Tag: Amazon EKS

Introduction When adopting a Kubernetes platform, architect teams are often highly focused on INGRESS traffic patterns. Why? Kubernetes has a first-class support for in-cluster traffic flows as well as into-cluster traffic flow implemented by ClusterIP and the INGRESS constructs .The object model allows the load balancing of Kubernetes pods natively and also extends the constructs […]

Introduction The adoption and large-scale growth of Kubernetes in recent years has resulted in businesses deploying multiple Amazon Elastic Kubernetes Service (Amazon EKS) clusters to support their growing number of microservice based applications. The Amazon EKS clusters are usually deployed in separate Amazon Virtual Private Clouds (Amazon VPCs) and often in separate AWS accounts. A […]

Introduction In microservices architectures, teams often build and manage internal applications that they expose as private API endpoints and publicly expose those endpoints through a centralized API gateway where security protections are centrally managed. These API endpoints allow both internal and external users to leverage the functionality of those applications. The separation of concerns between […]

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. […]