Resources
DoiT International builds on Google Cloud MSP Initiative to help customers with managing costs and scaling cloud engineering
San Francisco, CA, April 8th 2019 — DoiT International, today announced that it has deepened their standing in the
Power Grafana with Google BigQuery!
BigQuery is one of the most performant data cloud data warehouse for analytics. Grafana is an open
How Alcide leveraged GKE to slash deployment from 3 days to 20 minutes
Alcide used Google Kubernetes Engine to create a cloud-native security solution and cut deployment time, leading to
How PerimeterX cut response times by 40% with Google Cloud
PerimeterX wanted to better ensure peak performance for its SaaS service to provide a best in class
Transforming BigQuery JSON API responses recursively
Building key-value pairs from field/value row nests La Sagrada Familia, Barcelona, by Paolo Nicolello. Say it with me:
How Crazy Labs saved $700,000 per year by implementing AWS
Crazy Labs’ digital marketing team analyzes streaming data from millions of data sources to optimize their campaigns.
How Voyager Labs identifies nuggets of insight from 120K events/second
The AWS Cloud provides many of the building blocks required to help Voyager Labs implement a secure,
Airflow and superQuery
Monitoring your BigQuery costs in real-time with the SuperQueryOperator Photo by Soheb Zaidi on Unsplash “What is the
New Generation of AI training — Part II
Training GANs using mixed precision VS single precision In the previous post, we described how to change
New Generation of AI training — Part I
Tensor Cores boost your neural network training Deep neural networks are used in numerous cool applications such as
Production-Scale IoT Best Practices: Implementation with Google Cloud (Part 1/3)
Are you interested in learning how to build out an IoT operation in the cloud that is fully-managed, auto-scaling,
Build In Best Places to Work: 100 Best Remote Companies to Work for in 2022
How Pace Revenue halved compute costs and bolstered its algorithm with Google Cloud
With a few tweaks to its infrastructure, Pace cut its compute spend in half, powering through COVID-19 by swiftly reducing IT costs with DoiT International.
AWS Firewalls 101: How and When to Use Each One
AWS offers a lot of firewall solutions, and now a new one. Here’s how to make sense of all
Using Google API Python Client in Production-Grade Apps
How to build better software with Python and Google APIs The official Google API Python Client has seen some years.
November 2020 Roundup
Everything we wrote on our work with Google Cloud and Amazon Web Services during the last month. Amazon Web
DoiT International Achieves Google Cloud Data Management Specialization
Santa Clara, CA, December 3, 2020 (GLOBE NEWSWIRE) — DoiT International (“DoiT”), a leading provider of proprietary technology for
Centralize Logs From Multiple Projects On Google Cloud Platform
At DoiT International, we work with a variety of software companies around the globe. We frequently receive requests to
Isolating trends in public cloud costs using time-series analysis
Amazon Web Services or Google Cloud costs can be often somewhat confusing and it’s hard to “cut through the
AWS Partner Network: Reseller Partner of the Year 2020
DoiT International builds on Google Cloud MSP Initiative to help customers with managing costs and scaling cloud engineering
San Francisco, CA, April 8th 2019 — DoiT International, today announced that it has deepened their standing in the Google Cloud
Power Grafana with Google BigQuery!
BigQuery is one of the most performant data cloud data warehouse for analytics. Grafana is an open platform for
How Alcide leveraged GKE to slash deployment from 3 days to 20 minutes
Alcide used Google Kubernetes Engine to create a cloud-native security solution and cut deployment time, leading to increased productivity. See how here.
How PerimeterX cut response times by 40% with Google Cloud
PerimeterX wanted to better ensure peak performance for its SaaS service to provide a best in class real-time security solution. Moving from a multi-cloud approach, the company looked to consolidate its service on the fastest cloud provider possible.
Transforming BigQuery JSON API responses recursively
Building key-value pairs from field/value row nests La Sagrada Familia, Barcelona, by Paolo Nicolello. Say it with me: “Nested JSON
How Crazy Labs saved $700,000 per year by implementing AWS
Crazy Labs’ digital marketing team analyzes streaming data from millions of data sources to optimize their campaigns. See how they did it with AWS here.
How Voyager Labs identifies nuggets of insight from 120K events/second
The AWS Cloud provides many of the building blocks required to help Voyager Labs implement a secure, flexible, and cost-effective data collection, storage and analytics platform. These include AWS managed services that help ingest, store, find, process, and analyze both structured and unstructured data.
Airflow and superQuery
Monitoring your BigQuery costs in real-time with the SuperQueryOperator Photo by Soheb Zaidi on Unsplash “What is the cost?” A
New Generation of AI training — Part II
Training GANs using mixed precision VS single precision In the previous post, we described how to change Tensorflow code
New Generation of AI training — Part I
Tensor Cores boost your neural network training Deep neural networks are used in numerous cool applications such as self driving
Open source
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