Tag: Google Cloud Platform (GCP)

Datascape Podcast Episode 36 – August Cloud Updates

Welcome to the August episode of Datascape’s cloud update podcast where we discuss the latest announcements from the leading public cloud vendors with industry experts. Today we are joined by Pierig Le Saux, SRE principal consultant for Pythian, who will…

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Pythian migrates company’s global assets to GCP without downtime

Many businesses migrate to the cloud to take advantage of cost savings and improved agility. Optiva, a Canada-based company that develops software for communications service providers, recently migrated to Google Cloud Platform (GCP) with help from Pythian’s team of experts. Since…

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How to deploy machine learning on Google Cloud Platform

In this blog post, I will describe a few takeaways on how to deploy or submit Machine Learning (ML) tasks on Google Cloud Platform (GCP). If you have less experience as a ML engineer or if you are a solution…

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How to Implement Airflow Best Practices from a Data Scientist’s perspective – Part 1

This blog post is a compilation of suggestions for best practices drawn from my personal experience as a data scientist building Airflow DAGs and installing and maintaining Airflow. Let’s begin by explaining what Airflow is and what it is not….

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How to Autoscale ProxySQL in the cloud

ProxySQL is a great tool. It’s one of the most recommended technologies in our Open Source Database practice. Many of our clients are running it or are migrating towards it, but we’ve seen that it is pretty CPU-intensive. We’ve also…

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How to deploy highly available SQL Server 2017 on Linux on GKE

Kubernetes is an open-source container orchestration system for automating deployment, scaling and management of containerized applications. Running a SQL Server database on Kubernetes is a topic of discussion nowadays as Kubernetes provides ways to provision stateful containers using persistent volumes,…

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Examining distributed training of Keras Models

Creating deep learning models using Keras is pretty straightforward, which is why Keras is often used for prototyping and creating proof-of-concept products. But when it comes to using it for training bigger models or using very big datasets, we need…

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Gaming company benefits from increased responsiveness with help from Pythian’s Google BigQuery experts

When Skillz, a leading mobile eSports platform connecting 2.6 billion gamers across the globe, sought Pythian’s help with reducing storage costs, they learned they could not only reduce costs but also gain a more responsive application while providing an improved…

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How to restore MySQL data folder using persistent disk snapshots (GCP)

There are already many tools for MySQL to perform backups and consistent restores, but this time I’d like to elaborate on how to take advantage of the kindness the cloud, which gives us Persistent Disk Snapshots (PSD) to restore our…

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Big mining gets a boost from big data

What do you do when the breakdown of a single vehicle could cost you a million dollars? Easy: you avoid breakdowns at all costs. That’s exactly what Canada’s largest mining company is doing through a Google Cloud Platform artificial intelligence…

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