The Netflix TechBlog

NOVEMBER 17, 2022

A distinct, NN-based, video processing block can evolve independently, be used beyond video downscaling and be combined with different codecs. Our approach to NN-based video downscaling The deep downscaler is a neural network architecture designed to improve the end-to-end video quality by learning a higher-quality video downscaler.

Network 292

Network Media Innovation Efficiency 292

Dynatrace

FEBRUARY 1, 2024

For example, a CNBC report found that training just one LLM can cost millions of dollars, and then millions more to update. Architecture. With its topology mapping and dependency tracking, Dynatrace provides tools that help analysts determine which processes use what resources to troubleshoot and optimize at the process level.

Cloud 199

Cloud Energy Innovation Infrastructure 199

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. The Greenplum Architecture. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

MAY 2, 2024

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. As organizations train generative AI systems with critical data, they must be aware of the security and compliance risks. Here’s what you need to know.

Artificial Intelligence 218

Artificial Intelligence Cloud Best Practices DevOps 218

Dynatrace

FEBRUARY 23, 2022

DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues.

Serverless 254

Serverless Infrastructure Innovation DevOps 254

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. By processing vast amounts of relevant data across domains and tiers and automatically finding relationships between systems and processes, AI becomes very good at answering even highly complex questions.

Artificial Intelligence 166

Artificial Intelligence DevOps Analytics Cloud 166

O'Reilly Software

OCTOBER 23, 2018

I should start by saying this section does not offer a treatise on how to do architecture. Vitruvius and the principles of architecture. Architecture begins when someone has a nontrivial problem to be solved. Everyone who goes to architecture school learns his work. It must be beautiful, like Venus, inspiring love.

Strategy 100

Strategy Architecture Technology Technology 100

O'Reilly

JUNE 14, 2024

Generative AI models are trained on large repositories of information and media. The processes that help inform the construction of these high-quality, ground-truth-verified, and citation-backed answers hold great hope for yielding a digital societal and economic engine to credit its sources and pay them simultaneously.

Open Source 70

Open Source Media Tuning Engineering 70

O'Reilly

NOVEMBER 21, 2019

This is precisely the kind of problem that robotic process automation (RPA) aims to address. She’s the vestigial human link in a process—insurance claims processing—that has a mostly automated workflow. Prior to RPA, enterprises used several different techniques to automate workflows and back-office processes.

Processing 84

Processing Programming Virtualization Technology 84

Dynatrace

OCTOBER 17, 2022

CloudOps includes processes such as incident management and event management. AIOps reduces the time needed to resolve an incident by automating key steps in the incident response process. The four stages of data processing. There are four stages of data processing: Collect raw data. Aggregate it for alerts.

DevOps 185

DevOps Artificial Intelligence Healthcare Innovation 185

Dynatrace

NOVEMBER 2, 2023

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. A McKinsey & Company FinOps study indicated that “enterprises often don’t develop at-scale FinOps capabilities until their spending on cloud architecture reaches $100 million per year.”

Cloud 184

Cloud Strategy Retail Energy 184

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” They require extensive training, and real-user must spend valuable time filtering any false positives. But what is AIOps, exactly?

Artificial Intelligence 201

Artificial Intelligence DevOps Innovation Metrics 201

Dynatrace

SEPTEMBER 5, 2023

Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. As a result, many IT teams have turned to cloud observability platforms to reduce blind spots in their cloud architecture, to resolve problems rapidly, and to deliver better customer experience. Dynatrace Grail.

Cloud 211

Cloud Artificial Intelligence Innovation Azure 211

ACM Sigarch

APRIL 8, 2019

Computer architecture is an important and exciting field of computer science, which enables many other fields (eg. big-data processing, machine learning, quantum computing, and so on). For those of us who pursued computer architecture as a career, this is well understood. Why is that? Should we be alarmed as a community?

Architecture 74

Architecture Open Source Hardware Software Engineering 74

Dynatrace

MAY 8, 2023

Consumers expect personalized, proactive, and convenient service, which traditional application architectures often struggle to provide. Digitizing internal processes can improve information flow and enhance collaboration among employees. Competitive advantage. Enhanced business operations. federal agency.

Strategy 166

Strategy Retail DevOps Education 166

Dynatrace

JANUARY 22, 2024

Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Data lakehouses play a pivotal role in facilitating causal AI by providing a versatile data management infrastructure for vast amounts of diverse data —a requirement for AI training models.

Artificial Intelligence 197

Artificial Intelligence Healthcare Retail Government 197

Dynatrace

SEPTEMBER 20, 2022

A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. Organizations should train DevOps teams to understand security best practices and how to operate any new tooling implementations. Release validation. Cultural issues.

Best Practices 251

Best Practices DevOps Education Serverless 251

High Scalability

JANUARY 11, 2022

Architecture. There are two major processes which gets executed when a user posts a photo on Instagram. The second process occurs asynchronously by persisting user activity in a columnar data-storage(Cassandra) and triggering the process to pre-compute the feed of followers of non-celebrity users (having few thousand followers).

