The Netflix TechBlog
DECEMBER 21, 2020
At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. Increase in storage space.
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. Uber is committed to delivering safer and more reliable transportation across our global markets.
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Randon ASCII
SEPTEMBER 8, 2019
Now that we suspect file I/O it’s necessary to go to Graph Explorer-> Storage-> File I/O. I work quickly on my computer and I get frustrated when I am forced to wait on an operation that should be fast. A persistent nuisance on my over-powered home laptop is that closing windows on the taskbar is slow. I right-click on an entry, wait for the menu to appear, and then select “Close window”.
Scalegrid
JUNE 22, 2020
Compare Latency. On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations. ScaleGrid provides 30% more storage on average vs. DigitalOcean for MySQL at the same affordable price. Latency.
Percona Community
OCTOBER 23, 2020
In this blog post we’re going to see those technologies at work to give us awesome block storage performance with flexibility and simple operations. It’s a new generation in storage software, designed for super high speed low latency NVMe devices At MayaData we like new tech.
All Things Distributed
JANUARY 23, 2012
Expanding the Cloud - The AWS Storage Gateway. Today Amazon Web Services has launched the AWS Storage Gateway, making the power of secure and reliable cloud storage accessible from customersâ?? VM Import allows our customers to move virtual machine images from their datacenters to the Cloud and Amazon Direct Connect makes the network latencies and bandwidth between on-premises and AWS more predictable. s storage infrastructure. Once the AWS Storage Gatewayâ??s
The Morning Paper
NOVEMBER 5, 2019
File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. Breaking that assumption allowed Ceph to introduce a new storage backend called BlueStore with much better performance and predictability, and the ability to support the changing storage hardware landscape. Supporting new storage hardware.
Scalegrid
JUNE 4, 2020
Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. On average, ScaleGrid provides over 30% more storage vs. DigitalOcean for PostgreSQL at the same affordable price. Storage. Latency. PostgreSQL DigitalOcean Latency Averages (ms).
The Netflix TechBlog
MARCH 6, 2019
Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. That file is stored in our object storage service, which splits and encrypts the file into separate chunks, storing the chunks in Amazon S3. Our object storage service splits objects into many parts and stores them in S3.
The Netflix TechBlog
MAY 5, 2021
Netflix Drive relies on a data store that will be the persistent storage layer for assets, and a metadata store which will provide a relevant mapping from the file system hierarchy to the data store entities. storage s3 studio infrastructure netflix
Scalegrid
DECEMBER 16, 2019
We ran performance tests for MongoDB on DigitalOcean vs. AWS vs. Azure and found that DigitalOcean performance was in line with, if not better, on both high throughput and low latency in the deployment. They even offer amazingly low latency from Amazon AWS US-East to the DigitalOcean New York datacenter, which is great for applications that are running their front on mid-tier on AWS, but would like to use DigitalOcean for their MongoDB clusters.
Scalegrid
APRIL 28, 2020
Since database hosting is more dependent on memory (RAM) than storage, we are going to compare various instance sizes ranging from just 1GB of RAM up to 64GB of RAM so you can see how costs vary across different application workloads. Does it affect latency?
The Netflix TechBlog
SEPTEMBER 24, 2021
From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. Uploading and downloading data always come with a penalty, namely latency.
All Things Distributed
MARCH 2, 2011
Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. The advanced Asia Pacific network infrastructure also makes the AWS Tokyo Region a viable low-latency option for customers from South Korea. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. All Things Distributed.
High Scalability
JANUARY 11, 2022
Firstly, the synchronous process which is responsible for uploading image content on file storage, persisting the media metadata in graph data-storage, returning the confirmation message to the user and triggering the process to update the user activity.
SQL Shack
JULY 10, 2019
By removing disk-based storage and the challenge of copying data in and out of memory, query speeds in SQL Server can be improved by orders of magnitude. TempDB is one of the biggest sources of latency in […]. Introduction In-memory technologies are one of the greatest ways to improve performance and combat contention in computing today.
Percona
MARCH 13, 2023
There is a section in our Documentation ( Introduction to Serverless PostgreSQL ) and a short overview of the primary components: Page Server The storage server with the primary goal of storing all data pages and WAL records Safe Keeper A component to store WAL records in memory (to reduce latency).
The Netflix TechBlog
MARCH 7, 2023
But we cannot search or present low latency retrievals from files Etc. Using memcache allows us to keep latencies for our search low (most of our queries are less than 100ms).
The Netflix TechBlog
NOVEMBER 3, 2022
When a new leader is elected it loads all data from external storage. In that scenario, the system would need to deal with the data propagation latency directly, for example, by use of timeouts or client-originated update tracking mechanisms.
DZone
JULY 10, 2019
In addition, compute and storage are increasingly being separated causing larger latencies for queries. Alluxio is leveraged as compute-side virtual storage to improve performance. The Apache Spark + Alluxio stack is getting quite popular particularly for the unification of data access across S3 and HDFS. But to get the best performance, like any technology stack, you need to follow the best practices.
All Things Distributed
DECEMBER 3, 2009
This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. Operation costs are often different based on location and, as such, the pricing for services may vary somewhat between Regions, giving our customers the power to make trade-offs between, for example, cost and latency. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. All Things Distributed.
