Dotcom-Montior

OCTOBER 6, 2021

A site reliability engineer, or SRE, is a role that that encompasses aspects of both software engineering and operations/infrastructure. At that time, the team was made up of software engineers. Site reliability engineers bridge the gap between operations and software developers. What are Some Common SRE Responsibilities?

Engineering 67

Engineering DevOps Monitoring Google 67

Abhishek Tiwari

JULY 12, 2018

Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

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. It should offer high bandwidth, horizontal scalability, fault tolerance, and strong consistency. Supporting new storage hardware.

Storage 64

Storage Systems Hardware Efficiency 64

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Latency Optimizers” – need support for very large federated deployments.

Hardware 56

Hardware Latency Virtualization Cloud 56

All Things Distributed

JANUARY 23, 2012

Werner Vogels weblog on building scalable and robust distributed systems. The Amazon Virtual Private Cloud extends on-premises compute with all the power of AWS, making it elastic, scalable and highly reliable. The AWS Storage Gateway is a service connecting an on-premises software appliance with cloud-based storage.

Storage 115

Storage AWS Virtualization Cloud 115

Dotcom-Montior

DECEMBER 8, 2021

Software services still require physical devices and hardware for them to function. While the benefits of these systems are that they are more reliable, scalable, and fault tolerant, this also makes them extremely complex, which can result in longer remediation times as issues are harder to detect and pinpoint. Asset Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

KeyCDN

AUGUST 15, 2019

In the context of web development, performance testing entails using software tools to simulate how an application runs under specific circumstances. Quantitative performance testing looks at metrics like response time while qualitative testing is concerned with scalability, stability, and interoperability. What is Performance Testing?

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. During my academic career, I spent many years working on HPC technologies such as user-level networking interfaces, large scale high-speed interconnects, HPC software stacks, etc. All Things Distributed. By Werner Vogels on 12 July 2010 05:00 PM. Comments ().

Cloud 118

Cloud AWS Automotive Latency 118

VoltDB

JUNE 1, 2017

Hardware Optimizers” want to get the maximum utilization out of hardware. These systems were designed to have a lifetime of half a decade or more, and rapidly changing hardware meant that the initial deployment had to be sized for 5-7 years out. Latency Optimizers” – need support for very large federated deployments.

Hardware 40

Hardware Latency Virtualization Cloud 40

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

Abhishek Tiwari

DECEMBER 27, 2017

Over last few years, we have seen several attempts to run data workload in the containers especially distributed big data frameworks like Apache Hadoop, Apache Storm [3] , and Apache Spark [4] [5] without any software modifications. Obviously, containerized data workloads have their own challenges. optimised container networking and security.

Big Data 63

Big Data Storage Benchmarking Hardware 63

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput. This was both expensive and time consuming to configure.

C++ 40

C++ Benchmarking Virtualization Open Source 40

All Things Distributed

JANUARY 18, 2012

Werner Vogels weblog on building scalable and robust distributed systems. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. The original Dynamo design was based on a core set of strong distributed systems principles resulting in an ultra-scalable and highly reliable database system.

Scalability 167

Scalability Database Ecommerce Latency 167

All Things Distributed

APRIL 4, 2017

After the launch of the AWS EU (Stockholm) Region, there will be 13 Availability Zones in Europe for customers to build flexible, scalable, secure, and highly available applications. This enables customers to serve content to their end users with low latency, giving them the best application experience.

AWS 116

AWS Airlines Latency Games 116

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. The architects and developers who create the software must design it to be observed.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

HammerDB

OCTOBER 8, 2018

This limitation is at the database level rather than the hardware level, nevertheless with up to date hardware (from mid-2018) PostgreSQL on a 2 socket system can be expected to deliver more than 2M PostgreSQL TPM and 1M NOPM with the HammerDB TPC-C test. . CPUs which run at the same hardware frequency: 0. Latency: 0.

Best Practices 40

Best Practices Scalability Performance Hardware 40

Percona

NOVEMBER 9, 2023

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. But for those who are not so familiar, in this post, we will discuss how Kubernetes has emerged as the unsung hero in an industry where agility and scalability are critical success factors. have adopted Kubernetes.

Efficiency 105

Efficiency Cloud Healthcare Open Source 105

All Things Distributed

MARCH 11, 2016

Looking back over the past 10 years, there are hundreds of lessons that we’ve learned about building and operating services that need to be secure, reliable, scalable, with predictable performance at the lowest possible cost. This is a given, whether you are using the highest quality hardware or lowest cost components.

