Creating an API contract and corresponding Kong service are often just the first steps in the API development process. More often than not, the upstream services that are invoked provide a different contract to the one presented to the API consumer. This is especially the case in larger organizations where enterprise applications offer their own out-of-the-box integration contracts. Likewise, you shouldn’t expose the complexity of your upstream systems to your API consumer.

Strapi is a headless CMS based on Node.js. Headless means that it makes all of its content available via an HTTP API, so you can easily build your user-facing frontend around it. Since it’s a fully-fledged CMS, it brings an administration frontend out-of-the-box, making publishing and maintaining content straightforward - even for those without a technical background. Since everything in Strapi works via an API, it’s perfect for Moesif API monitoring.

When it comes to mobile shopping, speed and stability are crucial: most users will leave a site or an app that takes longer than three seconds to load, and the bounce rate increases even further with loading time.

Both containers and virtual machines are virtual environments that comprise a number of computing components and are independent in nature, thereby allowing developers to scale applications in isolated runtimes. Both of these concepts aim at providing independent sets of resources to individual computing environments to ensure quick and reliable application performance.

Modern developers are under ever increasing pressure to deliver software applications to the business in record time. This means shorter development cycles and a push to have code production ready as early as possible. In addition, many development teams no longer throw the code over the metaphorical wall to be handled by operations and production support teams, but rather oftentimes own the entire end to end delivery chain.

The COVID-19 pandemic has forced government organizations to reassess their strategies, plans, and aspirations for digital transformation. Despite the uncertainty, IT leaders must quickly identify and act on strategies and plans that lead to positive outcomes. In many cases, governments will expand the role of digital technologies in service and program delivery.

One of the biggest failings of old-school, custom software development is its inability to help large organizations survive against unexpected challenges and quickly adapt to change. It could hardly be otherwise. For decades, companies were limited by inflexible business applications that took so much time to architect, develop, test and deploy. Not to mention the time it took to maintain, upgrade and enhance them. All of which set the stage for a revolution.

Replication (covered in this previous blog article) has been released for a while and is among the most used features of Apache HBase. Having clusters replicating data with different peers is a very common deployment, whether as a DR strategy or simply as a seamless way of replicating data between production/staging/development environments.

An exceptional embedded analytics offering is underpinned by the right strategy and framework - and this starts with a clear vision. To maximize the value of data assets, you may need to recognize and then address where your product may need to improve it’s BI maturity level. To do this, it’s time to focus on where your analytics development capability and tooling is today.

Unravel Data helps a lot of customers move big data operations to the cloud. Chris Santiago is Global Director of Solution Engineering here at Unravel. So Unravel, and Chris, know a lot about what can make these migrations fail. Chris and intrepid Unravel Data marketer Quoc Dang recently delivered a webinar, Reasons why your Big Data Cloud Migration Fails and Ways to Overcome. You can view the webinar now, or read on to learn more about how to overcome these failures.