Business composability provides flexibility, agility, and the pace for business applications. However, with distributed architecture accompany the challenges of governance, security, and an immense pool of data. AIOps & observability plays a vital role to address these challenges.   

Organizations with high composability have seen better success rate than their peers. They are faster and more effective at developing new partnerships, pursuing new opportunities, offering innovative products and being more responsive to customers and clients.

Why the composable enterprise is necessary for organizations

Digital transformation from monolithic applications to a composable enterprise model opens up new possibilities to integrate business applications with new technologies at a competitive pace to serve customers.

Flexibility - A composable business enterprise provides a platform to incorporate new age technologies. The modular structure makes it easier to implement the best fit tools and technologies to create a robust system. A large enterprise becomes a structure of smaller independent blocks, making it simpler to upgrade, replace, or decompose the block as needed. 

Innovation - A composable enterprise encourages new skills and talent among their staff, and provides them a platform to experience with minimum risk of failure and effect on other business lines.

Faster releases - The composable approach to development allows enterprises to release new features and updates as a packaged business capability with a faster rate due to reusable code and modular design principles.

Happier customers - In this competitive world, it is important to cater to each customer’s need with agility. The composability in structure provides the ease of creating customized requirements for each of the customers with the modular approach enabling it to be delivered at pace. The capabilities can also be provided to customers as self-service tools empowering the customer to choose the features as per need.

Future state vision - The composable approach induces functional independence at each layer of the business applications and process, simplifying it for the future. This could include upgrading the technology stack, introducing new features, migrating to new cloud provider or coming up with a new line of business altogether.  This helps the enterprise to be always ready to embrace any new futuristic trends to remain cost effective and upbeat in the market.

How Wipro’s AIOps and observability framework helps in building composable enterprises

Every business has data, and data is what AIOps consumes – understanding and using it to empower operations to become more durable, adaptive, and agile. AIOps enables real-time efficiency of digital operations, microservices and cloud computing, further driving composability.

Wipro’s AIOps & Observability framework is designed to offer you the three key features to achieve composability: 

Data collection and analysis - AIOps work on two basic principles: data collection and data analysis. Data collection needs visibility across the complete stack.  The massive data collected needs to be stored and analyzed, requiring enormous algorithms based on AI/ML to process and generate crisp and contextual insights for various persona in the organization. Wipro’s Observability solutions provide the mechanism to collect all metrics, logs, traces, and events, giving complete insight of what is happening in the system and its connected systems. AIOps provide the powerful AI/ML algorithms for data analysis for deducing predictions and reliability signals. Wipro’s AIOps & Observability framework is designed based on the concept of data-lake where the data is ingested from numerous sources, analyzed via ML models to provide actionable insights to various personas such as business, DevOps and Site Reliability Engineers (SRE).

“Monitoring as a code” - Wipro’s AIOps breaks the standard barrier between ITOps and DevOps by injecting monitoring with development, making it an integrated part of CD/CI pipeline increasing the possibilities for tracing through the code. This increases the observability at each layer of the application enabling a better insight to govern and track any changes in an application, real time, making the system more reliable for business. Wipro’s AIOps provide a second level of tracking via its intelligent change analytics offering which helps SRE trace both authorized and unauthorized changes.

Orchestration - Due to the composable nature and high complexity of data generated, automation and orchestration play a key role in ensuring the equilibrium on constant enhancements (deployment of new features) and maintenance of existing ones. Wipro’s Observability framework provides constant feedback for identifying the improvement areas while AIOps provide tools to automate and orchestrate the environment. Wipro’s “No Ops” make the system self-resilient by performing auto remediations using AI based recommendation actions.  

Enterprises working toward a composable business should assess not only their processes and functions but also their maturity with AIOps and Observability, considering that observability needs to be present in the organization’s DNA, tracking each module for security and performance. Wipro’s AIOps & Observability self-assessment tool kit is just the right tool to help you to measure the maturity not only in ITOps but across all practices such as DevOps, SecOps, Cloud Ops and SRE. 

AIOps makes IT operations more self-governing and well-orchestrated within the business. 

Embark with us on journey to business composability. Check our AIOps & Observability offering at Wipro

Business service management solutions | AI for IT operations - Wipro

Ankur Jalpota
Global Practice & Delivery Head for BSM & AIOps, Wipro

Ankur works with technology partners in advancing and modernizing the tooling space and aligning the overall offering with the ongoing evolution journey. He is an evangelist for humanizing technology that focuses on end customer usability and ground level business impact. Ankur has played key roles in developing next-generation transformative offerings and executing growth strategies at Wipro in AI & cloud.