Open Credo

Showing all blogs in category GCP

DZone Repost: Testing Serverless Functions

February 11, 2022 | AWS, Cloud, GCP, Kubernetes, Microservices, Open Source, Software Consultancy

DZone Repost: Testing Serverless Functions

Serverless functions are easy to install and upload, but we can’t ignore the basics. This article looks at different strategies related to testing serverless functions.

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Anthos – A Holistic Approach to your Hybrid Cloud initiative

February 17, 2021 | Blog, Cloud, Cloud Native, GCP, Open Source

Anthos – A Holistic Approach to your Hybrid Cloud initiative

Multi-cloud is rapidly becoming the cloud strategy of choice for enterprises looking to modernise their applications.

And the reason is simple – it gives them much more flexibility to host their workloads and data where it suits them best.

In this post, we focus on Google’s application modernisation solution Google Anthos and the role it can play in your cloud transformation strategy.

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Google Cloud Spanner: our first impressions

March 7, 2017 | Data Analysis, GCP

Google Cloud Spanner: our first impressions

Google has recently made its internal Spanner database available to the wider public, as a hosted solution on Google Cloud. This is a distributed relational/transactional database used inside for various Google projects (including F1, the advertising backend), promising high throughput, low latency and 99.999% availability. As such it is an interesting alternative to many open source or other hosted solutions. This whitepaper gives a good theoretical introduction into Spanner.

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Embracing Disruptive Innovation: OpenCredo Partners with Google

August 5, 2015 | Cloud, GCP, Kubernetes

Embracing Disruptive Innovation: OpenCredo Partners with Google

Why OpenCredo partnered with Google

Recently OpenCredo chose to partner with Google in order to share knowledge and resources around the Google Cloud Platform offerings. Our clients come in many shapes and sizes, but typically all of them realise three disruptive truths of the modern IT industry: the (economic) value of cloud; the competitive advantage of continuous delivery; and the potential of hypothesis and data-driven product development to increase innovation (as popularised by the Lean Startup / Lean Enterprise motto of ‘build, measure, learn’).

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