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. The term site reliability engineering first came into existence at Google in 2003 when a site reliability team was created. At that time, the team was made up of software engineers.

Engineering 67

Engineering DevOps Monitoring Google 67

Dynatrace

NOVEMBER 1, 2022

These metrics help to keep a network system up and running?, Containment: Implements actions to safeguard affected systems, resolves incidents quickly and escalates an event to other teams when necessary. Maintenance: Reduces the risk of an incident occurring again with root-cause analysis and continuous improvements to the system.

DevOps 207

DevOps Artificial Intelligence Metrics Network 207

The Morning Paper

MARCH 8, 2020

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. 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.

Storage 112

Storage Engineering Cache Serverless 112

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Dynatrace news. What is AWS Lambda? Customizing and connecting these services requires code.

Lambda 180

Lambda AWS Serverless Hardware 180

Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Improved performance : MongoDB continually fine-tunes its database engine, resulting in faster query execution and reduced latency. Ready to supercharge your MongoDB experience?

Best Practices 86

Best Practices Hardware Tuning Scalability 86

Dynatrace

APRIL 15, 2022

In the past, severe database issues seriously hurt system performance, causing delayed shipping times for prescriptions. While modern cloud systems simplify tasks — such as deploying apps and provisioning new hardware and servers — cloud environments can be surprisingly complex. Operations teams can run more efficiently.

Cloud 177

Cloud Infrastructure Innovation Monitoring 177

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 104

Performance Monitoring Traffic Database 104

Percona

DECEMBER 27, 2023

The field of Platform Engineering has witnessed significant advancements, as evidenced by the publication of the CNCF platform whitepaper and the introduction of a dedicated Platform Engineering day at the upcoming KubeCon event. They also remove toil and allow engineers to focus on application development vs platform engineering work.

Cloud 79

Cloud Open Source Strategy Best Practices 79

Dynatrace

SEPTEMBER 30, 2021

Like any move, a cloud migration requires a lot of planning and preparation, but it also has the potential to transform the scope, scale, and efficiency of how you deliver value to your customers. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Here are three.

Cloud 165

Cloud Traffic Best Practices Strategy 165

The Netflix TechBlog

JUNE 4, 2019

We were able to meaningfully improve both the predictability and performance of these containers by taking some of the CPU isolation responsibility away from the operating system and moving towards a data driven solution involving combinatorial optimization and machine learning. We want to extend the system to support CPU oversubscription.

Cache 251

Cache Latency Airlines Logistics 251

ACM Sigarch

APRIL 26, 2018

The new DGX-2, which achieves 2 petaFLOPS in the system, combines 16 fully interconnected GPUS with 10x the deep learning performance. HPU: Holographic Processing Unit (HPU) is the specific hardware of Microsoft’s Hololens. For example, a research group from Japan proposed QUEST, an NPU which is a log-quantized DNN inference engine.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

ACM Sigarch

AUGUST 3, 2023

Embodied carbon is due to Scope 3, e.g., manufacturing IT hardware and datacenter construction. Several recent studies have noted that trends like dark silicon have exacerbated the disparity between embodied carbon and operational carbon because energy-efficiency optimization has traded gains in the latter for increases in the former.

Energy 98

Energy Architecture Hardware Metrics 98

Dotcom-Montior

DECEMBER 8, 2021

In the world of a site reliability engineer (SRE) , failure is not only an option, but also expected. Systems, web applications, servers, devices, etc., In a different article, we talked about chaos engineering and how SRE teams proactively seek out and test for failures to prevent the worst from happening. What is an Incident?

Social Media 90

Social Media Monitoring Latency DevOps 90

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. Managed here means that the system automates resource provisioning for models to match a set of SLO constraints (cf. autoscaling).

Hardware 58

Hardware Latency Serverless Energy 58

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

Tasktop

MAY 28, 2020

The first geodetic SECOR satellite surveying system to offer coast-to-coast measurement of the country. And first to invent the “Top Gun” Air Combat Training System back in the early ‘70s. . We’ve widely distributed Project to Product across engineering. Accelerating with a Software/Hardware Hybrid.

Speed 52

Speed Metrics Transportation Hardware 52

The Morning Paper

JANUARY 30, 2020

physics engine that simulates 3D cubes falling from the air. The Mobile Web Worker (MWW) System. The Mobile Web Worker (MWW) System introduces a new client-side Mobile Web Worker Manager component which is responsible for managing web workers, including their migration when this is estimated to be beneficial.

Mobile 104

Mobile Cloud Latency Games 104

Testsigma

FEBRUARY 12, 2021

The way we now look at software engineering has revolutionized test automation, with QA teams adapting automation to expand test scope, increase efficiency and do more testing in less time. In such cases, mostly what is needed is the efficient implementation of test automation.

