Systems | Development | Analytics | API | Testing

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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.

Ensuring the performance of your Kafka-dependent applications

In today’s data-driven world, Apache Kafka has emerged as an essential component in building real-time data pipelines and streaming applications. Its fault tolerance, scalability, and ability to handle high throughput makes it a great choice for businesses handling high volumes of data.

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.

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 Fabric Implementation: 6 Best Practices for IT Leaders

Trying to integrate data without knowing your starting point is like taking a road trip without a map—you’re bound to get lost. To navigate the challenges of data integration, IT leaders must first evaluate their current data setup. This means taking stock of all your data sources, understanding their quality, and identifying integration points. It’s like conducting a thorough inspection before renovating a house; you must know what you’re working with.

New features in Helix Core and P4V 2024 #perforce #devops #versioncontrol #branching

Learn about the newest features in Helix Core and P4VIn our latest updates, you can now accelerate your development with lightweight branching via Sparse Streams and improve performance with backup-eligible partitioned workspaces ️

Ingest Data Faster, Easier and Cost-Effectively with New Connectors and Product Updates

The journey toward achieving a robust data platform that secures all your data in one place can seem like a daunting one. But at Snowflake, we’re committed to making the first step the easiest — with seamless, cost-effective data ingestion to help bring your workloads into the AI Data Cloud with ease. Snowflake is launching native integrations with some of the most popular databases, including PostgreSQL and MySQL.