Infra & DataOps
Infra & DataOps
Infra & DataOps
Get your foundations right with full automation
Get your foundations right with full automation
Get your foundations right with full automation
It shouldn’t be that way. Infrastructure is the backbone of your data ecosystem.
It shouldn’t be that way. Infrastructure is the backbone of your data ecosystem.
It shouldn’t be that way. Infrastructure is the backbone of your data ecosystem.
With strong infra foundations, all your data initiatives will flow seamlessly. Astrafy makes it happen with Infrastructure as Code, deployment of your applications on Kubernetes, and automating everything all the way with DevOps and DataOps best practices.
With strong infra foundations, all your data initiatives will flow seamlessly. Astrafy makes it happen with Infrastructure as Code, deployment of your applications on Kubernetes, and automating everything all the way with DevOps and DataOps best practices.
With strong infra foundations, all your data initiatives will flow seamlessly. Astrafy makes it happen with Infrastructure as Code, deployment of your applications on Kubernetes, and automating everything all the way with DevOps and DataOps best practices.
Are you repeating the same tasks over and over?
Are you repeating the same
tasks over and over?
Are you repeating the same
tasks over and over?
Are you struggling to integrate all your data applications together?
Are you struggling to integrate all your
data applications together?
Are you struggling to integrate all
your data applications together?
Are you deploying infrastructure manually?
Are you deploying infrastructure manually?
Are you deploying infrastructure manually?
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Solutions
Solutions
Solutions
Infrastructure
Infrastructure
Infrastructure
“The Silent Hero in a Data-Driven World.”
“The Silent Hero in a Data-Driven World.”
“The Silent Hero in a Data-Driven World.”
We build your data foundations using Terraform for 'Infrastructure as Code' and Kubernetes for seamless application deployment. At Astrafy, we champion open-source tools like ArgoCD for efficient GitOps workflows and explore the potential of Crossplane for advanced resource management.
We build your data foundations using Terraform for 'Infrastructure as Code' and Kubernetes for seamless application deployment. At Astrafy, we champion open-source tools like ArgoCD for efficient GitOps workflows and explore the potential of Crossplane for advanced resource management.
We build your data foundations using Terraform for 'Infrastructure as Code' and Kubernetes for seamless application deployment. At Astrafy, we champion open-source tools like ArgoCD for efficient GitOps workflows and explore the potential of Crossplane for advanced resource management.
Automation
Automation
Automation
“if something can be automated then it must be automated”.
“if something can be automated then it must be automated”.
“if something can be automated then it must be automated”.
By prioritizing automation, DevOps & DataOps engineers expedite tasks, allowing data engineers and analytics engineers to dedicate more focus to delivering impactful solutions for the business. Automation is a key competitive advantage as it reduces errors by automated running quality checks and gives time back to your engineers to iterate on value-added tasks.
From automating your data applications, data infrastructure to building advanced CI pipelines for your data pipelines, we excel at those tasks and have developed ready-to-use templates over the years.
By prioritizing automation, DevOps & DataOps engineers expedite tasks, allowing data engineers and analytics engineers to dedicate more focus to delivering impactful solutions for the business. Automation is a key competitive advantage as it reduces errors by automated running quality checks and gives time back to your engineers to iterate on value-added tasks.
From automating your data applications, data infrastructure to building advanced CI pipelines for your data pipelines, we excel at those tasks and have developed ready-to-use templates over the years.
By prioritizing automation, DevOps & DataOps engineers expedite tasks, allowing data engineers and analytics engineers to dedicate more focus to delivering impactful solutions for the business. Automation is a key competitive advantage as it reduces errors by automated running quality checks and gives time back to your engineers to iterate on value-added tasks.
From automating your data applications, data infrastructure to building advanced CI pipelines for your data pipelines, we excel at those tasks and have developed ready-to-use templates over the years.
Observability, monitoring & Chatops
Observability, monitoring & Chatops
Observability, monitoring & Chatops
“Monitoring Today, Anticipating Tomorrow”
“Monitoring Today, Anticipating Tomorrow”
“Monitoring Today, Anticipating Tomorrow”
We have countless examples where data is inaccurate at datamart level and it remains undetected for a while. Observability and monitoring are all about getting in control of what happens within your data products. Companies must lean towards Data Observability Driven development that can be compared to test-driven development (TDD) in software engineering and go from being reactive to being proactive.
From monitoring and optimizing data workloads on Kubernetes to observability of all your data transformations and actionable notifications of any application or data issues, we give you control of your entire data ecosystem through best-of-breed tools fine-tuned for your use cases.
We have countless examples where data is inaccurate at datamart level and it remains undetected for a while. Observability and monitoring are all about getting in control of what happens within your data products. Companies must lean towards Data Observability Driven development that can be compared to test-driven development (TDD) in software engineering and go from being reactive to being proactive.
From monitoring and optimizing data workloads on Kubernetes to observability of all your data transformations and actionable notifications of any application or data issues, we give you control of your entire data ecosystem through best-of-breed tools fine-tuned for your use cases.
We have countless examples where data is inaccurate at datamart level and it remains undetected for a while. Observability and monitoring are all about getting in control of what happens within your data products. Companies must lean towards Data Observability Driven development that can be compared to test-driven development (TDD) in software engineering and go from being reactive to being proactive.
From monitoring and optimizing data workloads on Kubernetes to observability of all your data transformations and actionable notifications of any application or data issues, we give you control of your entire data ecosystem through best-of-breed tools fine-tuned for your use cases.
Automation requires some basics that are not going anywhere:
Automation requires some basics that are not going anywhere:
Automation requires some basics that are not going anywhere:
GitOps is the foundation of your codebase and each codebase must have a GitOps strategy well defined. Each push on the remote repository is the starting point of the DataOps automation pipeline.
GitOps is the foundation of your codebase and each codebase must have a GitOps strategy well defined. Each push on the remote repository is the starting point of the DataOps automation pipeline.
Shell scripting has been there for decades and is still widely used in DevOps and DataOps as a default supported languages for simple operations.
Shell scripting has been there for decades and is still widely used in DevOps and DataOps as a default supported languages for simple operations.
Why us
Why us
Why us
Terraform modules
Terraform modules
We have lots of terraform modules, Gitlab CI, helm chart, etc., and templates designed for data use cases. This allows us to jump-start your DataOps journey.
Holistic approach
Holistic approach
We take a holistic approach to understanding your entire data ecosystem to automate at best. DataOps requires understanding all the different aspects of data engineering in order to glue all tools seamlessly.
Own Kubernetes cluster
Own Kubernetes cluster
We eat our own dog food and have our own Kubernetes cluster hosted on Google Kubernetes Engine where we have deployed all the Modern Data Stack applications we preach.
Resources
Resources
Resources
Ready to build solid data foundations
and automate your data journey?
Ready to build solid data foundations
and automate your data journey?
Ready to build solid data foundations
and automate your data journey?
