Use Case Intelligence RSS Search use cases Search
AWS Software / SaaS global

VIVOTEK

Security and Compliance

VIVOTEK needed to launch a secure, scalable cloud surveillance platform quickly without spending time building custom camera-to-cloud infrastructure or diverting engineering effort away from new AI-powered features.

Read the original story Explore all use cases
12 months
80%+ of resources dedicated to innovation
saved a year in the development process

Reported impact

Business outcome

VIVOTEK launched VORTEX in 12 months, saved a year of development time by using AWS IoT Core, and shifted more than 80 percent of engineering resources toward innovation instead of infrastructure management.

  • Productivity Improvement
  • Scalability
  • Speed to Market

Solution

VIVOTEK launched its VORTEX video-surveillance-as-a-service platform on AWS to avoid building bespoke camera-to-cloud infrastructure and to speed delivery of a global, scalable surveillance offering. Security cameras connect through AWS IoT Core, which handles cloud onboarding and messaging from field devices. Application workloads then run on Amazon EC2 and Amazon EKS, while Amazon RDS and Amazon DynamoDB persist platform data and Amazon S3 stores cloud content. Amazon SNS supports notifications across the service. This multi-tier architecture let VIVOTEK bring full-stack web and mobile applications to market in 12 months while offloading infrastructure complexity to managed AWS services. With operations simplified, engineering could focus most of its effort on innovation and on advancing the AI-powered capabilities of the VORTEX surveillance platform.

Data flow

Security cameras connect through AWS IoT Core into the VORTEX cloud platform, where application services run on Amazon EC2 and Amazon EKS, state is persisted in Amazon RDS and Amazon DynamoDB, cloud content is stored in Amazon S3, and notifications are distributed through Amazon SNS.

Solution architecture

7 components · 4 layers
  1. Ingest
    • AWS IoT Core Connects security cameras to the cloud and removes the need for VIVOTEK to build its own camera-connection layer.
  2. Compute
    • Amazon EC2 Provides compute capacity for VORTEX application workloads.
    • Amazon EKS Runs containerized parts of the surveillance platform.
  3. Storage
    • Amazon RDS Stores relational platform data for the VORTEX service.
    • Amazon DynamoDB Stores scalable application data for the surveillance platform.
    • Amazon S3 Stores cloud content associated with the surveillance solution.
  4. Serving
    • Amazon SNS Handles notifications across the VORTEX service.

Architecture clues

  • Explicitly uses managed IoT services to avoid custom cloud-connection design work.
  • Runs full-stack web and mobile applications alongside camera connectivity.
  • Supports a hybrid video surveillance-as-a-service model.

Evidence from the source

More than 80 percent of our resources can go towards driving innovation because managing our infrastructure on AWS is so simple.
VORTEX used AWS services, including AWS IoT Core, to successfully launch VORTEX in 12 months.
We saved a year in the development process by using AWS IoT Core for the launch of VORTEX.
Transparency Evidence & methodology 100/100 reference value · 85% confidence · 2 sources

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    2 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence85%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability23/25
    11 of 12 key fields link to a named source.
  • Direct evidence15/20
    3 direct source quotes retained.
  • Date provenance8/10
    The publication date comes from publisher-controlled metadata.
  • Source transparency9/10
    2 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. AWS

    VIVOTEK customer story

    First-party
    https://aws.amazon.com/solutions/case-studies/case-study-vivotek/
    Source type
    Vendor-published customer story
    Published
    Apr 22, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date
  2. VIVOTEK

    Harnessing AI and Cloud Technology to Enhance Security and Strengthen Global Competitiveness

    First-party
    https://www.vivotek.com/en-US/news-center/news-room/corporate-25th-anniversary

    From a humble startup with fewer than 10 employees to a global enterprise with around 1,300 team members and a presence in over 100 countries.

    Source type
    Official company website
    Supports
    • Company size

Date evidence

Not separately sourced Industry, Region. Treat these normalized attributes as lower-confidence until a dedicated source is added.

Related

Similar use cases

See all like this
AWS Archived · Jun 16, 2026 WithSecure Software / SaaS Europe WithSecure's solutions make cybersecurity accessible for mid-market companies that might not have specialized knowledge or security operation centers. The Security Awareness Assistant analyzes complex data tables to provide a 7-day overview of the organization's… Security and Compliance Amazon Bedrock · Amazon Neptune AWS Jul 25, 2024 Elastic Software / SaaS Global Elastic aims to help customers find information faster while running their applications smoothly and protecting against cyberthreats. Operating from the premise that search functionality is fundamental to critical… Enterprise Knowledge SearchSecurity and Compliance Amazon Bedrock AWS Jan 17, 2024 Veriff Software / SaaS Estonia In today’s connected world, knowing who’s on the other side of a screen isn’t a luxury—it’s a requirement. Every online transaction, every new account sign-up, and every access request hinges on making sure that people… 1 second Fraud DetectionSecurity and Compliance Amazon Rekognition · Amazon SageMaker