CloudWatch specialists for your dedicated team.

Where CloudWatch fits in a long-term product team.

Being native is CloudWatch's strongest property. Every AWS service emits metrics into it without configuration, IAM controls access, and alarms can drive AWS actions directly. For an estate that is entirely on AWS, that integration is hard to match with a third-party tool.

Cost is the thing that surprises people. Log ingestion is billed per gigabyte and custom metrics per metric per month, and both scale with how chatty the application is, whatever the data's value. An application logging every request at debug level generates a bill out of all proportion to the value.

What your dedicated team does with CloudWatch.

Log retention is the easiest saving to make. Default retention is indefinite, and most logs lose their value after a few weeks, so retention policies set per log group usually cut the bill substantially with no operational loss.

Reviewing that periodically is part of cost discipline, agreed as part of a committed monthly capacity for platform work.

Common CloudWatch use cases.

• Metrics with no agent to deploy Every AWS service observable immediately, with IAM controlling who sees what.
• Log costs brought under control Retention and log-level policy, which is usually the single largest saving available.
• Alarms that drive action Alarms wired to scaling and remediation, as well as to notifications.

Adding CloudWatch skills to your team.

CloudWatch work sits with your dedicated cloud and DevOps team, with ingestion cost treated as a design constraint from the start.

You can add CloudWatch 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.