- [email protected]
- 150 King Street West Suite 392 Toronto, Ontario M5H 1J9
- +1 431-430-8746
Everything you need to know about working with TRIOTECH SYSTEMS.
Traditional DevOps focuses on automating pipelines, infrastructure delivery, and standard monitoring configurations. AIOps introduces machine learning layers on top of that telemetry. Instead of flooding your team with hundreds of raw, disconnected alerts, our AIOps setups use log clustering and anomaly detection to correlate telemetry, identify the actual root cause of an issue, and trigger automated self-healing runbooks before human engineers are even paged.
We don’t allow AI to write unvalidated infrastructure changes on the fly. Auto-remediation is strictly mapped to your top-10 most common incident classes (such as disk-space exhaustion, memory leaks, or transient network drops). When OpenTelemetry detects a matching pattern, a pre-approved, contract-tested script executes via PagerDuty or Opsgenie to resolve the issue safely while maintaining a complete, auditable log trail for your compliance team.
We construct internal developer platforms utilizing explicit “golden paths.” Instead of fresh engineering hires wasting their first week manually configuring local environments, passing access keys, or troubleshooting local docker builds, we build secure, automated platform vending systems. New engineers spin up ephemeral, production-mirrored development environments instantly, enabling them to safely commit and test code on day one.
We eliminate long-lived production credentials and hardcoded secrets entirely. By setting up centralized secrets management via HashiCorp Vault or AWS/GCP KMS coupled with OpenID Connect (OIDC) identities, we issue short-lived, encrypted tokens. For operational infrastructure shifts, developers utilize automated Just-In-Time (JIT) access controls that grant temporary permissions dynamically, ensuring total traceability without hurting engineering velocity.