VTEX improved their shopping cart system by switching from Amazon S3 to Amazon DynamoDB. This change was made to enhance speed and make the shopping experience better for users.
They faced challenges because some shopping cart items were too large for DynamoDB's limits. To fix this, they reduced the data size and created a process to store bigger items separately in S3.
After gradually migrating to DynamoDB, VTEX achieved a 30% reduction in shopping cart API latency. This helped their overall efficiency and improved customer satisfaction.
VTEX successfully scaled its monitoring system to handle 150 million metrics using Amazon's Managed Service for Prometheus. This helped them keep track of their numerous services efficiently.
By adopting this system, VTEX cut its observability expenses by about 41%. This shows that smart choices in technology can save money.
The new architecture allows VTEX to respond to problems faster and reduces the chances of system failures. It increased the reliability of their metrics, making everyday operations smoother.
Productivity in software engineering is not just about how much code you write. It's more important to focus on code quality and how well the software works.
At VTEX, they listen to developers to improve their work experience. This helps boost productivity by addressing the challenges developers face.
Combining feedback from developers with quantitative data can help understand the impact of changes in tools and processes on productivity.
Using Amazon EKS for Windows workloads is becoming popular as it simplifies the management of existing Windows applications without needing to completely refactor them.
Prometheus and Grafana are essential tools for monitoring performance and metrics of Windows pods, helping teams visualize important data from their workloads.
To set up monitoring, install the Windows Exporter daemonset and Kube-State-Metrics on your Amazon EKS cluster, enabling detailed insights into both Windows pods and nodes.