Architecture
Apica’s Infinite Scale Capabilities
It is quite difficult to acquire useful insights for businesses when dealing with massive amounts of data generated by systems. The challenge is compounded when
March 28, 2023
Apica Blog
Articles and guides that help you make
data-driven decisions
On-Prem
Why choose Apica over Elastic for your self-hosted environment?
The on-premise setup, widely known as an “on-prem environment” or “self-hosted environment“, allows organizations to customize their infrastructure while avoiding the costs associated with public
January 12, 2023
Observability
Splunk Costs: How to escape the “Ingest Hell” and Maximize value
An overview of Splunk costs Did you know that utilizing Splunk to index 5 GB of data per day would cost you more than $30,000?
November 22, 2021
Architecture
Machine data pipelines that never block, never drop
When it comes to IT observability and monitoring, machine data pipelines form the nerves if your observability platform is the nerve center. They create channels
November 10, 2021
Architecture
Building apica.io for Observability at Scale
At apica.io, we architect and build our software for infinite scale. Infinite scalability was part of our Day 0 thinking. Our system is also designed
November 8, 2021
Cloud
How to Reduce TCO and Infrastructure Costs for your Business?
A large percentage of organizations today tend to spend way too much on compute resources and storage. For instance, investing in high capacity on-premise data
October 21, 2021
Compute & Storage Should Be Decoupled for Log Management at Scale
Originally published at The New Stack Most log management solutions store log data in a database and enable search by storing an index of the
May 11, 2021
Sync.Pool — an essential for Go applications
Apica’s observability stack is predominantly written in Go. As a team, we love the simplicity of the language and the tooling that comes with it.
February 23, 2021
Scale
Can my Application Scale?
Google Compute Engine (GCE) is relatively new to the world of Cloud Computing, as such, a common question we see how does this new cloud platform
June 27, 2013
