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A Major TV Broadcaster Builds a New OTT Platform to Target a New B2B Market Segment

Case Study

A Major TV Broadcaster Builds a New OTT Platform to Target a New B2B Market Segment

The new global content delivery solution achieves 100% delivery accuracy on time and within budget.​


Operating in North and Latin America, the client is a Forbes 500 digital entertainment service provider. The enterprise needed a forward-looking product that still maintained backwards compatibility for their existing commercial customers to target new markets and audiences. The next-generation platform had to enable the client to reach its business goals and easily integrate with other platforms and systems.​


The client’s legacy platform lacked modern features that would enable true Over-the-Top (OTT) capabilities, Video-on-Demand (VOD) services, and local content insertion. As part of this modernization effort, the client needed to enable programmable content apps for seamless integration with other OTT content providers.​


The client wanted Ness to build, deploy, scale, and support its new global content delivery solution for linear and OTT platforms to maintain its competitive edge. The platform was built on a scalable infrastructure, leveraging AWS services, including EKS, ALB, RDS, Redis, WAF, Elasticsearch, S3, EC2, Lambda, AWS Inspector, AWS SSM, CloudWatch, and ECR. It enabled end-to-end ownership of the cloud environments (from development through production, deployment, support, and ongoing optimization) and utilized a well-architected AWS framework for operations.​


Ness’s solution reached the Minimum Viable Product (MVP) status rapidly, meeting the client’s ambitious target to officially launch the platform during a key industry event in North America. We executed the initial POC in under three months and the first MVP release to production in 10 months. It is currently deployed in more than 300 properties, running on more than 27000 devices, showing continued growth. The client achieved 100% delivery accuracy on time and within budget.​

A Smart Public Transportation Provider Adds Device Monitoring and Telemetry for Transit Systems to Improve Device Visibility​

Case Study

A Smart Public Transportation Provider Adds Device Monitoring and Telemetry for Transit Systems to Improve Device Visibility​

The cloud-native Device Monitoring and Telemetry solution proactively addresses technical issues and reduces operating costs.​


As one of the world’s biggest players in the smart public transportation space, this UK-based company provides innovative solutions for automatic fare collection, transit information, and transit analytics. Their software technology is deployed in major cities globally, processing over five billion transactions each year.


To increase visibility into its deployed devices, the company wanted help to implement a robust, cloud-native monitoring solution to oversee the status and collect telemetry data for more than ten thousand devices deployed for their major metro transit system in less than six months.


After extensive market research, Ness worked with the client to recommend and enable a digital transformation solution using the open-source ThingsBoard platform. ThingsBoard is a device management, data collection, processing, and visualization platform that supports the provisioning and management of devices to collect and store telemetry data. The platform provides a framework for creating powerful dashboards for data visualization. Ness was able to prototype and validate an IoT dashboard for the company that implemented multi-tenant distribution and device monitoring.


With this innovative system in place, Ness achieved the transit company’s goals within three months. The new multitenant system reduced their operating costs significantly, increased visibility into the deployed devices, and proactively addressed issues before they could become a major problem.

A Smart Public Transportation Provider Implements e-Wallets for Transit Payments to Improve Customer Experience ​

Case Study

A Smart Public Transportation Provider Implements e-Wallets for Transit Payments to Improve Customer Experience ​

The solution increases efficiency and revenue through innovative digital transformation.​


The client provides innovative solutions for automatic fare collection, transit information, and transit analytics. As one of the world’s largest suppliers of smart public transportation systems, their software technology is deployed in major cities all around the globe, processing over five billion transactions annually.


The transit company needed help transforming their transit system to build a next-generation fare collection system using microservices architecture and AWS. Ultimately, they wanted to integrate their cashless payment platform with one of the largest social networks in Asia that would allow riders to pay for travel using an e-wallet quickly.


Ness delivered a cloud-native, event-driven, highly scalable, and high-performance microservices-based solution to solve the challenge of integrating a cashless payment platform into their transit system. The implementation used a highly resilient architecture, leveraging failover and executed auto-scaling mechanisms already available in the platform. Ness equipped the operations team to handle and respond to any system issues before they turned passenger-facing, which was accomplished through infrastructure monitoring and alarming and leveraging CloudWatch and StatsD metrics.


With this new cutting-edge system in place, 800,000 passengers could take 400,000 rides every day. Ness helped the transit company bring in more revenue while increasing efficiency for passengers that take more than 1.5 billion rides each year.

