IntelliPay Integrations

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

Google Cloud CDN offers an efficient and dependable solution for delivering web and video content on a global scale. It utilizes global distribution via anycast IP, ensuring that edge caches are connected to nearly all major ISPs worldwide, thereby enhancing connectivity to a broader audience. By leveraging anycast architecture, your website benefits from a unified global IP address, which not only simplifies management but also guarantees consistent performance across the globe. The service is specifically optimized for last-mile efficiency, ensuring seamless delivery to end users. Furthermore, Google Cloud CDN is a perfect adjunct to Google Cloud’s high-performance private network, supporting advanced protocols like HTTP/2 and QUIC, which are designed to enhance site performance for mobile users and those in developing regions. Its seamless integration with Google Cloud enables comprehensive monitoring and logging capabilities. Cloud CDN provides immediate access to detailed latency metrics and raw HTTP request logs, facilitating in-depth analysis and insights. Additionally, these logs can be easily exported to Cloud Storage or BigQuery, making it simple to conduct further analysis with minimal effort. This comprehensive framework not only streamlines content delivery but also empowers organizations to make data-driven decisions based on user engagement.

Cloud AutoML represents a collection of machine learning tools that allow developers with minimal expertise in the field to create tailored models that meet their specific business requirements. This technology harnesses Google's advanced transfer learning and neural architecture search methodologies. By utilizing over a decade of exclusive research advancements from Google, Cloud AutoML enables your machine learning models to achieve enhanced accuracy and quicker performance. With its user-friendly graphical interface, you can effortlessly train, assess, refine, and launch models using your own data. In just a few minutes, you can develop a personalized machine learning model. Additionally, Google’s human labeling service offers a dedicated team to assist in annotating or refining your data labels, ensuring that your models are trained on top-notch data for optimal results. This combination of advanced technology and user support makes Cloud AutoML an accessible option for businesses looking to leverage machine learning.

Open core technology facilitates the integration of hybrid and multi-cloud environments. Built on the open-source initiative CDAP, Data Fusion guarantees portability of data pipelines for its users. The extensive compatibility of CDAP with both on-premises and public cloud services enables Cloud Data Fusion users to eliminate data silos and access previously unreachable insights. Additionally, its seamless integration with Google’s top-tier big data tools enhances the user experience. By leveraging Google Cloud, Data Fusion not only streamlines data security but also ensures that data is readily available for thorough analysis. Whether you are constructing a data lake utilizing Cloud Storage and Dataproc, transferring data into BigQuery for robust data warehousing, or transforming data for placement into a relational database like Cloud Spanner, the integration capabilities of Cloud Data Fusion promote swift and efficient development while allowing for rapid iteration. This comprehensive approach ultimately empowers businesses to derive greater value from their data assets.

Google Cloud Armor offers robust protection for your websites and applications from denial of service and web-based threats. This enterprise-grade solution features advanced DDoS defense, leveraging our expertise in safeguarding major internet platforms like Google Search, Gmail, and YouTube. It comes equipped with inherent safeguards against Layer 3 and Layer 4 DDoS attacks. Additionally, Cloud Armor addresses the OWASP Top 10 vulnerabilities, providing predefined rules to counter threats such as cross-site scripting (XSS) and SQL injection (SQLi). With the Managed Protection Plus tier, users gain access to a comprehensive suite of DDoS and WAF services, along with curated rule sets, all for a consistent monthly fee. The platform's design ensures that your digital assets remain secure, enabling you to focus on growth and innovation. This way, you can confidently handle traffic surges while minimizing the risk of attacks.

A completely serverless platform, Cloud Build dynamically adjusts its capacity to match the load, eliminating the need for pre-provisioning servers or making advance payments for extra capacity, allowing users to pay solely for what they consume. Enterprises benefit from the ability to incorporate custom build steps and pre-built extensions for third-party applications, seamlessly integrating legacy or custom tools into their build processes. To enhance security within the software supply chain, it offers vulnerability scanning and can automatically prevent the deployment of compromised images according to policies established by DevSecOps teams. The service's ability to scale up and down means that there is no infrastructure to manage, upgrade, or expand. Additionally, builds can be executed in a fully managed environment across various platforms, including Google Cloud, on-premises, other public clouds, or private networks. Users can also create portable images directly from the source without needing a Dockerfile, thanks to buildpacks. Support for Tekton pipelines running on Kubernetes further provides scalability and self-healing advantages inherent to Kubernetes, while maintaining flexibility and avoiding vendor lock-in. As a result, organizations can focus on their development processes without the burden of managing underlying infrastructure.

