Dynatrace

JUNE 6, 2023

Kubernetes enables efficient resource utilization by easily scaling applications and services based on demand. Networking. Large-scale, multicloud deployments can introduce challenges related to network visibility and interoperability. Therefore, they are built to be non-persistent by design. Automated scaling.

Open Source 193

Open Source Storage Analytics Innovation 193

The Netflix TechBlog

NOVEMBER 9, 2021

by Liwei Guo , Ashwin Kumar Gopi Valliammal , Raymond Tam , Chris Pham , Agata Opalach , Weibo Ni AV1 is the first high-efficiency video codec format with a royalty-free license from Alliance of Open Media (AOMedia), made possible by wide-ranging industry commitment of expertise and resources.

Media 246

Media Open Source Efficiency Software Engineering 246

Dynatrace

JUNE 28, 2019

As a full stack monitoring platform, Dynatrace collects a huge number of metrics for each OneAgent monitored host in your environment. Depending on the types of technologies you’re running on your individual hosts, the average number of metrics is about 500 per computational node. Our API-first design promotes automation.

Metrics 102

Metrics Efficiency Monitoring Azure 102

Dynatrace

JUNE 7, 2023

IT teams can’t see into the internal state of Kubernetes containers , so they often collect a wide variety of telemetry data — such as logs, metrics, and distributed traces — to compensate for this lack of visibility. Like Kubernetes, it allocates resources efficiently and ensures high availability and fault tolerance.

Open Source 207

Open Source Social Media Infrastructure Operating System 207

Dynatrace

APRIL 21, 2022

Most monitoring tools for migrations, development, and operations focus on collecting and aggregating the three pillars of observability— metrics, traces, and logs. The Azure Well-Architected Framework is a set of guiding tenets organizations can use to evaluate architecture and implement designs that will scale over time. Reliability.

Azure 188

Azure Monitoring Virtualization Metrics 188

Dynatrace

SEPTEMBER 22, 2022

Automating tasks throughout the SDLC helps software development and operations teams collaborate while continuously improving how they design, build, test, deploy, release, and monitor software applications. It helps to assess the long- and short-term efficiency and speed of DevOps. Automated network provisioning.

DevOps 188

DevOps Innovation Speed Monitoring 188

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings.

Monitoring 204

Monitoring Social Media IoT Metrics 204

Dynatrace

DECEMBER 15, 2022

ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 203

Artificial Intelligence DevOps Hardware Virtualization 203

Scalegrid

MARCH 14, 2024

In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently. Tailoring resource allocation efficiently ensures faster application performance in alignment with organizational demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

JANUARY 11, 2024

Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

The Netflix TechBlog

JANUARY 11, 2022

To directly support great decision-making throughout the company, there are a number of data science teams at Netflix that partner directly with Product Managers, engineering teams, and other business units to design, execute, and learn from experiments. Combined, these two effects reduce the risk of Type-S and Type-M errors.

Innovation 243

Innovation Metrics Engineering Testing 243

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. Automatic collection of the entire set of services that publish metrics to Amazon CloudWatch.

AWS 144

AWS Artificial Intelligence Best Practices Lambda 144

The Netflix TechBlog

NOVEMBER 14, 2023

Many metrics in Netflix’s financial reports are powered and reconciled with efforts from our team! In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! Given our role on this critical path, accuracy is paramount. Let’s dive in!

Data Engineering 264

Data Engineering Engineering Processing Games 264

Scalegrid

MARCH 22, 2024

Choosing the Right Cloud Services Choosing the right cloud services is crucial in developing an efficient multi cloud strategy. Adopting spot instances for less critical tasks, which are less expensive than on-demand or reserved instances, is an efficient way of managing expenses.

Strategy 130

Strategy Cloud Government Innovation 130

The Netflix TechBlog

NOVEMBER 29, 2023

Details pertaining to HDR-VMAF exceed the scope of this article and will be covered in a future blog post; for now, suffice it to say that the first version of HDR-VMAF landed internally in 2021 and we have been improving the metric ever since. The arrival of HDR-VMAF allowed us to create HDR streams with DO applied, i.e., HDR-DO encodes.

Open Source 252

Open Source Software Engineering Internet Internet 252

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. Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. are you logged in?

Open Source 279

Open Source Network Infrastructure Big Data 279

The Morning Paper

JUNE 25, 2019

Designing far memory data structures: think outside the box Aguilera et al., There’s another emerging option that we didn’t talk about there: the use of far-memory , memory attached to the network that can be remotely accessed without mediation by a local processor. HotOS’19. Can I get a helping hand here? A worked example.

Design 80

Design Cache Hardware Scalability 80

Dynatrace

NOVEMBER 15, 2021

There is nothing worse than your well-designed digital touchpoint simply falling offline. Because of everything that can go wrong, it’s imperative for organizations to constantly track metrics that indicate user satisfaction and have a robust complaint resolution model in place. What ruins a digital experience? Break down silos.

Mobile 218

Mobile Social Media Monitoring Metrics 218

The Netflix TechBlog

SEPTEMBER 8, 2020

To prepare ourselves for a big change in the tech stack of our endpoint, we decided to track metrics around the time taken to respond to queries. After some consultation with our backend teams, we determined the most effective way to group these metrics were by UI screen. This meant that data that was static (e.g.