A US-based Communications Software and Network Solutions Provider Implements a Cloud-native ML-based Network Traffic Classifier

Case Study

A US-based Communications Software and Network Solutions Provider Implements a Cloud-native ML-based Network Traffic Classifier

The solution enables end-users to prioritize traffic dynamically and ensure optimal network usage.​


With its Session Border Controllers (SBC) used in the world’s largest telcos data centers, the client is a US-based provider of Communications Software and Network Solutions. SBC is the client’s special-purpose device that protects and regulates IP communications flows. The SBC market is currently witnessing technology upgrades and rolling out features rapidly.


The client had more than 100,000 devices installed in its data centers and branch offices. As a differentiator, the client wanted a network classifier that could display the bandwidth of the apps. The current solution was Deep Packet Inspection (DPI), an advanced method to examine and manage network traffic by analyzing traffic data, adding an extra level of complexity to the solution with a need to analyze the Layer-7 data. However, DPI applied at the Open Systems Interconnection’s application layer was not the most optimized and effective for achieving a network classifier solution.


Ness worked with the client’s business and R&D teams to lay out a Network traffic classification solution to reduce the device cost (not exceeding 5% of the appliance cost) and an easy-to-use interface for large MSPs, like AT&T and Comcast to configure, monitor, and analyze the network traffic. ​

Ness used its knowledge of SBC platform engineering and ML to recommend a cloud-based solution over DPI. The solution collected the periodically received device-level data, prepared the data for analysis, trained the model based on data, generated a prediction model, and deployed the model on devices.


By using ML, the client saved more than $900,000. The Edge solution (patent # USPTO#11140068) was able to integrate with analytics on the cloud without specific updates and dynamically influence business policies for bandwidth provisioning, security, and blocking and unblocking apps. End-users were able to prioritize traffic dynamically and ensure optimal network usage.​

A Leading Managed Detection Response Provider Builds a Winning Endpoint Protection Solution to Safeguard Against Cyber Threats

Case Study

A Leading Managed Detection Response Provider Builds a Winning Endpoint Protection Solution to Safeguard Against Cyber Threats

The solution recognizes new threats faster and identifies malicious techniques and ransomware in real time.


The client is an industry-leading MDR provider, offering end customers remotely delivered Modern Security Operations Center (MSOC) functions.


The client wanted to build a best-of-breed endpoint protection solution that could run on Windows and macOS endpoints to collect relevant logs, data, and contextual information, which could thwart cyber-attacks via multi-vector attack monitoring and isolation solution. The telemetry also needed to be open to analysis within the client’s platform using various techniques and investigation by experts skilled in threat hunting and incident management.


Ness undertook the end-to-end engineering ownership of the SaaS solution and agents and engaged with the client to identify the solution’s capabilities concerning endpoint security and active blocking, including file-based and file-less attacks and trigger blocking. ​

The solution detected security incidents at the endpoint through continuous endpoint monitoring and sending telemetry data to a central database. Incident containment allowed automated response based on predefined actions to prevent lateral movement within the network. Ness built a SaaS-based console for the incident investigation that laid out the contextual information received from endpoints for further analysis by the threat intelligence team.


The solution accelerated the development lifecycle using security programming best practices, driving R&D savings of more than $1 million. Designed to be fast with low overhead (1% CPU utilization), it recognizes new threats faster as it is signature-less and identifies malicious techniques and ransomware in real time.

A Global Leader in Enterprise Data Protection Delivers a Modernized and Secure Backup Solution for On-prem, Hybrid, and Cloud Environments

Case Study

A Global Leader in Enterprise Data Protection Delivers a Modernized and Secure Backup Solution for On-prem, Hybrid, and Cloud Environments

The solution eliminates performance impacts while implementing new backup services.


A consistent leader in the Gartner® MQ for Enterprise Backup and Recovery Software Solutions, the client is a global leader in data protection software.


The client partnered with Ness to engineer their flagship backup product—their largest revenue earner, used by more than 87,000 customers and 87% of the Fortune 500 companies—to carry out their data protection and backup tasks. The product is pervasive across the enterprise and is relied on for backup and recovery of on-prem software and hybrid and multi-cloud environments.​

The client wanted to transform the way security was applied to the product. In the current design, all backup services were required to run under superuser privileges (root) to undertake operations across master servers, media servers, and attached clients. Since the client backs up some of the world’s most critical data, there was a need to re-architect the backup to perform as a non-privileged account (non-root) to ensure limited exposure in the case of a system compromise.


