High Scalability

JANUARY 11, 2022

We can use cloud technologies such as Amazon Kinesis or Azure Stream Analytics for collecting, processing, and analyzing real-time, streaming data to get timely insights and react quickly to new information(e.g. It’s apparent that the most important features for feed ranking will be related to social network. References.

Design 334

Design Media Storage Logistics 334

The Netflix TechBlog

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and Over the course of the four years it became clear that I enjoyed combining analytical skills with solving real world problems, so a PhD in Statistics was a natural next step. Photo from a team curling offsite? Is the benefit uniform, or do certain cohorts of members?—?such

Analytics 223

Analytics Education Innovation Engineering 223

Dynatrace

MAY 24, 2021

In recognition of partner architects, engineers, administrators, consultants, and delivery roles that invest in formal Dynatrace training and certification, we launched Pro Club as an exclusive community for those who achieve Dynatrace Professional certification. Training & Certification Award: Accenture. Partner Pro Club.

Programming 178

Programming Cloud Virtualization Technology 178

The Netflix TechBlog

MAY 21, 2019

We thought that reinforcement learning would be a promising approach that could provide great flexibility in the training process. Likewise it has very low requirements on the initial amount of training data. We needed a way to run agents and tie the runs to the internal infrastructure for analytics, reporting, and visualizations.

Testing 163

Testing AWS Lambda Network 163

Scalegrid

JANUARY 11, 2024

Sophisticated monitoring solutions like Exabeam Fusion SIEM and Fusion XDR provide thorough analysis, behavioral analytics, and automated features to improve the identification of advanced attacks and insider threats. Companies like Palo Alto Networks Cloud Security, Fortinet Cloud, and Trend Micro.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Testsigma

NOVEMBER 11, 2020

Network Disconnections. Network disconnection is a common automation challenge that a QA team faces wherein they find it hard to access databases, VPN, third party services, APIs, specific testing environments, etc. due to unstable network connections. Upfront Investment.

Testing 85

Testing Mobile Network Analytics 85

CSS Wizardry

OCTOBER 27, 2018

Things always always feel fast when we’re developing because, more often than not, we’re working on high-spec machines on dedicated networks, and also serving from localhost which removes the bulk of the latency and bandwidth issues that a real user would suffer. How: RUM tooling, analytics, monitoring. Who: Engineers.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

The Morning Paper

JUNE 6, 2019

Federated Learning (FL) is a distributed machine learning approach which enables training on a large corpus of decentralized data residing on devices like mobile phones. Here we’re actually training the model in a distributed fashion, using data collected on the devices, without the data ever leaving those devices. Federated Averaging.

Systems 71

Systems Design Google Servers 71

Tasktop

JUNE 25, 2019

The complex — and often implicit — network of teams, tools and processes that plan, build and deliver are disconnected by the role-specific tools used by teams across the ideate, create, release and operate stages. . After attending training, you will have the knowledge to become a VSM ambassador at your organization or agency.

Speed 40

Speed Software Software DevOps 40

Testsigma

DECEMBER 20, 2019

Deep learning : Uses multiple layers of neural networks that extract information progressively from the input. Computer vision : Training computers to understand or interpret the visual world from images, videos and deep learning models. Two main kinds include supervised and unsupervised learning algorithms.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

Dynatrace

JANUARY 31, 2024

This unified approach reduces the total cost of ownership (TCO), cutting down on the overhead costs associated with managing multiple standalone tools and training costs and simplifying procurement and vendor management. Infrastructure monitoring mode offers the same capabilities except tracing and profiling.

Analytics 182

Analytics Infrastructure Monitoring Cloud 182

Dynatrace

JANUARY 8, 2020

You told us you wanted more hands-on training (HOT) Days, so you could attend more sessions, learn more about Dynatrace, and network with your fellow attendees. This year at Perform Las Vegas 2020 , we’re ramping up our Dynatrace University offerings because we know this is one of your favorite parts of attending Perform.

Performance 28

Performance Analytics Architecture Network 28

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). It works without having to identify training data, then training and honing.

DevOps 206

DevOps Artificial Intelligence Healthcare Innovation 206

The Agile Manager

JANUARY 31, 2014

Yet we continue to find new applications for software: it is increasingly a product differentiator (embedded systems) or a product category of its own (social networking). The horrific explosion of the oil tank train that devastated Lac-Mégantic in 2012 was in no small part the result of demand exceeding supply.

Software 73

Software Software Development Government 73

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

The Netflix TechBlog

APRIL 29, 2019

Open Connect Open Connect is Netflix’s content delivery network (CDN). video streaming) takes place in the Open Connect network. The network devices that underlie a large portion of the CDN are mostly managed by Python applications. CORE The CORE team uses Python in our alerting and statistical analytical work.

Open Source 279

Open Source Network Infrastructure Big Data 279

Scalegrid

JANUARY 12, 2024

This is sometimes referred to as using an “over-cloud” model that involves a centrally managed resource pool that spans all parts of a connected global network with internal connections between regional borders, such as two instances in IAD-ORD for NYC-JS webpage DNS routing. Additionally. This also aids scalability down the line.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

FEBRUARY 23, 2022

In December 2021, many organizations were forced to take devices and applications offline to prevent malicious attackers from gaining access to networks and sensitive data. With MLOps, data needs to be trained to understand normal behavior and what is anomalous. Unlike MLOps, AIOps doesn’t require training of data. and 2.14.1.

