Performance Monitoring in GraphQL
Enrique Fueyo Ramírez is the Co-founder and CTO of Lang.ai. Here’s a post on how him and his team at Lang.ai instrumented performance monitoring for GraphQL resolvers.
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Enrique Fueyo Ramírez is the Co-founder and CTO of Lang.ai. Here’s a post on how him and his team at Lang.ai instrumented performance monitoring for GraphQL resolvers.
As APIs become more complex, it can be easy to accidentally break connections. To prevent this, Speedscale can automatically detect and make you aware of inbound and outbound transactions running through APIs in our API Dependency Graph. The Traffic Viewer dashboard makes this information visible to independent teams working on different services. In most organizations this information is usually only known by senior engineers, team leads, and architects.
Data is at the heart of every business today. But if we don’t understand the data or if the data isn’t accessible, it doesn’t do us much good. More important than the data itself is having the right data in the hands of the right people who can execute at the right time. This need has given rise to edge computing, which helps businesses glean insights from data by processing it as close to the source as possible.
Internet Of Things has always played a significant role in the retail industry, stocking and warehousing. And its value is projected to rise from USD 14.5 billion in 2020 to USD 35.5 billion by 2025, at a CAGR of 19.6% The term Internet of Things was coined by Kevin Ashton when he was faced with a challenge in logistics and supply chain management while he co-founded the MIT Auto-CAD centre.
Artificial intelligence is one of several hot technologies that have the potential to transform the face of combat in the next years. The Joint Artificial intelligence Center was established by the Department of Defense to win the artificial intelligence war. AI might enable autonomous systems to execute missions, achieve sensor fusion, automate activities, and make better, faster judgments than people, according to some visions. AI is quickly developing, and those objectives may be met shortly.
Today’s software testing trends show the growing demand for more efficient and automation-oriented API testing. Many of the current test automation solutions focus on the UI, while most API-level testing is still done manually. As a result, testers are in need of easy-to-use, intelligent automation tools for testing APIs — improving their productivity and efficiency, while also reducing time-to-market.