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. trying to reduce the amount of manual work and ensuring all the components (infrastructure/hardware, middleware, software, etc.) What are Some Common SRE Responsibilities? Performance.

Engineering 67

Engineering DevOps Monitoring Google 67

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 118

Cloud AWS Automotive Latency 118

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. 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

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

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. Our Premium High Availability comes with the following features: Active-active deployment model for optimum hardware utilization. Save on costs for hardware and network bandwidth to optimize total cost of ownership. Self-contained turnkey solution.

Availability 247

Availability Hardware Latency Traffic 247

The Morning Paper

JANUARY 28, 2020

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. " SoCC’19. "Narrowing Shredder’s implementation is built on top of Seastar.

Serverless 99

Serverless Storage Latency Cloud 99

All Things Distributed

MARCH 11, 2016

This is a given, whether you are using the highest quality hardware or lowest cost components. This becomes an even more important lesson at scale: for example, as S3 processes trillions and trillions of storage transactions, anything that has even the slightest probability of error will become realistic. Primitives not frameworks.

AWS 144

AWS Hardware Retail Virtualization 144

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. In this blog, we will answer all of these important questions and provide a general overview comparing the two database services, Aurora vs RDS.

AWS 52

AWS Database Serverless Storage 52

All Things Distributed

DECEMBER 12, 2018

In April 2017, Amazon Web Services announced that it would launch a new AWS infrastructure region Region in Sweden. They can run applications in Sweden, serve end users across the Nordics with lower latency, and leverage advanced technologies such as containers, serverless computing, and more. Public sector.

AWS 124

AWS Cloud Games Serverless 124

All Things Distributed

JANUARY 18, 2012

Amazon DynamoDB offers low, predictable latencies at any scale. In response, we began to develop a collection of storage and database technologies to address the demanding scalability and reliability requirements of the Amazon.com ecommerce platform. s read latency, particularly as dataset sizes grow. The growth of Amazonâ??s

Scalability 167

Scalability Database Ecommerce Latency 167

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. The initial implementation was removed from Blink post-fork and re-implemented on new infrastructure several years later. For heavily latency-sensitive use-cases like WebXR, this is a critical component in delivering a good experience. Where Chrome Has Lagged.

Media 145

Media Games Education Engineering 145

Percona

APRIL 17, 2023

The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all. However, it can lead to the storage of redundant data and make it more difficult to maintain data consistency.

Best Practices 52

Best Practices Design Tuning Database 52

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. Try to measure your mean time to respond (MTTR) for incidents.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. Try to measure your mean time to respond (MTTR) for incidents.

Latency 53

Latency Engineering Systems Hardware 53

All Things Distributed

NOVEMBER 15, 2010

For example, the most fundamental abstraction trade-off has always been latency versus throughput. Modern CPUs strongly favor lower latency of operations with clock cycles in the nanoseconds and we have built general purpose software architectures that can exploit these low latencies very well. General Purpose GPU programming.

AWS 136

AWS Latency Programming Architecture 136

Dynatrace

AUGUST 5, 2019

For our migration projects, we simply roll out Dynatrace OneAgents on the existing infrastructure. Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. Optimize Query Performance and Data Storage Cost.

Cloud 31

Cloud Traffic Database Network 31

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. In 2016, Jio swept over the subcontinent like a monsoon dropping a torrent of 4G infrastructure and free data rather than rain. Hardware Past As Performance Prologue. The Moto G4 , for example.

Performance 124

Performance Network Cache Metrics 124

Alex Russell

OCTOBER 22, 2017

Teams with this support are free to set performance budgets, do “bakeoffs” between competing approaches, and invest in performance infrastructure. It simulates a link with a 400ms RTT and 400-600Kbps of throughput (plus latency variability and simulated packet loss). Performance budgets keep everyone on the same.

Performance 68

Performance Benchmarking Network Mobile 68

Alex Russell

JULY 14, 2021

Here, native apps are doing work related to their core function; storage and tracking of user data are squarely within the four corners of the app's natural responsibilities. Hardware access APIs, notably: Geolocation. Such enforcement is not challenging for Google, given its existing binary analysis infrastructure. Web Serial.

Google 121

Google Mobile Engineering Internet 121

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