Software Outsourcing Codea operates at the intersection of energy, excellence, and invention.

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CSR Initiatives

We set ambitious goals and make strategic investments to drive improvements...

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Codea is committed to creating a diverse and inclusive workforce. There´s growing...

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The Spark Innovation Ecosystem ‘Applies Next´ beyond what is developed in house...

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Cloud Consulting

We impeccably manage your cloud enablement from choosing relevant cloud services to the successful execution of cloud transformation.

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DevOps, Microservices & Serverless

Artificial Intelligence

Our AI services & solutions help gain high-quality and high-accuracy AI capabilities.

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Data Science Consulting Service

Data Science Consulting

Robotic Process Automation

Robotic Process Automation

Staff Augmentation

Codea has already helped 200+ clients augment their teams via hiring dedicated developers. Keep reading to find out what staff augmentation means, what are its benefits, and how to get the most out of augmenting your team with software developers.

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Our Industries

Discover how Codea´s breakthrough technologies are transforming industries with smarter ways to do business, new growth opportunities and strategies to compete and win.

Freight & Logistics

ERP For Container Freight Stations
Codea FR8 offers an accurate freight and warehouse management system with built-in redundancies.

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Codea PMIS

Port Management information system
Ports across the globe that have manual and outdated systems and slow paper-based processes are at clear disadvantage in the modern, knowledge-driven world.

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A complete ERP solution for Manufacturing, Distributing and Service companies.

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An integrated cloud based plug and play to reduce the manual work in an OPD of hospitals/clinics.

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A Codea fintech software suite with Core Banking, Insurance, eWallet solutions and Audit management system.

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Key factors to be considered for a

Successful IoT strategy

Developing the IoT strategy, aligning it to operations, technology and with the organisation's business models requires attention from the start. The strategic concerns should be addressed well before the start of IoT implementation and should be revisited throughout the process.

Existing strategic assets may have to be reshaped, adapted, or even eliminated according to the emerging scenarios, changes and innovations. Companies need to ensure that all of their assets are leveraged to their full extent.


  • Will edge devices have to process on a quarterly or annual basis? Do they have a requirement to scale beyond their first requirement? The Platform size requirement has to be assessed. The platform has to scale for years.
  • Security - transfer data to the data centre. Since IoT is becoming self intelligent we need to focus on edge processing.
  • how to maintain and how long- Capacity with scale and access and process data at the edge. Summarize the benefits for the enterprise.

    Edge node and solutions come into use. The first level of data classification to the edge node leads to edge cluster use cases.

    Small form factors of nodes in edge environments offer three or five node clusters that can scale. Customers who fall into self-contained intel devices.

    Second, are people beyond IoT to edge node and edge clusters who want enterprise in a small briefcase.

  • Lightweight and secured
    IoT devices tend to be small in form-factor that is limited RAM, disk space, low power requirement etc. This makes it important to pay great attention to resource requirement and consumption. And due to the fact, that IoT is all about scaled and smart devices deployed, we need to focus on the scalability and security of these devices.
  • We have worked with many companies that started pilot IoT projects and quickly realized that the architecture they had created would not scale to support their application. So the key is planning for the quantity of data which will be created. Building an IoT platform on high performance, massively scalable and highly reliable platform from the start can help to avoid scalability and performance challenges that arise with production scale deployments.


  • Reliability: You need a persistent and high-speed connection that can handle any amount of data, and an uptime guarantee to maintain service to your deployment. You need reliability at scale, not just in the lab. Has to ensure that performance doesn’t fail and your infrastructure could be globally scaled so that users could be added further away from your points of presence.
  • Security: IoT devices are expensive and added to that the failure or security vulnerabilities could have a real-life impact on the people around them. You need to ensure that you’re protecting your deployment itself as well as the data flowing through it. While forming a security strategy important considerations should end to end encryption, secure firmware, access management and open-port management.
  • Low-latency: Speed is an important factor. One has to make sure they use low latency protocols and technologies to provide the real-time speed necessary to control and monitor IoT devices. Every millisecond counts when it comes to devices.


  • Adoption of IoT technologies has become a much-needed factor for organizations to stay ahead of their competitors and to effectively meet the demands of their customers. Organizations, therefore, need to advance their ability to adopt these technologies while minimizing the unacceptable risk. An ideal solution for organizations will be deploying IoT assets as modular pieces and by adopting a network approach of introducing them incrementally, visibly and intentionally to the current system. The assets could be exposed as APIs, which can be configured on a zero-trust model, creating layered defences that prevent the API from trusting new entrants prematurely.
    While organizations continue to add new technologies at a faster stride, this approach is very much vital to allow them to minimize and mitigate the associated risks at the same time.
  • The past two years have seen a burst of platforms like Amazon and Google Home has become more universal. There is an increasing demand for integration. Ecosystems are still in the early stages for the consumer towards a fully autonomous smart home.
  • Has to bring all parties together to avoid functional isolation. Has to involve data science from the beginning. The first step is to decide what you are trying to achieve.
  • Specifications and certification are the main factors. Also has to take care of the open-source project to provide a reference implementation of the OCF specifications. Throughout the IoT pipeline focus should be on interoperability and security


  • BNEP - Bluetooth low energy is a common protocol. Focus on your capabilities. Identify a reliable hardware partner. The device comes alive on the software size while UX and software make the difference. Hardware, cloud backend, an app on iOS and Android, all should work together.
  • We work with logistics, Hospitality, Retail and healthcare. Retail and hospitality know what they want to do to create a better customer experience. While Logistics companies have an existing connected asset within the business and they want to make sure to monitor those assets so they can move to predictive maintenance.
    We support them with regards to a)data problems, data plane b) modernizing and improving streams of data or cloud-native applications c) providing applications and services, d), deploying and managing new infrastructure and e) how to deploy across hybrid environments.
  • One should have a clear understanding of the system you are developing on. Key to adoption is to create industry-specific solutions.
  • The fundamentals are similar to cloud software development. You need a good software development process for testing, working with a team, deploying across a lot of systems.
  • Has to keep your feet frim on the ground even when your head is in the cloud. In other words, sticking to the actual needs of your customer in mind is critical while you keep up with the latest technologies, trends, and offerings in the IoT space. Be the bridge between what your customers truly need now and the use of devices / cutting-edge technologies. Dissatisfaction starts popping up when you address a challenge with an innovative technology solution without properly addressing an existing problem.