Articles tagged with "iac"

When discussing high performant real-time event streaming, Apache Kafka is a tool that immediately comes to mind. Optimized for ingesting and transforming real-time streaming data in a reliable and scalable manner, a great number of companies today rely on Apache Kafka to power their mission-critical applications and data analytics pipelines. In this blog series, I would like to show you how you can leverage Amazon MSK and Terraform to set up a fully managed, cross-account Apache Kafka streaming pipeline on AWS. In this first part, we will set up the MSK Kafka cluster and producers. The second part will show you how you can set up distributed Kafka clients in different AWS accounts and communicate with the MSK cluster via AWS VPC Endpoints.

When discussing high performant real-time event streaming, Apache Kafka is a tool that immediately comes to mind. Optimized for ingesting and transforming real-time streaming data in a reliable and scalable manner, a great number of companies today rely on Apache Kafka to power their mission-critical applications and data analytics pipelines. In this blog series, I would like to show you how you can leverage Amazon MSK and Terraform to set up a fully managed, cross-account Apache Kafka streaming pipeline on AWS. In the first part, we already set up the MSK Kafka cluster and producers. The second part will show you how you can set up distributed Kafka clients in different AWS accounts and communicate with the MSK cluster via AWS VPC Endpoints.

When setting up a Jenkins build server on a physical machine, right-sizing can become a challenging task. Long idle times followed by high, irregular loads make it hard to predict the necessary hardware requirements. One solution to this problem is the deployment of a containerized Controller/Agent-based Jenkins setup and to offload workloads to dedicated, transient agents. This is the first post of a three-post series. In this series, I would like to show you how you can leverage AWS Fargate and Terraform to deploy a serverless as well as fault-tolerant, highly available, and scalable Jenkins Controller/Agent deployment pipeline.

When setting up a Jenkins build server on a physical machine, right-sizing can become a challenging task. Long idle times followed by high, irregular loads make it hard to predict the necessary hardware requirements. One solution to this problem is the deployment of a containerized Controller/Agent-based Jenkins setup and to offload workloads to dedicated, transient agents. This is the second post of a three-post series. In this series, I would like to show you how you can leverage AWS Fargate and Terraform to deploy a serverless as well as fault-tolerant, highly available, and scalable Jenkins Controller/Agent deployment pipeline.

When setting up a Jenkins build server on a physical machine, right-sizing can become a challenging task. Long idle times followed by high, irregular loads make it hard to predict the necessary hardware requirements. One solution to this problem is the deployment of a containerized Controller/Agent-based Jenkins setup and to offload workloads to dedicated, transient agents. This is the third post of a three-post series. In this series, I would like to show you how you can leverage AWS Fargate and Terraform to deploy a serverless as well as fault-tolerant, highly available, and scalable Jenkins Controller/Agent deployment pipeline.

Proper version control is an essential part of a fast-paced, agile development approach and the foundation of CI/CD. Even though databases are an important aspect of nearly every application, database migrations, and schema evolutions are often not versioned and not integrated into the automation process. In this blog post, I would like to show you how you can leverage Flyway on AWS to version control your schema changes and automate your database migrations.

Keeping track of your passwords is already challenging in your personal life. It can be more difficult when you want to build and deploy secure applications in the cloud. Today we’ll show you a few ways of managing secrets in your Terraform deployment. We’ll teach you about common pitfalls like the random_password resource and more appropriate alternatives.

When deploying AWS infrastructure via Terraform, the usage of long-term IAM credentials is often the go-to method. Even though convenient, long-term credentials and secrets can pose a serious security risk to your organization if leaked. This post will show you how you can leverage AWS IAM OpenID Connect identity providers in combination with GitHub Actions and identity federation to implement a secretless Terraform deployment pipeline…using Terraform.