New Omdia research confirms what enterprise operators already feel: The telemetry data problem isn’t coming, it’s here. And most organizations are still building on the wrong foundation.
Apica COO Matt Wilkinson breaks down why the company is expanding its SI partner network and what partners are actually getting — two repeatable practice areas built around Flow’s OTel-native telemetry pipeline and Wayfinder’s test data orchestration.
Splunk costs rise faster than your data volume. Apica Flow shapes and routes telemetry before ingest, cutting Splunk bills up to 40% without losing signal.
AI agents are generating telemetry at machine speed — and your observability infrastructure wasn’t built for it. Here’s why legacy platforms will break at agentic scale, and what it means for your IT infrastructure.
You’re paying to store data your team won’t use. Here’s how to stop that before it hits your Datadog bill.
Most enterprises deploying AI agents in production have no idea what those agents are actually doing — and the telemetry that could tell them is getting lost, dropped, or never captured at all.
Apica 2.15.2 brings Grafana Loki forwarding, improved OTel data integrity, and a round of workflow refinements across Flow, Synthetics, and Observe — keeping your telemetry pipeline and monitoring experience running smoothly.
Migrating observability platforms is never just a technical lift-and-shift — it’s a chance to eliminate debt, modernize your telemetry practice, and build an architecture that can handle the data volumes AI workloads are already generating.
Not every organization needs a centralized telemetry pipeline — but this six-dimension self-assessment will tell you honestly whether you’re already paying the complexity tax without realizing it.
