Systems | Development | Analytics | API | Testing

Hiring a New York or Menlo Park white-shoe law firm to write your app’s Terms of Service (ToS) might bring peace of mind, but how do you ensure that your expensive rules are actually adhered to. Just like the pervasive abuse of customer review guidelines in B2C companies, B2B companies also suffer from multiple/unverified review problems. Similarly, by their design, APIs are also vulnerable to misuse by bad actors, but this time through brute force attacks.

As with any product lifecycle, a key responsibility for API architects and API product owners is deciding when to sunset or retire a feature or offering. The API lifecycle is no different, but requires careful planning to carry out the deprecation to minimize customer impact. Unlike a packaged solution or module which is more of a black box, APIs enable your customers to build custom functionality which may have required months of integration work and testing.

Kong for Kubernetes is a Kubernetes Ingress Controller and a full-fledged edge-router which can route traffic to any destination of your choice. In addition to Ingress management, it provides enhanced security and management capabilities. With Kong, you can use Kubernetes not just for running your workloads but also for securing and monitoring connectivity between your workloads – all managed via Kubernetes manifests .

As a follow up to our previous blog post about retrieving related data from that REST API, I wanted to dive deeper into the power of the “related records” feature of DreamFactory’s database-backed APIs. One of the powerful features of SQL databases is the ability to relate separate data records and perform queries that retrieve that related data all at once. One problem is that this requires a fairly in-depth knowledge of your database, it’s schema, and SQL syntax.

This is the second in a series of playbooks that walks you through the steps required to automate key monitoring and altering functions within your product. Through automation, Moesif will save you time, resources and energy. Automating repetitive processes is a key attribute in whole-product design. By combining payload observability with behavioral emails, Moesif’s able to make you more productive through sophisticated workflows of many functional, performance and product issues.

Keeping your customers happy is paramount. And nothing alienates them more than stopping their service after they’ve made an innocent mistake. This playbook walks you through the steps required to keep your customers in the loop when quota or billing issues arise.

This guide walks you through how to stand up cross-platform analytics to track customer behavior across both your APIs and web apps. By tracking customer behavior on both APIs and web apps, you’re able to fully understand the customer journey and metrics like Time to First Hello World and Time to Value. However, gathering the data by itself isn’t enough. After all, if it’s not acted on, it’s not of much use.

Week nine of Google Cloud Next ‘20: OnAir is in the books—and what a week it was! From Google Cloud GM/VP Amit Zavery’s keynote to product announcements to customer demos to Google SVP Urs Hölzle presentation and Q&A, we explored multiple ways enterprises are leveraging APIs and no-code application development to accelerate their digital transformations. There was a lot to absorb, so let’s take a look back.

When we first created Kuma – which means “bear” in Japanese – we dreamed of creating a service mesh that could run across every cluster, every cloud and every application. These are all requirements that large organizations must implement to support their application teams across a wide variety of architectures and platforms: VMs, Kubernetes, AWS, GCP and so on.