As a data engineer who has designed and managed ETL (Extract, Transform, Load) processes, I've witnessed firsthand the transformative impact of cloud-based solutions on data integration. Amazon Web Services (AWS) offers a suite of tools that streamline ETL workflows, enabling mid-market companies to move the big data to data stores such as Snowflake, data lake from different sources depending on use cases.

As a data engineer who has worked on building and managing various technical aspects of data pipelines over the years, I've navigated the intricate landscape of data integration, transformation, and analysis. In mid-market companies, where data-driven decision-making is pivotal, constructing efficient and reliable database pipelines allows you to store data in cloud data warehouses and carry out better data analysis or machine learning models.

Kong Konnect is Kong’s infrastructural SaaS solution. We run the control planes and API management applications for the data planes (API gateway and mesh) that are run by our customers to power their APIs. Some of the most critical traffic in the world goes through these data planes. The criticality of Konnect and therefore our customer’s uptime expectations of Konnect are very high.

In today's dynamic web development landscape, efficient test planning has become crucial for delivering high-quality applications. As we introduced in our post " Maintaining End-to-End Testing using Cypress with TestQuality", Cypress has emerged as a leading modern testing framework, offering real-time testing capabilities and superior developer experience.

For the past ten years, Astera has been serving enterprise customers to extract, integrate, and store data. Our solution has been trusted to handle large volumes of data with complicated needs. So what is it exactly that makes Astera the right choice for these enterprises?

Remember when you had to stand in long lines at the store, waiting for a cashier to check out your items? Or think back to when factories relied entirely on human hands to assemble products, one piece at a time. Fast forward to today, and self-checkout machines have made waiting in line a thing of the past, while robots on assembly lines are handling repetitive tasks with speed and precision.

2024 has been an exciting year in the world of embedded analytics and business intelligence. From self-service to AI-powered analytics, organizations are leveraging embedding analytics to set themselves apart from the competition. At insightsoftware, we deliver advanced analytics with Logi Symphony, which offers powerful self-service and managed dashboards, AI-driven assistance, and broader accessibility to users at every level.