The Netflix TechBlog

DECEMBER 17, 2024

This led to a suite of fragmented scripts, runbooks, and ad hoc solutions scattered across teamsan approach that was neither sustainable nor efficient. Stay tuned for a closer look at the innovation behind thescenes! The stakes are even higher when ensuring every title launches flawlessly.

Traffic 172

Traffic Scalability Strategy Monitoring 172

Dynatrace

FEBRUARY 16, 2023

Learn more about the announcements at Perform 2023 in the Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI. The post Data lakehouse innovations advance the three pillars of observability for more collaborative analytics appeared first on Dynatrace news.

Analytics 246

Analytics Innovation Metrics Database 246

The Netflix TechBlog

JUNE 30, 2020

In an effort to effectively and efficiently produce this content we are looking to improve and automate many areas of the production process. We combine our entertainment knowledge and our technical expertise to provide innovative technical solutions from the initial pitch of an idea to the moment our members hit play.

Engineering 242

Engineering Entertainment Logistics Innovation 242

Dynatrace

JANUARY 26, 2021

This includes custom, built-in-house apps designed for a single, specific purpose, API-driven connections that bridge the gap between legacy systems and new services, and innovative apps that leverage open-source code to streamline processes. Application security has historically been addressed after development is completed.

DevOps 306

DevOps Best Practices Open Source Tuning 306

Dynatrace

JULY 30, 2024

Having end-to-end visibility across the entire IT environment and validating our findings with customers and partners, we identified four key pain points DORA surfaces and how we think Dynatrace helps turn them into opportunities to innovate while increasing security, resiliency, and efficiency.

Government 227

Government Innovation Analytics Open Source 227

The Netflix TechBlog

AUGUST 10, 2020

and thus fall back to less efficient encode families. Since then, we have applied innovations such as shot-based encoding and newer codecs to deploy more efficient encode families. Since then, we have applied innovations such as shot-based encoding and newer codecs to deploy more efficient encode families.

Innovation 242

Innovation Traffic Network Efficiency 242

Dynatrace

JULY 6, 2022

Ultimately, IT automation can deliver consistency, efficiency, and better business outcomes for modern enterprises. Expect to spend time fine-tuning automation scripts as you find the right balance between automated and manual processing. IT automation tools can achieve enterprise-wide efficiency. Read eBook now!

Artificial Intelligence 246

Artificial Intelligence Tuning Strategy Big Data 246

Dynatrace

JANUARY 30, 2024

These are some of the questions that Willie Hicks, Dynatrace’s Federal CTO, and I unpacked with Patrick Johnson, director of the Workforce Innovation Directorate in the Department of Defense’s (DoD) Office of the CIO. You don’t really gain the efficiencies or the objectives that you need to be [gaining].” Download now!

Artificial Intelligence 246

Artificial Intelligence Government Innovation Programming 246

The Netflix TechBlog

SEPTEMBER 18, 2024

In this post, we dive deep into how Netflix’s KV abstraction works, the architectural principles guiding its design, the challenges we faced in scaling diverse use cases, and the technical innovations that have allowed us to achieve the performance and reliability required by Netflix’s global operations.

Latency 260

Latency Storage Cache Servers 260

Dynatrace

APRIL 21, 2023

State and local agencies must spend taxpayer dollars efficiently while building a culture that supports innovation and productivity. APM helps ensure that citizens experience strong application reliability and performance efficiency. million annually through retiring legacy technology debt and tool rationalization.

Government 239

Government Infrastructure Innovation Monitoring 239

Dynatrace

JULY 11, 2024

By following these best practices, you can ensure efficient and safe data management, allowing you to focus on extracting value from Dynatrace while maintaining smooth and compliant business operations. Check our Privacy Rights documentation to stay tuned to our continuous improvements. Get started New to Dynatrace?

Storage 264

Storage Government Best Practices Media 264

Dynatrace

NOVEMBER 15, 2021

Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. Log analysis can reveal potential bottlenecks and inefficient configurations so teams can fine-tune system performance. Accelerated innovation. Together, they provide continuous value to the business.

Analytics 264

Analytics Monitoring Artificial Intelligence DevOps 264

Dynatrace

NOVEMBER 24, 2020

Allowing architectures to be nimble and evolve over time, allowing organizations to take advantage of innovations as a standard practice. Stay tuned. AWS 5-pillars. Well-Architected Framework design principles include: Using data to inform architectur al choices and improvements over time. Fully conceptualizing capacity requirements.

AWS 221

AWS Artificial Intelligence Best Practices Lambda 221

Dynatrace

FEBRUARY 8, 2021

Putting logs into context with metrics, traces, and the broader application topology enables and improves how companies manage their cloud architectures, platforms and infrastructure, optimizing applications and remediate incidents in a highly efficient way. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 264

Cloud Azure Analytics Open Source 264

The Netflix TechBlog

OCTOBER 8, 2024

Building on these foundational abstractions, we developed the TimeSeries Abstraction  — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. Let’s dive into the various aspects of this abstraction.

Latency 239

Latency Storage Traffic Tuning 239

The Netflix TechBlog

JANUARY 10, 2024

Moving away from the use of dedicated instances that were constrained in quantity, we tapped into Netflix’s internal trough created due to autoscaling microservices, leading to significant improvements in computation elasticity as well as resource utilization efficiency. This introductory blog focuses on an overview of our journey.

Processing 238

Processing Media Latency Innovation 238

The Netflix TechBlog

NOVEMBER 14, 2023

This approach ensures data processing is both efficient and accurate. As we continue to innovate, Netflix’s data platform team is focused on creating a comprehensive solution for incremental processing use cases. Stay tuned for a new post on this!

