The new AWS Melbourne Region is live, is it ready for your workloads?
This blog explores the services currently available in the AWS Melbourne Region.
This blog explores the services currently available in the AWS Melbourne Region.
This blog explores Cevo’s Apache Spark on AWS EKS solution, designed to solve some of the challenges of big data analytics.
This blog explores continual compliance in line with Center of Internet Security (CIS) benchmarks within an EKS release pipeline.
This post demonstrates how to build an artefact from a ReactNative source code using Bitrise, and do automated testing on virtual devices.
This post takes you through how to build a small CRUD application using the new Amazon Web Services (AWS) Honeycode interface.
As more companies move to the cloud with AWS, many are finding success in adopting multi-account architecture to house their various workloads. This article is a non-exhaustive guide on some of the steps which need to be taken before you begin your account migration journey.
We’ll discuss how to provision and manage Spark jobs on EMR on EKS with Terraform. Amazon EKS Blueprints for Terraform will be used for provisioning EKS, EMR virtual cluster and related resources. Also Spark job autoscaling will be managed by Karpenter where two Spark jobs with and without Dynamic Resource Allocation (DRA) will be compared.
This post takes you through the steps required to privately host the React application in AWS, including design architecture, installation of dependencies, a link to Git repository, creating React app, Dockerfile and Nginx configuration, creating necessary AWS services, login to AWS and creating the Makerfile.
We’ll discuss limitations of the Lambda invoke function operator of Apache Airflow and create a custom Lambda operator. The custom operator extends the existing one and it reports the invocation result of a function correctly and records the exact error message from failure.
We’ll discuss how to build a serverless data processing application using the Serverless Application Model (SAM). A Lambda function is developed, which is triggered whenever an object is created in a S3 bucket. 3rd party packages are necessary for data processing and they are made available by Lambda layers.