8/23/2020 Pivotal Case Study |

Pivotal: Using Google Cloud to accelerate R&D for its cloud-native platform

About Pivotal reAsubltos:ut Pivotal

Pivotal's cloud-native platform drives software Pivotal saves up to 30% when usingP VivMosta tlh'sa ct lrouund-native platform drives innovation for many of the world's most admired for a month software innovation for many of the brands. With millions of developers in Pivotal saves up to 80% via preempwtibolreld V'sM mso wsth aednmired brands. With millions communities around the world, Pivotal running applications that can handleo fV dMev reelsotpaerrts in communities around the technology touches billions of users every day. world, Pivotal technology touches billions (e.g. build pipelines, transient worklAofatedrs s,h eatpci.n)g the software development culture of users every day. After shaping the Pivotal's cloud infrastructure costs aocf rSoiliscso nth Veailrley's most valuable companies for software development culture of Silicon migrated workloads have been cut bovye 4r 0a %decade, Pivotal is expanding worldwide to Valley's most valuable companies for over Pivotal engineers are more producttirvaen sfionrcme how the world builds software. a decade, Pivotal is expanding worldwide moving to GCP due to the speed and reliability of to transform how the world builds the platform Industries: Technology software.

Pivotal Software set itself a grand goalL: tooc taratinosnf:o Urmnited States the way the world builds software. The Icnodmupsatrniye sa:i mTeschnology to achieve this by giving its customers tools to more easily run cloud-native apps. To this enLdo, Pciavtoitoanl : United States

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Products: Compute Engine (https://pivotal.io/) offers Pivotal CloudC Fomoupnudter yE,n agnine (https://cloud.google.com/compute/), Cloud integrated platform that simplies ho w(h tbtipgs :c//ocmloupda.ngoieosgle.com/compute/) Load Balancing build, deploy, and operate applications. The result— Cl o(hutdt pLso:a//dc lBoaulda.ngcoiongle.com/load-balancing/), improved operational eciency, higher developer (hBtitgpQs:u//ecrlyo (uhdt.tgposo:/g/clelo.cuodm.g/olooagdle-b.caolamn/cbiniggq/u)ery/), productivity, and reduced operating cosCtslo.u Md oStsotrage importantly, Pivotal Cloud Foundry givBei g(shQ ctutopemsry:/ p/(chaltontupiedss:./g /aocloogulde.cgomog/lset.ocroamg/eb/)ig, qCuloeuryd/ S)QL platform to deliver better products faste (rh. tMtpas:n//yc loofu dth.geoogle.com/sql/), Cloud Spanner (https://cloud.google.com/storage/) biggest companies in the world (https://cloud.google.com/spanner/), Cloud Pub/Sub (https://cloud.google.com/pubsub/), (https://pivotal.io/customers) use PivotaCl loCulodu SdQ LF o(hutntpdsr:y//cloud.google.com/sql/) Cloud Vision API in concert with multiple cloud platforms for storage Cl o(hutdt pSsp:a//ncnloeurd (.hgtotposg:l/e/.ccloumd/.vgiosioognl/e).c, Comlou/sdpanner/) and other services. Speech to Text Cloud Pub/Sub (https://cloud.google.com/pubsub/) (https://cloud.google.com/speech/), Cloud From the outset, Pivotal built Cloud Foundry to run ClNouadtu Vraisl iLoann AgPuIa (ghett ApPs:I//cloud.google.com/vision/) across multiple cloud providers. And of (chottuprss:/e/,c ilot uhda.sgoogle.com/natural-language/), long used public cloud services as theC lfCooluoudun dSd pTaerteaiconhsn lt afoto iTorenx At PI its own software development. After s (eh v(thetptrtasp:l/s /y:c/e/localuordsu.,dg.ogoogolge.lec.ocmom/s/pteraecnhs/la)te/) Pivotal saw its cloud expenses soaring and needed a Cloud Natural Language API lower-cost and more exible solution. (Thhttep sc:o//mclopuadn.gyoogle.com/natural-language/) switched to Google Cloud Platform Cloud Translation API (https://cloud.google.com/) because it was less (https://cloud.google.com/translate/) expensive, offered better performance, and scaled more quickly.

"We tell our customers that they can port their development platform on Pivotal Cloud Foundry to a low-cost, high- performing cloud service. It's important for us to follow the same advice we give our customers, and so for our development work we switched to the best provider for us: Google Cloud Platform," says Mike Dalessio, Vice President, Engineering, Pivotal.

Testing Pivotal Cloud Foundry at massive scale

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The company's internal Pivotal Cloud Foundry environments run on Compute Engine (https://cloud.google.com/compute/). So does the rm's development and testing infrastructure and its ongoing research and development. With Compute Engine, Pivotal can quickly scale to meet the elastic demands of its R&D iterations because of the speed with which virtual machines (VMs) can be provisioned. Pivotal also saves on costs, because as usage increases, the cost per VM goes down, thanks to Google Cloud Platform's sustained use discount pricing model (https://cloud.google.com/pricing/).

Pivotal rolls out new versions of Pivotal Cloud Foundry by using a well-designed continuous integration pipeline that runs quality checks. This ensures that only rigorously tested software makes its way to customers. Concourse, an open source CI framework running on Compute Engine, drives this process. The company also uses Compute Engine to stress test Pivotal Cloud Foundry, at one point even using GCP to deploy and maintain 250,000 production application containers (https://content.pivotal.io/blog/250k-containers-in- production-a-real-test-for-the-real-world) to ensure Pivotal Cloud Foundry could scale to meet any load.

"Google Cloud Platform was the ideal choice for our intensive benchmark testing of 250,000 application containers. It scaled up without any pre-planning required on the part of Google Cloud Platform because of its extremely fast VM provisioning times. Because of Google Cloud Platform's high performance,

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it stood up to the massive load without any problems," says Dalessio.

Big benets for Pivotal's engineers —and its customers

Pivotal engineers say they are more productive with GCP. Cloud infrastructure costs have been reduced by 40 percent since Pivotal moved to GCP, Dalessio says. Speed has increased as well. With the previous cloud provider, it took several minutes to create a new VM. With GCP, it takes seconds.

GCP's benets go beyond helping Pivotal engineers create, maintain, and test its platform; they also accrue to Pivotal customers. Google engineers worked with Pivotal to bring GCP's key data and analytics services to Pivotal customers by writing a Cloud Foundry service broker (https://network.pivotal.io/products/gcp-service-broker) for Google Cloud Platform. With this service broker, customers can use a full range of GCP services on Pivotal Cloud Foundry, including BigQuery (https://cloud.google.com/bigquery/), Cloud Storage (https://cloud.google.com/storage/), Cloud SQL (https://cloud.google.com/sql/), Cloud Pub/Sub (https://cloud.google.com/pubsub/), Cloud Spanner (https://cloud.google.com/spanner/), Vision AI (https://cloud.google.com/vision/), Cloud Speech-to-Text (https://cloud.google.com/speech/), Cloud Natural Language (https://cloud.google.com/natural-language/) and Cloud Translation

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(https://cloud.google.com/translate/). All those services can be added to new apps easily.

The relationship has been so successful that Pivotal was recently named the Google Cloud Technology Partner of the Year for 2016 (https://content.pivotal.io/announcements/pivotal- recognized-as-2016-google-cloud-technology-partner-of-the- year) .

"With Google Cloud Platform, we're giving our customers easy access to the full suite of sophisticated GCP services such as machine learning, something that would otherwise be dicult for them to do. It lets them quickly use powerful data service seamlessly on the platform," says Dalessio.

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