Systems | Development | Analytics | API | Testing

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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.

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.

Which Language Should Testers Use?

Should you design tests in the same language as the application you’re testing, or should you use the language you’re best at? @Hanson Ho recommends using the language that’s most popular in the application’s platform. This way, you’ll have more help available from the community. If you want more insights like this one, check out Test Case Scenario.

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.

Addressing the Elephant in the Room - Welcome to Today's Cloudera

Hadoop. The first time that I really became familiar with this term was at Hadoop World in New York City some ten or so years ago. There were thousands of attendees at the event – lining up for book signings and meetings with recruiters to fill the endless job openings for developers experienced with MapReduce and managing Big Data. This was the gold rush of the 21st century, except the gold was data.

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.

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 ️

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.

hDs Chapter 5 - Mastering the Data Journey: Quality, Governance, and Lineage for Informed Decision-Making

In the digital age, data is the lifeblood of organizations, driving strategies, innovation, and decisions. However, harnessing its power requires more than just collecting the data. It demands meticulous management of data quality, governance, and lineage. These pillars form the backbone of informed decision-making, enabling organizations to transform raw data into actionable insights. According to Gartner, poor data quality costs organizations an average of $12.9 million every year.