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. offers the Software Watchdog specifically designed for this purpose.

Metrics 130

Metrics Monitoring Latency Cache 130

The Morning Paper

MARCH 8, 2020

This paper describes the design decisions behind the Snowflake cloud-based data warehouse. This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) From shared-nothing to disaggregation. Workload characteristics.

Storage 112

Storage Engineering Cache Serverless 112

Percona

MARCH 28, 2023

” This acts as a step to ensure durability by recovering lost data from the same journal files in case of crashes, power, and hardware failures between the checkpoints (see below) Here’s what the process looks like. The same data, in the form of pages inside the Wiredtiger cache, are also marked dirty. wt and index-*.wt).

Hardware 111

Hardware C++ Storage Cache 111

ACM Sigarch

NOVEMBER 4, 2019

Krste Asanovic from UC Berkeley kicked off the main program sharing his experience on “ Rejuvenating Computer Architecture Research with Open-Source Hardware ”. He ended the keynote with a call to action for open hardware and tools to start the next wave of computing innovation.

Hardware 18

Hardware Architecture Programming Innovation 18

All Things Distributed

JULY 14, 2015

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. DynamoDB Streams simplifies and improves this design pattern with a distributed systems approach.

Database 158

Database Lambda AWS IoT 158

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. In addition to the disaster recovery site, this design includes an external layer of nodes.

Availability 132

Availability Database Open Source Hardware 132

Brendan Gregg

MARCH 16, 2024

Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway. It shouldn't be 10%, unless it's cache effects. And for leaf routines (which never establish a frame), this is a non-issue.

Java 137

Java Cache Google Hardware 137

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Randon ASCII

SEPTEMBER 30, 2022

In my case the directory structure of my documents directory was entirely cached in memory so there was zero disk activity required to do the scan, but some users are not so lucky. Is there some RuntimeBroker caching? Is that a WinRT flaw, or a Voice Recorder flaw? What happens with users who don’t have an SSD and 32 GB of RAM?

Software 100

Software Software Cache Hardware 100

Highly Scalable

APRIL 2, 2012

Some time ago I participated in design of a backend for one large online retailer company. In particular, we built this system on top of Oracle Coherence and designed our own data structures and indexes. In particular, we built this system on top of Oracle Coherence and designed our own data structures and indexes.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Amazon DynamoDB â?? By Werner Vogels on 18 January 2012 07:00 AM. Comments ().

Scalability 162

Scalability Database Ecommerce Latency 162

Percona

JANUARY 3, 2024

The proxy is designed to run continuously without needing to be restarted. sec) Conclusion These methods provide solutions for ProxySQL backups and restores, which play a pivotal role in safeguarding the integrity of your data and providing defense against various disasters, hardware malfunctions, data loss, and corruption.

Traffic 120

Traffic Hardware Cache Servers 120

Percona

MAY 2, 2023

ChatGPT: The InnoDB buffer pool is used by MySQL to cache frequently accessed data in memory. If we expand the cache concept more, the buffer pool could be even less if the working set (hot data) is smaller. Answer : No, ChatGPT is an AI language model developed by OpenAI and is not designed to replace a MySQL DBA job.

Social Media 145

Social Media Database Servers Cache 145

Testsigma

JUNE 3, 2021

A few of the errors which can be faced due to a poorly designed UI are: i. Hardware error. We focus on software so much that we forget about the hardware failures. If the hardware gets disconnected or stops working then we cannot expect correct output from the software. Hardware issues. Caching errors.

Software 82

Software Software Testing Hardware 82

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. GAIA proposed to expand the OS page cache into accelerator memory. ATC ’19 was refreshingly different. Heterogeneous ISA.

Architecture 12

Architecture Hardware Cache Storage 12

Brendan Gregg

FEBRUARY 28, 2023

DDR6: Here's What to Expect in RAM Modules,” [link] Nov 2020 - [Salter 20] Jim Salter, “Western Digital releases new 18TB, 20TB EAMR drives,” [link] Jul 2020 - [Spier 20] Martin Spier, Brendan Gregg, et al.,

Performance 103

Performance Latency Cache Virtualization 103

Alex Russell

APRIL 29, 2021

Apple's policy against browser engine choice adds years of delays beyond the (expected) delay of design iteration, specification authoring, and browser feature development. An extension to Service Workers that enables browsers to present users with cached content when offline. is access to hardware devices. Content Indexing.

Media 145

Media Games Education Engineering 145

The Morning Paper

NOVEMBER 5, 2019

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. But let’s take a quick look at the changing hardware landscape before we go on… The changing hardware landscape.

Storage 64

Storage Systems Hardware Efficiency 64

Smashing Magazine

AUGUST 15, 2021

Cache Merril. Companies can use technology roadmaps to review their internal IT , DevOps, infrastructure, architecture, software, internal system, and hardware procurement policies and procedures with innovation and efficiency in mind. How To Develop Your Business’ Technology Roadmap. How To Develop Your Business’ Technology Roadmap.