Serverless 275

Serverless Infrastructure Innovation DevOps 275

Dynatrace

SEPTEMBER 21, 2023

Research from 2020 suggests that training a single LLM generates around 300,000 kg of carbon dioxide emissions—equal to 125 round-trip flights from New York to London. The app’s advanced algorithms and real-time data analytics translate utilization metrics into their CO2 equivalent (CO2e).

Energy 243

Energy Cloud Airlines Strategy 243

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., Ambient faults due to e.g. hardware faults, network timeouts, and gray failures are occurring all the time, and many of these are unrelated to deployments. NSDI’20. Gandalf in action.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

O'Reilly

NOVEMBER 28, 2023

Training models and developing complex applications on top of those models is becoming easier. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). report that the difficulty of training a model is a problem.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

All Things Distributed

OCTOBER 25, 2018

That's where we built many pioneering networking technologies, our next-generation software for customer support, and the technology behind our compute service, Amazon EC2. In 2017, we brought the Amazon Global Network to Africa, through AWS Direct Connect. Since then, we have seen an acceleration in AWS adoption.

AWS 167

AWS Cloud Education Programming 167

Dynatrace

AUGUST 27, 2020

The latest batch of services cover databases, networks, machine learning and computing. AWS IoT Analytics. Top use cases include recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Dynatrace analyzes Amazon Neptune performance of resources (CPU, memory, network), requests and errors.

AWS 274

AWS Cloud IoT Database 274

The Netflix TechBlog

JANUARY 10, 2024

This drove the approach of the “release train”. For the streaming use case, the generated videos are deployed to our content delivery network (CDN) for Netflix members to consume. Every two weeks, a “snapshot” of all modules was taken, and promoted to be a “release candidate”. These videos can easily be watched millions of times.

Processing 229

Processing Media Latency Innovation 229

Alex Russell

JANUARY 30, 2024

It's time once again to update our priors regarding the global device and network situation. seconds on the target device and network profile, consuming 120KiB of critical path resources to become interactive, only 8KiB of which is script. What's changed since last year? and 75KiB of JavaScript. These are generous targets.

Performance 90

Performance Network Mobile Speed 90

Dynatrace

NOVEMBER 15, 2021

But cloud transformation makes detecting the epicenter of a failure much more challenging, as outages can be caused by your cloud provider, a third party helping deliver personalized experiences, your content delivery network (CDN), and many other services you may be leveraging.

Mobile 226

Mobile Social Media Monitoring Metrics 226

ScaleOut Software

JANUARY 28, 2021

We are faced with quickly building a nationwide logistics network and standing up well more than 50,000 vaccination centers. For vaccination centers, real-time digital twins can track location, the supply of vaccines, current demand (number of recipients), availability of trained personnel to perform injections, and other parameters.

Logistics 84

Logistics Airlines Analytics Ecommerce 84

Smashing Magazine

AUGUST 3, 2023

As an online booking platform, we connect travelers with transport providers worldwide, offering bus, ferry, train, and car transfers in over 30 countries. You need to beware that slow server response times can significantly increase TTFB, often due to server overload, network issues, or un-optimized logic on the server side.

Performance 74

Performance Cache Traffic Metrics 74

IO River

NOVEMBER 15, 2023

The OSI Model is like a layer cake of how data moves through networks. This means it specifically looks at the content of the data (like the writing inside our letters from the analogy) rather than just the envelope.So, what is the difference between a Firewall at the application level and network level?Network-level

Traffic 52

Traffic Network Logistics Architecture 52

All Things Distributed

DECEMBER 13, 2016

GoSquared provides various analytics services that web and mobile companies can use to understand their customers' behaviors. Fraud.net use AWS to support highly scalable, big data applications that run machine learning processes for real-time analytics. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. User experience and business analytics. What does APM stand for?

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Smashing Magazine

NOVEMBER 22, 2021

This includes building websites, hosting websites, managing campaigns, SEO, analytics, CRM, and much more. While mobile devices have come a long way in terms of network and CPU speed, many of them are still significantly underpowered when compared to desktops, especially in countries where mobile connectivity is still poor.

Website 126

Website Performance Google Media 126

IO River

NOVEMBER 2, 2023

The OSI Model is like a layer cake of how data moves through networks. This means it specifically looks at the content of the data (like the writing inside our letters from the analogy) rather than just the envelope.So, what is the difference between a Firewall at the application level and network level?Network-level

Traffic 40

Traffic Network Logistics Architecture 40

Speed Curve

FEBRUARY 10, 2020

Fully Loaded – The page has completely loaded with no network activity for 2 seconds. Teams at media organizations are tasked to collect a huge amount of user data, so we see a lot of tracking and analytics tags. Appreciate the difference between fast vs slow. Which metrics correlate with user-perceived performance?

Benchmarking 134

Benchmarking Speed Performance Media 134

Alex Russell

MAY 9, 2022

Reduced network and device capacity correlate with other access challenges. through one of the dozens of analytics tools they've inevitably integrated over the years), but nobody looks at it. Folks with powerful laptops, new iPhones, and low-latency networks are noticing, which is a very bad sign. Photo by von Vix.

Performance 86

Performance Latency Metrics Engineering 86

O'Reilly

OCTOBER 11, 2022

As a trend, it’s not performing well on Google; it shows little long-term growth, if any, and gets nowhere near as many searches as terms like “Observability” and “Generative Adversarial Networks.” Was it trained using biased, unfair data? Is special-purpose training to fine-tune a model’s behavior an option?

Games 116

Games Healthcare Processing Retail 116

All Things Distributed

APRIL 27, 2011

We use high-performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques. Driving down the cost of Big-Data analytics.

Technology 151

Technology Technology AWS Storage 151