As the technology matures, cloud expansion and serverless databases have become more than a cliché for excellence. Business solutions over time have been providing better results in terms of data, analysis, operations, etc. Given the fact that technology’s ability to lower costs, reduce operational complexity, and increase DevOps efficiencies are the prime objectives; this is just the start! Using serverless stacks can offer substantial savings and offer greater optimization for a majority of modern-day workloads.

 

Cost-effective

 

One of the many advantages that serverless computing offers over traditional server-based alternatives is reducing the cost of software systems installation and operating. Cost benefits begin as we realize that there are no operating system expenses including licensing, installation, maintenance, support, and patching. It is simply a pay-for-what-you-use model since you only get charged for the time used and memory utilized on running the service.

 

DevOps Integration Dives Deeper

 

Serverless Big Data databases, which deploy computing resources on-demand, are entering the mainstream because they can be an order of magnitude less expensive than traditional, dedicated resource databases on the cloud. With more integration at the edge between services, we’d be seeing a bigger amount of migration toward infrastructure-as-a-service (IaaS) which would also include the database environment in database-as-a-service (DBaaS). For instance: when you manage the infrastructure and development procedure at scale, infrastructure as code helps you manage your development, testing, and production environments in a repeatable and more efficient manner. 

 

Enterprises will be driven by Data

 

As Artificial Intelligence (AI) and Machine Learning (ML) take the centre-stage, spotlight towards data is increasing rapidly in terms of sourcing, management, and viability. Simultaneously, the Internet of Things (IoT) continues to rise demands for data environments to deliver requirements accurately. This year will further witness more transformation of information management.

 

It’s the Year of NoSQL  

 

These days accuracy walks hand in hand with time. NoSQL databases are vigorously used to cater to real-time data requests for web applications. This year, global enterprises look forward to managing data through NoSQL to process massive workloads. As the most efficient and simplest service among NoSQL databases, the key-value stores are easier to optimize.

 

Monitoring Gets Easier

 

Serverless architecture’s complexity and elevated level of abstraction make surveillance and observation quite a challenge. If at all you are working with a disseminated system that deals with a group of functions, it becomes a herculean task to comprehend the metrics. However, this year application management tools are improving and simplifying in terms of monitoring the functionalities. For instance, AWS CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing a unified view of AWS resources, apps, and services running on AWS and on-site servers.

 

Security Gets Better

 

As more and more companies adopt serverless, the need for security also increases rapidly. Products would now have policies that can manage complex applications regardless of the service you utilize. Serverless features, providing microservices, are modular parts of software that, when supplied with specific inputs, act in specific ways. They reside in the cloud platform of a Function-as-a-Service (FaaS) service provider and, as such, are protected to some extent by the security infrastructure of the provider itself. Hence, security reaches even better standards this year.

 

For example, network firewalls integrated into Amazon VPC and AWS WAF (Web Application Firewall) capacities allow you to develop private networks and regulate access to your apps and instances.

 

Serverless Expands Into Hybrid IT

 

In cloud computing, hybrid cloud relates to the use of both on-site resources – on-premises as well as the public. Migrating legacy systems is no joke, therefore, for a majority of organizations, hybrid cloud stands as the best bet to achieve high performance and flexibility. The adoption of cloud could significantly expand by allowing hybrid serverless models to run spanning across different data centers and multi-cloud environments. Expect serverless to be a mandatory part of all enterprise applications integrating more with various technologies.

 

Scalability at it’s Best

 

It can take precious time to manage database capability manually and can lead to inefficient use of database resources. One major perk of a serverless infrastructure is that the developer programming/ deployment tool set provides the convenience of zero server deployments while preserving the elasticity of scaling. The cloud provider has to scale the capacity to satisfy the requirements seamlessly. Developers here have independent capacity to run the code on their own. For example, DynamoDB is a fully managed NoSQL database service capable of providing seamless scalability for predictable and high-speed results. With DynamoDB generating database tables is simple and any amount of information can be stored and retrieved, and it can also serve any level of traffic required.

 

Similar to new technologies, serverless will grow seamlessly. Considering the enormous amount of data being moved on the cloud every day, we will witness a growing number of sectors migrate to serverless architecture in 2019. This is just the start. 

 

In God we trust, all others bring data.— W Edwards Deming

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