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Failure Modes and Continuous Resilience

Adrian Cockcroft

There are many possible failure modes, and each exercises a different aspect of resilience. Another problem is that a design control, intended to mitigate a failure mode, may not work as intended. STPA is based on a functional control diagram of the system, and the safety constraints and requirements for each component in the design.

Latency 52
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Failure Modes and Continuous Resilience

Adrian Cockcroft

There are many possible failure modes, and each exercises a different aspect of resilience. Another problem is that a design control, intended to mitigate a failure mode, may not work as intended. STPA is based on a functional control diagram of the system, and the safety constraints and requirements for each component in the design.

Latency 53
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Transforming enterprise integration with reactive streams

O'Reilly Software

Service-oriented architecture (SOA) was hyped in the mid-2000s as a modern take on distributed systems architecture, which through modular design would provide productivity through loose coupling between collaborative services—so-called "WebServices"—communicating through externally published APIs. HTTP, TCP, FTP, MQTT, JMS), databases (i.e.,

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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

With these requirements in mind, and a willingness to question the status quo, a small group of distributed systems experts came together and designed a horizontally scalable distributed database that would scale out for both reads and writes to meet the long-term needs of our business. This was the genesis of the Amazon Dynamo database.

Internet 128
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Scaling Amazon ElastiCache for Redis with Online Cluster Resizing

All Things Distributed

Redis's microsecond latency has made it a de facto choice for caching. Four years ago, as part of our AWS fast data journey, we introduced Amazon ElastiCache for Redis , a fully managed, in-memory data store that operates at microsecond latency. TB of in-memory capacity in a single cluster.

Games 112
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Amazon EC2 Cluster GPU Instances - All Things Distributed

All Things Distributed

For example, the most fundamental abstraction trade-off has always been latency versus throughput. These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. The throughput of this pipeline is more important than the latency of the individual operations.

AWS 136
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MezzFS?—?Mounting object storage in Netflix’s media processing platform

The Netflix TechBlog

Video encoding is what MezzFS was originally designed for and remains one of its canonical use cases, so we’ll focus on video encoding to describe the problem that MezzFS solves. Netflix operates in multiple AWS regions. What problem are we solving? Regional caching? —?Netflix

Media 214