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
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data-driven decisions
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
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
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?
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
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
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
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
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.
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
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