Systems | Development | Analytics | API | Testing

Using Alamofire and integrating it with Bugfender

Its ability to simplify a variety of tasks such as making HTTP requests, handling responses, and managing network activities, has made Alamofire one of the most popular and powerful networking libraries in Swift. Today we’ll be looking at how Alamofire can be integrated with Bugfender to cut through the complexities of URLSession to streamline networking operations in our apps.

AWS and Confluent: Meeting the Requirements of Real-Time Operations

As government agencies work to improve both customer experience and operational efficiency, two tools have become critical: cloud services and data. Confluent and Amazon Web Services (AWS) have collaborated to make the move to and management of cloud easier while also enabling data streaming for real-time insights and action. We’ll be at the AWS Public Sector Summit in Washington, DC on June 26-27 to talk about and demo how our solutions work together.

AI for APIs: Unlock Growth and Efficiency

AI-powered tools can enhance API marketplace management by automating various tasks such as API discovery, onboarding, and governance. Advanced recommendation systems can match developers with relevant APIs based on their preferences and project requirements, facilitating faster adoption and increasing transaction volumes within the marketplace.

What is API Monitoring? Best Practices to Track API Performance and Metrics

API downtime can cost businesses an average of $140,000 to $540,000 per hour. Maintaining reliable and high-performing APIs has become critical for any digital business’s success, with much at stake. This scenario is where API monitoring steps in. An important part of API management, monitoring API metrics allows organizations to detect issues rapidly and optimize their API performance.

Data Lineage: A Complete Guide

Data lineage is an important concept in data governance. It outlines the path data takes from its source to its destination. Understanding data lineage helps increase transparency and decision-making for organizations reliant on data. This complete guide examines data lineage and its significance for teams. It also covers the difference between data lineage and other important data governance terms and common data lineage techniques.

Snowflake: Automate tuning for data cloud speed and scale

40% of companies surveyed will increase their AI investment because of advances in GenAI (McKinsey). And 80% plan to maintain or increase their investment in data quality/observability (dbt). With this in mind, Unravel is hosting a live event to help you leverage data observability to achieve speed and scale with Snowflake. Join Unravel Data for this event about automating tuning with AI-powered data performance management for Snowflake with Eric Chu, Unravel Data VP of Product, and Clinton Ford, Unravel Data VP of Product Marketing.