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So many bad takes?—?What is there to learn from the Prime Video microservices to monolith story

Adrian Cockcroft

I don’t advocate “Serverless Only”, and I recommended that if you need sustained high traffic, low latency and higher efficiency, then you should re-implement your rapid prototype as a continuously running autoscaled container, as part of a larger serverless event driven architecture, which is what they did. Finally, what were they building?

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Mastering Disk Space Management with MongoDB® Storage Engines

Scalegrid

In-Memory Storage Engine, as the name suggests, stores data in memory for faster performance and lower latencies. released in December 2015. Overall, it performs better for random writes and operational databases with low latency and transactional workloads due to its B-tree structure and well-ordered data structure.

Storage 130
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Zero Configuration Service Mesh with On-Demand Cluster Discovery

The Netflix TechBlog

In 2010, however, nearly none of it existed: the CNCF wasn’t formed until 2015! There is a downside to fetching this data on-demand: this adds latency to the first request to a cluster. Today we have a wealth of tools, both OSS and commercial, all designed for cloud-native environments.

Traffic 225
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Stuff The Internet Says On Scalability For March 22nd, 2019

High Scalability

µs of replication latency on lossy Ethernet, which is faster than or comparable to specialized replication systems that use programmable switches, FPGAs, or RDMA.". BrentToderian : What city went from 14% of all trips by bike in 2001, to 22% by 2012, then leaped to 30% in 3 years by 2015, & 35% by 2018? We achieve 5.5

Internet 134
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ScyllaDB Trends – How Users Deploy The Real-Time Big Data Database

Scalegrid

Released just four years ago in 2015, Scylla has averaged over 220% year-over-year growth in popularity according to DB-Engines. ScyllaDB offers significantly lower latency which allows you to process a high volume of data with minimal delay. percentile latency is up to 11X better than Cassandra on AWS EC2 bare metal.

Big Data 187
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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

## References I've reproduced the talk references below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency? Ford, et al., “TCP

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Observability platform vs. observability tools

Dynatrace

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. But by 2015, it was more common to split up monolithic applications into distributed systems. With observability, teams can understand what part of a system is performing poorly and how to correct the problem.