Recommendations for setting up your architecture with AWS & TimescaleDB
Blog post from Tiger Data
TimescaleDB can be integrated with various AWS services to manage, store, and analyze time-series data at scale. Users have several options to set up their architecture, including Timescale Cloud, which provides a managed service offering on AWS, allowing for hands-off management and flexibility in customizing compute and storage configurations; EC2 instances, which offer granular control over the instance but require more operational responsibility; Kubernetes via Helm Charts, ideal for users with microservices architectures; Amazon Elastic Container Service (ECS), suitable for running TimescaleDB as a container to collect monitoring data from Prometheus; and AWS CloudWatch, Lambda, and TimescaleDB, which can be used to consolidate monitoring data in a single place. Each option has its benefits and drawbacks, making it essential for users to choose the one that best fits their needs and use case.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Serverless | 4 | 465 | 66 | 29 | +85% |
| Kubernetes | 3 | 1,068 | 109 | 38 | +157% |
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