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Cloud

Securing Multi-Cloud Environments: Challenges and Best Practices

The adoption of multi-cloud environments has increased as businesses recognize their numerous advantages. A company is considered multi-cloud when it leverages cloud services from two or more providers for its applications and operations. Unlike a single-cloud setup, multi-cloud systems often involve the integration of both private and public clouds or a combination of the two.

Unleashing the Power of Amazon Redshift Analytics

Table of Contents Amazon Redshift has become one of the most popular data warehousing solutions due to its scalability, speed, and cost-effectiveness. As the data landscape continues to evolve, businesses are generating and data processing increasingly large datasets. Efficient analysis of these datasets is essential to making informed, data-driven decisions. Amazon Redshift allows companies to extract meaningful insights from vast amounts of structured and semi-structured data.

The Cloud Exit: Cost, Security, and Performance Driving the Move Back to On-Premises

The last decade has seen a giant shift by organizations into the cloud for software, storage, and compute, resulting in business benefits ranging from flexibility and lower up-front costs to easier maintenance. But lately we have seen more and more companies re-evaluating their cloud strategies and opting to move their data back to on-premises infrastructure due to several key factors.

Katalon Delivers End-to-End Test Automation Solution on AWS Marketplace

“We build our solution on top of an AWS stack. It frees us up to think about creating innovative solutions and not worry about infrastructure”- Vu Lam, CEO of Katalon In order to help enterprise customers release faster and deliver on time, Katalon has built an integration where automation scripts can be stored in AWS CodeCommit and an AWS CodePipeline project can execute them using the integration.

How to source data from AWS DynamoDB to Confluent using the Open-Source Connector

This is a one-minute video showing an animated architectural diagram of an integration between Amazon DynamoDB and Confluent Cloud using an open-source Kafka connector. The integration allows you to avoid maintaining custom code, and gives you the ability to automatically discover and adapt to changes in DynamoDB tables. All details are provided.

Volumes: High IOPS and Low Latency NVMe SSDs Public Preview

It’s the final day of Koyeb's Launch Week Round 2, and today we’re announcing the public preview of Volumes! Volumes on Koyeb are blazing-fast NVMe SSD you can use to persist data across deployments. After announcing Volumes in technical preview a few months ago, we are now opening the preview to all users on the Starter plan! Offering high throughput and low latency, Volumes open the door to a wide range of new workloads and use cases to handle the state of your applications.

What is a Cloud Database? Types & Benefits Explained

A cloud database is a database stored and managed on a cloud computing platform, rather than on local or company-owned servers. his setup allows users to access and manage their data remotely, using a range of tools and applications provided by the cloud service. Cloud databases come in various forms, including relational databases, NoSQL databases, and data warehouses.

Simplifying AWS Testing: A Guide to AWS SDK Mock

Testing AWS services is an essential step in creating robust cloud applications. However, directly interacting with AWS during testing can be complicated, time-consuming, and expensive. The AWS SDK Mock is a JavaScript library designed to simplify this process by allowing developers to mock AWS SDK methods, making it easier to simulate AWS service interactions in a controlled environment. Primarily used with AWS SDK v2, AWS SDK Mock integrates with Sinon.js to mock AWS services like S3, SNS, and DynamoDB.

AWS Regions Public Preview: Deploy on AWS in Minutes

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!

Paris and Tokyo Regions are now Generally Available

Today is Day 3 of Launch Week, and we are excited to announce not just one, but two new regions are generally available to deploy your low-latency AI workloads, full stack applications, APIs, and databases globally! Join us in welcoming Paris and Tokyo to the Koyeb platform and to a growing list of global locations where you can deploy your applications! As of today GA locations now include: Paris , Tokyo , Washington, D.C. , Singapore , and Frankfurt.