Let’s cut to the chase. Every Elasticsearch and OpenSearch user and administrator, whether on a managed platform or self-hosted, knows this feeling - endlessly hoping the cluster keeps up and doesn’t crash, and dreading the on-call alert in the middle of the night that demands action - which is often not clear - on a crashed cluster or degraded performance.

What if I told you this no longer has to be your reality?

Rather than being frustrated with your Elasticsearch or OpenSearch deployment, or wasting your time and most likely paying more for it than you really should be - wouldn't you prefer to just never worry about the cluster and have it stable as a rock with consistent performance, no crashes, and at the right cost?

Enter Pulse

Our vision for Pulse is simple – you should be able to focus 100% of your attention on your business and product and never worry about becoming an expert on Elasticsearch or OpenSearch.

Pulse is the fruit of 10+ years of consulting, developing, managing, and contributing to Elasticsearch - and later OpenSearch as well. The truth is that Pulse is a produc...

In our introductory post we discussed the typical structure and usual components of a modern data platform.

A very common component of any Data Lake and Data Warehouse implementation is what we often call the “Cold Storage” tier. This is where, or rather how, the vast majority of data is persisted i...

We live in an era of data. Data is in every organization’s strategy, every engineer’s job description, and every CIO’s dreams (or nightmares). Day in, day out, more data collectors and more data generators are being built. The collectors are observability tools and data platforms, and the generators...

Cloud Computing today is accessible by everyone: anyone can launch a EC2 instance on AWS or write entire systems using Serverless technologies without launching even a single VM. The on-going competition between cloud giants AWS, Google Cloud Platform and Microsoft Azure keeps bringing prices down a...

Presto is a state of the art Distributed SQL Query Engine for BigData, enabling efficient querying on cold data and various data sources. With extended SQL language and features like geospatial queries, joins between different data sources (SQL to join data from HDFS, Elasticsearch, and Kafka anyone...

A few weeks ago I gave a talk on Google Campus TLV on deploying and running Elasticsearch on Kubernetes - best practices and various gotchas. The video for the talk is below.

There is also a blog post with most of the technical details here.

On that note, you should definitely check out Elastic's re...

Kubernetes is quickly becoming the de-facto standard for running systems in the cloud and on-premises, and in the last couple of years we at BigData Boutique have had to deploy and support quite a few Elasticsearch clusters on Kubernetes.

Now is probably a good time to reflect on this and have a hig...

I just read the recent announcements from AWS on their fresh "Open Distro" of Elasticsearch. Statements like "Keeping Open Source Open" and "it has created uncertainty about the longevity of the open source project as it is getting less innovation focus" drew my attenti...

I just published Easily deploying Presto on AWS with Terraform, but ignored a very important question: AWS offers Athena for SQL over S3, which is essentially a Presto deployment managed by AWS. Why not just use AWS Athena instead of going through the trouble of deploying your own cluster?

I probabl...