DoiT International
5201 Great America Parkway, Suite 320,
Santa Clara, 95054, CA,
United States
Santa Clara, 95054, CA,
United States
1 408-831-3500
Professional Services
DoiT International
List of Software Implementations where DoiT International is Reseller or System Integrator
DoiT International, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. DoiT International collaboration with software players such as Google, Amazon Web Services (AWS) and empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
DoiT International is a Reseller or SI for the following software solutions:
| Reseller and SI | Vendor | Application | Category | Market |
|---|---|---|---|---|
| DoiT International | Amazon Web Services (AWS) | Amazon Redshift | Data Warehouse | Analytics and BI |
| DoiT International | Google BigQuery | Data Warehouse | Analytics and BI | |
| DoiT International | Google Cloud Dataflow | Application Hosting and Computing Services | IaaS | |
| DoiT International | Google Kubernetes Engine | Container Service | IaaS | |
| DoiT International | Google Cloud Composer | Extract, Transform, and Load (ETL) | PaaS | |
| DoiT International | Google Cloud Dataproc | Analytics and BI | Analytics and BI | |
| DoiT International | Google Cloud Endpoints | API Management | PaaS |
List of Software Implementations where DoiT International is a Reseller or SI
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
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Lightricks | Professional Services | 650 | $150M | Israel | Google Kubernetes Engine | Container Service | 2022 |
In 2022 Lightricks deployed Google Kubernetes Engine as its primary Container Service to build a containerized infrastructure that supports machine learning workloads and backend services for its content creation apps. The Google Kubernetes Engine implementation was provisioned in weeks and tied directly to analytics pipelines that ingest around a billion events per day, enabling business intelligence, product optimization, marketing analytics, and recommendation engineering to operate at scale. The project explicitly served developer, data science, and DevOps functions and aimed to preserve user experience while increasing data throughput and compute availability.
The deployment combined Google Kubernetes Engine with BigQuery and Dataflow to automate high‑volume event ingest and near real time analytics, allowing scheduled queries to be prepared minutes before events are registered and sent. Engineers built Docker image pipelines and cluster deployment automation on Google Kubernetes Engine, while continuing to run machine learning training on Compute Engine and progressively migrating models to Vertex AI managed services. The architecture emphasized separation of storage and compute so that BigQuery handled analytics scale and GKE delivered on-demand compute for inference and backend services.
Integrations included BigQuery and Dataflow as the core ingestion and analytics stack, Compute Engine for existing model training, Vertex AI for planned managed model serving, and third-party services such as Cloudinary and Elasticsearch that are securely proxied off the private network. DoiT International assisted with synchronizing data lakes and on-premises compute to cloud clusters, and provided ongoing architecture and operational support for attaching GKE clusters to the companys machine learning systems. Network and security controls were configured to forward traffic to third-party services without exposing internal services to the public Internet.
Governance and rollout were executed with a small engineering and DevOps team, delivering a working Kubernetes infrastructure in weeks with DoiT International support, and moving operational focus away from cluster maintenance toward delivering product features. Outcomes stated by Lightricks include consistent compute availability whenever needed, cost effective operations with fewer personnel spent on cluster configuration, and the ability to process vast amounts of analytics data without inhibiting the user experience. The work on Google Kubernetes Engine underpins Lightricks plans for 2022 to expand backend services such as shared profiles and media upload, while scaling data science and recommendation systems.
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Lightricks | Professional Services | 650 | $150M | Israel | Google Cloud Dataflow | Application Hosting and Computing Services | 2022 |
In 2022, Lightricks deployed Google Cloud Dataflow as part of a broader Google Cloud implementation categorized under Application Hosting and Computing Services, using Dataflow together with BigQuery to support high throughput analytics and streaming ingestion. The implementation is explicitly positioned to serve business intelligence, data science, developers, and product teams, and to handle the mobile user behavior telemetry that drives product optimization and recommendation engines.
The technical implementation centered on Google Cloud Dataflow pipelines that automate the ingest and analysis of thousands of events per second, enabling ingestion rates reported at around 10,000 events per second or roughly a billion events per day. BigQuery was used to separate storage from compute, allowing scheduled queries to be prepared minutes before events are registered and making compute resources available on demand. Containerized infrastructure was established on Google Kubernetes Engine in a matter of weeks, and machine learning workloads ran on Compute Engine while a staged migration to Vertex AI was underway to move models to managed services for faster scaling.
