Nowadays, Agile and DevOps practices demand rapid iterations and continuous testing to ensure software quality. Manual testing alone can’t keep up with this speed, making test automation important to continue delivering high-quality products at a rapid rate. Despite its advantages, test automation isn’t as simple as writing and running a few scripts.

Open source LLMs continue to compete with proprietary models on performance benchmarks for natural language tasks like text generation, code completion, and reasoning. Despite having fewer resources than closed models, these open LLMs offer cutting-edge AI without the high costs and restrictions of proprietary models. However, running these open-source models in production and at scale remains a challenge.

Why would a well-running business consider DevOps Implementation? Implementing DevOps promotes swift software building and shipping through iterative outcomes and individual changes. For instance, the team scheduled a midnight deployment. However, an unexpected bug caused a system crash. The team spent hours fixing the issues and restoring services. The next question is, could we have prevented this?

Snowflake is expanding its AI capabilities with the public preview of Cortex Agents, to help retrieve data insights by orchestrating across structured and unstructured datasets. Cortex Agents streamlines agentic application data access and orchestration for more reliable AI-driven decisions by building on top of enhancements to our Cortex AI retrieval services.

Have you ever spent hours troubleshooting a failed ETL job only to realize the issue was due to poor pipeline design? If so, you're not alone. Data pipeline architecture is the backbone of any data integration process, ensuring data flows efficiently from source to destination while maintaining quality, accuracy, and speed.

Did you know that 60% of businesses that experience a data breach go out of business within six months? Protecting customer data isn't optional—it's a business requirement. To handle sensitive customer data, your business must prove the use of stringent security measures that create trust with clients while fulfilling regulatory specifications. SOC 2 certification provides the solution in this situation.

Discover how NAB, RBI, and Blend use Fivetran to deliver real-time insights, improve reporting, and enhance customer experiences with AI in financial services.

If you are working with ML models, having a reliable CI/CD (Continuous Integration and Continuous Deployment) workflow isn’t just a nice-to-have, it’s essential. Your team needs a robust, automated process to validate data, train models, and deploy them without human error slowing things down. That’s where ClearML comes in, offering a seamless solution to orchestrate, monitor, and automate your ML pipelines.

Confluent and AWS Lambda can be used to build scalable and real-time event-driven architectures (EDAs) that respond to specific business events. Confluent provides a streaming SaaS solution based on Apache Kafka and built on Kora: The Cloud-Native Engine for Apache Kafka, allowing you to focus on building event-driven applications without operating the underlying infrastructure.