Accelerating Analytics with Apache Spark and Kubernetes

This blog explores Cevo’s Apache Spark on AWS EKS solution, designed to solve some of the challenges of big data analytics.
Enabling A CIS Compliant EKS Release Pipeline

This blog explores continual compliance in line with Center of Internet Security (CIS) benchmarks within an EKS release pipeline.
Inside The Hive with Coco Li

Learn about Coco Li’s career journey, what she loves about working at Cevo, and her tips for other women entering the IT industry.
ReactJS Starter Kit – Batteries Included

This blog explores some of the most popular and up-and-coming libraries you can use as a starting point for your ReactJS project.
NestJS – Supercharging Node.js Applications

This blog explores the architecture of NestJS, a progressive Node.js framework, and guides you though set up of a basic API using Typescript.
In AI We Trust – Part 1

This blog explores the key ingredients that make for a successful machine learning use case, and the importance of finding the right balance.
How to configure Kafka consumers to seek offsets by timestamp

We will discuss how to configure the Kafka consumer to seek offsets by timestamp where topic partitions are dynamically assigned by subscription. Docker Compose is used for building a single node Kafka cluster and running multiple consumer instances.
ReactNative CI/CD integrated with virtual mobile device testing

This post demonstrates how to build an artefact from a ReactNative source code using Bitrise, and do automated testing on virtual devices.
Exploring Multi-Tenant SaaS Architecture on AWS

This post explores the key considerations for architecting for multi-tenancy, including deployment and isolation models and operations.
Data Build Tool (dbt) for Effective Data Transformation on AWS – Part 5 Athena

The data build tool (dbt) is an effective data transformation tool and it supports key AWS analytics services – Redshift, Glue, EMR and Athena. In part 5 of the dbt on AWS series, we discuss data transformation pipelines using dbt on Amazon Athena. Subsets of IMDb data are used as source and data models are developed in multiple layers according to the dbt best practices.