Technology 144

Technology Technology Development Strategy 144

Percona

APRIL 17, 2023

Make sure the drives are mounted with noatime and also if the drives are behind a RAID controller with appropriate battery-backed cache. This schema design approach ensures data consistency and enables complex queries involving multiple tables, but it can be rigid and may pose scaling challenges as data volume increases.

Best Practices 52

Best Practices Design Tuning Database 52

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. Cached vs Scaled Workloads. Why HammerDB was developed.

Benchmarking 63

Benchmarking Open Source C++ Cache 63

John McCalpin

APRIL 25, 2023

For most high-end processors these values have remained in the range of 75% to 85% of the peak DRAM bandwidth of the system over the past 15-20 years — an amazing accomplishment given the increase in core count (with its associated cache coherence issues), number of DRAM channels, and ever-increasing pipelining of the DRAMs themselves.

Benchmarking 97

Benchmarking Cache Latency Tuning 97

Scalegrid

JANUARY 5, 2024

It was initially designed to mitigate the limitations of file management systems, including slow operations, inadequate security, and substantial data redundancy. It comprises a collection of interrelated data and a set of software tools that aid in the access, processing, and management of data.

Efficiency 147

Efficiency Storage Database Scalability 147

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

ACM Sigarch

MAY 31, 2023

using Compute Express Link or CXL), organizing memory components for optimal performance, adapting system software traditionally designed for homogeneous memory systems, and developing memory abstractions and programming constructs for HCM management. About CXL hardware availability with academia. Using emulation (e.g.

Latency 52

Latency Hardware Cache Architecture 52

SQL Performance

DECEMBER 17, 2019

This removes the burden of purchasing and maintaining your hardware, storage and networking infrastructure, while still giving you a very familiar experience with Windows and SQL Server itself. Microsoft currently has eight main types of virtual machines designed for different types of workloads. GHz, 128MB of L3 cache, 128 PCIe 4.0

Azure 72

Azure Virtualization Servers Storage 72

SQL Performance

APRIL 27, 2020

Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. Hyperscale achieves high performance from each compute node having SSD-based caches which helps minimize the network round trips to fetch data. New Hardware Configuration for Provisioned Compute Tier. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. The design of the in-stream processing engine itself was driven by the following requirements: SQL-like functionality. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

The Morning Paper

DECEMBER 8, 2019

Byte-addressable non-volatile memory,) NVM will fundamentally change the way hardware interacts, the way operating systems are designed, and the way applications operate on data. The beauty of persistent memory is that we can use memory layouts for persistent data (with some considerations for volatile caches etc.

Hardware 56

Hardware Programming Media Storage 56

The Morning Paper

DECEMBER 10, 2019

. …software operating on persistent data structures requires "global" pointers that remain valid after a process terminates, while hardware requires that a diverse set of devices all have the same mappings they need for bulk transfers to and from memory, and that they be able to do so for a potentially heterogeneous memory system.

Hardware 52

Hardware Virtualization Operating System Programming 52

Percona

MAY 1, 2023

Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements. This not only results in cost savings by minimizing hardware requirements but also has the potential to decrease cloud expenses.

Tuning 52

Tuning Database Efficiency Performance 52

Smashing Magazine

JUNE 18, 2020

That’s because they are meant for user preferences, as mentioned here in the case of iOS and here in the Android documentation when talking about the Security library which is designed to provide wrappers to the SharedPreferences specifically to encrypt the data before storing it. Secure Storage On Mobile. Large preview ). In React Native.

Storage 103

Storage Mobile Website Java 103

ACM Sigarch

FEBRUARY 23, 2018

In industry, generally due to time-to-market restrictions, we tend to think extremely short term with evolutionary design changes rather than riskier revolutionary ideas that have a longer timeline for returns. I recall heated discussions 20+ years ago on whether speculative data in caches improves or degrades cache performance.

Architecture 48

Architecture Cache Hardware Virtualization 48

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library. in ways that are seldom transparent.

Hardware 40

Hardware Transportation Performance Latency 40

John McCalpin

AUGUST 1, 2018

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library. in ways that are seldom transparent.

Hardware 40

Hardware Transportation Performance Latency 40

Speed Curve

DECEMBER 16, 2024

Here's a recap of product highlights designed to make your performance monitoring even better and easier! Page was restored from back-forward cache – The bfcache essentially stores the full page in memory when navigating away from the page. These browser profiles don't reference specific emulated hardware or a particular browser.

Cache 52

Cache Google Metrics Hardware 52

Abhishek Tiwari

DECEMBER 27, 2017

Both Alluxio and Apache Arrow are designed to enable the data interoperability between existing big data frameworks by being a common interface for high-performance in-memory access however the approach is different. In contrast, Alluxio a middleware for data access - think Alluxio storage layer as fast cache.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49