| Comments

Improving Record Linking for our Knowledge Graph (Part 2)

Meltwater recently released a new product feature called Signals, which helps our customers to identify business-critical events.

In a previous post we introduced the concept of record linking, and presented our first approach for merging information from multiple sources for our Knowledge Graph.

In this second post, we share how we improved those initial models based on user feedback and analysis of learning features, and also present formal evaluation metrics.

| Comments

The Record Linking Pipeline for our Knowledge Graph (Part 1)

Meltwater recently released a new product feature called Signals, which helps our customers to identify business-critical events. One of the technical systems powering these Signals is a custom-built Knowledge Graph.

In this post we explain how we created a record linking service that utilizes machine learning and big data tactics to cluster millions of related entities from various sources with high accuracy for our Knowledge Graph.

As we are going pretty deep into the material, this post is intended for software engineers with an interest in data science or data engineering.

| Comments

Let's Talk about Feelings!

The Meltwater Engineering teams have always been doing a lot of remote collaboration, due to the distributed nature of our company. Still, we have to get used to the work-from-home situation where we cannot even meet the colleagues in our own offices.

In this post Niall Burkley from our middleware team shares a simple standup routine to remind us that “we’re all people” after all. This can support your growth as a remote team.

You find more articles like these on Niall’s blog niallburkley.com.

| Comments

Tech Talk: Scalability Testing of a Production Kubernetes Cluster

In early spring 2018 Kubernetes went into Production at Meltwater and has seen great adoption from a lot of our engineering teams. Our Kubernetes cluster went from hosting 150 services at the end of 2018 to more than 800 services 9 months later.

As part of our involvement in the Cloud Native Nordics community, we recently gave a tech talk there where the team managing our Kubernetes cluster shared what they learned about scalability testing Kubernetes.

| Comments

The Journey To Front-End Performance  —  Assessing Current Performance

Our Application Framework team was tasked with assessing and improving application performance. Analyzing performance across the globe is challenging. The architectural layout of Meltwater’s application, as well as the way we organize our teams, lead to various challenges.

This is the first post in a series about front-end performance. We will share how our Application Framework team went about assessing the current performance of our app. Continual monitoring and relative metrics are a cornerstone to build from when focusing on performance. Here is how we laid our cornerstone.