Recurly migrated to Google Cloud Platform for greater scalability and efficiency, unlocking the creativity of the company’s engineers. Here’s what they did.
By leveraging Google BigQuery and App Engine, Wondermall was able to move fast with focusing on engineering and innovation from day one. Here’s how.
Bringg tripled its business while cutting infrastructure costs by switching to Google Cloud. Read on to see how they did it with Kubernetes and more.
Raycatch implemented Google Compute Engine and Google Cloud Bigtable to power its daily solar asset data analyses, reducing processing times and improving performance while reducing
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,
Growing 50% year over year, SysAid needed to upgrade its email exchange servers to a solution that could scale along with them. That’s where they
After maintaining its own system for 15 years, Magic Software decided to manage their entire team in the cloud with Google Workspace. The result? Improved
As LivePerson scaled, handling applications became a costly ordeal. By implementing Kubernetes and autoscaling in Google Kubernetes Engine, they saved hundreds of thousands of dollars
What was once impossible, Aniview now explores tens of billions of rows in seconds while keeping costs to a minimum with Google BigQuery. This is
See how Outbrain utilizes Google BigQuery and Cloud Dataproc to make 275 billion highly targeted recommendations to 600+ million unique users every month.
Recurly migrated to Google Cloud Platform for greater scalability and efficiency, unlocking the creativity of the company’s engineers. Here’s what they did.
By leveraging Google BigQuery and App Engine, Wondermall was able to move fast with focusing on engineering and innovation from day one. Here’s how.
Bringg tripled its business while cutting infrastructure costs by switching to Google Cloud. Read on to see how they did it with Kubernetes and more.
Raycatch implemented Google Compute Engine and Google Cloud Bigtable to power its daily solar asset data analyses, reducing processing times and improving performance while reducing costs by 80%.
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.
Growing 50% year over year, SysAid needed to upgrade its email exchange servers to a solution that could scale along with them. That’s where they found Google Workspace. See how it worked out for them.
After maintaining its own system for 15 years, Magic Software decided to manage their entire team in the cloud with Google Workspace. The result? Improved collaboration and decreased maintenance. See what they did.
As LivePerson scaled, handling applications became a costly ordeal. By implementing Kubernetes and autoscaling in Google Kubernetes Engine, they saved hundreds of thousands of dollars per year. See how here.
What was once impossible, Aniview now explores tens of billions of rows in seconds while keeping costs to a minimum with Google BigQuery. This is their story.
See how Outbrain utilizes Google BigQuery and Cloud Dataproc to make 275 billion highly targeted recommendations to 600+ million unique users every month.
Recurly migrated to Google Cloud Platform for greater scalability and efficiency, unlocking the creativity of the company’s engineers. Here’s what they did.
By leveraging Google BigQuery and App Engine, Wondermall was able to move fast with focusing on engineering and innovation from day one. Here’s how.
Bringg tripled its business while cutting infrastructure costs by switching to Google Cloud. Read on to see how they did it with Kubernetes and more.
Raycatch implemented Google Compute Engine and Google Cloud Bigtable to power its daily solar asset data analyses, reducing processing times and improving performance while reducing costs by 80%.
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.
Growing 50% year over year, SysAid needed to upgrade its email exchange servers to a solution that could scale along with them. That’s where they found Google Workspace. See how it worked out for them.
After maintaining its own system for 15 years, Magic Software decided to manage their entire team in the cloud with Google Workspace. The result? Improved collaboration and decreased maintenance. See what they did.
As LivePerson scaled, handling applications became a costly ordeal. By implementing Kubernetes and autoscaling in Google Kubernetes Engine, they saved hundreds of thousands of dollars per year. See how here.
What was once impossible, Aniview now explores tens of billions of rows in seconds while keeping costs to a minimum with Google BigQuery. This is their story.
See how Outbrain utilizes Google BigQuery and Cloud Dataproc to make 275 billion highly targeted recommendations to 600+ million unique users every month.
From cost optimization to cloud migration, machine learning and CloudOps,
we’re here to make the public cloud easy.
From cost optimization to cloud migration, machine learning and CloudOps, we’re here to make the public cloud easy.
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