Hello again! Welcome to Part 2 of this article series where we go through database-driven architectures by understanding the nitty gritties of a chat app where you can edit messages. Here's the Part 1 of this article series, if you missed it: Database-driven realtime architectures: building a serverless and editable chat app - Part 1 Check out the editable chat app or explore the project on GitHub.
Now you can skip running unnecessary builds or certain Steps when committing small or Draft PRs by using the Env Var 'GITHUB_PR_IS_DRAFT'.
The inner workings of an API gateway request can be difficult to understand because of its scale. To provide some orientation, we will use the real world as a reference, from planet-spanning infrastructure to a person eating a chocolate bar (processing a server response in a plugin). This series will divide the abstraction space of how Kong Gateway processes requests into four different layers.
In the last blog, we discussed the challenges in managing APIs at scale in a Kubernetes environment. We also discussed how deploying a Kubernetes Ingress Controller or an API gateway can help you address those challenges. In this blog, we will briefly touch upon some of the similarities and differences between an API gateway and Kubernetes Ingress. We will also discuss a unique approach offered by Kong for the end-to-end lifecycle API management (APIM) in Kubernetes.
This is the decade of hyperautomation—a decade when companies are doubling down on mating critical processes to drive sustainable growth. But here’s the problem. An eye-popping 60 to 80% of your organization’s processes may be running on unstructured data such as documents and email according to news reports. Which makes them that much harder to automate manage and audit.
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