Software Development

Anthos Service Mesh makes it very simple for a service in one cluster to call service in another cluster. Not just calling the service but also doing so securely, with fault tolerance and observability built-in. This is a fourth in a series of posts on service to service call patterns in Google Cloud.  The first post explored Service to Service ...

This post is part of a series where I do my best to organize my thoughts around Go: its paradigms and usability as a programming language. I write this as a Java programmer that respects the principles of Elegant Objects. Go 1.18 Beta 1 was just released. These are my initial impressions of the main feature to be delivered in this release: generics. ...

As many other terminologies before like cloud computing, muti-tenancy, SaaS, PaaS, IaaS and so on, the definition of AI also has started to blurr irreparably. We seem to want to use the term AI for anything and everything. It goes to prove the time-proven saying once again “if the mountain cannot go to Mohammad, Mohammad goes to the mountain!” If ...

A while back I had to make some changes to a couple of existing microservices that were new to me. People would always refer to any of them only by the name of the bounded context that they were a part of: the Message Center.  Not sure where to find the repositories, I searched for message center in gitlab thinking ...

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This is a quick write up based on a few days of experimentation with Cloud Bigtable, with the following objectives: 1. Using an emulator for local development 2. A high level schema design with retrieval patterns in mind 3. Finding records Emulator Cloud Bigtable emulator provides a way to test the Bigtable functionality locally.  Setting up the emulator is easy and is ...

This is third blog post as part of a series exploring service to service call patterns in different application runtimes in Google Cloud. The first post explored Service to Service call pattern in a GKE runtime using a Kubernetes Service abstraction The second post explored Service to Service call pattern in a GKE runtime with Anthos Service mesh.  This post ...

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What can you do to prevent failures in software that are increasing in size and control the difficulties that arise because of it? Testing such systems can be very tricky and expensive. It is very difficult to balance cost, the number of bugs, and testing coverage. In software testing, test coverage is defined as the amount of codebase covered by ...