Growing any business is difficult, but scaling a software as a service (SaaS) company is on a whole other level. Most SaaS companies struggle to achieve predictable revenue growth, while even public SaaS companies struggle to achieve profitability. To make a SaaS company successful, you can’t just change your software delivery model to the web and expect it all to work. You have to make thoughtful, data-driven decisions when it comes to your marketing, sales, and customer success operations.

We just shared big news about the open-sourcing of our Node.js Runtime and the release of our AI Copilot for Node, both requiring a big role from our infrastructure (Infra) team. They are the team behind the scenes, dedicated to delivering top performance, and have been instrumental in maintaining our reputation for fast, stable, and secure delivery of our SaaS product and Binary Distributions–which generate over 100 million annual downloads a year.

Today, we’re excited to release the Kong Konnect EKS Marketplace add-on as a means to deploy your Kong Gateway dataplanes in AWS. The add-ons are a step forward in providing fully managed Kubernetes clusters. It is here to simplify the post-procurement process of bootstrapping Kong Konnect gateway data planes, avoid context switching among tools during the installation process, and provide notifications when a new version of Kong Gateway is available, making upgrades seamless.

In the ever-evolving landscape of software testing, the advent of Artificial Intelligence (AI) has not just been a game-changer; it’s been a paradigm shift. Test automation, once a static process, has metamorphosed into a dynamic and intelligent entity, reshaping how we approach quality assurance.

The Integrate.io Developer Toolkit serves as an in-depth resource for technical professionals focused on building applications with real-time data streams. This guide offers a detailed look at how to integrate various real-time data sources, messaging platforms, and APIs.

When it comes to automation testing, Katalon and Cypress are among the most loved choices. Prized for their simplicity, ease of use, and powerful capabilities, they are both a great choice for any teams wanting to improve their testing efficiency. However, Katalon and Cypress have their own unique strengths that fit specific testing needs. If you are considering which tool to choose for your team, read on.

In the world of data-driven decision-making, effective visualization is a cornerstone for translating complex data into actionable insights. Data visualization is a technique that makes information visually appealing by highlighting patterns and trends in the data and enabling readers to get new insights quickly. Different ways of visualization help the leadership team in their day-to-day decision-making.

Perhaps the most important part of any monetization strategy is the effective selection of API billing metrics. Billing metrics form the backbone of your monetization strategy, and giving ample thought to what – and how – to monetize will pay long-term dividends both in economic terms as well as management ones. Today, we’re going to look at what API billing metrics actually are, and how they related to your long-term monetization strategy.

Retail media is the topic everyone is talking about in the retail and consumer goods industry. And for good reason: the $45 billion U.S. retail media market is surging as retailers capitalize on the consumer shift to ecommerce while offering advertisers access to their unique audiences and data insights. Many retailers developed their own retail media networks over the last few years, from digital marketplaces and department stores to commerce intermediaries.

The current state of AI, despite the relevant infancy of the tools, showcases promising potential. While human assistance is still needed, the convergence of chat UI and large language models allows users to ask for what they want in a natural language, and the technology is growing intelligent enough to respond or even take action.