CoreLogic’s Cost Optimization Strategies on Google Cloud

The CoreLogic Application Platform Transformation

Over 25,000 business-critical application instances are run by CoreLogic, a leading provider of analytics, data-enabled solutions, and worldwide property information, on Google Cloud. It recently deployed a number of Google Cloud technologies, which increased operational efficiency by 30% and improved application performance and data accessibility for its business users. Continue reading to find out more.

In need of a contemporary, cost-efficient, and scalable application platform

With access to more than 5.5 billion property records spanning 50 years, CoreLogic’s property data supports real estate professionals, financial institutions, insurance carriers, governments, and other customers. Additionally, CoreLogic manages the aggregate tax payments of $152 billion for eight out of every ten escrowed homes in the United States.

The business runs more than 1,000 application ecosystems to support these and other processes. For the past few years, CoreLogic has operated these apps using paid Cloud Foundry software, mostly hosted within its on-premises data centers.

The deployment footprint for commercial Cloud Foundry was expanding quickly, which was increasing license and operating expenses as it’s business and data growth accelerated. Additionally, It expanded its infrastructure to meet the demands of its growing data processing requirements. CoreLogic started looking into alternative options for its application platform requirements as part of its dedication to innovation and leadership in the data industry.

Utilizing a cutting-edge application platform

CoreLogic chose Google Kubernetes Engine (GKE) as its platform of choice for container runtimes after weighing a number of cloud and on-premises hosting choices for its applications. CoreLogic updated these application ecosystems utilizing the GKE stack in close collaboration with Google Cloud.

The brand-new, Google Cloud-based modern application platform aids CoreLogic in meeting client commercial requires. It is able to offer customers the high-quality data and analytics they need to make wise decisions thanks to the platform’s dependability, resilience, and scalability. Here are a few illustrations of CoreLogic’s top analytics products developed on the platform:

• Discovery Platform is a property analytics platform that enables companies, particularly those in CoreLogic’s core industries of real estate and property, mortgage lenders, marketers, and insurance companies, to find, integrate, analyze, and model property facts to make crucial business choices more quickly.
• Climate Risk Analytics is a tool developed to assist businesses and government organizations in measuring, modeling, and mitigating the physical hazards that climate change poses to the real estate sector.
• Total Home ValueXTM (THVx), a cutting-edge automated valuation model from CoreLogic, is a fresh method of valuing real estate. Due to THV’s high accuracy and dependability, CoreLogic is able to produce evaluations more quickly and give customers the confidence they need to make strategic business decisions.

In summary, the move to Google Cloud goes beyond a matter of need and better coincides with CoreLogic’s broader aim of adopting industry standards like Kubernetes and investing in cutting-edge technology.

A 30% increase in cost and operational effectiveness

Through this solution, CoreLogic experienced considerable cost and operational efficiency advantages. The company not only completely eliminated all commercial Cloud Foundry licensing costs, but it also continued to save money thanks to cost-saving features like committed use discounts for Google Cloud infrastructure.

• In order to achieve operational benefits through infinite scale and optimization, CoreLogic activated a number of platform features as part of their migration to Google Cloud:
• The platform manages tens of terabytes of application data and handles tens of thousands of requests per second. Application containers automatically scale out and back in, reacting fast to any application transaction spikes, thanks in large part to GKE auto-scaling.
• To fine-tune infrastructure solutions suited to certain workloads, CoreLogic leverages GKE node pools. For such workload distribution and scale out, CoreLogic’s Google Cloud infrastructure is significantly more suitable.

The Google Site Reliability Engineers (SRE) and their reliability best practices support GKE’s fully managed control plane. As a result, there will be less operational work and greater productivity. The Cloud Foundry control plane and data plane are no longer self-managed by CoreLogic teams, freeing them to focus on other important tasks. As a result of these adjustments, the business is able to recruit and keep more effective development and technical expertise to run GKE on Google Cloud.

CoreLogic also embraced GKE Workload Identity, enabling application workloads to access Google Cloud Services without managing Identity and Access Management (IAM) service accounts.

Increasing application performance and availability

Because CoreLogic’s customers depend on its apps to help them make crucial decisions, the platform’s uptime is crucial to the company’s success in the data and analytics sector. High reliability, fewer human errors, and less company disruption are all made possible by automation and managed Google Cloud services.

• Using built-in GKE capabilities, such as regional GKE clusters that remain fault tolerant even during total zonal outages, CoreLogic realizes service dependability aspects such as high availability and high performance. Additionally, GKE’s rolling updates and node auto-repair capabilities enable zero-downtime software upgrades.
• In order to improve auditability and drift management for better operational governance, CoreLogic defines application environments as data and makes use of Anthos’ configuration and policy management functionalities.
• To achieve complete observability of its application services, CoreLogic utilizes Anthos Service Mesh traffic management and telemetry. The platform team has consolidated, real-time insight across all of its application estate. Platform administrators are now given the authority to configure, troubleshoot, and improve apps using real-time information.

To the advantage of its customers, CoreLogic is able to monitor the effectiveness of its service requests, identify slow-moving services, and take proactive measures to eliminate them.

What comes after that?

By utilizing the numerous present and forthcoming Google Cloud services and processes, CoreLogic has a significant potential to build on the foundation of the next-generation GKE application platform. The business might take into account a zero-ops strategy, automating a large portion of infrastructure administration with Google Cloud serverless technologies. Additionally, the company might profit from new insights generated by machine learning and data analytics on the Google Cloud. CoreLogic is well-positioned to develop richer apps and provide more value to its clients by investigating other Google Cloud services like AI and ML.

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