Telemetry
Bring logs and metrics into Splunk, filtered and normalised.
Digital Engineering & Automation
Pipelines that collect, transform and deliver data between systems reliably and observably.
Data arriving late, duplicated or in a different format depending on the day. When a data process fails silently, reports and decisions end up based on incorrect information.
Five phases, always in the same order. Select each one to see what happens in it. In full projects they map onto the stages of our method.
We understand the process, the systems involved, the constraints and how success will be measured.
We design the solution: components, interfaces, security, error handling and deployment.
We build the pipeline with data quality checks, error handling and reprocessing.
We check the volume, latency and quality of the output data against the source.
We measure actual usage, fix issues and document so your team can maintain it.
Bring logs and metrics into Splunk, filtered and normalised.
Move data between applications and stores.
Catch incomplete data before it reaches a report.
We instrument it to measure volume, latency and errors, with alerts when anything falls outside the norm.
Yes, we design the pipeline so a section can be replayed without duplicating data.
Yes, and it's a good way to filter and normalise before indexing.
Tell us about your situation. If this service is not what you need, we will tell you; if it is, we will propose a concrete first step.
Request this service