Processing 252

Processing Tuning C++ Efficiency 252

Dynatrace

MAY 17, 2022

This solution offers both maximum efficiency and adherence for the toughest privacy or compliance demands. Cloud Native Full Stack injection provides a rock-solid foundation for us to plan the next set of Dynatrace innovations. Stay tuned for more awesome Dynatrace Kubernetes announcements throughout the year.

Availability 348

Availability Scalability Cloud Metrics 348

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. But first, some background. Why containers? Watch webinar now!

Open Source 334

Open Source DevOps Traffic Cloud 334

Dynatrace

JULY 30, 2024

Having end-to-end visibility across the entire IT environment and validating our findings with customers and partners, we identified four key pain points DORA surfaces and how we think Dynatrace helps turn them into opportunities to innovate while increasing security, resiliency, and efficiency.

Government 147

Government Innovation Analytics Open Source 147

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 242

Cloud Media Storage Cache 242

Dynatrace

JANUARY 19, 2021

Serverless can accelerate innovation (and introduce blind spots). Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. stay tuned?for A single pane of glass to view trace information along with AWS CloudWatch metrics.

Lambda 264

Lambda Serverless AWS Mobile 264

The Netflix TechBlog

MARCH 7, 2019

To unlock these innovations we are making a strategic choice that our focus should be geared towards developing the surrounding infrastructure so that scientists’ work can be easily absorbed into the wider Netflix Experimentation Platform. B) Efficient use of memory We should optimize for sparse linear algebra.

Design 175

Design Engineering Innovation Java 175

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 225

Infrastructure Big Data Transportation Architecture 225

Dynatrace

DECEMBER 8, 2020

In our increasingly digital world, the speed of innovation is key to business success. Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation. One single platform drives efficient DevSecOps collaboration and automated vulnerability management. Stay tuned – this is only the start.

Cloud 306

Cloud Open Source Internet Internet 306

The Netflix TechBlog

APRIL 29, 2019

Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid. We are proud to say that our team’s tools are built primarily in Python.

Open Source 280

Open Source Network Infrastructure Big Data 280

Dynatrace

MAY 15, 2020

But outdated security practices pose a significant barrier even to the most efficient DevOps initiatives. In the future you will see even more innovation from Dynatrace in this space so please stay tuned. Modern DevOps permits high velocity development cycles resulting in weekly, daily, or even hourly software releases.

Government 278

Government DevOps Infrastructure Network 278

The Netflix TechBlog

NOVEMBER 2, 2021

As VMAF evolves and is integrated with more encoding and streaming workflows within Netflix, we need scalable ways of fostering video quality innovations. This article explains how we designed microservices and workflows on top of the Cosmos platform to bolster such video quality innovations. via bug fixes).

Media 178

Media Innovation Metrics Latency 178

Brendan Gregg

DECEMBER 31, 2017

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. We help where we can. Check them out. html [Introducing Nitro]: [link]

Tuning 53

Tuning AWS Best Practices Network 53

Brendan Gregg

DECEMBER 30, 2017

My last talk for 2017 was at AWS re:Invent, on "How Netflix Tunes EC2 Instances for Performance," an updated version of my [2014] talk. Our team looks after the BaseAMI, kernel tuning, OS performance tools and profilers, and self-service tools like Vector. We help where we can. Check them out. html [Introducing Nitro]: [link]

Tuning 52

Tuning AWS Best Practices Network 52

Dynatrace

AUGUST 29, 2019

Once we can build high-quality software, faster, and more often, the Fully Automated Delivery Pipeline is there to ensure we can get that functionality to our users in an efficient and safe way. Where to next?

Cloud 188

Cloud DevOps Strategy Performance Testing 188

Dynatrace

MAY 27, 2021

In this article, I take a deeper look into continuous delivery (CD), and describe how this phase of the process is the key to achieving greater efficiency in your software development life cycle. This rapid feedback enables developers to stay focused on innovation instead of managing infrastructure. Testing quality improves.

Best Practices 147

Best Practices DevOps Open Source Cloud 147

Percona

DECEMBER 27, 2023

Consequently, they might miss out on the benefits of integrating security into the SDLC, such as enhanced efficiency, speed, and quality in software delivery. Customers will increasingly prioritize AI efficiency and education to tackle legal and ethical concerns. It’s worry-free and doesn’t require human intervention.

Cloud 109

Cloud Open Source Strategy Best Practices 109

Scalegrid

MARCH 22, 2024

Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. Yet it reveals a migration trajectory favoring multi-cloud models as companies wake up to advantages such as heightened innovation potential tied with these varied service structures.

Strategy 130

Strategy Cloud Government Innovation 130

All Things Distributed

MARCH 19, 2018

By designing algorithms that operate efficiently on different types of hardware, our algorithms gain record speeds and efficiency. Post-training model tuning and rich states. Processing massively scalable datasets in a streaming manner poses a challenge for model tuning, also known as hyperparameter optimization (HPO).

Scalability 129

Scalability Hardware AWS Tuning 129

All Things Distributed

NOVEMBER 28, 2012

Amazon Redshift uses a variety of innovations to enable customers to rapidly analyze datasets ranging in size from several hundred gigabytes to a petabyte and more. Also, because similar data are stored sequentially, Amazon Redshift can compress data efficiently, which further reduces the amount of IO it needs to perform to return results.

Cloud 152

Cloud Storage Architecture Scalability 152

SQL Performance

JANUARY 23, 2020

Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waits and Queues has been used as a SQL Server performance tuning methodology since Tom Davidson published the above article as well as the well-known SQL Server 2005 Waits and Queues whitepaper in 2006. The Top Queries That Weren't.

Tuning 115

Tuning Servers Monitoring Hardware 115