Integrations were implemented with BigQuery, Google Kubernetes Engine, Compute Engine, Vertex AI, and external services including Cloudinary and Elasticsearch, with secure traffic forwarding mechanisms that avoid exposure to the public Internet. Lightricks worked with DoiT International on architecture and operational support, including synchronizing on-premises compute and research data lakes with cloud clusters to support model training and inference. Operational coverage included marketing analytics, product optimization, recommendation engine teams, and centralized data platform functions.
The rollout emphasized operational simplicity and governance, reducing infrastructure maintenance overhead so a small engineering and DevOps team could provision clusters and pipelines rapidly. Autoscale in Dataflow removed previous ingestion limits and prevented data blocking, while GKE reduced cluster configuration and upgrade effort and was cited as cost effective for Lightricks workloads. The implementation is described as enabling large scale event processing and machine learning experimentation without inhibiting user experience, and as supporting planned 2022 backend initiatives such as shared profiles and media upload services.
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Lightricks | Professional Services | 650 | $150M | Israel | Google BigQuery | Data Warehouse | 2020 |
In 2020, Lightricks implemented Google BigQuery as its Data Warehouse to centralize analytics workloads and provide a single source for queryable datasets. The rollout was supported by DoiT International and deployed on Google Cloud Platform, with Google BigQuery configured to serve enterprise SQL analytics and dataset management. Data analysts were primary users, authoring complex queries and surfacing answers for division level decision making.
The implementation covered schema design, ingestion pipelines, and analytic dataset modeling to support KPI tracking and ad hoc analysis. Google BigQuery was configured to host partitioned and optimized datasets for performant querying and scheduled analytical jobs. Analysts connected Tableau to Google BigQuery to design informative dashboards and to operationalize KPI reports across business units.
Operational coverage centered on analytics and business intelligence functions across Lightricks in Israel, supporting division discussions and the breakdown of major business issues into measurable KPIs. The deployment emphasized query governance, dataset naming conventions, and role based access controls using Google Cloud IAM to manage analyst and consumer permissions. Data analysts translated business needs into SQL artifacts and published dashboards to standardize reporting workflows.
Governance and process changes formalized KPI definitions, query review processes, and dashboard publishing standards to improve consistency of analytical outputs. DoiT International provided implementation guidance for cloud configuration and operational practices to stabilize the environment. Google BigQuery functions as the central Data Warehouse for Lightricks analytics and dashboarding.
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Professional Services | 3 | $1M | United Kingdom | Google Cloud Composer | Extract, Transform, and Load (ETL) | 2020 |
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Professional Services | 650 | $150M | Israel | Amazon Web Services (AWS) | Amazon Redshift | Data Warehouse | 2019 |
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Banking and Financial Services | 230 | $60M | United Kingdom | Google Cloud Endpoints | API Management | 2019 |
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Professional Services | 1016 | $1.0B | United States | Google Cloud Dataproc | Analytics and BI | 2017 |
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IT Decision Makers and Key Stakeholders at DoiT International
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Buyer Intent: Companies Evaluating DoiT International Services
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating DoiT International software implementations. Gain ongoing access to real-time prospects and uncover hidden opportunities.
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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DoiT International System Integrator / VAR Profile
DoiT International is a system integrator and technology consulting firm headquartered in Santa Clara, United States, with approximately 550 employees and annual revenues of $50M.
DoiT International implements and supports enterprise applications across markets such as IaaS, Analytics and BI and PaaS.
APPS RUN THE WORLD tracks 7 verified DoiT International software implementations across industries and regions, including: Lightricks where DoiT International implemented Google Kubernetes Engine, Lightricks where DoiT International implemented Google Cloud Dataflow, and Lightricks where DoiT International implemented Google BigQuery.
DoiT International has a strategic VAR/SI partnership with Google and Amazon Web Services (AWS), backed by verified deployments.
Independent Software Vendors (ISVs) can boost their ecosystem by identifying existing DoiT International partnerships, building strong channel relationships, and forging strategic implementation alliances to expand customer reach and accelerate adoption.
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