How digital transformation is impacting application delivery



Bridging the gap between traditional and microservice application delivery will be a new challenge for evolving businesses

To meet the growing challenges of a competitive world economy, enterprises are undergoing a digital transformation. To be competitive, organisations need to be more agile, and need to be able to scale their applications to meet customer demands.
The new pillars in an enterprise digital transformation strategy now include leverage of cloud and new application architectures to drive profitability, while reducing security vulnerabilities and overall technical debt.

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Applications play a critical role in this endeavour. As cloud adoption rises, it presents increasing challenges of complexity for organisations in managing multiple workloads across a diverse ecosystem of platforms.
Microservice applications are one way that these challenges can be met. Microservice applications are agile, configured to enable new features to be added without disrupting applications in production, and are designed to automatically spin up new instances in response to increasing user demand.
This drastically changes the way that applications are deployed and managed, bringing a new level of complexity to network infrastructures as traditional applications are not going away. Applications will continue to be designed for both microservices and traditional 3-tier implementations, and organisations will need to maintain traditional IT practices while developing agile practices for newer DevOps microservice applications.
To bridge the gap between this new microservice application delivery and traditional application environments, some businesses are adopting hybrid application delivery infrastructures.
But supporting a hybrid application delivery infrastructure places unique demands on the business’ Application Delivery Controllers (ADCs) due to the diverse qualities of both models.
WIth microservices application delivery, ADCs are placed in a container and are deployed per microservice, whereas in legacy applications, they are in front of the application servers. There are also variations in the quantity of ADCs deployed; thousands may be required to support traffic with microservices applications, compared to just a few for traditional 3-tier applications.

‘The ADC Guide to Managing Hybrid (IT and DevOps) Application Delivery’ delves into the primary drivers and implications for a hybrid application delivery infrastructure.

These differing structural characteristics create a large management challenge that must be overcome to support both traditional and microservices applications in parallel. There are three strategies that can help businesses at different stages of digital transformation overcome some of these challenges:
Conventional Hardware - Most ADCs carry a fixed licensed capacity. Traditionally, when businesses needed to increase capacity, they either bought new appliances or upgraded the appliances they already owned. This ‘buy it when you need it’ strategy makes short-term sense for companies that prefer to manage hardware on-premise, and may not be ready to move to cloud. In the long run however, as business demands increase, recurring purchases can be expensive and disruptive, and can eventually lead to ‘appliance sprawl’ which is costly to support.
Consolidation with multi-tenancy - Many organisations are replacing multiple point solution appliances with a ‘scale in’ approach. Rather than continue to buy more and more devices, they choose to go in the opposite direction, consolidating existing load balancers, VPNs and firewalls onto a multi-tenant platform that can scale up as needed over time without the set-up and deployment requirements of complex upgrades.
Pooled capacity licensing - As applications transition to the cloud and the data centre evolves towards a software-defined model, the requirements for ADCs are rapidly evolving. A software-first ADC decouples software from hardware, freeing IT departments to allocate instance capacity flexibly across the network, in hardware or software either on-premise or in the cloud.

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