Google Cloud Platform Blog: Pricing

Announcing resource-based pricing for Google Compute Engine

dimecres, 25 de juliol del 2018

By Paul Nash, Group Product Manager, Google Compute Enginesustained use discounts

Previously, if you used a specific machine type (e.g. n1-standard-4) with four vCPUs for 50% of the month, you got an effective discount of 10%. If you used it for 75% of the month, you got an effective discount of 20%. If you use it for 100% of the month, you got an effective discount of 30%.

Let’s say you were running a web-based service. You started the month running an n1-standard-4 with four vCPUs. In the second week user demand for your service increased and you scaled capacity. You started running an n1-standard-8 with eight vCPU. Ever increasing demand caused you to scale up again. In week three you began running an n1-standard-16 with sixteen vCPU. Due to your success you wound up scaling again—ending the month running an n1-standard-32 with thirty-two vCPU. In this scenario you wouldn’t receive any discount, because you didn’t run any of the machine types for up to 50% of the month.

You began the month running four vCPU, and subsequently scaled to eight vCPU, sixteen vCPU and finally thirty-two vCPU. You ran four vCPU all month, or 100% of the time, so you receive a 30% discount on those vCPU. You ran another four vCPU for 75% of the month, so you receive a 20% discount on those vCPU. And finally, you ran another eight vCPU for half the month, so you receive a 10% discount on those vCPU. Sixteen vCPU were run for one week, so they did not qualify for a discount. Let’s visualize how this works, to reinforce what we’ve learned.

Resource-based pricing

Introducing Preemptible GPUs: 50% Off

dijous, 4 de gener del 2018

By Chris Kleban and Michael Basilyan, GCE Product Managerslower pricing for Local SSDs attached to Preemptible VMsloweredPreemptible GPUsannouncedocumentationappend --preemptible to your instance create commandscheduling.preemptibletrueREST APIPreemptible GPUs quota

managed instance groupsheresatellite image analysisquestions in quantum physicscomputational mathematicsdrug screening "Preemptible GPU instances from GCP give us the best combination of affordable pricing, easy access and sufficient scalability. In our drug discovery programs, cheaper computing means we can look at more molecules, thereby increasing our chances of finding promising drug candidates. Preemptible GPU instances have advantages over the other discounted cloud offerings we have explored, such as consistent pricing and transparent terms. This greatly improves our ability to plan large simulations, control costs and ensure we get the throughput needed to make decisions that impact our projects in a timely fashion." — Woody Sherman, CSO, Silicon Therapeutics TwitterFacebookG+preemptible documentationGPU documentationbest practicesCompute Engine pricing pagepricing calculatorGetting Helpsign up for Google Cloud PlatformPreemptible GPUs

Cutting cluster management fees on Google Kubernetes Engine

dimarts, 28 de novembre del 2017

By Aparna Sinha, Group Product ManagerGoogle Kubernetes Enginepricing—

Nodes in the cluster	Older Pricing	New Pricing (effective immediately)
Nodes in the cluster	Cluster Management Fee	Cluster Management Fee
0 to 5 nodes	0	0
6+ nodes	$0.15 / hour	0

Master VM is automatically scaled, upgraded, backed up and secured

Master VM is fully managed by Google Site Reliability Engineering (SRE)

Advanced features that let you choose to automatically repair, upgrade and scale your entire cluster

Kubernetes Engine comes with a Service Level Agreement (SLA)

etcd “[Google Kubernetes Engine] gives us elasticity and scalable performance for our Kubernetes clusters. It’s fully supported and managed by Google, which makes it more attractive to us than elastic container services from other cloud providers” — Arya Asemanfar, Engineering Manager at Mixpanelthis form

Extending per second billing in Google Cloud

dimarts, 26 de setembre del 2017

By Paul Nash, Group Product Manager, Compute Engine
effective todaysustained use discountsPreemptible VMscustom machine typescommitted use discountssign up today and get $300 in free credits

Google Cloud Platform for data center professionals: what you need to know

dimarts, 3 de gener del 2017

Posted by Peter-Mark Verwoerd, Solutions Architect
low costsmachine learning offeringsSpotifyEvernoteGoogle Cloud Platform for Data Center ProfessionalsGoogle Cloud Platform—free trial

