Kong AI Gateway Demo: Streamlining Multi-Provider LLM Usage, Security & Monitoring
Timestamps: This demo showcases the latest features and enhancements in Kong's AI Gateway, as of the June 2024 release.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
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Where Does Data Governance Fit Into Hybrid Cloud?
At a time when artificial intelligence (AI) and tools like generative AI (GenAI) and large language models (LLMs) have exploded in popularity, getting the most out of organizational data is critical to driving business value and carving out a competitive market advantage. To reach that goal, more businesses are turning toward hybrid cloud infrastructure – with data on-premises, in the cloud, or both – as a means to tap into valuable data.
Simple, Sustainable, and Secure Storage for Mid-sized Enterprises
The mid-sized enterprise is the fastest-growing market opportunity for data storage. But not just any storage system will do. These days, mid-sized enterprises must handle the complexities of unremitting data growth and distributed infrastructure, meet sustainability goals, manage the diverse storage needs of mission-critical applications, and respond to user requirements. Oh, and they need uninterrupted access to their data no matter what.
An Introduction to Active Data Governance
The way that companies govern data has evolved over the years. Previously, data governance processes focused on rigid procedures and strict controls over data assets. But now, with the data-driven culture, modern enterprises are adopting an agile approach toward data governance that primarily centers around data accessibility and empowering business users to take responsibility for governing and managing data.
Build maps in the cloud with BigQuery DataFrames, Gemini, and CARTO
Using BigQuery DataFrames with CARTO visualization tools can help Python users access cloud-native analytics and generative AI services.
Overcoming AI Adoption Challenges: A Fireside Chat with Marco Palladino
Timestamps: In this fireside chat, Marco Palladino, CTO & co-founder at Kong, takes questions from the audience.
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.
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.
Software Test Estimation & 6 Techniques
Software testing evolved from a simple debugging activity in the 1950s to becoming integral to software development with advanced testing tools and test estimation techniques. As a C-level executive or business developer, ensuring your teams provide accurate QA effort estimates is crucial. This precision influences the project outcome and bolsters your credibility with clients. Underestimating QA efforts can lead to potential underperformance and unclear requirements.
Using Asynchronous Events to enrich Fraud Detection | Designing Event-Driven Microservices
In this video, you will see an example of how Tributary bank uses asynchronous events to enrich its domain and protect its fraud detection system from failures.