Frank Song

Frank Song

Frank Song writes and reviews content for readers making technical and commercial decisions around cloud infrastructure, observability platforms, telemetry pipelines, incident response tooling, and platform operations.
  • Articles: 40

Why More Observability Vendors Are Moving to Usage-Based Billing

A source-based analysis for engineering leaders, SREs, platform teams, FinOps practitioners, and technical decision-makers examining why more observability vendors are moving to usage-based billing. It explains how telemetry volume, query behavior, retention, ephemeral infrastructure, AI-generated telemetry, and platform breadth are shifting observability pricing from static host coverage toward pricing models tied to telemetry behavior and governance.

How to Evaluate Internal Developer Platforms Without Overbuying

A vendor-neutral guide for engineering leaders, platform teams, and developer-experience owners evaluating internal developer platforms without overbuying. It explains how to assess repeated engineering friction, self-service workflows, catalog trust, template ownership, RBAC boundaries, namespace governance, GitOps integration, and long-term maintenance before expanding a portal, orchestration layer, or broader IDP program.

Why Platform Engineering Is Showing Up in More Enterprise Roadmaps

A source-based analysis for CTOs, platform leaders, engineering directors, DevOps leaders, and cloud architects examining why platform engineering is appearing in more enterprise roadmaps. It explains how delivery variation, cloud-native complexity, governance handoffs, internal developer platforms, AI-era workflow pressure, and the need for safer paths from developer intent to production are turning platform engineering into a strategic operating model, not just an internal tooling trend.

How to Choose a Cloud Cost Management Platform for a Mid-Sized Company

A primary-source-based decision guide for CTOs, platform leaders, engineering directors, and finance partners evaluating whether a mid-sized company has outgrown native cloud cost tools and needs a dedicated platform. It explains how to assess allocation, forecasting, anomaly response, shared-cost treatment, business mapping, and operational fit without relying on feature lists, vendor rankings, or savings claims.

Observability vs Monitoring: What Buyers Need to Understand in 2026

A primary-source-based guide for engineering leaders, platform teams, SREs, technical buyers, and finance partners comparing observability and monitoring in 2026. It explains how telemetry data, monitoring practice, and observability outcomes differ, why monitoring remains foundational, and how teams can avoid mistaking alert-quality, diagnosis, correlation, ownership, or consolidation problems for the wrong platform category.

Datadog, New Relic, and Grafana: What the Latest Product Changes Signal

A vendor-neutral analysis of publicly announced product changes from Datadog, New Relic, and Grafana, examining how observability is moving beyond dashboards toward product impact, AI-assisted operations, workflow context, cost accountability, and decision support. It helps engineering leaders, SREs, platform teams, FinOps practitioners, and technical buyers understand how the interpretation layer after telemetry arrives may shape future observability decisions.

How to Tell Whether Your Team Has Outgrown Basic Cloud Monitoring

A primary-source-based guide for engineering managers, SRE teams, platform teams, DevOps teams, and cloud operations leaders evaluating whether basic cloud monitoring is still operationally enough. It explains how to identify when incidents become harder to explain than detect, and how to assess alert quality, connected telemetry context, release velocity, service ownership, SLOs, and cost governance before making tooling or observability platform decisions.

OpenTelemetry Migration Checklist for Growing Engineering Teams

A vendor-neutral OpenTelemetry migration checklist for platform, SRE, observability, and engineering leadership teams planning a more controlled migration. It explains how to define telemetry goals, inventory existing agents and dashboards, standardize telemetry meaning and semantic conventions, choose Collector topology, protect alert and dashboard continuity, manage dual-running cost, and assign long-term ownership before broad rollout.