Scalegrid

JANUARY 21, 2025

Identifying key Redis metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 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. Remember that these are calls to the operating system – kernel calls.

Latency 79

Latency Cache Programming Operating System 79

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

MARCH 23, 2023

By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. Operating system Linux is the most common operating system for high-performance MySQL servers. A recommended value is two times the number of CPUs plus the number of disks.

Performance 144

Performance Hardware Tuning Storage 144

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

ScaleOut Software

MAY 15, 2014

Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. During load-balancing, the client gets the following exception when accessing the cache: ErrorCode<ERRCA0017>:SubStatus<ES0006>:There is a temporary failure. Please retry later.

Cache 40

Cache Servers Network Design 40

All Things Distributed

OCTOBER 2, 2017

The success of our early results with the Dynamo database encouraged us to write Amazon's Dynamo whitepaper and share it at the 2007 ACM Symposium on Operating Systems Principles (SOSP conference), so that others in the industry could benefit. This was the genesis of the Amazon Dynamo database.

Internet 111

Internet Internet AWS Performance 111

Scalegrid

FEBRUARY 8, 2024

By implementing data replication strategies, distributed storage systems achieve greater. Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions.

Storage 130

Storage Systems Big Data Azure 130

John McCalpin

APRIL 2, 2020

All of the SPECfp_rate2000 results were downloaded from www.spec.org, the results were sorted by processor type, and “peak floating-point operations per cycle” was manually added for each processor type. This includes all architectures, all compilers, all operating systems, and all system configurations.

Benchmarking 59

Benchmarking Performance Latency Architecture 59

Smashing Magazine

OCTOBER 31, 2023

If throttling is applied at the operating system level , then the metrics match what a real user with those network conditions would experience. INP is a measure of the latency for all interactions on a given page, where the highest latency — or close to it — informs the final score.

Speed 117

Speed Google Website Metrics 117

The Morning Paper

DECEMBER 10, 2019

Drawing inspiration from work on single-address-space (SAS) operating systems a single system-wide mapping is maintained by the OS which all devices use for accessing memory. It’s the job of the operating system to manage the global and logical object space abstractions. A prototype implementation.

Hardware 52

Hardware Virtualization Operating System Programming 52

Adrian Cockcroft

JANUARY 20, 2023

To me this positions Fugaku as the first of a new mainstream, rather than a special purpose system. I have always been particularly interested in the interconnects and protocols used to create clusters, and the latency and bandwidth of the various offerings that are available.

Architecture 52

Architecture Latency Benchmarking AWS 52

The Morning Paper

APRIL 14, 2019

Microarchitectural state of interest includes data and instruction caches, TLBs, branch predictors, instruction- and data-prefetcher state machines, and DRAM row buffers. cache) can be partitioned across domains; for those that are instead time-multiplexed, we have to flush them during domain switches.

Hardware 44

Hardware Cache Latency Speed 44

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. This means that the overheads of system calls become much more noticeable. in front of that memory , as we saw last week).

Hardware 56

Hardware Programming Media Storage 56

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 40

Benchmarking Cache Latency Tuning 40

John McCalpin

APRIL 2, 2020

All of the SPECfp_rate2000 results were downloaded from www.spec.org, the results were sorted by processor type, and “peak floating-point operations per cycle” was manually added for each processor type. This includes all architectures, all compilers, all operating systems, and all system configurations.

Benchmarking 40

Benchmarking Performance Latency Architecture 40

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100.

Best Practices 52

Best Practices Design Tuning Database 52

SQL Server According to Bob

JANUARY 11, 2020

Stable media is commonly physical disk storage, but other devices and certain caching facilities qualify as well. Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. This cache is often supported by a battery-powered backup facility.

Servers 40

Servers Cache Media Hardware 40

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

The Morning Paper

MAY 12, 2019

The paper examines the implications of microservices at the hardware, OS and networking stack, cluster management, and application framework levels, as well as the impact of tail latency. Smaller microservices demonstrated much better instruction-cache locality than their monolithic counterparts. Hardware implications.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Smashing Magazine

JANUARY 7, 2019

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. PRPL stands for Pushing critical resource, Rendering initial route, Pre-caching remaining routes and Lazy-loading remaining routes on demand. An application shell is the minimal HTML, CSS, and JavaScript powering a user interface.

Performance 111

Performance Cache Network Metrics 111