Systems | Development | Analytics | API | Testing

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3 Ways to Break Down SaaS Data Silos

Access to data is critical for SaaS companies to understand the state of their applications, and how that state affects customer experience. However, most companies use multiple applications, all of which generate their own independent data. This leads to data silos, or a group of raw data that is accessible to one stakeholder or department and not another.

API-Managed Event Streaming with Kong Konnect and Amazon MSK

Event streaming allows companies to build more scalable and loosely coupled real-time applications supporting massive concurrency demands and simplifying the construction of services. Ultimately, we may need to grant access to such infrastructure to the most diverse entities, including external applications posting events that will be eventually consumed by internal systems. The purpose of such exposure is to promote development teams’ collaboration.

Kong Insomnia 2023.2.0 Released with Enhanced Import Flow

We’re thrilled to announce the latest release of Kong Insomnia, version 2023.2.0, packed with improvements and fixes that will make it even easier to manage your APIs. In this release, we introduce an enhanced Import flow, along with support for Kong 3.0 and the return of Swagger/OpenAPI preview. Continue reading to learn more about these exciting updates.

The Pros and Cons of Data Mesh vs Data Lake

Data has become the lifeblood of modern businesses, and organizations are constantly looking for ways to extract more value from it. While there isn’t a one-size-fits-all solution for data management, organizations tend to take some common approaches. Two popular approaches to managing data are Data Mesh and Data Lake. Data meshes and data lakes have recently become popular strategies for groups that want to avoid silos so they can make data-driven decisions.

Best Practices in a Continuous Delivery Enterprise: Building Standardized Tooling and Pipes for a Bi-Modal Operating Model

As firms embrace digital transformation, it is crucial to build continuous delivery methodologies that allow for the speedy deployment of software applications. An organization that uses continuous delivery fosters quicker innovation and expedites the delivery of products and services to customers. Building standardized tooling and pipes for a bi-modal operating model is one of the best practices in a continuous delivery company.