Articles tagged with "aws"

When leveraging AWS services such as EC2, ECS, or EKS, achieving standardized and automated image creation and configuration is essential for securely managing workloads at scale. The concept of a Golden AMI is often used in this context. Golden AMIs represent pre-configured, hardened and thoroughly tested machine images that encompass a fully configured operating system, essential software packages, and customizations tailored for specific workload. It is also strongly recommended to conduct comprehensive security scans during the image creation process to mitigate the risk of vulnerabilities. By adopting Golden AMIs, you can ensure consitent configuration across different environments, leading to decreased setup and deployment times, fewer configuration errors, and a diminished risk of security breaches. In this blog post, I would like to demonstrate how you can leverage AWS CodePipeline and AWS Stepfunctions, along with Terraform and Packer, to establish a fully automated pipeline for creating Golden AMIs.

Galeria Karstadt Kaufhof and tecRacer have been collaborating on developing Galeria’s Cloud Platform for many years with tecRacer as their Go-To Partner for everything related to AWS. The work we have been doing ranges from designing, setting up and operating their landing zone and network infrastructure, managing platform security and cost optimizations all the way to deploying complex system architectures such as Kubernetes. Most notably, we have been one of their trusted partners when it comes to their SAP infrastructure on AWS and have supported in many successful SAP system deployments.

In AWS EKS clusters, there are a couple of use cases for which all pods of a namespace should be automatically scheduled to specific nodes in Kubernetes, including: Clear allocation of data plane infrastructure (and costs) to teams in large organizations, Running critical workloads on on-demand nodes and not on spot nodes, or Using specific hardware, such as GPU, only by workloads that actually require it. In this post, we will explore how to facilitate that in EKS.

When implementing a hybrid cloud solution and connecting your AWS VPCs with corporate data centers, setting up proper DNS resolution across the whole network is an important step to ensure full integration and functionality. In order to accomplish this task, Route53 Inbound and Outbound endpoints can be used. In combination with forwarding rules, they allow you to forward DNS traffic between your AWS VPC and on-premises data centers. In this blog post, I would like to show you how you can leverage Route53 endpoints in combination with Terraform to establish seamless DNS query resolution across your entire hybrid network.

Amazon DocumentDB is a fully managed native JSON document database that is mostly compatible with MongoDB. Why mostly? Because it it has a few functional differences from MongoDB and some MongoDB features are not supported. Despite from these limitation, customers benefit from a managed database service that has built-in security, backup integration, scalability and fault-tolerance. This rids customers from many operational burdens. AWS DMS (Database Migration Service) supports the migration from MongoDB to DocumentDB. Apart from the functional evaluation, pricing should of course be taken into consideration before migrating to DocumentDB as well.

Velero is a tool to backup the kubernetes cluster state and its persistent volumes. It can be used for disaster recovery or cluster migration. Please refer to the official documentation for a more comprehensive description of use cases. This article describes the baseline setup for the backup to ease the start of backing up your EKS clusters.

Scaling down workloads at night or at the weekends is a common implementation task for companies building on AWS. By running only the applications that need to be available at any point in time, the total consumption of infrastructure resources can be reduced, and thus customers can benefit from the pay-by-use pricing models of cloud providers.

kube-bench is a tool for checking kubernetes clusters against requirements defined in the CIS Benchmark. The tool runs locally on a kubernetes node, performs its checks and prompts the outputs to the shell or to files. This is quite unhandy, because it means that a user needs to pick up the logs, store them somewhere and analyze them. A deployment of the tool via kubernetes can ease the process for example with the kubectl logs command, but it is still far from perfect. Luckily, there is an integration in AWS Security Hub.