Category: Amazon Elastic Kubernetes Service

Introduction In recent years, there’s been a remarkable surge in the adoption of Kubernetes for data analytics and machine learning (ML) workloads in the tech industry. This increase is underpinned by a growing recognition that Kubernetes offers a reliable and scalable infrastructure to handle these demanding computational workloads. Furthermore, a recent wave of Generative AI […]

Introduction Karpenter is a Kubernetes node lifecycle manager created by AWS, initially released in 2021 with the goal of minimizing cluster node configurations. Over the past year, it has seen tremendous growth, reaching over 4900 stars on GitHub and merged code from more than 200 contributors. It is in the process of being donated to […]

Introduction Amazon Elastic Kubernetes Service (Amazon EKS) with AWS Fargate provides serverless compute for containerized workloads that run on Kubernetes. By eliminating the need for infrastructure management with AWS Fargate, customers can avoid the operational overhead of scaling, patching, and securing instances. AWS Fargate provides a secure and a controlled environment for container execution. Consequently, […]

This post was co-written with Derek Brown, Infrastructure Engineer, Lacework Introduction Lacework is a security platform that automatically monitors and detects misconfigurations and security vulnerabilities across our customers’ cloud environments. Lacework takes a data-driven approach to alerting and detection, consuming trillions of events from a huge list of sources including eBPF, Kubernetes Audit Logs, cloud […]

This post was created in collaboration with Lutfi Ichsan Effendi, IT Cloud engineer at Telkomsel. Introduction About Telkomsel Telkomsel is a leading digital telecommunication company in Indonesia. Established in 1995, Telkomsel currently has 151 million subscribers with more than 121 million mobile data users. Telkomsel has multiple services from Digital Connectivity, Digital Platform, as well […]

Introduction Containers have become the go-to solution for deploying modern and scalable applications. The boot time of these containers can present a significant challenge, particularly when dealing with workloads that require large container images. For instance, data analytics and machine learning workloads often involve images that exceed 1 GiB in size. When running these types […]

Introduction With the availability of Generative AI models, many customers are exploring ways to build chatbot applications that can cater to a wide range of their end-customers, with each instance of chatbot specializing on a specific tenant’s contextual information, and run such multi-tenant applications at scale with a cost-efficient infrastructure familiar to their development teams. […]

March 2024: This blog has been updated for Karpenter version v0.33.1 and v1beta1 specification. Introduction Cluster autoscaler, has been the de facto industry standard autoscaling mechanism on kubernetes since the very early version of the platform. However, with the evolving complexity and number of containerized workloads, our customers running on Amazon Elastic Kubernetes Service (Amazon […]

Introduction Amazon VPC Lattice is a fully managed application networking service built directly into the AWS network infrastructure that you use to connect, secure, and monitor all of your services across multiple accounts and virtual private clouds (VPCs). With Amazon Elastic Kubernetes Service (Amazon EKS), customers can use Amazon VPC Lattice through the use of […]

Introduction When the margin for error is razor thin, it is best to assume that anything that can go wrong will go wrong. AWS customers are increasingly building resilient workloads that continue to operate while tolerating faults in systems. When customers build mission-critical applications on AWS, they have to make sure that every piece in […]