How to Implement an API Integration Strategy

They will be able to assist you throughout the integration project from API design and implementation to even maintaining the system once it is up and running. This approach drastically reduces project delays and cost overruns due to miscommunication between frontend and backend teams leading to changes in APIs and backend systems. There is less communication between the teams and the design flaws are identified at a much later phase of the project. This eBook shares real-world stories from seven Jitterbit customers that use Jitterbit Harmony, a single born-on-the-cloud API integration platform, to unleash the transformative power of APIs and integration. As part of the trial period, it is also important to establish protocols for API oversight, security and maintenance.

database and api integration strategy

Now, with exciting advancements in data integration, that gap is narrowing. The API management platform can assist in the evaluation of API security, spotting requests or responses that might expose data or a potential attack surface in a workload that employs the API. Nothing disenfranchises users faster than an API that produces errors or fails to operate as promised. It’s vital to thoroughly test APIs to ensure that every version will perform properly. API testing should be performed frequently, or even continuously, and in short cycles.

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APIs handle every login, provisioned resource and data exchange between a public cloud and cloud user. Businesses can select a provider-specific API such as the Microsoft Azure REST API, or cross-platform APIs such as Apache’s jclouds and Libcloud. For example, let’s say that you rely on partners to advise and support clients. Let’s also assume that your middleware tool can provide API management capabilities (which isn’t always the case). In this scenario, you can provide APIs that share new clients and provide details around the sale (e.g. the plan they purchased). Your partners can then connect these endpoints with their own internal system, allowing them to quickly become aware of the clients they need to reach out to and how they need to support them.

More importantly, it means embracing digital, a goal set by the organization’s new CEO, James Quincey. The enterprise architecture team found itself well positioned for the resulting IT modernization push, having already laid the foundation with an aggressive API strategy. But in the beginning, the IT team needed to encourage buy-in across the organization for the API strategy. They also zoned in on potential detractors and proactively provided white-glove service before any issues bubbled up, thereby increasing overall support.

Consider who will be looking for APIs in your organisation

Consider how you can put in place standardised patterns, processes and governance your teams will use to build and deploy APIs. You should focus on principles and frameworks rather than specific technologies, and consider how detailed and rigid these should be. For example, you might apply strict rules for security, while allowing more flexibility in other areas. Even a single API will benefit from the standardised tools an API gateway provides, by not having to develop and deploy those elements of functionality.

database and api integration strategy

This was followed by the deployment of an API management platform, building upon existing architecture and enabling reuse. The team chose a platform that allowed rate limiting and load balancing, as well as the ability to ingrain the state’s security policies. DTMB recently released its first pilot phase with bounded functionality, and the department plans to roll out the platform enterprise-wide, with full functionality, in the near future. A service management solution will provide a portal for DTMB architects to review and analyze consolidated web services, a responsibility that each individual system owner currently handles. This will reduce the number of duplicate web services and facilitate reuse. Such a hybrid platform provides the enterprise all the technology capabilities to integrate data and applications across any on-premises or multicloud environment for internal or external consumption.

What other types of integration exist?

Data integration is the process of combining data from different sources to help data managers and executives analyze it and make smarter business decisions. This process involves a person or system locating, retrieving, cleaning, and presenting the data. If only the ability to harness insights from this data kept pace with the ability to create it.

database and api integration strategy

APIs can be used to share data and functionality between different applications and platforms. For example, a social media platform might use an API to allow third-party developers to create apps that integrate with the platform, such as apps that allow users to schedule posts or track their followers. When making decisions about API management, you must meet user needs as well as organisational goals. Make sure you understand how development teams in your organisation work so your policies and processes are not counter-productive. For example, overly strict criteria for assuring or publishing APIs might make teams reluctant to try new solutions that do not fit the pattern, which could discourage innovation.

What are the different types of APIs?

APIs are thus moving beyond the two-way synchronous communication mechanism between a client and a server to an event-driven mechanism. Architects and developers alike have also significantly shifted their thinking and are approaching technology strategy and implementation projects with an API-first mindset. This mindset puts APIs at the center of architectural decision-making, with the idea that APIs will be consumed by mobile devices, websites, enterprise systems and applications, partner portals, and vendor ecosystems. Despite APIs being a game-changing way to deliver and manage IT, getting started and anchoring a mindset shift toward “product versus project” is difficult in terms of people and process.

  • Vendors include new entrants and established players, including IBM, SAP, Oracle, Tibco, MuleSoft, Dell, Software AG, CA, Dell, and Apigee.
  • Dynamic field mapping can make it easy to avoid spelling mistakes that can result in corrupted data.
  • At its core, an API is an interface that enables different applications, systems, and SaaS tools to interact with one another via a connected system.
  • Clearly understand the exposure and technical security requirements of public versus private APIs, and apply enhanced security due diligence and monitoring considerations on your public API set.
  • In fact, in 2021 it was estimated that the average organization had around 110 SaaS apps.
  • Build in second-level factors of authentication and in-memory, in-transit, and at-rest data encryption methods when high-risk data sets or environments are involved.

It also has achieved centralized security by allowing citizens to verify their identities through third-party identity management services and enabling secure data exchange through centralized gateway services. Finally, MDHHS is anticipating a reduction in the number of customer inquiries https://www.globalcloudteam.com/ by enabling citizens to access data through mobile applications supported by the APIs. With a clear vision in place, companies then need to focus on what they need to implement in order to capture the value they’ve identified, a step many organizations surprisingly tend to shortchange.

What API management strategy can help with

Such regular service catalog grooming cuts down on bloat and ensures APIs are well organized and easily discoverable. The most advanced organizations dedicate specific funding to develop a set number of APIs while maintaining enough flexibility to seize on new ideas that emerge. They continually vet and reprioritize their portfolio to ensure resources support the highest-value opportunities. In determining which monetization approach to use, providers should think about how their data and APIs can add distinctive value for different audiences. The traffic app Waze, for instance, uses APIs to create a two-way exchange between municipalities and other partners to share data on road closures, accidents, construction delays, and potholes. Similarly, American Express uses its Pay with Points APIs to create mutually beneficial partnerships with merchants, arrangements that have increased retail sales, card spend, and brand loyalty.

Reaction to the pilot has been positive, and the faster time to market, improved operational stability, and data quality are already yielding benefits to the consumers. Even with digital platform use cases proliferating and excitement about reusability gaining traction, who can really blame veteran CIOs for harboring a few reservations about the API imperative trend? After all, in a media climate in which every new innovation database and API integration is described as earth-shattering, it is sometimes difficult to separate fact from fiction. With all the advantages listed above, it is clear why this pattern appeals to IT buyers and architects. In addition, this pattern also appeals to business owners, especially ones that rely heavily on data analytics and visualization to operate, as data is now fed to them in near-real time as opposed to once a day through data lakes.

Centralized API governance model

In embracing the API imperative, companies are making a strategic choice. They are committing to evolve their expectations of technology investments to include the creation of reusable assets—and committing to build a lasting culture of reuse to inform future project planning. Preparing, both strategically and culturally, to create and consume APIs is key to achieving business agility, unlocking new value in existing assets, and accelerating the process of delivering new ideas to the market. Another trend catching traction, especially with enterprise architects, is around event-driven architectures. Advancements in technologies, especially in the ERP and CRM technology space, have accelerated the ability of these platforms to generate and track events as data changes within their platform.

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