Achieving predictable cloud costs is essential for any business. Google Cloud's suite of cost management tools offers the visibility, accountability, control, and intelligence necessary for scaling confidently in the cloud. Designed to serve organizations of all sizes, these tools simplify complexity while enhancing the predictability of cloud expenditures. With increased visibility, organizations can harness the power of data to drive accountability and encourage responsible spending. Additionally, businesses can gain deeper insights into their cloud investments through flexible resource organization and precise cost allocation to departments and teams. By implementing robust financial governance and permissions, companies can effectively manage their expenses and minimize the risk of overspending, ensuring that only authorized personnel have the ability to make purchases and access financial information. This comprehensive approach ultimately empowers businesses to navigate their cloud journeys successfully while maintaining strict control over their budgets.

AutoML Translation allows you to develop tailored translation models that yield results tailored to your specific field. The pricing for using AutoML Translation is determined by the duration of training needed (expressed in hours) and the total number of characters submitted for translation. It can automatically identify and translate between different languages, and it offers integrated REST and gRPC APIs, supporting 50 different language pairs. With the ability to translate using customized models, Cloud AutoML empowers developers without extensive machine learning knowledge to create high-quality models that cater to their business requirements. You can swiftly construct your personalized machine learning model in just a few minutes. For instance, if you operate a financial reporting service and wish to expand into new international markets, you may require real-time translations of urgent financial documents. AutoML Translation is designed to streamline your translation processes efficiently, allowing you to scale quickly and gain access to new markets with ease, ensuring you stay competitive in a global economy.

BidClips enables home service teams to enhance their customer interactions. Our user-friendly quote builder and automated follow-up system simplify the process of impressing clients and expanding your business. Utilize our customizable form builder to gather essential details for each service you provide, incorporating visuals and measurements. Keep your clients engaged with timely email and text follow-ups that demonstrate your commitment, ultimately leading to increased business opportunities. Allow customers to accept, schedule, and make down payments on their estimates conveniently from their devices. Gain insights into your business's performance with real-time visualizations showcasing daily total jobs sold and average ticket prices. Enhance your sales-to-service pipeline by analyzing metrics such as bid-to-job closing ratios and the percentage of requests that receive estimates. Evaluate the effectiveness of your sales team and make strategic decisions regarding staffing and training to drive further growth. Additionally, with these tools, you can foster stronger relationships with your clients, ensuring they feel valued throughout their experience.

Google Cloud Bigtable provides a fully managed, scalable NoSQL data service that can handle large operational and analytical workloads. Cloud Bigtable is fast and performant. It's the storage engine that grows with your data, from your first gigabyte up to a petabyte-scale for low latency applications and high-throughput data analysis. Seamless scaling and replicating: You can start with one cluster node and scale up to hundreds of nodes to support peak demand. Replication adds high availability and workload isolation to live-serving apps. Integrated and simple: Fully managed service that easily integrates with big data tools such as Dataflow, Hadoop, and Dataproc. Development teams will find it easy to get started with the support for the open-source HBase API standard.

Experience dependable and robust DNS serving with minimal latency through Google's expansive global network. Leverage Google’s infrastructure to ensure production-grade, high-capacity authoritative DNS serving that meets your business needs. Users will benefit from consistent and swift access, no matter their location, by utilizing our anycast name servers. Cloud DNS is designed to accommodate a vast number of DNS zones and records, allowing for the reliable creation and modification of millions of DNS entries. Our name servers dynamically adjust to manage varying query loads effectively. Additionally, you can utilize Cloud Domains to register and oversee domains within Google Cloud, simplifying the process of automatically configuring DNS zones for your domains. This service not only enables seamless domain registration and management but also ensures tight integration with Cloud DNS for enhanced functionality. By employing Cloud DNS, you take advantage of our worldwide network of anycast name servers, which serve your DNS zones from multiple redundant sites globally, ensuring exceptional availability and reduced latency for all users while enhancing overall performance.

Enhance the security of your container environment on GCP, GKE, or Anthos, as containerization empowers development teams to accelerate their workflows, deploy applications effectively, and scale operations to unprecedented levels. With the growing number of containerized workloads in enterprises, it becomes essential to embed security measures at every phase of the build-and-deploy lifecycle. Infrastructure security entails that your container management platform is equipped with the necessary security functionalities. Kubernetes offers robust security features to safeguard your identities, secrets, and network communications, while Google Kubernetes Engine leverages native GCP capabilities—such as Cloud IAM, Cloud Audit Logging, and Virtual Private Clouds—as well as GKE-specific tools like application layer secrets encryption and workload identity to provide top-notch Google security for your workloads. Furthermore, ensuring the integrity of the software supply chain is critical, as it guarantees that container images are secure for deployment. This proactive approach ensures that your container images remain free of vulnerabilities and that the images you create are not tampered with, thereby maintaining the overall security of your applications. By investing in these security measures, organizations can confidently adopt containerization without compromising on safety.