Dynatrace
OCTOBER 4, 2022
Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. Data lakehouses deliver the query response with minimal latency.
The Morning Paper
OCTOBER 4, 2020
We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity.
Alex Russell
MARCH 6, 2021
A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge.
Uber Engineering
MARCH 12, 2017
With the evolution of storage formats like Apache Parquet and Apache ORC and query engines like Presto and Apache Impala , the Hadoop ecosystem has the potential to become a general-purpose, unified serving layer for workloads that can tolerate latencies … The post Hudi: Uber Engineering’s Incremental Processing Framework on Apache Hadoop appeared first on Uber Engineering Blog.
The Netflix TechBlog
OCTOBER 19, 2020
If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Storage: don’t break the bank! by Maulik Pandey Our Team?—?
Dynatrace
SEPTEMBER 23, 2020
Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Sometimes these locations landed on mount points which, due to capacity, availability, or access constraints, weren’t well suited for large runtime storage.
Brendan Gregg
FEBRUARY 28, 2023
My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.
The Netflix TechBlog
OCTOBER 27, 2020
The data warehouse is not designed to serve point requests from microservices with low latency. Therefore, we must efficiently move data from the data warehouse to a global, low-latency and highly-reliable key-value store.
High Scalability
SEPTEMBER 8, 2018
They've posted about Anna's new superpowers in Going Fast and Cheap: How We Made Anna Autoscale : Using Anna v0 as an in-memory storage engine, we set out to address the cloud storage problems described above. To meet user-defined goals for performance (request latency) and cost, the monitoring service tracks and adjusts resources to workload changes. Each storage server collects statistics about the requests it serves, the data it stores, etc.
Brendan Gregg
JULY 4, 2021
AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on.
The Netflix TechBlog
MARCH 9, 2023
For these reasons, test executions in practice often suffer from a host of stability, reliability, and latency issues, most of which we cannot take action upon.
The Morning Paper
FEBRUARY 6, 2020
On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access. A low-latency autoscaling KVS can serve as both global storage and a DHT-like overlay network.
The Morning Paper
AUGUST 29, 2019
We group the DBMS design choices and tradeoffs into three broad categories, which result from the need for dealing with (A) external storage; (B) query executors that are spun on demand; and (C) DBMS-as-a-service offerings. With regard to external storage, you could use S3 with remote storage accessible over a REST API, or block-based storage with EBS and Instance Store (InS), with EBS being the closest match for traditional database systems.
The Morning Paper
SEPTEMBER 10, 2019
That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. to understand YouTube video performance) drive tens of thousands of canned (known in advance) queries per second, that need to be served with latency in the tens of milliseconds. Oh, and in additional to low latency, “ we require access to fresh data.” High performance evaluation is critical for low latency queries.
The Netflix TechBlog
APRIL 26, 2022
The first version of our logger library optimized for storage by deduplicating facts and optimized for network i/o using different compression methods for each fact. ETL is the component where we experiment for query performance, improving data quality, and storage optimization.
Particular Software
OCTOBER 26, 2020
Backed by Cosmos DB, a fully managed, globally distributed, elastically scaled, pay-as-you-go service, your NServiceBus-based systems can benefit from guaranteed single-digit-millisecond latency with 99.999% availability. How does this compare with Azure Storage Persistence?
CSS Wizardry
MARCH 3, 2019
If, however, there wasn’t a new file on the server, we’ll bring back a 304 header, no new file, but an entire roundtrip of latency. We can completely cut out the overhead of a roundtrip of latency. This means no unnecessary roundtrips spent retrieving 304 responses, which potentially saves us a lot of latency on the critical path ( CSS blocks rendering ). On high latency connections, this saving could be tangible.
The Netflix TechBlog
SEPTEMBER 2, 2020
This difference has substantial technological implications, from the classification of what’s interesting to transport to cost-effective storage (keep an eye out for later Netflix Tech Blog posts addressing these topics). As you can imagine, this comes with very real storage costs.
The Morning Paper
OCTOBER 26, 2020
It’s limited by the laws of physics in terms of end-to-end latency. We saw earlier that there is end-user pressure to replace batch systems with much lower latency online systems. Helios: hyperscale indexing for the cloud & edge , Potharaju et al., PVLDB’20.
All Things Distributed
OCTOBER 16, 2019
Because these IoT devices are powered by microprocessors or microcontrollers that have limited processing power and memory, they often rely heavily on AWS and the cloud for processing, analytics, storage, and machine learning. For some applications, a trip to the cloud and back isn't possible because of latency requirements (for example, an autonomous car interpreting its environment in real time).
SQL Performance
FEBRUARY 26, 2020
The General Purpose tier is designed for applications with typical performance and I/O latency requirements and provides built-in HA. The Business Critical tier is designed for applications that require low I/O latency and higher HA requirements. Storage.
The Morning Paper
NOVEMBER 8, 2020
The initial version of Delos went into production after eight months using a ZooKeeper-backed Loglet implementation, and then four months later it was swapped out for a new custom-built NativeLoglet that gave a 10x improvement in end-to-end latency.
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