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Unified delivery + incident context platform. We map live production errors directly to the ORIGIN. 50 - 90% faster MTTR.

☁️ Cloud
Joined November 2023
Photo by Formatio (@FormatioCloud)Photo by Formatio (@FormatioCloud)Photo by Formatio (@FormatioCloud)Photo by Formatio (@FormatioCloud)
Production breaks for a hundred reasons: a bad PR, a silent API timeout, or a legacy database lock. But traditional monitoring tool just show a red spike, leaving your engineers to guess where the blast radius started. Formatio fixes this. How?
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Your code didn't break. The payment gateway did. Does your APM tool know the difference? When an external webhook drops, traditional APMs just show a 500 error and a dying pod. Your engineers assume the last deployment was bad. They spin up an emergency Slack channel. 1️⃣
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Formatio is a unified delivery and incident context platform with hyper-lightweight SDK that auto-wraps your standard libraries. So, if a logistics routing API or payment gateway times out, our OTel-native engine catches the upstream failure and tags the exact origin. In secs.
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The biggest lie in modern DevOps: CI/CD and Monitoring should be separate tools. If you use one tool to ship code and a completely disconnected tool to monitor it, you pay a heavy "integration tax" during every production outage. 1️⃣
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We built Formatio because delivery and observability belong in the same workflow. By natively injecting OpenTelemetry into the automated build phase, we created a single platform where the cause (the deployment) is permanently linked to the effect (the live telemetry). 2️⃣
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Your CI/CD is brittle. Your monitoring lacks context. We fixed both. See how: formatio.cloud
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Nobody became a software engineer to write 200 lines of GitHub Actions YAML. Maintaining CI/CD scripts is a massive, hidden drain on engineering velocity. Your senior backend engineers spend hours debugging broken cache layers and fixing runner timeouts instead of building.
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Formatio automates the delivery completely. Connect your repository. We auto-detect your runtime and build your production-ready container via Nixpacks, Railpacks, or your custom Dockerfile. Zero deployment scripts required.
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Developers love PaaS simplicity, but engineering teams eventually outgrow it. You start on a managed PaaS because it's easy. But as you scale, you realize you need AWS or GCP for compliance, VPC peering, and custom architecture. 1️⃣
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Formatio gives you the simplicity of a PaaS without hijacking your infrastructure. We act as your delivery engine and incident context layer. We auto-build your code and instrument the pipeline with OTel, but we hand the container directly to your existing App Runner. 2️⃣
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Your APM tells you that a server crashed. It doesn't tell you why. When a 500 error fires, most engineering teams are forced into a scavenger hunt. You check Datadog for the spike. You check AWS for the container health. You check GitHub to see who merged code 15 minutes ago.
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Because we orchestrate the deployment, our dashboard traces live production errors directly back to the ORIGIN. Whether it’s a bad Git PR, a 3rd-party API timeout, or an AWS config drift, we map the error to the source instantly See what broke production: formatio.cloud
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That context-switching costs you 45 minutes of Mean Time to Resolution (MTTR) before you even start fixing the bug. Formatio fixes this. We unified the delivery pipeline with native OpenTelemetry.
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Production breaks for a hundred reasons: a bad PR, a silent API timeout, or a legacy database lock. Whatever breaks production, Formatio gives you the exact context. In seconds. This means 50-90% faster MTTR. See what broke prod here: 🔗 formatio.cloud
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Formatio is a unified delivery + incident context platform. Because our pipeline is natively instrumented with OpenTelemetry, we trace live production errors directly back to the ORIGIN.
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