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How requests flow from the Edge to the Core and through our Service Mesh

Here at Koyeb, we're kind of crazy about providing the fastest way to deploy applications globally. As you might already know, we're building a serverless platform exactly for this purpose. We recently wrote about how the Koyeb Serverless Engine runs microVMs to host your Services but we skipped a big subject: Global Networking. Global Networking is a big way of saying "How are my requests processed?".

How to Dockerize an Existing Node.js Application

Docker is a software platform that enables packaging an application into containers. These containers represent isolated environments that provide everything necessary to run the application. Dockerizing an application refers to packaging it in a Docker image to run in one or more containers. Dockerizing an application involves specifying everything needed to run the application in a Dockerfile and then using the file to build a specialized Docker image that can be shared to multiple machines.

How to Migrate a MuleSoft API to Kong Gateway in 5 Minutes

These days, a lot of companies are moving towards cloud native applications and declarative configurations. This is also true for the traditional API gateways (e.g., MuleSoft, Axway, etc). Customers are looking for new technologies which fit better in their cloud environments and also are faster and cheaper. The main challenge here is how to migrate the existing APIs to the new platform.

Building a Multi-Region Service Mesh with Kuma/Envoy, Anycast BGP, and mTLS

We're kind of crazy about providing the fastest way to deploy applications globally. As you might already know, we're building a serverless platform exactly for this purpose. We recently wrote about how the Koyeb Serverless Engine runs microVMs to host your Services but we skipped a big subject: Global Networking. Global Networking is a big way of saying "How are my requests processed?". A short answer is: requests go through our edge network before reaching your services hosted on our core locations.

How Automation Leads to More Meaningful Work in Financial Services

In the financial services industry, it is common for employees to spend significant time on manual, repetitive tasks that need to be completed with high speed and accuracy. Complex processes like customer onboarding, mortgage lending, and customer service are filled with routine tasks like data entry, invoice processing, response tracking, and reminders. Automation frees employees from rote tasks that are better suited to simple bots, resulting in both financial and opportunity cost savings.

5 Tips for Pushing Data from Your Warehouse to Salesforce

Salesforce is the most popular CRM (customer relationship management) platform in the world. As last count, the Salesforce CRM enjoyed a 20 percent market share, with more than 150,000 companies among its customers. One of Salesforce’s best features is its ability to run business intelligence (BI) and analytics workloads to identify hidden trends and insights and make smarter decisions for your sales, marketing, and customer support teams.

5 Best Practices for Successful Microservices Implementation

Microservices are a popular and modern organizational software engineering practice. The guiding principle of any microservices implementation is to develop an application by dividing its business components into smaller services that can be deployed and operated independently of each other. The separation of concerns between services is defined as “service boundaries.”

Introducing Self-Service, No-Code Airflow Authoring UI in Cloudera Data Engineering

Airflow has been adopted by many Cloudera Data Platform (CDP) customers in the public cloud as the next generation orchestration service to setup and operationalize complex data pipelines. Today, customers have deployed 100s of Airflow DAGs in production performing various data transformation and preparation tasks, with differing levels of complexity.