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Case Study - Kubernetes and Tremor Sidecars

· 3 min read

Happened Before

The simplified architecture of our systems is currently:

old pipeline

Identified Need

Wayfair’s technology organization is continuously expanding, evolving and growing. When work on tremor began we were running almost entirely in our own data centres, on our own hardware.

Today, we are running largely in the cloud. Whether cloud-native or bare-metal the sidecar pattern has proven to be a significantly popular deployment pattern with tremor-based systems in production at Wayfair.

Tremor is equally happy with clustered ( just a bunch of event processors ) centralized deployments or with sidecar deployments; on containerized virtual machines, or alongside our growing Kubernetes estate.

With the rise of Kubernetes and cloud-native at Wayfair - we had an interesting challenge as an infrastructure organization serving the 1000’s of developers in our wider technology group. How do we continue to deliver a single pane of glass to our developers?

Although the over-simplified architecture diagram above looks simple - its far more complex in practice. We have multiple independent search and visualization clusters. And we have many more infrastructure services and clusters sitting behind these frontends.

For our application developers - this looks like a vanilla installation of ElasticSearch and Kibana. In reality its an always-changing and forever-speciating set of services running 24x7x365 offering a single-pane-of-glass for our developers convenience.

By this state of use case evolution and adoption of Tremor at Wayfair - tremor is at the centre of a lot of the internal data distribution and processing - whilst offering no protocols, APIs or transports of its own - entirely invisible to our target developer community.

Our Kubernetes team developed helm charts for tremor to preserve the convenience of this illusion; whilst accelerating the operationalisation of our emergent cloud-native infrastructure services.

Required Outcome

Boldly go cloud-native, in such a way that no-one truly notices.


No new features or capabilities were developed for this use case by the tremor team.


Adopt helm-based deployments of tremor for our cloud-native and kubernetes-enabled applications and services. The helm charts have since been open sourced in collaboration with our Kubernetes Team as a part of tremor, and have been extended to support OpenShift by the tremor community ( waves to Anton Whalley of Rust Dublin fame! ).

Tremor Helm Charts


Shortly before tremor was open-sourced and donated to the Linux Foundation it became cloud-native itself through the combined efforts of the Infrastructure group at Wayfair - especially our Platform Engineering, SRE’s and our Kubernetes teams' hard work.

We hope to productize and open source other solution packs that enable the wider tremor community to quickly bootstrap production environments based on the tremor-based systems we already have in productioning in our Logging, Metrics, Observability, Kubernetes and Search teams.

In a large way - the early successes of tremor and our adoption of cloud-native and cloud-based computing aligned the goals of the tremor project with those of the Linux Foundation and the Cloud Native Compute Foundation where tremor is now an early stage sandbox project.

If you’re reading this - and the work and philosophy resonates with your organization, your people and you believe similar benefits could elevate your production environments - then please reach out to us in the tremor community and get involved, join us and help us shape tremor’s future.