Smashing Magazine

MAY 25, 2022

As in every programming language, memory management is a key factor to consider when writing JavaScript. Unlike C, JavaScript is a high-level programming language that automatically allocates memory when objects are created and that clears memory automatically when the objects are no longer needed. Garbage Collection in JavaScript.

Cache 128

Cache Programming Storage Code 128

The Morning Paper

FEBRUARY 6, 2020

Last week we looked at a function shipping solution to the problem; Cloudburst uses the more common data shipping to bring data to caches next to function runtimes (though you could also make a case that the scheduling algorithm placing function execution in locations where the data is cached a flavour of function-shipping too).

Serverless 98

Serverless Lambda Cache Latency 98

High Scalability

JULY 20, 2018

Yet we still program with text—in files. That means multiple data indirections mean multiple cache misses. He told me his work in functional programming languages failed, and would likely always fail, because it was easy to do hard things but incredibly difficult to do simple things. Do you like this sort of Stuff?

Internet 121

Internet Internet Scalability Automotive 121

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The Solution: Distributed Caching. The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. It’s not enough simply to lash together a set of servers hosting a collection of in-memory caches.

Cache 52

Cache Storage Servers Database 52

ACM Sigarch

NOVEMBER 4, 2019

The technical program, put together by program chairs Tor Aamodt and Reetuparna Das , showcased key innovations across a wide range of computer architecture topics, from domain-specific accelerators to in/near-memory computing and from security to quantum computing. . This year’s MICRO had three inspiring keynote talks. Conference.

Hardware 18

Hardware Architecture Programming Innovation 18

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.

Metrics 130

Metrics Monitoring Latency Cache 130

Randon ASCII

SEPTEMBER 8, 2019

The fact that this shows up as CPU time suggests that the reads were all hitting in the system cache and the CPU time was the kernel overhead (note ntoskrnl.exe on the first sampled call stack) of grabbing data from the cache. Now that we suspect file I/O it’s necessary to go to Graph Explorer-> Storage-> File I/O.

Latency 79

Latency Cache Programming Operating System 79

Brendan Gregg

FEBRUARY 28, 2023

I'm now program co-chair for SREcon 2023 APAC, and our 2023 conference is June 14-16 in Singapore. And now, helping bring USENIX conferences to Australia by giving the first keynote: I could not have scripted or expected it. The call for participation ends on March 2nd 23:59 SGT!

Performance 103

Performance Latency Cache Google 103

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. Oh, you mean a cache? Yes, a bit like those 2nd-level caches we were talking about earlier, e.g. Ehcache from 2003 onwards.

Cache 79

Cache Latency Google Network 79

ACM Sigarch

NOVEMBER 1, 2019

Alongside more traditional sessions such as Real-World Deployed Systems and Big Data Programming Frameworks, there were many papers focusing on emerging hardware architectures, including embedded multi-accelerator SoCs, in-network and in-storage computing, FPGAs, GPUs, and low-power devices. ATC ’19 was refreshingly different.

Architecture 12

Architecture Hardware Cache Storage 12

Scalegrid

NOVEMBER 23, 2023

Configure the PostgreSQL hostname by editing configuration files and restarting the server, with secure storage of connection details to enhance security. or localhost would suffice when making connection attempts to establish access for data manipulation of the server’s database information via programs such as SQL Shell.

Database 130

Database Servers Network Storage 130

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

From Distributed Caches to Real-Time Digital Twins. In general terms, in-memory computing refers to the related concepts of (a) storing fast-changing data in primary memory instead of in secondary storage and (b) employing scalable computing techniques to distribute a workload across a cluster of servers.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

The Morning Paper

NOVEMBER 19, 2019

Local-first apps keep their data in local storage on each device, but the data is also synchronised across all the devices on which a user works. CRDTs combine well with reactive programming to give a good developer experience. It should work across multiple devices. It should work without a network. The brave new world.

Cloud 83

Cloud Software Software Internet 83

The Morning Paper

DECEMBER 8, 2019

On the last morning of the conference Daniel Bittman presented some of the work being done in the context of the Twizzler OS project to explore new programming models for NVM. The starting point is a set of three asumptions for an NVM-based programming model: Compared to traditional persistent media, NVM is fast.

Hardware 56

Hardware Programming Media Storage 56

HammerDB

JUNE 27, 2022

What programming languages does HammerDB use and why does it matter? Cached vs Scaled Workloads. A key difference between cached and scaled workloads is the implementation of keying and thinking time to introduce a pause of time between transactions. Instead, most users prefer to implement a cached workload.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Provides support for "unread counts", e.g. for email and chat programs. An extension to Service Workers that enables browsers to present users with cached content when offline. Where Chrome Has Lagged. PWA App Icon Badging. Media Session API.

