The Netflix TechBlog
NOVEMBER 14, 2023
Audit Run various quality checks on the staged data. Several audits, such as verifying source and target counts, are performed on this batch of data. Publish If the audits are successful, cherry-pick the staging snapshot to publish the data to production.
Dynatrace
JULY 6, 2022
Monitoring and logging are fundamental building blocks of observability. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming. Similarly, digital experience monitoring is another ongoing process that lends itself to IT automation.
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The Netflix TechBlog
MARCH 7, 2024
In addition to Spark, we want to support last-mile data processing in Python, addressing use cases such as feature transformations, batch inference, and training. Occasionally, these use cases involve terabytes of data, so we have to pay attention to performance.
Abhishek Tiwari
FEBRUARY 26, 2020
Basic monitoring and logging offered by PaaS will be sufficient for now. Skills: Induct Full-stack engineers. A few senior (2-3) engineers but mostly mid-level and junior engineers (7-8) eager to learn, improve, and master their craft. Introduce centralised logging and comprehensive monitoring. Caveats ?:
The Netflix TechBlog
NOVEMBER 22, 2019
December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.
The Netflix TechBlog
NOVEMBER 22, 2019
December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.
High Scalability
MARCH 17, 2020
Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.
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