The Netflix TechBlog
MAY 4, 2023
Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.
Uber Engineering
OCTOBER 17, 2018
To accomplish this, Uber relies heavily on making data-driven decisions at every level, from forecasting rider demand during high traffic events to identifying and addressing bottlenecks … The post Uber’s Big Data Platform: 100+ Petabytes with Minute Latency appeared first on Uber Engineering Blog.
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Scalegrid
FEBRUARY 8, 2024
Opting for synchronous replication within distributed storage brings about reinforced consistency and integrity of data, but also bears higher expenses than other forms of replicating data. By implementing data replication strategies, distributed storage systems achieve greater.
Dynatrace
JULY 6, 2020
Azure Traffic Manager. Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. See the health of your big data resources at a glance. Azure DB for PostgreSQL. Azure SQL Managed Instance. Azure HDInsight. Azure Front Door.
InfoQ
JULY 3, 2023
LinkedIn introduced Couchbase as a centralized caching tier for scaling member profile reads to handle increasing traffic that has outgrown their existing database cluster. The new solution achieved over 99% hit rate, helped reduce tail latencies by more than 60% and costs by 10% annually. By Rafal Gancarz
Scalegrid
MARCH 28, 2024
For vertical scaling, Memcached allows augmenting existing servers with additional CPU cores and memory, thereby enhancing the capacity of the caching pool to manage higher traffic volumes and larger data loads. Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future.
The Morning Paper
MAY 14, 2019
Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., on end-to-end latency) and less than 0.15% on throughput. on end-to-end latency) and less than 0.15% on throughput. ASPLOS’19. Distributed tracing and instrumentation.
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