optimization with Flexsave
optimization with Flexsave
Resources
![5c709 1ecs g06obsiswvlwsvu oq](https://www.doit.com/wp-content/uploads/2019/01/5c709-1ecs_g06obsiswvlwsvu-oq.png)
Kubernetes external API calls — the right way
Sometimes you will need to call the Kubernetes API from outside the cluster whether it’s to run
![1 2zp9g30kerhlin0nkhtc7q](https://www.doit.com/wp-content/uploads/2019/01/1_2zp9g30kerhlin0nkhtc7q.png)
Logging real remote IPs in Tomcat logs with Google Load Balancer
As part of our technical support operations, we have noticed that our customer’s Tomcat server on Google
![1 wdk2qwoqk58pay7fyolggq](https://www.doit.com/wp-content/uploads/2018/12/1_wdk2qwoqk58pay7fyolggq.png)
Predicting the Geospatial Availability of Mobility Services like Bird and Lime
Building and deploying production-grade machine learning models can be somewhat tricky. Even with technologies like Google Cloud
![1 ce4zye4gpmytsbthtlntwq](https://www.doit.com/wp-content/uploads/2018/11/1_ce4zye4gpmytsbthtlntwq.png)
Autoscaling K8s HPA with Google HTTP/S Load-Balancer RPS EXTERNAL Stackdriver Metrics
Most of the time, we scale our Kubernetes deployments based on metrics such as CPU or memory
![1 xq4cu5zgz003t6ekccf43a](https://www.doit.com/wp-content/uploads/2018/10/1_xq4cu5zgz003t6ekccf43a.jpeg)
XGBoost or TensorFlow?
Both XGBoost and TensorFlow are very capable machine learning frameworks but how do you know which one
![1 slajv2yu6jxihsdfdvxw7w](https://www.doit.com/wp-content/uploads/2018/09/1_slajv2yu6jxihsdfdvxw7w.jpeg)
Ephi — The ephemeral bot for Slack built with Google App Engine Task Queues
Ephi is a very simple bot for Slack that allows users to send ephemeral messages that are
![1 6tl05dq4o03gbdcptwwx8q](https://www.doit.com/wp-content/uploads/2018/09/1_6tl05dq4o03gbdcptwwx8q.jpeg)
KubeRBS for automatic Kubernetes rollbacks so you can sleep better at night!
With the massive adoption of Kubernetes and the fact the continuous delivery has become a standard practice,
![1 tkfa3vgeiwubmszkk7gqxw](https://www.doit.com/wp-content/uploads/2018/09/1_tkfa3vgeiwubmszkk7gqxw.jpeg)
Get your kid ETA from school using Google Home, Cloud Functions, Datastore, Maps Directions API, and some Cloud KMS ;-)
Recently, I have completed two Google Cloud certifications, – Professional Cloud Architect and Professional Data Engineer. The
![0 s t0zvy4lbkytv0v](https://www.doit.com/wp-content/uploads/2018/09/0_s_t0zvy4lbkytv0v.jpeg)
SageMaker ML: 5 Easy Steps to Predict Taxi Ride Fare!
TL;DR: Amazon SageMaker offers an unprecedented easy way of implementing machine learning pipelines, significantly shortening the time
![1 n7pqsiokjmjskzeevalnqg](https://www.doit.com/wp-content/uploads/2018/08/1_n7pqsiokjmjskzeevalnqg.jpeg)
Don’t get the Google Cloud Bill Shock!
With Google BigQuery ML you can now predict your Google Cloud spend in just a few minutes
![5c709 1ecs g06obsiswvlwsvu oq](https://www.doit.com/wp-content/uploads/2019/01/5c709-1ecs_g06obsiswvlwsvu-oq.png)
Kubernetes external API calls — the right way
Sometimes you will need to call the Kubernetes API from outside the cluster whether it’s to run a job
![1 2zp9g30kerhlin0nkhtc7q](https://www.doit.com/wp-content/uploads/2019/01/1_2zp9g30kerhlin0nkhtc7q.png)
Logging real remote IPs in Tomcat logs with Google Load Balancer
As part of our technical support operations, we have noticed that our customer’s Tomcat server on Google Cloud Platform
![1 wdk2qwoqk58pay7fyolggq](https://www.doit.com/wp-content/uploads/2018/12/1_wdk2qwoqk58pay7fyolggq.png)
Predicting the Geospatial Availability of Mobility Services like Bird and Lime
Building and deploying production-grade machine learning models can be somewhat tricky. Even with technologies like Google Cloud AutoML, Cloud
![1 ce4zye4gpmytsbthtlntwq](https://www.doit.com/wp-content/uploads/2018/11/1_ce4zye4gpmytsbthtlntwq.png)
Autoscaling K8s HPA with Google HTTP/S Load-Balancer RPS EXTERNAL Stackdriver Metrics
Most of the time, we scale our Kubernetes deployments based on metrics such as CPU or memory consumption, but
![1 xq4cu5zgz003t6ekccf43a](https://www.doit.com/wp-content/uploads/2018/10/1_xq4cu5zgz003t6ekccf43a.jpeg)
XGBoost or TensorFlow?
Both XGBoost and TensorFlow are very capable machine learning frameworks but how do you know which one you need?
