Edge computing is a distributed computing platform that makes computation and data storage closer to sources. Let’s discuss how this works in realtime applications.

Reducing latency

Ensuring the security


Enhancing the versatility



  • Edge computing: Helps to boost business operations with latency concerns. Thus, companies that have limited budgets use edge computing technology to save money.
  • Cloud computing: is suitable for custom software development projects and firms that deal with massive data.


  • Edge computing: People use edge computing for developing software programs. All those programs require platforms that have different runtimes.
  • Cloud computing: is better for actual programs since each program will have one target platform and a programming language.


  • Edge computing: Edge computing requires robust security such as advanced authentication approaches and proactive tackles.
  • Cloud computing: requires a less robust security plan.

Some best edge computing examples for daily life

  • Autonomous vehicles: Self-driven cars and many vehicles need a massive set of data from their surroundings to operate effectively in real-time. There is a delay for vehicles if people use cloud computing.
  • Streaming services: Services such as Netflix, Hulu, Amazon, etc create a huge network of IT infrastructure. Edge computing helps provide a smoother and faster customer experience through edge technology.
  • Smart home appliances: Like streaming services, the increasing growth of smart homes poses an issue. There is too much network load to rely on cloud computing. Processing, and storing data are closer to the data source meaning less latency and quicker response times in emergency circumstances.

Looking to the future

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