AWS 144

AWS Hardware Retail Virtualization 144

Dotcom-Montior

MAY 12, 2020

Modern web applications and pages, such as single-page applications, that put the user experience at its utmost priority are expected to be available 24/7, anywhere in the world, usable on any screen size, secure, flexible, scalable and be ready to meet traffic spikes on demand. Network latency. Hardware resources. Wi-Fi usage.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Dotcom-Montior

NOVEMBER 24, 2021

A three-tier system is a software application architecture that consists of a presentation layer, application layer, and data, or core, layer. Software and hardware components are autonomous and execute tasks concurrently. Scalability. Blockchain is a good example of this. Three-Tier. Concurrency. Heterogeneity.

Systems 74

Systems Monitoring Hardware Network 74

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. driver: intel_pstate CPUs which run at the same hardware frequency: 0 . CPUs which need to have their frequency coordinated by software: 0 . hardware limits: 1000 MHz - 3.80

Best Practices 40

Best Practices Scalability Performance C++ 40

All Things Distributed

JULY 14, 2015

In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. A more scalable option is to decouple these systems and build a pipe that connects these engines and feeds all change records from the source database to the data warehouse (e.g.,

Database 167

Database Lambda AWS IoT 167

High Scalability

SEPTEMBER 14, 2018

Uniting multidisciplinary teams of researchers and educators from 17 universities, IRIS-HEP will receive $5 million a year for five years from the NSF with a focus on producing innovative software and training the next generation of users. SCM slots between DRAM and flash in terms of latency, cost, and density. They're generally right.

Internet 30

Internet Internet Scalability Education 30

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. Kafka messaging queue is well known implementation of such a buffer that also supports scalable distributed deployments, fault-tolerance, and provides high performance.

Big Data 154

Big Data Processing Lambda Database 154

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

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63

O'Reilly Software

APRIL 4, 2018

Here are five considerations every software architect and developer needs to take into account when setting the architectural foundations for a fast data platform. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. Determine requirements first. At least once?

Architecture 80

Architecture Scalability Google Operating System 80

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. For example, the most fundamental abstraction trade-off has always been latency versus throughput. The throughput of this pipeline is more important than the latency of the individual operations. All Things Distributed. Comments (). Where to go from here?

AWS 136

AWS Latency Programming Architecture 136

Dynatrace

AUGUST 5, 2019

With Dynatrace, we follow a combination of agent and agent-less approach where the “secret sauce” lies in our Dynatrace OneAgent (watch my Performance Clinic YouTube tutorial with our Chief Software Architect Helmut Spiegl ). if you have a feature that relies on dedicated hardware and that users only execute once per week (e.g:

Cloud 31

Cloud Traffic Database Network 31

KeyCDN

JULY 11, 2019

Using an image CDN, such as KeyCDN, can significantly reduce the latency of your image delivery. This is crucial due to mobile devices requiring additional optimizations because they typically have less powerful hardware and a slower network connection when compared to desktop devices. Mbps ( Opensignal ).

Speed 52

Speed Website Mobile Latency 52

SQL Server According to Bob

JANUARY 11, 2020

ReadFile WriteFile ReadFileScatter WriteFileGather GetOverlappedResult ​​ For extended details on the 823 error, see ​​ Error message 823 may indicate hardware problems or system problems ​​ ( [link] i crosoft.com/default.aspx?scid=kb ​​ Contact your hardware manufacture for assistance.

Servers 40

Servers Cache Database Media 40

The Morning Paper

NOVEMBER 15, 2020

Improving the efficiency with which we can coordinate work across a collection of units (see the Universal Scalability Law ). This makes the whole system latency sensitive. Regular expression matching is well studied, but state of the art hardware algorithms don’t reach the performance and memory targets needed for Pigasus.

Servers 128

Servers Hardware Latency Design 128

Smashing Magazine

JANUARY 6, 2020

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Designed for the modern web, it responds to actual congestion, rather than packet loss like TCP does, it is significantly faster , with higher throughput and lower latency — and the algorithm works differently.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Designed for the modern web, it responds to actual congestion, rather than packet loss like TCP does, it is significantly faster , with higher throughput and lower latency — and the algorithm works differently.

Performance 145

Performance Cache Media Metrics 145

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). A good starting point is to choose a good default stack for your application.

Performance 104

Performance Cache Metrics Network 104