Ness built a feature delivery schedule to balance complexity versus business needs. The Ness team worked with the client to understand their specific nuances, followed by a design phase to create a POC for complex services. ​

The project converted Primary Server Daemons, followed by Media Servers and Client Daemons. With change propagation to the Command Line Interfaces and UI used by the product, the solution supported various form factors and back-level media/clients running services under the root. Ness used its storage domain to fast-track the development of automation test cases across Windows and Unix environments.


The client delivered the changes with no performance impact while implementing new backup services. The codebase was compliant with strict acceptance standards and passed stringent hardening tests. Additionally, the client provided a vital feature for their customers in sensitive sectors and continues to have product leadership.

Michelin Connected Fleet Ensures Accurate Fleet Management Inside ULEZs to Reduce Operating Costs


Case Study

Michelin Connected Fleet Ensures Accurate Fleet Management Inside ULEZs to Reduce Operating Costs

The solution improves route matching accuracy, especially in predefined zones.


With a commitment to best-in-class fleet management for its customers, Michelin Connected Fleet leverages the latest platforms and technology to add new features constantly. ​
The company, a division of Michelin, was using connected solutions (like Masternaut) to improve fleet management of heavy and light commercial vehicles, semi-trailers, and vans to optimize operations, improve the safety and security of goods and people, and adopt a more sustainable approach.


Michelin Connected Fleet was looking for a suitable solution to verify whether vehicles moving inside Ultra-Low Emission Zones (ULEZ) or other predefined zones are accurately tracked by its platform. It is crucial to verify this because a fee is charged on vehicles that do not comply with specific emission standards while crossing into any predefined zone.


As a starting point, Ness created a POC for the ULEZ solution, adding geofencing and notification services. This step reduced the implementation time in half.​
Ness’s extensive knowledge of the HERE Navigation platform (a turnkey or customizable SaaS solution used for connected vehicles) and experience working with location-based services enabled them to quickly create a solution that supported both real-time and batch processing of inputs. The usage of preprocessed data from the HERE Navigation platform helped reduce the operating costs of the solution. It also offered higher accuracy for route matching compared to the approach initially implemented by Michelin Connected Fleet.


In addition to achieving higher accuracy in processing fleet location than the previous solution, Ness made it possible for Michelin Connected Fleet to accurately process even more extreme scenarios, all at a cost saving.

Ness je partnerem SAP NOW 2022

Ness Digital Engineering SAP NOW CZ

I v tomto roce jsme partnerem největší akce o SAP technologiích v Česku, SAP NOW Prague, která se uskuteční 24. 5. v pražském O2 Universum.

Zajímají vás aktuální trendy, cesta ke kompletní digitální transformaci, nebo úspěšná řešení pro konkrétní podnikové zákazníky? Pak je tento unikátní celodenní event přesně pro vás.

Naši experti budou přítomni na stánku, kde představí podnikový informační systém SAP S/4HANA pro komplexní podporu zakázkové nebo malosériové výroby a výhody lokální podpory SAP systému. Stavte se za námi!

Zaregistrujte se na webu SAP CZ zde.

V Ness zavádíme vlajkovou loď mezi podnikovými informačními systémy SAP S/4HANA ve společnostech různých velikostí. Dokážeme Vám, že platforma SAP není ani velká ani drahá, jak se mezi podniky v České republice traduje. Partnerem SAP CZ jsme již od roku 1995.

Rádi zodpovíme vaše dotazy, neváhejte nás kontaktovat.

Ivo Procházka, Sales Manager, +420 774 655 079

Program SAP NOW 2022

08:30     Příchod a registrace

09:30     Přivítání & úvodní slovo | Hana Součková

09:45     Winning Spirit | Tomáš Bábek, dráhový cyklista

10:15      Digitální revoluce & optimalizace | Petr Beneš, 6D

10:50      Cloud as the innovation accelerator | Daniel Holz, Google

11:25      Panelová diskuze

12:15      Obědový raut

13:30     Sekce 1: Plánování cesty transformace – Jak začít

Sekce 2: Transformace v procesu – Jak růst

Sekce 3: Technologická relace

15:40     Přestávka na kávu

16:15      DEMO JAM

17:30      Večerní raut & networking

18:30     Koncert kapely Monkey business


Ness Digital Engineering

The digital transformation of industry is huge, the rate of change is accelerating, and it has a much broader economic and social impact than the previous revolutions driven by steam and coal, electricity, and, latterly, computers.