![1 slajv2yu6jxihsdfdvxw7w](https://www.doit.com/wp-content/uploads/2018/09/1_slajv2yu6jxihsdfdvxw7w.jpeg)
Ephi — The ephemeral bot for Slack built with Google App Engine Task Queues
Ephi is a very simple bot for Slack that allows users to send ephemeral messages that are automatically deleted
![1 6tl05dq4o03gbdcptwwx8q](https://www.doit.com/wp-content/uploads/2018/09/1_6tl05dq4o03gbdcptwwx8q.jpeg)
KubeRBS for automatic Kubernetes rollbacks so you can sleep better at night!
With the massive adoption of Kubernetes and the fact the continuous delivery has become a standard practice, the rollout
![1 tkfa3vgeiwubmszkk7gqxw](https://www.doit.com/wp-content/uploads/2018/09/1_tkfa3vgeiwubmszkk7gqxw.jpeg)
Get your kid ETA from school using Google Home, Cloud Functions, Datastore, Maps Directions API, and some Cloud KMS ;-)
Recently, I have completed two Google Cloud certifications, – Professional Cloud Architect and Professional Data Engineer. The team at
![0 s t0zvy4lbkytv0v](https://www.doit.com/wp-content/uploads/2018/09/0_s_t0zvy4lbkytv0v.jpeg)
SageMaker ML: 5 Easy Steps to Predict Taxi Ride Fare!
TL;DR: Amazon SageMaker offers an unprecedented easy way of implementing machine learning pipelines, significantly shortening the time to market
![1 n7pqsiokjmjskzeevalnqg](https://www.doit.com/wp-content/uploads/2018/08/1_n7pqsiokjmjskzeevalnqg.jpeg)
Don’t get the Google Cloud Bill Shock!
With Google BigQuery ML you can now predict your Google Cloud spend in just a few minutes and without
![5c709 1ecs g06obsiswvlwsvu oq](https://www.doit.com/wp-content/uploads/2019/01/5c709-1ecs_g06obsiswvlwsvu-oq.png)
Kubernetes external API calls — the right way
Sometimes you will need to call the Kubernetes API from outside the cluster whether it’s to run a job
![1 2zp9g30kerhlin0nkhtc7q](https://www.doit.com/wp-content/uploads/2019/01/1_2zp9g30kerhlin0nkhtc7q.png)
Logging real remote IPs in Tomcat logs with Google Load Balancer
As part of our technical support operations, we have noticed that our customer’s Tomcat server on Google Cloud Platform
![1 wdk2qwoqk58pay7fyolggq](https://www.doit.com/wp-content/uploads/2018/12/1_wdk2qwoqk58pay7fyolggq.png)
Predicting the Geospatial Availability of Mobility Services like Bird and Lime
Building and deploying production-grade machine learning models can be somewhat tricky. Even with technologies like Google Cloud AutoML, Cloud
![1 ce4zye4gpmytsbthtlntwq](https://www.doit.com/wp-content/uploads/2018/11/1_ce4zye4gpmytsbthtlntwq.png)
Autoscaling K8s HPA with Google HTTP/S Load-Balancer RPS EXTERNAL Stackdriver Metrics
Most of the time, we scale our Kubernetes deployments based on metrics such as CPU or memory consumption, but
![1 xq4cu5zgz003t6ekccf43a](https://www.doit.com/wp-content/uploads/2018/10/1_xq4cu5zgz003t6ekccf43a.jpeg)
XGBoost or TensorFlow?
Both XGBoost and TensorFlow are very capable machine learning frameworks but how do you know which one you need?
![1 slajv2yu6jxihsdfdvxw7w](https://www.doit.com/wp-content/uploads/2018/09/1_slajv2yu6jxihsdfdvxw7w.jpeg)
Ephi — The ephemeral bot for Slack built with Google App Engine Task Queues
Ephi is a very simple bot for Slack that allows users to send ephemeral messages that are automatically deleted
![1 6tl05dq4o03gbdcptwwx8q](https://www.doit.com/wp-content/uploads/2018/09/1_6tl05dq4o03gbdcptwwx8q.jpeg)
KubeRBS for automatic Kubernetes rollbacks so you can sleep better at night!
With the massive adoption of Kubernetes and the fact the continuous delivery has become a standard practice, the rollout
![1 tkfa3vgeiwubmszkk7gqxw](https://www.doit.com/wp-content/uploads/2018/09/1_tkfa3vgeiwubmszkk7gqxw.jpeg)
Get your kid ETA from school using Google Home, Cloud Functions, Datastore, Maps Directions API, and some Cloud KMS ;-)
Recently, I have completed two Google Cloud certifications, – Professional Cloud Architect and Professional Data Engineer. The team at
![0 s t0zvy4lbkytv0v](https://www.doit.com/wp-content/uploads/2018/09/0_s_t0zvy4lbkytv0v.jpeg)
SageMaker ML: 5 Easy Steps to Predict Taxi Ride Fare!
TL;DR: Amazon SageMaker offers an unprecedented easy way of implementing machine learning pipelines, significantly shortening the time to market
![1 n7pqsiokjmjskzeevalnqg](https://www.doit.com/wp-content/uploads/2018/08/1_n7pqsiokjmjskzeevalnqg.jpeg)
Don’t get the Google Cloud Bill Shock!
With Google BigQuery ML you can now predict your Google Cloud spend in just a few minutes and without
Open source
Design. Develop. Do.
![OpenSource](https://www.doit.com/wp-content/uploads/2022/10/img_opensource.png)