Operations | Monitoring | ITSM | DevOps | Cloud

Deploying Elasticsearch in GKE with Elastic Cloud on Kubernetes

Dan Roscigno from Elastic will show you how to get started - from deploying a k8s cluster in GKE, to deploying the ECK Kubernetes Operator, and then deploying Elasticsearch and Kibana. After launching Kibana and enabling monitoring you will see the Elasticsearch cluster scale from one to three nodes.

Magecart - A Victim's Perspective

We’ve discussed Magecart very frequently in recent months and it’s getting worse, with new attacks coming to light on a weekly basis. At RapidSpike, we are committed to raising exposure on these types of attacks and educating companies as to how they can effectively detect data breaches and reduce their exposure to them.

YC leads $50M Series B in Mattermost as open source Slack alternative

Today, we’re delighted to announce that Y Combinator Continuity is leading a $50M Series B investment in Mattermost as an open source alternative to Slack and Microsoft Teams. With today’s announcement, Mattermost becomes YC’s largest ever Series B investment, and more importantly, their largest open source investment to date. YC is joined by our existing investors, Redpoint and S28 Capital, and new investor Battery Ventures.

Oetker Digital Migrates from Hipchat to Mattermost and Accelerates Digital Transformation

After migrating from Hipchat to Mattermost, Oetker Digital was able to innovate faster for its legendary parent company. The platform helped globally dispersed teams stay unified, productive, and focused as they collaborated on bold new digital initiatives for the enterprise.

Monitoring Machine Learning Models Built in Amazon SageMaker

Many data science discussions focus on model development. But as any data scientist will tell you, this is only a small—and often relatively quick—part of the data science pipeline. An important, but often overlooked, component of model stewardship is monitoring models once they’ve been released to the wild. Here we’ll aim to convince any unbelievers that monitoring deployed models is as important as any other task in the data science workflow.