This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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. Our object storage service splits objects into many parts and stores them in S3.
Replay Traffic Testing Replay traffic refers to production traffic that is cloned and forked over to a different path in the service call graph, allowing us to exercise new/updated systems in a manner that simulates actual production conditions. It helps expose memory leaks, deadlocks, caching issues, and other system issues.
Where aws ends and the internet begins is an exercise left to the reader. KeyValue is an abstraction over the storage engine itself, which allows us to choose the best storage engine that meets our SLO needs. For these requests where caching removed KeyValue from the hot path, we were able to greatly speed things up.
In addition, DynamoDB Accelerator (DAX) a fully managed, highly available, in-memory cache further speeds up DynamoDB response times from milliseconds to microseconds and can continue to do so at millions of requests per second. Auto Scaling is on by default for all new tables and indexes.
Instead, focus on understanding what the workloads exercise to help us determine how to best use them to aid our performance assessment. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. Operating System: Ubuntu 22.04
The beauty of persistent memory is that we can use memory layouts for persistent data (with some considerations for volatile caches etc. This is left as an exercise for the application developer at present. in front of that memory , as we saw last week). In particular, it’s goodbye to the POSIX interface. What about security?
sounds like a homework exercise of purely academic value. Networks, PCIe busses, CPU interconnects, memory busses, and storage devices (both throughput and IOPS), all have fixed limits. In some cases, a benchmark may appear to exceed network bandwidth because it returns from a local memory cache instead of the remote target.
sounds like a homework exercise of purely academic value. Networks, PCIe busses, CPU interconnects, memory busses, and storage devices (both throughput and IOPS), all have fixed limits. In some cases, a benchmark may appear to exceed network bandwidth because it returns from a local memory cache instead of the remote target.
I’m not going to demonstrate it for space reasons, but if you change the column data type to the deprecated ntext type (which defaults to off-row LOB storage) or use sp_tableoption to store the nvarchar(max) data off-row, locks will be held for longer. This is something to be aware of if you use UPDLOCK hints.
Whether the page is dirty or not (a dirty page has changes on it that haven’t yet been written back to durable storage). The last time the page was referenced (used by the lazy writer to help implement the least-recently-used algorithm that creates free space when needed). The memory location of the 8KB page in the buffer pool.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content