Modernizing Your Digital Environment to Cope with Emerging Enterprise Needs

Transform the right app before transforming the app right Identifying which to automate (build up rather than bigbang approach). Well thought out project consulting can result to:

Bottom line of why we need to modernize our application architecture is that legacy applications (e.g. monolith) are difficult and slow to update, hard to scale both in performance and feature enhancements and does not seamlessly integrate with the modern Devops process.

Are you using monolith software?

There is no standard way of defining when an application is monolith or not. Below is guideline you can use to assess if your current application falls under the monolith characteristics:

• All of the software components are assembled together and are tightly coupled
• The application is too large and complex
• It is hard to make changes fast and correctly
• You must redeploy the entire application on each update
• It is hard to scale since the modules have different resource requirements
• A bug in any modules brings down the entire process affecting the availability of the entire application [Single Unit Deployment]
• Difficult to adopt new and advance technologies [Language/Framework Lock]

When to migrate from monolith to microservices?

Not all monolith applications need to be migrated to a Microservice architecture (at least not yet). It is critical to start any modernization with an application assessment. It is important to take an inventory of what you have to start just about any transformation like this.

• When the development team starts suffering from collaboration difficulties while maintaining the monolith [Cooperation Deadlocks]
• Downtimes take too long which is detrimental in the era of online competition
• Company is growing exponentially and the monolith software cannot meet modern demands
• You want to reduce dependencies
• You want to develop faster
• You want to have smaller functions to test and debug errors on different levels easier wherein you can find mistakes faster and consume less time fixing it
• You want to increase the amount of error-free deliverables

Monolith VS Microservices

Tools: cloud native, containers, cloud, K8, etc

On the other hand, will allow you to have a custom-built application that is tailor-fitted to align with your business strategy.

Exist can provide you a complete end-to-end enterprise application development service with our strong backend development expertise, and extensive experience in recognized Java and open source technologies for a wide variety of vertical and business domains, particularly healthcare, banking and finance, retail, and energy.

Process implementation

Data is the drivetrain of digital transformation. From understanding the customer better, improving business processes, identifying new opportunities for revenue, to balancing risk and reward. Having the right , flexible , scalable and modern data solution can enable your enterprise to tap into every available data asset, turning latent data into actionable knowledge and insight.

The basic model of transaction data, data warehouse or even big data may no longer be enough. Fast data is the next wave. Data that can provide real-time insights and also which can provide a lower footprint both in operational management and infrastructure dependencies will be a critical factor to compete on the next wave of innovation.

There is no silver bullet in implementing this new generation of data solutions but rather a combination of both tools and frameworks (e.g refer to App modernization), design, process and the right partner to help you realize the benefits of this model.

Tools: Greenplum , Kafka, PKS

As the size and complexities of systems increase so does the organization’s dependencies to these systems to a point that it becomes an organization’s major platform to be successful and competitive in its industry. As such, it is critical to ensure the process of developing, deploying, fixing, monitoring, enhancing and overall management of the roadmap of these systems to be efficient, reliable and scalable as much as possible.

1. Faster development cycle equating to faster time to market and faster innovation.
2. Reduce deployment rollbacks failures, ensure efficient rollback process and time to recover.
3. Increase development and deployment efficiencies with the help of automation process.
4. Reduce IT Cost and allow to reallocate IT headcounts to other critical tasks

How Mature is Your Data Strategy?

Tools: Greenplum , Kafka, PKS

There are plenty of financial and operational reasons why an organization should consider moving to cloud deployment as there are also reasons why a company might need to migrate to an on-premise deployment or even a hybrid model. Whichever deployment platform is chosen, the modern architectural framework and devops process can be implemented whether it be on cloud, on-premise or even a hybrid model.

Cloud migration has been gaining plenty of interest since it provides organization a number of benefits on:

1. Scalability – Cloud technologies allows scaling up and down depending on your requirements.
2. Accessibility – Anywhere and anytime access.
3. Costing – No upfront cost and only pay what you use which allows the costing to be also predictable.

Also, there’s no need to maintain servers and their racks, IT resources to manage those servers and server power consumption cost. Cloud providers also provides dashboard to allow you to keep in check of your running cost.

1. Worry free IT – No need to maintain a dedicated IT group to manage your server platform as it will now be taken care of by the cloud provider.
2. Security – Cloud data centers implements security measures beyond the affordability of most businesses, therefore your data is often safer in the cloud than on a server in the office.
3. Quick deployment– accessibility and readily available tools allows for quick deployment of applications.
4. Cloud managed services – Deployment in cloud allows the organization to take advantage of readily available cloud managed services from different vendors with majority on a pay per use billing model.

Cloud Migration Strategy

Cloud migration process can vary on different organizations based on factors such the type of migration (pure cloud, hybrid), components (e.g apps, database, devops, usage of cloud managed services), cloud provider (e.g. Azure, AWS, GCP, etc) among others. Whatever the variance, the common steps in cloud migration process would include the following :

• Assessment of client’s cloud accessibility (bandwidth and connectivity)
• Assessment of performance and security requirements;
• Cloud provider assessment
• Optimal Cost assessment (Pay per use and Reserved instance costing)
• Change management assessment
• Planning is critical as lack of planning would negate the value that cloud deployment offers.

Finding the right partner

Deployment and infrastructure migration can have a significant impact to an organization borth operationally and financially. When you want to make this type of migration work, you need a partner who can help you realize the benefits of this migration. Our team of technical resources has a good number of years successfully developing, migrating deploying cloud based systems for medium to large enterprises and for critical industries such as banking and finance and healthcare. Along that line, Exist also has strong demonstrable experience working on the the major cloud providers (Azure, AWS and GCP) and has strong partner relationship with Azure and AWS cloud providers to allow us access to not just their infrastructure resources but also to their knowledgebase.