Level up your Google Cloud journey with Astrafy.

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Why Google Cloud?

We strive to be technology agnostic but still all the work we do needs to run somewhere. Having worked with all the mainstream cloud providers, we came to the objective conclusion that Google Cloud was the best fit for analytical purposes. The following are key differentiators:

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Performance

Scalability is limitless and speed of processing is impressive. All of this is abstracted away from the end user so that you can focus on the concrete logic of your use case.

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Documentation and user friendly UI

Google makes it easy to understand complex concepts. By reading the documentation, you can easily jump start developing with any of their solutions. The UI makes it also a breeze to navigate through your organisation and products used.

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Fully managed products

Cloud Composer for Airlfow, Dataflow for Apache Beam are some of the fully managed data products. Forget about all the provisioning, boilerplate, etc. and start implementing immediately with those great OSS solutions.

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Training

Google is investing massively in their training platforms via customs courses on skillboost, Codelabs and a variety of courses offered on third party platforms (Coursera, Cloud Guru, etc.). Learning has never been easier and the high level of pedagogy makes it accessible to anyone.

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Community and support

The community is huge and keeps on increasing. You will finds many threads on stackoverflow in case you face an issue and if you have a support access for your Google Cloud organisation you get access to Google engineers that will tackle your bugs in a matter of hours.

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Open source modules

Chances are that if you start from scratch there is already some quickstart terraform module or template repository that you can use to start with best-practices from Google engineers and the community.

What Are We Good at?

All pour engineers have a good overview of all Google Cloud products (most of us are holders of at least 5 professional certificates) but we excel in the following key pillars where we have gained expertise through years of implementation across different verticals:

Datastream

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BigQuery

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Cloud Composer

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Dataflow

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Pub/Sub

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Vertex AI

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Cloud Functions

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Cloud Run

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Dataplex

Data Analytics: All products related to data engineering, Business Intelligence and advanced analytics (Machine Learning). We also build custom data applications.

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Identity and Access Management

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Security Command Center

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Chronicle

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Data Loss Prevention API

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Secret Manager

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Google Cloud Armor

Security: We put security as a first-class citizen in all our projects and each Google Cloud product has its own security best-practices. On top of that we master the generic Google Cloud security products.

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Compute Engine

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Google Kubernetes Engine

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Cloud Bigtable

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Cloud Spanner

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Cloud SQL

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Firestore

Infrastructure: We encompass here all the expertise related to the deployment of VM through Compute Engine, Kubernetes cluster via GKE and deployment of transactional databases.

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Cloud CDN

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Cloud DNS

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Cloud Firewall Rules

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Cloud Interconnect

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Cloud Load Balancing

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Cloud NAT

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Cloud Network

Networking: It is touching every product on the cloud and is often the root cause of many bugs and where security issues arise. We have gained deep knowledge on every aspect of networking on Google Cloud through various data and infra projects.

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Google Workspace: Not directly a Google product but for many organisations that have a Google workspace account, it acts as their Google Cloud identity. We are using Google Workspace internally at Astrafy and have it set up with best practices in terms of structure and security.

What we offer?

Use at best Google Cloud