The major PlaidCloud service update completed today at 1pm EST. This migration process took longer than we anticipated due to some challenges with flooding the project history. After some brainstorming on how to workaround this initial batch loading we were able to push ahead. We appreciate your patience and hope the wait was worth it for you.

We are continuing validation of the system to make sure there are no hidden issues that made it through testing. Currently, all systems look good. Please let us know if you see anything out of ordinary and we will quickly fix it.

So what’s the big deal about this upgrade (caution technical)?

In this upgrade we rolled out three important things that normally would be large implementations. We moved our entire infrastructure to Docker containers. Then we orchestrate those containers using Kubernetes, and moved our Analyze control plane storage to an in-memory cache. These changes now allow us to perform rolling updates to the infrastructure without needing any outages unless major infrastructure changes are needed. It also allows us to operate identically in public clouds, private clouds, on-prem, and even locally for our development team. This provides much better disaster recovery options and timing for us and ensures on-prem customers operate identically to our primary PlaidCloud service.

With the move to an in-memory cache for keeping track of all aspects of Analyze, we now make moving between databases much easier. We continue to support Greenplum, SAP HANA, Amazon Redshift, Oracle, SQL Server, Spark, Hive, and many others but now are much less constrained to functionality all can support uniformly. We will continue to move more and more into this caching technology as we go.

Our journey continues and we plan to roll out more customer requested features in the coming weeks and months. We have an exceptionally robust foundation to grow from now and we will continue to bring you innovative solutions for your analytics problems.

Have questions or looking for an update? Visit PlaidCloud Help.

Remember, you can always check the status of PlaidCloud at our Status Page.