List of Google Cloud Load Balancing Customers
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Since 2010, our global team of researchers has been studying Google Cloud Load Balancing customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Google Cloud Load Balancing for Content Delivery Network from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Google Cloud Load Balancing for Content Delivery Network include: Replit, a United States based Professional Services organisation with 150 employees and revenues of $20.0 million, Aztex Enterprises, a Canada based Manufacturing organisation with 85 employees and revenues of $8.0 million and many others.
Contact us if you need a completed and verified list of companies using Google Cloud Load Balancing, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Aztex Enterprises | Manufacturing | 85 | $8M | Canada | Google Cloud Load Balancing | Content Delivery Network | 2020 | n/a |
In 2020, Aztex Enterprises implemented Google Cloud Load Balancing to address application delivery needs within its Content Delivery Network strategy for the manufacturing business. The Google Cloud Load Balancing deployment was positioned to provide centralized traffic management for customer facing and internal web applications, aligning the company Application Google Cloud Load Balancing Content Delivery Network business function relationship with existing containerized operations.
The implementation focused on standard load balancing capabilities typical of the Content Delivery Network category, including global and regional traffic steering, health checks and backend service configuration, and SSL termination for secure application frontends. Configuration work reused infrastructure as code patterns, with Terraform templates codifying backend service definitions, health probes, and IP addressing for the load balancer.
Operational integration tied Google Cloud Load Balancing into Aztexs container and CI/CD stack, specifically Docker and Kubernetes clusters used for build, test and deploy, and Git and Bitbucket based source control workflows. Automation and orchestration leveraged custom Ansible modules for provisioning tasks and Terraform for repeatable provisioning, enabling the load balancer to be instantiated and updated through pipeline-driven deployments.
Governance and rollout were managed using existing agile tracking and work item processes, with Azure Boards used for change management and deployment tracking, while Infrastructure as Code and automation enforced configuration drift controls. The scope of the implementation covered Aztexs Canadian operations and the web application surface that supports manufacturing and promotional product workflows, establishing a repeatable infrastructure pattern for future CDN related services.
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Replit | Professional Services | 150 | $20M | United States | Google Cloud Load Balancing | Content Delivery Network | 2023 | n/a |
In 2023, Replit implemented Google Cloud Load Balancing as a central element of its Content Delivery Network to support a high-concurrency, collaborative cloud IDE for students and developers. The Google Cloud Load Balancing deployment is explicitly tied to Replit's platform scale goals, supporting about 1 million monthly active users and peaks of roughly 70,000 daily collaborators while enabling an execution environment that runs approximately 10,000 concurrent containers.
The implementation integrates Google Cloud Load Balancing with Compute Engine managed instance groups that autoscale on CPU thresholds, and Google Container Registry and Cloud Storage for Docker image storage and build pipelines. Replit uses Cloud Memorystore as a distributed, low latency Redis store to support container session state, Ansible to push deployments and create instance templates, and a proxy prefix mechanism to maintain persistent container links. The platform also relies on Cloud Storage signed URLs so the in browser IDE can read and write files directly, keeping file system synchronization responsive.
Operational integrations include BigQuery for event analytics and a Segment.com proxy to capture usage metrics across site components, and the Google Cloud command line interface for developer and student workflows. Replit evaluates container billing features that bring Cloud Functions style on demand billing to container workloads, enabling more granular cost control for hosted services. Google Cloud Load Balancing functions as the CDN layer that routes developer traffic, terminates TLS, and orchestrates capacity across the execution cluster.
Governance and process changes center on instrumenting CI CD pipelines and deployment automation, with Ansible and instance templates standardizing rollout patterns and autoscaling triggers. The signed URL model shifts file system governance to Cloud Storage access controls, reducing the need for proxying file traffic through application servers. Operational ownership resides with a small DevOps team focused on platform reliability, build and deploy pipelines, and instrumentation.
The deployment of Google Cloud Load Balancing enabled Replit to scale on demand, instantiate new instances based on CPU thresholds, and push and pull builds more securely within the Google network using Google Container Registry. Google Cloud Load Balancing, as implemented by Replit, is integral to the Content Delivery Network architecture that delivers the companys browser based REPL experience to both classrooms and commercial developers.
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