New architectures that can take advantage of the state-of-the-art in connected consumer electronics, unequaled global internet connectivity, efficient cloud computing and storage, and swarm intelligence are emerging.

What is digital transformation

Digital transformation can be defined as using the power of new digital transformation technologies such as cloud, IoT and analytics, social media, and edge computing to transform the firm’s business model and improve customer experience.

Most organizations on their digital transformation journey realize that standard, out-of-the-box services cannot fully satisfy their needs. As a result, these businesses are increasingly seeking unique platforms to maximize their competitive advantage, – which is where Ness comes in. Our DNA in engineering new products, modernizing legacy platforms, and our platform engineering competencies differentiate us.

Having worked with many of the world’s largest industrial and transportation OEMs, component suppliers, and leading platform providers, we understand the importance of delivering value to the industry by developing a framework for digital transformation while keeping the end consumer in mind.

Designing for Digital

The successful digital transformation journey envisioned by many industrial players is an endurance marathon that can only be achieved with a phased approach driven by a digital transformation framework and by including key elements of digital transformation. A typical trajectory starts with (1) enhancing instrumentation, (2) digitizing remote monitoring of simple processes, (3) embedding basic automation with humans in the loop for support and corrective oversight, (4) applying machine learning, and, eventually, (5) broadening AI-powered services to control the equipment with minimal human involvement.

This is the dream, but only part of the picture. Jeanne Ross et al. described in their 2019 book Designed for Digital 1 (MIT CISR) the digital platform as only one of five building blocks for the successful digital transformation of businesses in a sample of approximately 200 organizations. The others include the operational backbone (with its ERP, MES, and CRM), a shared understanding of the customer needs, an accountability framework, and, for the more advanced, an external developer platform to increase reach on the broader ecosystem. The accountability framework and governance mechanism drive the organization’s ability to scale the most successful initiatives and provide the foundation to turn them into enterprise-grade solutions.

The digital platform has digitalization components to drive the need for several core capabilities, including cloud platform engineering, continuous software delivery at any scale (Ness refers to this as intelligent engineering), and edge software development for connected assets or data and analytics.

The following examples provide additional context to the digital journey.

Building Blocks of Digital Transformation

Cloud Platform Engineering

Our first example focuses on a leading map provider who followed a typical path when moving geospatial data processing pipelines to the cloud. Their data products are used in over 100 million vehicles processing over 28 TB of collected data daily. Data processing at scale typically manifests in two workload forms – batch and streaming.

The cloud has dramatically accelerated operations, and the adoption of container technology and container orchestration has further empowered teams with operational abstractions that resemble Aspect-oriented programming but for infrastructure—the sum of these yields’ greater agility and more frequent releases.

Ness gathered a similar experience in the intelligent transportation space by deploying an event-driven ticketing architecture in Asia. It leverages a scalable messaging broker to process events from the social network client LINE and public transport gates across the transport network. A cloud deployment accelerated the delivery and allowed the team to focus on distributed system challenges associated with event ordering.

Intelligent Engineering

In our second example, software product development adapted to meet accelerated demands in release cadence without sacrificing quality. Agile practices have entered the automotive industry under adaptive agile to inject flexibility at the lower tip of the V-cycle under rigorous architecture oversight. Practices such as continuous integration or delivery have complimented the ways of working for software teams across any industry.
Ness helped a leading enterprise content management software vendor boost its test coverage from 15% to 90% while reducing environment provisioning times from 8 hours to 4 minutes. As a result, the overall cycle time for tests is now four days instead of 16. Automation and a balanced test pyramid are critical to the intelligent engineering of modern digital solutions.

Intelligent engineering has become even more critical as the number of teams spanning the overall product family grows. Coordination can only be achieved with practices such as the Scaled Agile Framework, which cadences teams against a known release train and COVID-savvy town hall meetings.

Automation and common CI/CD pipelines help teams remain nimble and meet agility requirements. Such was the case for our customer, a large gas turbine manufacturer. The digital platform provides data from connected assets and supports processes along the entire package lifecycle from the cradle to the grave with 25 teams coordinated by three trains.

Edge Software Development

This brings us to our next topic, edge software development. Edge-side software in connected gas turbines has shifted the business model from selling the turbine to the energy it provides (often referred to as servitization – see Professor Andy Neely 2).

