Top Predictions for Cloud in 2019
Cloud is becoming ubiquitous with enterprises across industries and regions adopting cloud computing technologies. Enterprises are exploring the ‘Cloud first, and mobile first’ approach while continuing to work on migrating their existing workloads to the cloud. On the other hand, cloud providers are aiming to make cloud ‘intelligent’. In 2019, we will see these trends to continue with an increased focus on Governance, Intelligence, and Optimization. In this blog we outline some key technology trends we anticipate in cloud for the year 2019 and beyond.
Multi-cloud will be the new normal
In enterprises, consumption of services from multiple cloud service providers is rising and will soon become the new normal. Hybrid Cloud will be seen as a subset of multi-cloud. Some of the critical drivers for multi-cloud adoption are
- Taking advantage of the best features offered by different clouds
- Minimize the risk of widespread data loss or application downtime
- Avoiding vendor lock-in
Governance will be a critical factor for success of cloud
While enterprises take advantage of the agility provided by the multi-cloud adoption, they will soon realize the need for governance to ensure the consumption is happening in the right way with proper security. We already see enterprises building a central cloud team which defines the guardrails for cloud consumption. Enterprises will recognize governance as a key to be successful in their cloud journey. Consequently, we expect more and more enterprises adopt cloud governance platforms in 2019 and beyond.
More business domain specific cloud services will be available
Cloud services have expanded beyond compute, network, storage and database to areas such as analytics, IoT, machine learning, robotics. While this will continue, we expect the service providers to offer more services specific to business domains or functions. This will enable organizations to realize their ROI much faster.
Artificial Intelligence will play an important role in cloud Observability
In the cloud-native world, the traditional ideas of monitoring, logging, and tracing have morphed into Observability. Unlike the traditional way of monitoring which is more reactive, observability leads organizations to be proactive in dealing with their problems. We will see cloud workloads use artificial intelligence to predict the workload performance, identify anomalies and potentially help in fixing the issues.
New cloud cost models and focus on continuous optimization
In 2019, we will see an early trend of Opex model evolving to a transaction or more granular utilization-based pricing model. PaaS services and Serverless offering will drive this change. Not all PaaS services are transaction based yet, but we expect more service providers adopting it.
Using public cloud services alone may not be an appropriate long-term strategy. Many organizations have already experienced that cloud can be an expensive route if not measured and optimized on a continuous basis. Hybrid or multi-cloud and continuous cost optimization techniques will come to the rescue in 2019 to solve the cost overruns by the organizations.
Containers will lay the foundation for interoperability of multi-cloud workloads
Containers are considered as the best option to make workloads move across clouds without vendor lock-in. More enterprises will adopt container technologies as they are lightweight, offer high availability, zero downtime deployment and scalability. Kubernetes adoption will on the rise as AWS, Azure, and Google cloud released managed container orchestration platforms based on Kubernetes.
Serverless computing will get matured with added intelligence
Event-driven computing is becoming an integral part of modern application architecture. Functions as a Service (FaaS) is one of the delivery models of serverless computing. Organizations with ‘cloud first’ approach are adopting serverless technologies as it provides the scale, agility, and transaction-based pricing. In the future, we will see serverless technologies integrate with Artificial intelligence to provide more significant benefits in prediction, routing and anomaly detection.
More data centric workloads will move to cloud
All leading service providers (AWS, Azure, Google) started offering various options for database and data analytics. Data is becoming the fulcrum of enterprise workloads. The variety cloud offers in databases and analytics services makes it compelling for enterprise workloads. We will see more data-centric workloads moving to cloud this year.
Edge computing will find more use cases
Edge computing helps process an enormous amount of data most efficiently and effectively. With IoT becoming an integral part of devices starting from smart appliances to smart cars to smart cities and expected rise of 5G in 2019, we believe that Edge computing will address many real-life use cases this year.
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