The Netflix TechBlog

MARCH 5, 2019

This freedom allows teams and individuals to move fast to deliver on innovation and feel responsible for quality and robustness of their delivery. All these micro-services are currently operated in AWS cloud infrastructure. In the next section, we will highlight some high level areas of focus in each dimension of our infrastructure.

Infrastructure 184

Infrastructure Cloud Scalability AWS 184

Dynatrace

SEPTEMBER 3, 2024

Each of these factors can present unique challenges individually or in combination. But gaining observability of distributed environments, such as Kubernetes, microservices, and containerized application deployments, presents formidable challenges.

Infrastructure 290

Infrastructure Innovation Monitoring Software Performance 290

Dynatrace

JULY 11, 2024

The journey toward business observability Traditional IT monitoring that relies on a multitude of tools to collect, index, and correlate logs from IT infrastructure, networks, applications, and security systems is no longer effective at supporting the need of the wider organization for business insights. Agility and innovation.

Monitoring 264

Monitoring Retail Energy Cloud 264

Dynatrace

JANUARY 11, 2023

With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 295

Cloud Monitoring Best Practices Infrastructure 295

Dynatrace

JULY 8, 2024

Leverage the power of the Dynatrace platform for your SNMP devices The Dynatrace approach makes your discovered network devices available in the Dynatrace platform, allowing you to build innovative functionality and reduce tool sprawl. If devices with matching SNMP credentials are present, they will be added to the environment.

Network 279

Network Monitoring Hardware Infrastructure 279

Dynatrace

NOVEMBER 17, 2020

A huge part of our industry and analyst recognition is due to our partner community which takes the Dynatrace platform to market around the world, driving innovation, and delivering unique solutions and services that solve real-world challenges that customers face. EMEA Cloud Innovation Award. Cloud Innovation Award – two winners.

Entertainment 244

Entertainment Innovation Virtualization Cloud 244

Dynatrace

DECEMBER 24, 2020

An approach based on observability , automation, and AI, on the other hand, enables you to know precisely what is happening within your environment based on contextualized insights derived from billions of interdependencies among apps, services, and infrastructure. Myth 1 – Enterprise-scale observability is too difficult to accomplish.

DevOps 279

DevOps Cloud Infrastructure Monitoring 279

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. ” But, he continues, ” Today’s environments present a completely different picture. Free IT teams to focus on and support product innovation.

Analytics 223

Analytics Innovation Infrastructure Scalability 223

Dynatrace

JULY 25, 2022

These methods improve the software development lifecycle (SDLC), but what if infrastructure deployment and management could also benefit? Development teams use GitOps to specify their infrastructure requirements in code. Known as infrastructure as code (IaC), it can build out infrastructure automatically to scale.

DevOps 278

DevOps Infrastructure Speed Cloud 278

The Netflix TechBlog

FEBRUARY 13, 2023

Our goal in building a media-focused ML infrastructure is to reduce the time from ideation to productization for our media ML practitioners. We will then present a case study of using these components in order to optimize, scale, and solidify an existing pipeline.

Media 293

Media Storage Infrastructure Systems 293

Dynatrace

FEBRUARY 12, 2024

The various presenters in this session aligned platform engineering use cases with the software development lifecycle. Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability.

Engineering 246

Engineering Development Infrastructure Cloud 246

Dynatrace

FEBRUARY 26, 2024

This presentation showcased the Dynatrace Platform capabilities, leveraging contextual analytics and AI to automate problem solving across observability, security, and business functions. Building apps and innovations.

Artificial Intelligence 246

Artificial Intelligence IoT Programming Innovation 246

Dynatrace

APRIL 15, 2022

As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. Development teams can innovate faster with higher quality. Dynatrace news.

Cloud 245

Cloud Infrastructure Innovation Monitoring 245

Dynatrace

MAY 15, 2020

Overcoming the barriers presented by legacy security practices that are typically manually intensive and slow, requires a DevSecOps mindset where security is architected and planned from project conception and automated for speed and scale throughout where possible. And this poses a significant risk.

Government 278

Government DevOps Infrastructure Network 278

Dynatrace

MAY 17, 2022

To solve this problem , Dynatrace offers a fully automated approach to infrastructure and application observability including Kubernetes control plane, deployments, pods, nodes, and a wide array of cloud-native technologies. None of this complexity is exposed to application and infrastructure teams. A look to the future.

Availability 348

Availability Scalability Cloud Metrics 348

Dynatrace

MAY 2, 2024

At this year’s RSA conference, taking place in San Francisco from May 6-9, presenters will explore ideas such as redefining security in the age of AI. Tech Transforms podcast: It’s time to get familiar with generative AI – blog Generative AI can unlock boundless innovation. ’ and ‘How compliant are we?

Artificial Intelligence 264

Artificial Intelligence Cloud Best Practices DevOps 264

Dynatrace

MAY 8, 2023

However, while open ecosystems offer benefits such as increased flexibility, faster development, and improved collaboration, they also present new observability challenges. It enables organizations to benefit from collective innovation for common tasks so they can concentrate on building their own IP.

Open Source 246

Open Source Strategy Lambda Metrics 246

Dynatrace

NOVEMBER 6, 2023

Dynatrace recently announced the availability of its latest core innovations for customers running the Dynatrace® platform on Microsoft Azure, including Grail. Transforming business with Azure data analytics In the evolution towards digital and cloud-native solutions, the ability to efficiently manage vast amounts of data is imperative.

Azure 245

Azure Analytics Artificial Intelligence Innovation 245

Dynatrace

NOVEMBER 11, 2021

Increasingly, organizations see IT modernization as their on-ramp to product innovation and cost reduction. As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. Dynatrace news. AWS re:Invent 2021: Modernizing for cloud-native environments.

