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SkillsCast

Killing containers to make weather beautiful

10th March 2016 in London at CodeNode

This SkillsCast was filmed at KubeCon Europe

SkillsCast coming soon.

The Met Office Informatics Lab includes scientists, developers and designers. We build prototypes exploring new technologies to make environmental data useful. Here we describe a recent project to process multi-dimensional weather data to create a fully interactive 4D browser application. We used long-running containers to serve data and web pages and short-running processes to ingest and compress the data. Forecast data is issued every three hours so our data ingestion goes through regular and predictable bursts (i.e. perfect for autoscaling).

We built a Kubernetes cluster in an AWS group which auto-scales based on load. We used replication controllers to process the data. Every three hours ingestion jobs are added to a queue and the number of ingestion containers are set in proportion to the queue length. Each worker completes exactly one ingestion job from the queue and then exits, at which point Kubernetes creates a new one to process the next message. This has allowed us to remove the lifespan logic from the containers and keep them light, fast and massively scalable. We are now in the process of using this in our production systems.

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Killing containers to make weather beautiful

Jacob Tomlinson

The Met Office is a world leading weather forecasting and climate research organisation. It owns one of Europe’s largest supercomputers and generates data on the exabyte scale. Jacob Tomlinson is a developer and systems engineer at the Informatics Lab - the innovation unit within the Met Office. He leads their R&D efforts on new infrastructure technologies. Jacob uses Kubernetes and Docker to transform how the Met Office makes data accessible to the world.

SkillsCast

SkillsCast coming soon.

The Met Office Informatics Lab includes scientists, developers and designers. We build prototypes exploring new technologies to make environmental data useful. Here we describe a recent project to process multi-dimensional weather data to create a fully interactive 4D browser application. We used long-running containers to serve data and web pages and short-running processes to ingest and compress the data. Forecast data is issued every three hours so our data ingestion goes through regular and predictable bursts (i.e. perfect for autoscaling).

We built a Kubernetes cluster in an AWS group which auto-scales based on load. We used replication controllers to process the data. Every three hours ingestion jobs are added to a queue and the number of ingestion containers are set in proportion to the queue length. Each worker completes exactly one ingestion job from the queue and then exits, at which point Kubernetes creates a new one to process the next message. This has allowed us to remove the lifespan logic from the containers and keep them light, fast and massively scalable. We are now in the process of using this in our production systems.

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About the Speaker

Killing containers to make weather beautiful

Jacob Tomlinson

The Met Office is a world leading weather forecasting and climate research organisation. It owns one of Europe’s largest supercomputers and generates data on the exabyte scale. Jacob Tomlinson is a developer and systems engineer at the Informatics Lab - the innovation unit within the Met Office. He leads their R&D efforts on new infrastructure technologies. Jacob uses Kubernetes and Docker to transform how the Met Office makes data accessible to the world.

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