Today marks a monumental milestone: Autoscaling is now in public preview and available to all our users. Don't like to wake up in the middle of the night to scale up? Do you still have nightmares of the time you forgot to scale down your cloud infrastructure? Autoscaling is the answer: we adjust infrastructure to demand dynamically. We built our autoscaling feature to be: Autoscaling is powerful and raises some questions: It was the most requested feature on our feedback platform with new regions.

Since we launched the Open Preview of our serverless Apache Flink® service during last year’s Current, we’ve continued to add new capabilities to the product that make stream processing accessible and easy to use for everyone. In this blog post, we will highlight some of the key features added this year.

We are proud to announce the release of Apache Kafka® 3.7.0. This release contains many new features and improvements. This blog post will highlight some of the more prominent features. For a full list of changes, be sure to check the release notes. See the Upgrading to 3.7.0 from any version 0.8.x through 3.6.x section in the documentation for the list of notable changes and detailed upgrade steps.

When you ask customers what key features they want in a software system, you’ll receive many answers. Most of them will be specific technical features like viewing, order history, or the ability to easily save favorites. Yet when given a system that contains everything they asked for, the customers’ first responses are often along the lines of “It feels a little slow.” Nowhere is the impact of poor performance felt so keenly than in the retail application space.

This blog was developed and published in collaboration with our partner, Capgemini. Organizations must move away from outdated methods of SAP delivery as they transition to S/4HANA and the cloud environment. The old school SAP approaches are no longer adequate for today’s requirements. They stem from the time in the 1990s and early 2000s when the enterprise resource planning (ERP) estate remained somewhat stagnant.

Today, I’m excited to announce Hansoft is now named Helix Plan! This name change has been a long time coming, and I believe it not only better reflects where our product stands today, but it also helps us align with the future direction of Perforce. Having worked with Hansoft for over a decade, I’ve had a front row seat to the incredible journey our team and product has been on.

Snowflake Marketplace is a vibrant resource, with hundreds of providers offering thousands of ready-to-try or ready-to-buy third-party data sets, applications and services. Many of these providers make their products available on Snowflake Marketplace for Snowflake customers to purchase — and they use our integrated Marketplace Monetization capabilities to simplify the process and speed up procurement and sales cycles.

Just a couple decades ago, human resource departments didn’t look for data product managers. The job didn’t exist because organizations rarely needed professionals to oversee data products and the teams that build them. They might have employed data scientists, but they didn’t need people focused on management more than they focused on data.

Prior to 2022, a lot of the AI news centered on use cases like self-driving cars. Of course, use cases like these didn’t exactly apply to enterprise software. In 2023 ChatGPT showed the abilities of AI to mimic human language, but still, this only scratched the surface of AI applications for the modern enterprise. If you’ve ever asked yourself, “What is AI capable of?” then consider the following examples: How many emails do you get per day?

When it comes to cloud data warehousing, the choice between Snowflake vs BigQuery is crucial for businesses that rely on big data analytics for decision-making. Snowflake, known for its flexibility and ease of use, contrasts with BigQuery, Google’s fully-managed, serverless data warehouse that excels in speed and scalability. Understanding the main differences between these two platforms is essential for selecting the right solution that aligns with your data strategy and operational needs.