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Optimizing data warehouse storage

The Netflix TechBlog

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 208
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Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. At Dynatrace, we’re constantly improving our AWS monitoring capabilities. Monitor and understand additional AWS services. Get up to 300 new AWS metrics out of the box.

AWS 200
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Get up to 300 new metrics out of the box with AWS supporting services (GA)

Dynatrace

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. At Dynatrace, we’re constantly improving our AWS monitoring capabilities. Monitor and understand additional AWS services. Get up to 300 new AWS metrics out of the box.

AWS 182
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Easy SLA and SLO reporting for all your API endpoints with public synthetic HTTP monitors

Dynatrace

Virginia (AWS) ?, California (AWS), San Jose (Azure), Texas (Azure), Ohio (AWS), Toronto (Azure) ?, London (AWS), London (Azure), Frankfurt (AWS) ?, Sydney (AWS) ? Hong Kong (Azure), Tokyo (Azure), Sao Paulo (AWS). Storage and management of credentials via the Synthetic Monitoring credential vault.

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Bulldozer: Batch Data Moving from Data Warehouse to Online Key-Value Stores

The Netflix TechBlog

The processed data is typically stored as data warehouse tables in AWS S3. For how our machine learning recommendation systems leverage our key-value stores, please see more details on this presentation. In this way, it allows us to provide a more traditional typed record store while keeping the key-value storage engine abstracted.

Latency 248
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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. Storage I/O. We help where we can. File System. Networking.

Tuning 53
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AWS re:Invent 2017: How Netflix Tunes EC2

Brendan Gregg

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. Storage I/O. We help where we can. File System. Networking.

Tuning 52