Telemetry Pipeline Insights & Observability Best Practices
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? It’s pretty much evident that Splunk costs are extremely high,
11 Data Observability Platforms for 2022 and beyond
What characteristics distinguish an effective data observability platform? Data observability platforms enable the tracking of downstream dependencies in order to remedy the underlying issue. The following criteria should be considered while designing an observability platform.
Future-proofing SecOps teams with Observability pipelines
As production settings grow more dispersed and ephemeral, SecOps and DevOps teams struggle to comprehend system availability and performance. Despite the proliferation of monitoring solutions available today, real-time visibility remains elusive. Software, now in the
Why Machine Data Observability
While data pipelines may move data, they cannot monitor it. These data pipelines are complicated systems that need a data observability architecture for continuous investigation and end-to-end monitoring to determine why operations fail. This, together
5 ways to build reliable data pipelines effectively
The application of analytics in the industry is widespread and diverse. From connecting all elements of a technological ecosystem to learning from and adapting to new events to automating and optimizing processes, these use cases
Forwarding AWS S3 logs to Apica
Amazon S3 is often the platform of choice for companies looking to store corporate data, address their ever-increasing data storage needs, and even host static websites. However, given the relatively simplistic nature of S3, you
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 that transmit machine data from the sources that generate them
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 for elasticity. Any modern technology that processes data needs to
Streamlining IIoT data pipelines with Apica
We’re in the middle of what is now widely acknowledged as the fourth industrial revolution. The digitization of industrial and manufacturing processes has transformed the way industries produce and operate on a daily basis. Arguably,
5 Ways Data Observability Can Solve Complex Data Problems
Data scientists and analysts are heroes and MVPs today, with the ability to alter your organization with near real-time analysis and eerily accurate predictions that enhance decision making, minimize risks, and increase revenue. Companies have
6 Dimensions Of Data Quality
Have you ever questioned what it takes to be a truly data-driven company? To make important decisions, you must have faith in the accuracy and reliability of your data. Many firms discover that the data
3 Common Challenges Faced When Deploying Splunk
Deploying Splunk doesn’t come without challenges. It is common knowledge that Splunk is quite a fantastic tool for monitoring and searching through big data. In simplest terms, it indexes and correlates information generated in an
