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Koyeb

AWS Regions Public Preview: Deploy on AWS in Minutes

Sep 19, 2024 By Yann Léger In Koyeb
Today, we are thrilled to announce the public preview of AWS Regions on Koyeb! During last launch week, we introduced the private preview of AWS Regions. We announced our first region, the famous, us-east-1 (N. Virginia) region, and started onboarding our first users. What’s new with this public preview? In addition to the us-east-1 location now being available to everyone on the platform, you can now deploy to this region via the control panel and the CLI!
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databox

High Shopping Cart Abandonment Rate: Causes and Potential Solutions [Insights from 65+ Experts]

Sep 19, 2024 By Databox In Databox
Shopping cart abandonment is the silent killer of eCommerce profits. Despite businesses investing heavily in customer acquisition and optimizing user experience, cart abandonments are still a major issue. And for every abandoned cart, potential revenue slips through the cracks. But what exactly causes shoppers to abandon their carts? Is it the unexpected shipping costs, a complicated checkout process, or something else entirely?
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Current 2024 Keynote Day 1 - Data Streaming in the Age of AI

Sep 19, 2024 By Confluent In Confluent
Get ready to dive into the future of data! Jay Kreps and Confluent's top minds are set to reveal the next game-changing evolution of data infrastructure that effectively leverages AI and ubiquitous automation. Discover how leaders in professional services, media, and automotive industries are harnessing the power of Confluent's Data Streaming Platform and Data Products to revolutionize their operations. This is your chance to see how real-time data is driving innovation, transforming decisions, and propelling businesses into the future. The future is here—let's ignite it together!
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How to source data from AWS DynamoDB to Confluent using Kinesis Data Streams and Connect

Sep 19, 2024 By Confluent In Confluent
This is a one-minute video showing an animated architectural diagram of an integration between Amazon DynamoDB and Confluent Cloud using Kinesis Data Streams and the Kinesis Data Streams connector. It’s a fully managed and serverless solution that reduces operational complexity and leverages scalability and cost-effectiveness.
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dreamfactory

What is the Strangler Pattern? A Complete Overview

Sep 19, 2024 By Terence Bennett In DreamFactory
Modernizing legacy systems is often a daunting task, often filled with risks and uncertainties. The Strangler Pattern offers a proven, incremental approach to replace these outdated systems by gradually building new features around them, eventually phasing out the old system. The Strangler Pattern is a software modernization strategy that incrementally replaces parts of a legacy system with new functionality, allowing both systems to coexist until the legacy system is fully phased out.
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speedscale

Setting Up Efficient Kubernetes Environments for Developers

Sep 18, 2024 By Kush Mansingh In Speedscale
Kubernetes has transformed how developers build, test, and deploy applications, providing a consistent platform for managing containerized workloads. Setting up efficient Kubernetes clusters is crucial for streamlining the development process, reducing time-to-market, and ensuring that applications run reliably from development to production.
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honeybadger

Practical strategies for Laravel performance optimization

Sep 18, 2024 By Samson Omojola In Honeybadger
Laravel is the most popular PHP framework for building web applications and is loved for its elegance, simplicity, and scalability. However, like any other framework for web development, Laravel can experience performance issues if it’s not optimized for high performance. Laravel performance problems aren't usually due to the framework itself, but rather some suboptimal choices in the application.
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snowflake

9 Ways AI Can Uplevel Your Business Right Now

Sep 18, 2024 By Snowflake In Snowflake
As the frenzied hype around generative AI cools off and as we get into the year of ideation, earlier adopters of AI are starting to see the results of initial experimentation. And these conversations are increasingly shifting to a more problem-oriented mentality. A lot of people were understandably swept up in the excitement of all that AI can do, only to find that some use cases were too risky or that those problems could be solved with traditional methods that were less costly.
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