Design 334

Design Media Storage Logistics 334

Dynatrace

JULY 6, 2022

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

Artificial Intelligence 178

Artificial Intelligence Tuning Strategy Big Data 178

Dynatrace

JULY 6, 2022

More than half of all respondents cited two key SRE adoption barriers: the perceived difficulty of training existing IT professionals in SRE best practices, and the cost and difficulty of finding skilled professionals. The following five key steps to success are essential for the journey to SRE maturity. Make SRE accessible.

Best Practices 177

Best Practices Open Source Tuning Infrastructure 177

Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Introducing Metrics on Grail Despite their many advantages, modern cloud-native architectures can result in scalability and fragmentation challenges. You no longer need to split, distribute, or pre-aggregate your data.

Analytics 218

Analytics Social Media Metrics Efficiency 218

Dynatrace

JUNE 8, 2021

At Dynatrace, our Autonomous Cloud Enablement (ACE) team are the coaches or teach and train our customers to always get the best out of Dynatrace and reach their objectives. Our expert Jean Louis Lormeau suggested a training program to help you become the champion in problem resolution. We can now move to the training phase.

Metrics 159

Metrics Tuning Programming Systems 159

The Netflix TechBlog

MAY 21, 2019

Partners across the globe leverage Netflix device certification process on a continual basis to ensure that quality products and experiences are delivered to their customers. The certification process involves the verification of partner’s implementation of features provided by the Netflix SDK. We also provide an API client in Python.

Testing 163

Testing AWS Lambda Network 163

The Netflix TechBlog

MARCH 4, 2024

In this way, no human intervention is required in the remediation process. The major services are as follows: Nightingale is a service running the ML model trained using Metaflow and is responsible for generating a retry recommendation. Multi-objective optimizations. the retry success probability) and compute cost efficiency (i.e.,

Tuning 210

Tuning Efficiency Big Data Engineering 210

Dynatrace

JUNE 15, 2021

The fact is, Reliability and Resiliency must be rooted in the architecture of a distributed system. The email walked through how our Dynatrace self-monitoring notified users of the outage but automatically remediated the problem thanks to our platform’s architecture. Fact #2: No significant impact on Dynatrace Users.

AWS 179

AWS Traffic Architecture Azure 179

Strategic Tech

MARCH 16, 2021

I believe that attitude towards the design of code and architecture is one of them. In my experience, the culture is better and the results are better in orgs where engineers and architects obsess over the design of code and architecture. Simon Brown taught me how to review architecture diagrams 10 years ago.

Software Engineering 80

Software Engineering Design Engineering Software 80

Dynatrace

MARCH 16, 2021

While some AIOps tools offer significant benefits over manual processes, not all of them can deliver the results organizations expect. Despite all the benefits of modern cloud architectures, 63% of CIOs surveyed said the complexity of these environments has surpassed human ability to manage. The challenge? Reduced IT spend.

Artificial Intelligence 183

Artificial Intelligence Open Source Cloud Analytics 183

The Netflix TechBlog

OCTOBER 18, 2019

It featured three relevant talks from LinkedIn, Netflix and Facebook, and a platform architecture overview talk from first time participant Dropbox. The key insight was that by assuming a latent Gaussian Process (GP) prior on the key business metric actions like viral engagement, job applications, etc.,

Infrastructure 126

Infrastructure Metrics Architecture Efficiency 126

Dynatrace

DECEMBER 10, 2020

During the recent pandemic, organizations that lack processes and systems to scale and adapt to remote workforces and increased online shopping are feeling the pressure even more. Rethinking the process means digital transformation.

Strategy 169

Strategy Performance Logistics Monitoring 169

Adrian Cockcroft

JANUARY 17, 2022

photo taken by Adrian Cockcroft A year ago I did a talk at re:Invent called Architecture Trends and Topics for 2021 , so I thought it was worth seeing how they played out and updating them for the coming year. I did a few talks on this subject early in the year, and linked this to the sustainability advantages of serverless architectures.

Serverless 98

Serverless Hardware AWS Architecture 98

Dynatrace

DECEMBER 2, 2021

As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets?

Metrics 180

Metrics Best Practices DevOps Infrastructure 180

Scalegrid

JANUARY 5, 2024

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. It provides tools for organizing and retrieving data efficiently.

Efficiency 147

Efficiency Storage Database Scalability 147

The Netflix TechBlog

AUGUST 24, 2022

The evaluation process may include trying to recognize the show from its box art, watching trailers, reading its synopsis or in some cases reading reviews for the show on some external website. This evaluation process incurs a cost that can be measured in units of time. If the discount factor ? =0, Therefore q with ? =

Metrics 178

Metrics Systems Architecture Processing 178

Dynatrace

APRIL 5, 2021

It automatically manages all the computing resources those processes require. Azure is a large and growing cloud computing ecosystem that empowers its users to access databases, launch virtual servers, create websites or mobile applications, run a Kubernetes cluster, and train machine learning models, to name a few examples.

Azure 135

Azure Serverless IoT Lambda 135

The Netflix TechBlog

OCTOBER 18, 2019

It featured three relevant talks from LinkedIn, Netflix and Facebook, and a platform architecture overview talk from first time participant Dropbox. The key insight was that by assuming a latent Gaussian Process (GP) prior on the key business metric actions like viral engagement, job applications, etc.,

Infrastructure 100

Infrastructure Metrics Architecture Efficiency 100

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. Get ready for actionable insights that balance technical depth with practical advice.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130