Introducing Pivotal Cloud Foundry on Google Cloud Platform

dimecres, 19 d’octubre del 2016

Posted by Jay Marshall, Principal Strategic AdvisorA new way for enterprises to capitalize on Google scale and innovationGoogle Cloud Platformbuild the most open cloudPivotalPivotal Cloud FoundryCloud Foundry

A differentiated Pivotal Cloud Foundry with Google

Cloud Foundry applications deployed on GCP utilize Google Cloud Load Balancing, which allows you to spin up from zero requests to millions automatically

Fast boot times on virtual machines for rapid scaling

Industry-leading price:performance ratio on cloud compute resources, including GCP-specific pricing features around per-minute billing, sustained use discounts and inferred usage discounts

custom-built service brokers

Google Cloud Vision API

Google Cloud Speech API

Google Cloud Natural Language API

Google Translate API

Customer collaboration - PCF and GCP in actionThe Home Depot Getting startedPivotal Cloud Foundry on Google Cloud Platform

What’s nextSpringcontact Sales

Six Google Cloud Platform features that can save you time and money

dijous, 15 de setembre del 2016

Posted by Greg Wilson, Head of Developer Advocacy, Google Cloud Platform
Google Cloud Platform
VM Rightsizing Recommendations—Google Compute EngineVM Rightsizing Recommendations

DocsGoogle Compute Engine VM Rightsizing Recommendations announcement
Cloud ShellGoogle Cloud Shell documentation

Google Cloud Shell overview
Google Cloud Shell documentation
Using Cloud Shell: YouTube demo
Google Cloud Shell GA announcement

Custom Machine Types

Compute Engine offers VMs in lots of different sizes, but when there’s not a perfect fit, you can create a custom machine type with exactly the number of cores and memory you need. Custom Machine Types has saved some customers as much as 50% over a standard-sized instance.

Google Custom Machine Types overview

Google Compute Engine Custom Machine Types documentation

Creating Custom Google Compute Engine Instances: YouTube Cloud Minute (YouTube video) Announcement

Preemptible VMs

For batch jobs and fault-tolerant workloads, preemptible VMs can cost up to 70% less than normal VMs. Preemptible VMs fill the spare capacity in our datacenters, but let us reclaim them as needed, helping us optimize our datacenter utilization. This allows the pricing to be highly affordable.

Preemptible VMs overview
Preemptible VMs docs
Preemptible VMs announcement
Preemptible VMs price drop Cloud SQL automatic storage increasesCloud SQL

Cloud SQL automatic storage increases documentation Online resizing of persistent disks without downtime Google Cloud Persistent Disks announcement
Google Cloud Persistent Disks documentation
Adding Persistent Disks: YouTube demo

As you can see, there are plenty of ways to save money and improve performance with GCP features. Have others? Let us know in the comments.

Preemptible VMs now up to 33% cheaper

dimarts, 9 d’agost del 2016

Posted by Michael Basilyan, Product Manager Preemptible VMslaunching Preemptible VMsGoogle Cloud PlatformGoogle Compute EngineCitadelrender moviesprocess satellite imagery,analyze genomic data

Add just a single flag (--preemptible) in the gcloud compute instances create command, or by using one of our libraries

Check a single box in the Developer Console create instance page

Launch a quick and easy-to-use Spark/Hadoop cluster with Cloud Dataproc

Autoscale Preemptible VMs with managed instance groups

Render a movie with Zync and choose Preemptible VMs, which is now also up to 15% cheaper!

Resources for Preemptible VMs come out of excess Google Cloud Platform capacity. The load on our Cloud Platform data centers varies with location and time of day, but is generally lowest on nights and weekends — the best time to run large Preemptible VM clusters.

We avoid preempting too many VMs from a single customer and, given the choice, preempt VMs that were launched most recently. This might be a bit frustrating at first, but in the long run, this strategy helps minimize lost work across your cluster. And because we don’t bill for VMs preempted in the first 10 minutes, it saves on costs too.

