Datadog specialists for your dedicated team.

Where Datadog fits in a long-term product team.

The value is correlation. Moving from a latency spike to the trace to the log line in one place is much faster than rebuilding the same picture from three tools during an incident, and shorter incidents are what the investment buys.

Two failures are near-universal. Cost climbs because custom metrics and log ingestion are billed by volume and the total often has no owner. Alerts also multiply until they are ignored, and a monitoring system people have learned to dismiss creates noise without protection.

What your dedicated team does with Datadog.

Alert quality decays without an owner. Every incident adds a monitor, none are ever removed, and within two years the on-call rota has learned to ignore a channel, so the cost is paid and the benefit is lost.

Pruning alerts takes product context as well as platform knowledge, which is why it works best from inside a long-term team. It sits with your dedicated cloud and DevOps team, alongside the reliability work it supports.

Common Datadog use cases.

• Alerts people still trust Cutting alerts back to those that are actionable, so a page at 3am means something.
• Cutting ingestion cost Log volume and custom metrics reviewed against what is really queried, which is usually a fraction of what is sent.
• Tracing across services Distributed traces instrumented so a slow request can be traced to its cause.

Adding Datadog skills to your team.

Observability work is usually part of a site reliability role within your team. Every assigned specialist comes through the Talent Success and Academy programme first.

You can add Datadog capacity as one dedicated specialist or as part of a wider remote team, managed by a service delivery manager from our offices in Thailand. Companies hire dedicated developers this way under one agreement and one monthly fee.