Media 145

Media Games Education Engineering 145

The Morning Paper

FEBRUARY 20, 2020

… based on interactions with enterprise customers, we expect that storage and inference of ML models will be subject to the same scrutiny and performance requirements of sensitive/mission-critical operational data. Unlike SQL queries which are declarative, such models are expressed as imperative programs heavily dependent on libraries.

Processing 72

Processing Hardware Database Servers 72

SQL Performance

APRIL 8, 2019

Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. The L3 cache size is 64MB. The L3 cache size is 64MB. They feature low latency, local NVMe storage that can directly leverage the 128 PCIe 3.0 lanes for I/O connectivity.

Azure 42

Azure Virtualization Storage Benchmarking 42

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. In-Memory Data Grids for Fast-Changing Data. Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval.

Analytics 52

Analytics Airlines Cache Ecommerce 52

ScaleOut Software

JULY 21, 2020

For more than fifteen years, ScaleOut StateServer® has demonstrated technology leadership as an in-memory data grid (IMDG) and distributed cache. In-Memory Data Grids for Fast-Changing Data. Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval.

Analytics 52

Analytics Airlines Cache Ecommerce 52

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Ecommerce 40

ScaleOut Software

JULY 27, 2018

Hosted on commodity clusters or cloud infrastructures, IMDGs harness the power of distributed computing to deliver scalable storage capacity and access throughput, along with integrated high availability. Looking beyond distributed caching, it’s their ability to perform data-parallel analysis that gives IMDGs such exciting capabilities.

Scalability 40

Scalability Cache Airlines Ecommerce 40

Brendan Gregg

FEBRUARY 28, 2023

I'm now program co-chair for SREcon 2023 APAC, and our 2023 conference is June 14-16 in Singapore. And now, helping bring USENIX conferences to Australia by giving the first keynote: I could not have scripted or expected it. It was a great privilege. The call for participation ends on March 2nd 23:59 SGT!

Performance 52

Performance Latency Cache Google 52

The Morning Paper

APRIL 2, 2019

known good state of a trustworthy program). A d -degree polynomial can be evaluated in d steps in a Horner-rule program. Theorem 3 asserts that no program can use both fewer than storage words and time units in an honest one-time evaluation of Horner(H). carefully chosen computation over M and R and the nonce.

Software 40

Software Software Programming Hardware 40

Percona

JUNE 4, 2023

MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB. Stock MySQL has provided several storage engines beyond just InnoDB (the default) and MyISAM.

Open Source 52

Open Source Servers Storage Scalability 52

SQL Server According to Bob

JANUARY 11, 2020

Stable Media Stable media is often confused with physical storage. SQL Server defines stable media as storage that can survive system restart or common failure. Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well.

Servers 40

Servers Cache Media Hardware 40

Alex Russell

MAY 4, 2016

But doesn’t AppCache let you cache documents you might want offline? ” , you say, “doesn’t AppCache also allow you to put documents in the cache directly, bypassing all of that?” The legacy web, however, can take as long as the TCP timeout (2 minutes in many devices) to end in failure.

Performance 44

Performance Cache Google Network 44

SQL Server According to Bob

DECEMBER 31, 2018

Using SQL Server Management Studio (SSMS) and storing the events in a table requires reading the events, streaming to table storage followed by an order by event sequence query. Large traces can encounter the 32-bit SSMS memory limitations. public void Dispose() { Dispose(true); GC.SuppressFinalize(this); }.

Efficiency 40

Efficiency Code Servers Cache 40

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Neal, Matt, and others from Windows Storage, Windows Azure Storage, Windows Hyper-V, … validating Windows behaviors. · Any storage device that can survive a power outage. Starting with the Linux 4.18

Servers 90

Servers Media Cache Storage 90

SQL Server According to Bob

JANUARY 11, 2020

Time of Last Access The time of last access is a caching ​​ algorithm ​​ that enables ​​ cache ​​ entries to be ordered by their ​​ access times.

Servers 40

Servers Cache Database Media 40

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52

Sutter's Mill

JANUARY 2, 2025

Could such extrinsic storage and additional checking possibly be efficient enough? Its designed to be cache- and prefetcher-friendly, such as using SOA to store keys separately so that default hash buckets contain 4 contiguous cache lines of keys. But even a single L2 cache access is usually around 10-14 cycles!

C++ 70

C++ Cache Programming Code 70