My first 3 months at incident.io
Blog post from Incident.io
This company, incident.io, was facing a bottleneck due to its growing data ecosystem and the inability of its current data platform to scale. The Data Engineer role I joined brought about significant improvements to the development platform, including enhanced dbt workflow and CI, as well as reduced costs through optimized Docker image management and cost-effective Fivetran BigQuery usage. Additionally, exploring alternative data ingestion tools was conducted, with Google Datastream being ruled out due to high upsert costs, and Fivetran remaining the most cost-effective option. The company's platform costs were also analyzed and reduced by nearly 75% through clustering of destination tables in BigQuery, resulting in a more efficient data management workflow.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Data Pipeline | 4 | 662 | 183 | 69 | +35% |
| Real-time | 1 | 2,676 | 708 | 189 | +23% |
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