AWS 246

AWS Cloud Lambda Serverless 246

The Netflix TechBlog

AUGUST 10, 2020

Since then, we have applied innovations such as shot-based encoding and newer codecs to deploy more efficient encode families. Performance results In this section, we present an overview of the performance of our new encodes compared to our existing H.264 Yet, given its wide support, our H.264/AVC

Innovation 241

Innovation Traffic Network Efficiency 241

Dynatrace

NOVEMBER 24, 2022

As enterprises look to speed innovation, minimize risk, and modernize the way they work in the cloud, there’s a huge opportunity to redefine how IT is architected, deployed, and operated. This series of challenges present an opportunity for advancement. To learn more about our Services Endorsement Program, check out the webpage.

Innovation 237

Innovation Virtualization Programming Cloud 237

Dynatrace

JANUARY 31, 2024

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. Enterprises that fail to adapt to these innovations face extinction. Estimates show that NVIDIA, a semiconductor manufacturer, could release 1.5

Cache 276

Cache Azure Infrastructure Monitoring 276

Dynatrace

MARCH 2, 2023

Following are five concepts Hightower shared with Grabner to talk about the challenges that come with ever-advancing technologies and infrastructures. The SRE kept watch throughout the night, counted the villagers, and ensured that the same number of villagers were present in the morning. Sound familiar?

Best Practices 246

Best Practices Internet Internet Cloud 246

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. Dynatrace news. What is site reliability engineering? SRE drives a “shift left” mindset.

Engineering 264

Engineering DevOps Government Latency 264

Dynatrace

NOVEMBER 2, 2023

Unified observability is the ability to know how systems and infrastructure are performing based on the data they generate, such as logs, metrics, and traces. In modern cloud environments, every piece of hardware, software, cloud infrastructure component, container, open-source tool, and microservice generates records of every activity.

Cloud 264

Cloud Infrastructure Strategy Open Source 264

Dynatrace

DECEMBER 2, 2020

In its report “ Innovation Insight for Observability ,” global research and advisory firm Gartner describes the advantages of observability for cloud monitoring as organizations navigate this shift. The sheer volume of a modern enterprise’s data presents a challenge to those tasked with monitoring it, says Gartner.

DevOps 231

DevOps Monitoring Cloud Artificial Intelligence 231

Dynatrace

JULY 6, 2022

With ever-evolving infrastructure, services, and business objectives, IT teams can’t keep up with routine tasks that require human intervention. Automating IT practices without integrated AIOps presents several challenges. This enables IT admins to spend more time on innovation, rather than constantly fighting fires.

Artificial Intelligence 246

Artificial Intelligence Tuning Strategy Big Data 246

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. Synthetic monitors can be created with our innovative web recorder or through MONACO , our Monitoring-As-Code approach.

Monitoring 246

Monitoring Software Software DevOps 246

Dynatrace

FEBRUARY 4, 2025

This limitation highlights the importance of continuous innovation and adaptation in IT operations and AIOps strategies. With the latest release, we drive this further by improving the automatic connection of relevant log and trace data for further drill down, presenting the full context of an issue in a single view.

Retail 130

Retail Metrics Engineering Efficiency 130

Dynatrace

MAY 8, 2023

However, digital transformation requires significant investment in technology infrastructure and processes. With Dynatrace Application Security , VA was able to immediately detect whether the vulnerability was present in any of its systems. Enable teams with ongoing education so they get the most out of Dynatrace capabilities.

Strategy 244

Strategy Retail DevOps Traffic 244

Dynatrace

AUGUST 21, 2024

This approach enhances key DORA metrics and enables early detection of failures in the release process, allowing SREs more time for innovation. While it is powerful, it presents several challenges that affect its adoption. This blog post explores the Reliability metric , which measures modern operational practices. Why reliability?

Engineering 262

Engineering Systems Latency Metrics 262

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. Dynatrace news. A major goal of SRE is to reduce duplication or redundancy of effort as much as possible.

Engineering 245

Engineering DevOps Government Latency 245

Dynatrace

AUGUST 10, 2021

Because here is a group of people who thrive on discovering new things, transforming workplaces, and innovating in the true sense of the word, every single day. Breakout Sessions on Scaling DevOps and SRE, Simplifying Kubernetes, Accelerating Cloud Native Innovation, and Delivering Perfect Experiences with Full Stack Observability.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

MAY 27, 2022

This automatic analysis enables engineers to spend more time innovating and improving business operations. Each piece of the AIOps triumvirate plays a crucial role in the automation process to speed innovation. They can also see the affected infrastructure component and walk through the sequence of events.

Artificial Intelligence 246

Artificial Intelligence Innovation Servers Database 246

Dynatrace

JULY 25, 2022

Dynatrace uses your data and its sophisticated AI causation engine Davis® to automatically detect performance anomalies in applications, services, and infrastructure. A feature that enables you to present log data in a filterable table that is easy to work with. The Dynatrace problem-detection-and-analysis advantage. Log Viewer.

AWS 246

AWS Transportation Network Traffic 246

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. AIOps is often presented as a way to reduce the noise of countless alerts, but it can and should be more than that. Two approaches to AIOps.

Artificial Intelligence 246

Artificial Intelligence DevOps Innovation Metrics 246

The Netflix TechBlog

JANUARY 10, 2024

We rolled out encoding innovations such as per-title and per-shot optimizations, which provided significant quality-of-experience (QoE) improvement to Netflix members. It served as the foundation for numerous encoding innovations developed by our team. This introductory blog focuses on an overview of our journey.

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Processing Media Latency Innovation 233