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

All Things Distributed

MARCH 11, 2016

Failures are a given and everything will eventually fail over time: from routers to hard disks, from operating systems to memory units corrupting TCP packets, from transient errors to permanent failures. This is a given, whether you are using the highest quality hardware or lowest cost components. Primitives not frameworks.

AWS 127

AWS Hardware Retail Virtualization 127

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

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. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130

Storage Systems Big Data Azure 130

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

John McCalpin

APRIL 25, 2023

This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., This post is about a secondary performance characteristic — sustained memory bandwidth for a single thread running on a single core.

Benchmarking 97

Benchmarking Cache Latency Tuning 97

Dotcom-Montior

NOVEMBER 24, 2021

Software and hardware components are autonomous and execute tasks concurrently. Concurrency refers to the system’s ability to carry out multiple tasks in parallel and manage the access and usage of shared resources. This also includes latency, or the time it takes for data or a request to get through a network. Heterogeneity.

Systems 74

Systems Monitoring Hardware Network 74

Sutter's Mill

FEBRUARY 17, 2025

Whether it is to provide a base image with which to flash hardware in a hard reset, icons that get packaged with an application, or scripts that are intrinsically tied to the program at compilation time, there has always been a strong need to couple and ship binary data with an application. This can create variable latency during iteration.

C++ 66

C++ Programming Code Google 66

The Morning Paper

MAY 21, 2019

This boils down to a single digit µs latency toleration in the tail for far memory, and in addition to security and privacy concerns, rules out remote memory solutions. Thus we’re fundamentally trading (de)-compression latency at access time for the ability to pack more data in memory.

Software 78

Software Software Google Hardware 78

O'Reilly Software

APRIL 4, 2018

A message-oriented implementation requires an efficient messaging backbone that facilitates the exchange of data in a reliable and secure way with the lowest latency possible. When we work on a single machine, the operating system takes care of managing the resources allocated to applications.

Architecture 80

Architecture Scalability Google Operating System 80

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

The Morning Paper

APRIL 14, 2019

The paper sets out what we can do in software given today’s hardware, and along the way also highlights areas where cooperation from hardware will be needed in the future. The paper focuses on two key use cases: A confined component running in its own security domain, connected to the rest of the system by explicit (e.g.

Hardware 44

Hardware Cache Latency Speed 44

SQL Server According to Bob

JANUARY 11, 2020

Many high-end disk subsystems provide high-speed cache facilities to reduce the latency of read and write operations. Most manufacturers' implementations immediately flush pending writes to physical disk during the restart operations. Important Always consult with your hardware manufacturer for proper stable media strategies.

Servers 40

Servers Cache Media Hardware 40

John McCalpin

APRIL 25, 2023

This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., This post is about a secondary performance characteristic — sustained memory bandwidth for a single thread running on a single core.

Benchmarking 40

Benchmarking Cache Latency Tuning 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

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc.

AWS 52

AWS Database Serverless Storage 52

The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., 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.

Open Source 61

Open Source Hardware Benchmarking Systems 61

High Scalability

SEPTEMBER 14, 2018

Because of that big servers and other memory systems need to have another kind of memory in the hierarchy. SCM slots between DRAM and flash in terms of latency, cost, and density. Thus, despite both quoting 11 nines of durability against hardware failures, S3 is durable against failures that B2 is not, and is thus better.

Internet 30

Internet Internet Scalability Education 30

Brendan Gregg

AUGUST 8, 2017

Nowadays, the source code to old operating systems can also be found online. For everyone familiar with other operating systems and their CPU load averages, including this state is at first deeply confusing. **Why?** Here's an example: on an idle 8 CPU system, I launched tar to archive some uncached files.

Latency 111

Latency Metrics C++ Systems 111

SQL Server According to Bob

JANUARY 11, 2020

Subsystem / Path The ​​ I/O subsystem or path ​​ includes ​​ those ​​ components ​​ that are ​​ used to support an I/O operation. ​​ Also, it ​​ is ​​ generally impractical on a production system.

Servers 40

Servers Cache Database Media 40

Adrian Cockcroft

NOVEMBER 11, 2019

A learning organization, disaster recovery testing, game days, and chaos engineering tools are all important components of a continuously resilient system. This discussion focuses on hardware, software and operational failure modes. Try to measure your mean time to respond (MTTR) for incidents.

Latency 53

Latency Systems Engineering Hardware 53

Adrian Cockcroft

NOVEMBER 11, 2019

A learning organization, disaster recovery testing, game days, and chaos engineering tools are all important components of a continuously resilient system. This discussion focuses on hardware, software and operational failure modes. Try to measure your mean time to respond (MTTR) for incidents.

Latency 52

Latency Systems Engineering Hardware 52

Smashing Magazine

JANUARY 7, 2019

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). Parsing and executing times vary significantly depending on the hardware of a device.

Performance 111

Performance Cache Network Metrics 111