since deployment is frequent and cycle times are shorter, products can be continuously improved more quickly.

.Case Studies

.Our Approach


Evaluation how the customer currently handles building, testing, deploying, and releasing their applications to production.


Expert-led guidance and enablement program. Experienced engineers will upskill your team to do deployments at scale.


Expert-led guidance and enablement program. Experienced engineers will upskill your team to do deployments at scale.

.Explore Our Latest Cloud Insights

.Bring your application to a new level

Are you looking for a team that goes a step further? We are ready for all tasks!

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globaldatanetCloud Development, Optimization & Automation



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