It’s a good idea to retry once or twice, even if you’ve been preempted early. Combining regular and Preemptible VMs in your clusters will ensure that tasks proceed at an adequate pace.

Manage shutdown and preemption notices with a shutdown script that saves a job’s progress so that it can pick up where it left off, rather than start over from scratch.

Preemptible VMsdocumentationCompute Engine pricing pagepricing calculatorGetting HelpemailTwitterFacebookG+

Save money, improve performance with new VM Rightsizing Recommendations

dijous, 28 de juliol del 2016

Posted by Pawel Siarkiewicz, Product Manager
Google Cloud PlatformdatacentersVM Rightsizing RecommendationsManaged Instance Group Autoscaler

The VM instances page shows instances where you can save money or increase performance as well as estimated savings per instance in total (click to enlarge)

here

What if you could run the same, everywhere?

dimarts, 26 de juliol del 2016

Posted by Miles Ward, Global Head of Solutions

So, how can you swing the power dynamic around so that you, as the consumer of infrastructure, get the most value out of your providers at the lowest cost? Open architectures started calling this approachthose for kubernetes

Links: AppScale, Kubernetes, Apache HBase, Druid, Apache Drill, Vitess, Apache Beam, TensorFlow, Minio.io, Spinnaker

Applications can run in containers on Kubernetes, the OSS container orchestrator that Google helped create, either managed and hosted by us via GKE, or on any provider, or both at the same time.

Kubernetes ensures that your containers aren’t locked in.

Web apps can run in a PaaS environment like AppScale, the OSS application management framework, either managed and hosted by us via Google AppEngine, or on any provider, or both at the same time. Importantly this includes the NoSQL transactional stores required by apps, either powered by AppScale, which uses Cassandra as a storage layer and vends the Google App Engine Datastore API to applications, or native in App Engine.

AppScale ensures that your apps aren’t locked in.

NoSQL k-v stores can run Apache HBase, the OSS NoSQL engine inspired by our Bigtable whitepaper, either managed and hosted by us via Cloud Bigtable, or on any other provider, or both at the same time.

HBase ensures that your NoSQL isn’t locked in.

OLAP systems can be run using Druid or Drill, two OSS OLAP engines inspired by Google’s Dremel system. These are very similar to BigQuery, and allow you to run on any infrastructure.

Druid and Drill ensure that your OLAP system isn’t locked in.

Advanced RDBMS can be built in Vitess, the OSS MySQL toolkit we helped create, either hosted by us inside Google Container Engine, or on any provider via Kubernetes, or both at the same time. You can also run MySQL fully managed on GCP via CloudSQL.

Vitess ensures that your relational database isn’t locked in.

Data orchestration can run in Apache Beam, the OSS ETL engine we helped create, either managed and hosted by us via Cloud Dataflow, or on any provider, or both at the same time.

Beam ensures that your data ETL isn’t locked in.

Machine Learning can be built in TensorFlow, the OSS ML toolkit we helped create, either managed and hosted by us via CloudML, or on any provider, or both at the same time.

TensorFlow ensures that your ML isn’t locked in.

Object storage can be built in Minio.io which vends the S3 API via OSS, either managed and hosted by us via GCS which also emulates the S3 API, or on any provider, or both at the same time.

Minio ensures that your object store isn’t locked in.

Continuous Deployment tooling can be delivered using Spinnaker, a project started by the Netflix|OSS team, either hosted by us via GKE, or on other providers, or both at the same time.

Spinnaker ensures that your CD tooling isn’t locked in.

What’s still proprietary, but probably OK? CDN, DNS, Load Balancing File SystemsGluster FS, Avere, ZFSTorus

If your data is in an object store, look no further than the Google Storage Transfer Service, an easy automated tool for moving your bits from A to G.

If you have data on tape or disk, take a look at the Offline Media Import/Export service. You might need to regularly move data to and from our cloud, so take a look at Google Cloud Interconnect for leveraging carriers or public peering points to connect reliably with us.

If you have VM images you’d like to move to cloud quickly we recommend Cloud Endure to move and transform your images for running on Google Compute Engine.