As automation capabilities grow, so do the related use cases. It’s not surprising that 80% of executives think automation can be applied to any business decision, according to a Gartner survey. But as implementation becomes easier and automation adoption more prevalent, your organization can quickly lose control, with too many automation projects happening in silos.

Discover how to isolate memory leaks in complex systems like Kubernetes using production traffic replication.

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.

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.

This years I/O can be easily summed up by just one phrase: “AI”. AI absolutely everywhere. Sundar Pichai started, mentioned numerous times and ended the Keynote by mentioning AI. Some of the main announcements around AI for developers included the general availablity of “Bard” supporting 20 programming languages and use of the “PaLM 2” based models with some like “Gecko” small enough to run on mobile devices.

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.

Katalon and OctoPerf play a critical role in the continuous performance testing process, where OctoPerf helps to build the performance activity, and Katalon triggers the build activity and pushes performance reports into the Katalon platform. By integrating Katalon into OctoPerf, you can ensure that you have comprehensive end-to-end test coverage in a fully automated way. The integration between these two solutions will help you automate the build, test, and deployment of your applications.

The mobile app release process is a work of art that has many moving parts which need to work simultaneously. In this article, you’ll learn how to master the art of mobile app releases.

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.