Latency 233

Latency Cache Java Traffic 233

The Netflix TechBlog

DECEMBER 11, 2020

This gives us access to Netflix’s Java ecosystem, while also giving us the robust language features such as coroutines for efficient parallel fetches, and an expressive type system with null safety. The schema registry also integrates with our CI/CD systems like Spinnaker to automatically setup cloud networking for DGSs.

Architecture 249

Architecture Best Practices Engineering Open Source 249

The Morning Paper

SEPTEMBER 22, 2019

The secret sharer: evaluating and testing unintended memorization in neural networks Carlini et al., In evaluating our exposure metric, we find unintended memorization to be both commonplace and hard to prevent. Can we efficiently extract secrets from pre-trained models? USENIX Security Symposium 2019.

Network 55

Network Testing Strategy Google 55

Dynatrace

SEPTEMBER 23, 2021

To function effectively, containers need to be able to communicate with each other and with network services. If containers are run with privileged flags, or if they receive details about host processes, they can easily become points of compromise for corporate networks. Network scanners. Let’s look at each type.

Open Source 251

Open Source Benchmarking Best Practices Network 251

CSS Wizardry

NOVEMBER 3, 2020

So many false starts, tedious workflows, and a complete lack of efficiency really made it difficult for me to find momentum. Any time you run a test with WebPageTest, you’ll get this table of different milestones and metrics. Higher variance means a less stable metric across pages. Visualising the Data.

Speed 292

Speed Ecommerce Metrics Analytics 292

Dynatrace

MARCH 10, 2021

The designation reflects AWS’ recognition that Dynatrace has demonstrated deep experience and proven customer success building AI-powered solutions on AWS. They collect metrics and raise alerts, but they provide few answers as to what went wrong in the first place. Dynatrace news.

AWS 144

AWS Cloud Artificial Intelligence Innovation 144

Dynatrace

MAY 31, 2021

It automates complex tasks during the container’s life cycle, such as provisioning, deployment, networking, scaling, load balancing, and more. This virtualization makes it possible to efficiently deploy and securely run a container independently of the hosting infrastructure. Who manages the networking aspects?

Virtualization 133

Virtualization DevOps Infrastructure Cloud 133

Percona

FEBRUARY 24, 2023

Identifying which resources you can trim to reduce your monthly bill can be difficult, but looking at the right metrics will help you understand the application’s actual requirements. Configuration of the CPU metrics can be changed in the dashboard. Don’t pay for capacity you don’t use or need.

Cloud 114

Cloud Serverless AWS Storage 114

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? Where does Lambda fit in the AWS ecosystem?

Lambda 180

Lambda AWS Serverless Hardware 180

Dynatrace

NOVEMBER 29, 2021

Since its inception in 2013, Docker has become the de facto standard for developers due to its ability to make more efficient use of system resources, ship software faster, and minimize security issues. Key metrics for OpenShift monitoring. The Kubernetes control plane metrics give insight into the performance of Kubernetes itself.

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

The Netflix TechBlog

JANUARY 24, 2022

Technically, “performance” metrics are those relating to the responsiveness or latency of the app, including start up time. At Netflix the term “performance” usually encompasses both performance metrics (in the strict meaning) and memory metrics, and that’s how we’re using the term here. What do we mean by Performance?

Performance 199

Performance Metrics Performance Testing Testing 199

The Netflix TechBlog

MAY 21, 2019

The device ecosystem is rich with partners ranging from Silicon-on-Chip (SoC) manufacturers, Original Design Manufacturer (ODM) and Original Equipment Manufacturer (OEM) vendors. Solving the above problems could help Netflix and our Partners save time and money during the entire lifecycle of device design, build, test, and certification.

Testing 163

Testing AWS Lambda Network 163

Smashing Magazine

AUGUST 3, 2023

These pages serve as a pivotal tool in our digital marketing strategy, not only providing valuable information about our services but also designed to be easily discoverable through search engines. Google’s Core Web Vitals is a set of performance metrics that site owners can use to evaluate performance and diagnose performance issues.

Performance 75

Performance Cache Traffic Metrics 75

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices. Storage: don’t break the bank!

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

JUNE 1, 2020

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 your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring. Continuous Automation.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

The Netflix TechBlog

FEBRUARY 13, 2023

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. Training Performance Media model training poses multiple system challenges in storage, network, and GPUs. We accomplish this by paving the path to: Accessing and processing media data (e.g.

Media 290

Media Storage Infrastructure Systems 290

The Netflix TechBlog

DECEMBER 23, 2020

This abstraction allows the compute team to influence the reliability, efficiency, and operability of the fleet via the scheduler. We do this for reliability, scalability, and efficiency reasons. In addition to the default Docker namespaces (mount, network, UTS, IPC, and PID), we employ user namespaces for added layers of isolation.

Media 286

Media Metrics Systems Processing 286

Dynatrace

JUNE 1, 2020

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 your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Dynatrace news. What does APM stand for? Performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148