Testing 54

Testing Testing Tools Software Engineering Efficiency 54

Highly Scalable

AUGUST 20, 2013

In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, Apache Spark, and Apache Tez appeared and joined the army of Big Data and NoSQL systems. The design of the in-stream processing engine itself was driven by the following requirements: SQL-like functionality.

Big Data 154

Big Data Processing Lambda Database 154

Testsigma

JULY 3, 2021

But for the uninitiated, on-premise testing is a form of testing where testers perform tests on local machines, systems, or devices set up at an office. More control: While performing on-premise testing, organizations have more control over configurations, setup, hardware, and software. As the name suggests, it happens on-premise.

Cloud 57

Cloud Testing Storage DevOps 57

Testsigma

SEPTEMBER 9, 2021

Resources can be any element i.e., hardware, software, or infrastructure which are necessary to carry out tests. With Testsigma, test engineers, QA teams, and business users can create, run and maintain automated tests easily so you can build high-quality applications faster. Execute test cases on cloud.

Cloud 59

Cloud Testing Mobile Scalability 59

All Things Distributed

MARCH 11, 2015

In the past analytics within an organization was the pinnacle of old style IT: a centralized data warehouse running on specialized hardware. With the new BI system the company is able to run analytics across 140 stories per day, in real time, and increase their agility for completing analytics tasks from months to days.

Analytics 135

Analytics Cloud Healthcare Retail 135

All Things Distributed

SEPTEMBER 4, 2017

The management consultants at McKinsey expect that the global market for AI-based services, software and hardware will grow annually by 15-25% and reach a volume of around USD 130 billion in 2025. For the past 20 years, thousands of software engineers at Amazon have been working on ML. Machine Leaning at Amazon.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Abhishek Tiwari

JULY 12, 2018

These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. Not everyone is operating at Netflix or Spotify scale data engineering function. In a nutshell, a data pipeline is a distributed system.

Latency 63

Latency Analytics Scalability Engineering 63

Abhishek Tiwari

DECEMBER 13, 2017

This has far-reaching implications how future data systems and algorithms will be designed. Apart from indexes, super efficient sorting and join operations are some major areas come to my mind with immediate benefits of using learned data structure. In their paper titled as The Case for Learned Index Structures Kraska et al.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

Dynatrace

OCTOBER 28, 2020

As a PSM system administrator, you’ve relied on AppMon as a preconfigured APM tool for detecting, diagnosing, and repairing problems that impact the operational health of your Windchill application suite. This enables organizations to innovate faster, collaborate more efficiently, and deliver more value with dramatically less effort.

Monitoring 146

Monitoring Systems Infrastructure Cloud 146

Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

DZone

AUGUST 16, 2019

Application scalability is the potential of an application to grow in time, being able to efficiently handle more and more requests per minute (RPM). It’s not just a simple tweak you can turn on/off; it’s a long-time process that touches almost every single item in your stack, including both hardware and software sides of the system.

Scalability 145

Scalability Efficiency Hardware Software 145

Dynatrace

MAY 1, 2023

In addition to improved IT operational efficiency at a lower cost, ITOA also enhances digital experience monitoring for increased customer engagement and satisfaction. Additionally, ITOA gathers and processes information from applications, services, networks, operating systems, and cloud infrastructure hardware logs in real time.

Analytics 188

Analytics Artificial Intelligence Big Data Open Source 188

Testsigma

JANUARY 30, 2021

As mobile phones are readily available, users try to open that particular application on a mobile web browser, instead of signing into their systems and hitting the URL. Each smartphone comes with various screen sizes and resolutions, operates on different network speeds, and has different hardware capabilities. Signup Now.

Mobile 52

Mobile Testing Website Internet 52

Scalegrid

DECEMBER 21, 2023

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. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

The Netflix TechBlog

DECEMBER 23, 2020

By Fabio Kung , Sargun Dhillon , Andrew Spyker , Kyle , Rob Gulewich, Nabil Schear , Andrew Leung , Daniel Muino, and Manas Alekar As previously discussed on the Netflix Tech Blog, Titus is the Netflix container orchestration system. We do this for reliability, scalability, and efficiency reasons.

Media 286

Media Metrics Systems Processing 286

The Netflix TechBlog

MARCH 8, 2021

As an engineer, I can work anywhere with a standard laptop as long as I have an IDE and access to Stack Overflow. They need specialized hardware, access to petabytes of images, and digital content creation applications with controlled licenses. We needed a system that could manage hundreds to one-day thousands of workstations.

Entertainment 306

Entertainment Storage Hardware Open Source 306

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. Running containers : Docker Engine is a container runtime that runs in almost any environment: Mac and Windows PCs, Linux and Windows servers, the cloud, and on edge devices.

Open Source 302

Open Source Traffic DevOps Cloud 302

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. In contrast to the single system tablespace that holds system tables by default, general tablespaces are user-defined storage containers for multiple InnoDB tables.

Storage 87

Storage Engineering Database Hardware 87