Systems | Development | Analytics | API | Testing

AWS Lambda has become a cornerstone of serverless architecture, enabling developers to run code without provisioning or managing servers. However, as applications grow, managing shared code, dependencies, and runtime configuration across multiple Lambda functions becomes challenging. This is where Lambda Layers step in to streamline development and deployment. In this blog we will explore what Lambda Layers are, why they are needed, how they work, and much more.

Today enterprises can leverage the combination of Cloudera and Snowflake—two best-of-breed tools for ingestion, processing and consumption of data—for a single source of truth across all data, analytics, and AI workloads. But now AWS customers will gain more flexibility, data utility, and complexity, supporting the modern data architecture.

For organizations looking to accelerate their Azure adoption while maintaining control, security and reliability, Fivetran provides a best-in-class solution that consistently outperforms ADF.

Snowflake combines unmatched scalability, performance, and ease of use. It simplifies the complexities of traditional data warehousing, enabling businesses to store and analyze data at scale without the overhead of infrastructure management. But to truly unlock the power of Snowflake, businesses need an efficient and secure way to move data into it.

Today, we are excited to announce the availability of Volume Snapshots in public preview! Snapshots are an essential feature to backup your High-Performance Volumes, simplify data management and allow reproducibility. With Snapshots, you can create an immediate point-in-time copy of your Volumes with a simple CLI command or click, enabling: Volumes and Snapshots are available today in our Frankfurt, EU and Washington, US regions!

In the fast-paced world of mobile app development, a seamless, secure, and adaptable CI/CD process is essential. Bitrise has established itself as a leader in this domain, providing a mobile-focused CI/CD platform that allows you to automate all your build, test, and deployment workflows. But what if regional restrictions, data sovereignty, or compliance regulations prevent your organization from implementing a managed CI infrastructure like Bitrise?

The rise of generative AI models are spurring organizations to incorporate AI and large language models (LLMs) into their business strategy. After all, these models open up new opportunities to extract greater value from a company’s data and IP and make it accessible to a wider audience across the organization. One key to successfully leveraging gen AI models is the ability to share data.

Raw data from IoT devices, like GPS trackers or electronic logging devices (ELDs), often lacks meaning on its own. However, if combined with information from other business systems, such as inventory management or customer relationship management (CRM), this data can now provide a richer, more complete picture for more effective decision-making. For example, combining GPS data with inventory levels can optimize logistics and delivery routes.

On a day-to-day basis, Snowflake teams identify opportunities and help customers implement recommended best practices that ease the migration process from on-premises to the cloud. They also monitor potential challenges and advise on proven patterns to help ensure a successful data migration. This article highlights nine key areas to watch out for and plan around in order to accelerate a smooth transition to the cloud.