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Agile: Optimise for velocity over predictability

Agile: Optimise for velocity over predictability

When it comes to agile estimation, quite often agile teams spend a big chunk of their time in …

Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Recently I was asked about content management systems (CMS) of the future - more specifically how …

Friends don't let friends build data pipelines

Friends don't let friends build data pipelines

Building data pipelines can offer strategic advantages to the business. It can be used to power new …

Why engaged teams are not always the best performers?

Why engaged teams are not always the best performers?

The assumption that engagement is somehow strongly correlated with performance is misplaced. …

ETL Workflow Modeling

ETL Workflow Modeling

Developing Extract–transform–load (ETL) workflow is a time-consuming activity yet a very important …

10 open-source Kubernetes tools for highly effective SRE and Ops Teams

10 open-source Kubernetes tools for highly effective SRE and Ops Teams

If you are running workloads in Kubernetes, your site reliability engineering (SRE) and operations …

5 data integration trends that will define the future of ETL in 2018

5 data integration trends that will define the future of ETL in 2018

ETL refers to extract, transform, load and it is generally used for data warehousing and data …

Kubernetes for Big Data Workloads

Kubernetes for Big Data Workloads

Kubernetes has emerged as go to container orchestration platform for data engineering teams. …

Getting started with Conduit - lightweight service mesh for Kubernetes

Getting started with Conduit - lightweight service mesh for Kubernetes

On this blog from very early on, we have advocated the concept of service mesh. In fact, our post a …