The software stacks at the edge include constrained devices and concentrators or gateways powered by more advanced microcontrollers. This critical-edge compute can also be found on consumer devices such as entertainment media boxes in hotel rooms and automotive electronic control units (ECUs).

One example where we combine intelligent engineering with tremendous advances in microcontrollers is active safety for a provider of radars, thermal night vision cameras, and advanced driver assistance and autonomous driving software. Work includes requirements engineering (with tagging of the Functional Safety ASIL level), design, coding (according to MISRA C/C++ ruleset), module, integration testing, and validation testing, in line with AUTOSAR 3. x / 4.x and SPICE norms.

This allows our partner to ship their solution package, including ECU, to a higher number of OEMs while ensuring adherence to the automotive industry’s high development and validation standards.

ECU development is also influenced by electrification and autonomous driving trends. Ness has witnessed this first-hand with an innovative Austrian partner for developing, integrating, and testing ECUs for the powertrain of electric vehicles. Similar to the previous example, Ness optimized software development processes and methods.

Data & Analytics

Data and analytics are a fundamental part of the digital journey as organizations continue to generate increasing amounts of data and make new decisions about their optimal placement. As a result, data governance remains an essential capability along with modern data processing techniques, including big data batch and stream processing or applied machine learning.

Our partnership with a radiology imaging company led to the designing and implementing an end-to-end imaging data processing pipeline, including a data forge, a feature store and catalog, a flexible data science sandbox, and a systematic model-serving approach.

Cloud-based data processing can also accelerate the development cycle of a data product, as was the case with ‘driving smoothness’ for our partner, a telematics service provider. This involved processing over 35 data attributes, including GPS and data acquired via an on-board unit.

In the case of more advanced engineering applications involving structural computations, Ness leverages a distributed computing cluster to perform a solution search of systems of differential equations with parameters obtained through finite element analysis. This enterprise-grade architecture allows the organization to expose the calculation engine to turbine engineers performing What-If analysis for their conditions.

Independent of novel data engineering and data science approaches, fundamental capabilities such as data governance, architecture, data strategy and road mapping, meta and master data management remain essential as critical decisions are delegated to algorithms and production data.

Ness Digital Transformation Capability Framework

Capability Mix-ins

Ness is committed to cultivating innovation with an ecosystem of leading enterprise partners complementing our core strengths. As a result, Ness enjoys long-running and deep-standing relationships with our customers in achieving their digital transformation goals.

Below are some examples of possibilities resulting from the new capabilities mix.

  • Ability to manage hierarchies for tens of thousands of assets across multiple sites and roles.
  • Compute remaining useful life computations with requisite integrations to enterprise applications and semantic data alignment.
  • Edge-to-Cloud system testing involving multiple systems and communication paths & IoT protocols.
  • Implementation of ML pipelines which let data engineers and data scientists collaborate on multiple experiments using various datasets with clear provenance.
  • Ensure the highest unit and functional test coverage of all platform components in an automated fashion for shorter release cycles and greater customer satisfaction.

Digital transformation technologies and business transformation frameworks are evolving rapidly, providing new opportunities for businesses to capitalize on the power of their data, create efficiencies, improve quality and performance, and drive profitable growth. Innovation is a never-ending process, and Ness is committed to improving our understanding of these partners to provide lasting value.

Berthold Puchta
Sr. VP & Global Head, Manufacturing & Transportation
Ness Digital Engineering

About Ness Digital Engineering

Ness is a digital solutions company with product engineering in our DNA backed by a global collective of software engineers, data experts, user experience designers and innovators. Combining core competence in engineering with the latest in digital technology, we build customer-facing platforms and software products that help businesses thrive in the digital economy. As your tech partner, we help engineer your company’s future with cloud and data. For more information, visit:


What are the 5 elements of successful digital transformation?

The five elements include clarity in vision and strategy, customer centricity, Agile culture, data driven decision making, and developing talent and skills.

What is the essentials of digital transformations?

Customer experience, data driven insights, agility and innovation, technology infrastructure, and organizational culture are the essential of digital transformation.

What is the core of digital transformation?

The core of digital transformation is using dgital technologies to transform operations and create value through improved processes products and services.

What are successful examples of digital transformation?

There are many, and here are a few. Netflix is an excellent example where they used digital transformation to disrupt the video industry, and Domino’s Pizza used it to improve supply chain and delivery times, Adidas used it to improve product design, manufacturing and supply chain processes.