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Google > Case Studies > Lightricks: Creating and Scaling State-of-the-Art Content Creation Tools with Google Cloud

Lightricks: Creating and Scaling State-of-the-Art Content Creation Tools with Google Cloud

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Customer Company Size
Mid-size Company
Region
  • Middle East
Country
  • Israel
Product
  • Facetune2
  • Videoleap
  • Photoleap
  • Google Kubernetes Engine
  • BigQuery
Tech Stack
  • Google Cloud
  • Dataflow
  • Kubernetes
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Digital Expertise
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Machine Learning
  • Platform as a Service (PaaS) - Connectivity Platforms
  • Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
  • Software
Applicable Functions
  • Product Research & Development
  • Business Operation
Use Cases
  • Machine Condition Monitoring
  • Predictive Maintenance
  • Remote Asset Management
Services
  • Cloud Planning, Design & Implementation Services
  • System Integration
About The Customer
Lightricks is a technology company based in Israel that specializes in creating content creation tools. Its flagship products include Facetune2, Videoleap, and Photoleap, which have been downloaded over 500 million times globally. The company has over five million paying subscribers worldwide. Lightricks aims to provide intuitive content-editing tools for professional video makers, graphic designers, and web builders. Since its launch in 2013, the company has rapidly grown and established a significant market presence. Lightricks is committed to enhancing user experiences by leveraging powerful technology and has been on a mission to bring state-of-the-art content-editing tools to its users.
The Challenge
Lightricks faced challenges in processing vast amounts of data without inhibiting the user experience. The company initially relied on a hybrid of cloud services and on-premises infrastructure for GPU usage, which struggled to meet the growing demand and support increasingly complex machine learning and analytics needs. The original system often faced issues with data blockage due to reaching its limits, and there was no separation between storage and compute, leading to problems at inopportune times. These challenges hindered the company's ability to scale and deliver business value efficiently.
The Solution
To address its challenges, Lightricks decided to leverage Google Cloud's capabilities. The company utilized BigQuery and Dataflow to automate the ingestion and analysis of large volumes of data, allowing for the processing of thousands of events per second. This solution enabled Lightricks to handle around a billion events a day without impacting the user experience. Additionally, Lightricks adopted Google Kubernetes Engine (GKE) to develop a containerized infrastructure, which was achieved in just a few weeks with a small team. This transition allowed the company to separate storage and compute, reducing friction and enabling developers to focus on delivering business value. Lightricks also enhanced its machine learning capabilities by utilizing Google Cloud's compute resources, which provided better availability and scalability. The company worked with tech consultancy DoiT International to support its machine learning program and ensure seamless integration with its existing systems. Lightricks is gradually migrating its machine learning models to managed services on Vertex AI to further scale its models and optimize user interactions.
Operational Impact
  • Lightricks successfully transitioned to Google Cloud, enabling it to process vast amounts of data without impacting the user experience.
  • The company developed a containerized infrastructure on Google Kubernetes Engine, allowing for better separation of storage and compute.
  • Lightricks enhanced its machine learning capabilities by utilizing Google Cloud's compute resources, providing better availability and scalability.
  • The company worked with tech consultancy DoiT International to support its machine learning program and ensure seamless integration with existing systems.
  • Lightricks is gradually migrating its machine learning models to managed services on Vertex AI to further scale its models and optimize user interactions.
Quantitative Benefit
  • Ingesting around a billion events a day with BigQuery and Dataflow.
  • Developing a working containerized infrastructure on Google Kubernetes Engine in weeks.
  • Ingesting around 10,000 events per second.

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