Splunk to Elastic Stack Migration
Expensive SIEM solutions stopping you from unlocking value out of your log data?
We can help you migrate to an AWS ElasticSearch SIEM stack that does not cost you a fortune.
Save up to
in license costs
Simple, transparent licenses
Similar features as Splunk
Pay as you scale
Cloud native stack with immense scalability & flexibility
Accelerated migration process
Here’s how we can help
With strong experience in Splunk and Elastic Search, Squareshift can help you assess, build, migrate & manage your ELK Stack. Here’s a view of our engineered approach for a successful ELK Stack.
Catalog & Categorise
Data sources, forwarders & deployment architecture
Build & Deploy
Parallel ElasticSearch stack and migrate data
Go Live & Track
Productionise and monitor
Review & Optimise
Managed operations & continuous improvements
Let’s identify what works for you
Given the technical complexities in your stack and varying business priorities, we reckon not one approach fits all. Your business & needs are unique and hence we take a tailored approach, on top of the scenarios mentioned below.
Build a parallel ES stack, validate &
Migrate simple workloads first & gradually migrate complex ones
Implement this stack for a new application
Green field implementation
And get started, the risk-free way
We have made it easy for you to experiment, start small, risk-free.
Lets remove uncertainties with fixed price – fixed timeline packages shown below.
*Indicative pricing based on generic client needs. You could actually be spending less.
Success Stories that you can relate to
Here’s a snapshot our experience across both worlds, Splunk and Elastic Stack.
Clients for whom we have set up Elastic Stack for various use cases report better value,
in terms of cost savings, operational flexibility and scalability.
A large event management firm uses Splunk to deliver real time event analytics and user engagement metrics
ES based data lake for US Unicorn EdTech SaaS startup
A HK Digital Bank uses ELK stack for end-to-end observability