It is necessary to test web apps and ensure that they perform according to user requirements in order to provide a high-end user experience. There are several tools and frameworks available on the market for testing online applications, including Playwright, Cypress, and Selenium to mention a few.
Have you ever paid a bill for electricity, internet, or water? Was that bill based upon the amount of resources you used?
Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Administrators, developers, and data engineers who use Kafka clusters struggle to understand what is happening in their Kafka implementations.
What are the best practices of the mobile team behind one of the world’s leading buy-and-sell platforms for improving productivity and the developer experience? Read on for the five main learnings from our recent customer story.
Review your applications in detail with CPU Profiles in N|Solid and find opportunities for Improve code. You can use the CPU Profiler tool in N|Solid to see which processes consume the most percentage of CPU time. This functionality can give you an accurate view of how your application is running and where it is taking up the most resources.
It is not unusual for customers to load very large data sets into their enterprise data warehouse. Whether you are doing an initial data ingestion with hundreds of TB of data or incrementally loading from your systems of record, performance of bulk inserts is key to quicker insights from the data. The most common architecture for batch data loads uses Google Cloud Storage(Object storage) as the staging area for all bulk loads.
Government organizations have a bad rap for being inefficient. But with outdated technology and limited spending, they aren’t exactly set up for success. And the expectations from stakeholders are high, with funding provided primarily by taxpayer dollars.
