According to IDC Predictions for 2018, “If you are not in the cloud, you will be isolated from innovation.” It also forecasts that by 2021, cloud services spending is set to double reaching $ 530 billion, taking advantage of the diversified cloud environment that will be 20% "at the edge,", more than 15% specialized computing and more than 90% percent in multi-cloud.
Frank Gens, at IDC FutureScape: Worldwide IT Industry 2018 Predictions, stated that the Cloud has entered phase 2.0, where the public cloud has become the best platform in an organizational ecosystem that requires accelerating its digital transformation with technologies such as AI, Machine Learning, IoT, augmented reality (AR), reality Virtual (VR) and blockchain.
Moving forward in the change towards the cloud requires involving different areas and functions of the organization from users, business areas, IT departments and purchases - among others. Tis is because a joint effort will be necessary in order to define new formats (government model) that will enable to streamline operations and adequate capacities to truly benefit from the cloud model.
What is the best cloud for your organization? Public, private, hybrid? What provider? Paas, Iaas, Saas?
For a large company the answers will be all of them. A mixed strategy makes sense where the different models are better adapted to different business needs.
The solutions tend to be multiplatform and multivendor. Another key challenge will be to manage all the players, through the brokerage, a discipline that everis has implemented in Cloud management Centers in the Americas region, facilitating cross-platform integration in a centralized and agile way.
- Cloud to the edge
One of the ten main trends of 2018, according to Gartner, will be Edge computing, or FOG computing, a computer topology in which the processing of information, the collection and delivery of content are located closer to the sources of this information. Connectivity, latency, bandwidth constraints and greater decentralized functionality favor distributed models. Companies must start using design patterns at the edge of the network in their architectures, particularly for those with significant IoT elements.
- When should Fog Computing be considered?
When information is collected at the ends of the network, it generates large volumes of data and requires immediate response times.
- How does it work?
Basically, the data that requires the fastest response time processed in the FogNode (the one closest to the IOT element). While there are intermediate layers, data that is less sensitive to response times are sent to the cloud for files, big data and long-term storage analysis.
- Who does what?
Fog nodes receive information from IoT devices in real time, process applications in real time, control and analytics in milliseconds, save information from two to three hours of history and periodically send information to the cloud.
The Cloud platform receives and updates information from Fog nodes, analyzes the information, integrated with data from other media and business applications. You can modify configurations and business rules in Fog nodes applications.
The way in which IOT is growing needs a special infrastructure base that can handle all its requirements in real time and "fog computing" seems to be the most viable option at the moment.