The Netflix TechBlog

NOVEMBER 17, 2022

While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency. In our preference-based visual tests, we found that the deep downscaler was preferred by ~77% of test subjects, across a wide range of encoding recipes and upscaling algorithms.

Network 300

Network Media Innovation Efficiency 300

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. Monitoring SLOs and testing them in pre-production with intelligent quality gates to detect issues earlier in the development cycle.

Engineering 264

Engineering DevOps Government Latency 264

Dynatrace

JUNE 1, 2023

Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency typically refers to the time it takes for a single request to travel from its source to its destination. Latency primarily focuses on the time spent in transit.

Latency 245

Latency Website Traffic DevOps 245

Scalegrid

JUNE 22, 2020

Compare Latency. On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations. In this benchmark, we measure MySQL throughput in terms of queries per second (QPS) to measure our query efficiency. Read-Intensive Latency Benchmark. Balanced Workload Latency Benchmark.

Database 217

Database Benchmarking Latency Performance 217

VoltDB

DECEMBER 11, 2024

By bringing computation closer to the data source, edge-based deployments reduce latency, enhance real-time capabilities, and optimize network bandwidth. As data streams grow in complexity, processing efficiency can decline. Increased latency during peak loads. Balancing efficiency with carbon footprint reduction goals.

IoT 52

IoT Energy Logistics Latency 52

Dynatrace

FEBRUARY 4, 2021

As a discipline, SRE focuses on improving software system reliability across key categories including availability, performance, latency, efficiency, capacity, and incident response. Monitoring SLOs and testing them in pre-production with intelligent quality gates to detect issues earlier in the development cycle.

Engineering 245

Engineering DevOps Government Latency 245

The Netflix TechBlog

JUNE 13, 2023

Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. Compared to replay testing, canaries allow us to extend the validation scope beyond the service level.

Traffic 285

Traffic Metrics Systems Strategy 285

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. They can accomplish this all while delivering transformation efficiency and economies of scale for IT functions that maintain risk management infrastructure.

Analytics 246

Analytics Infrastructure Efficiency Technology 246

The Netflix TechBlog

MARCH 1, 2021

It supports both high throughput services that consume hundreds of thousands of CPUs at a time, and latency-sensitive workloads where humans are waiting for the results of a computation. Local development tools including specialized test runners, code generators, and a command line interface. Productivity?—?Local Delivery?—?A

Serverless 235

Serverless Media Latency Social Media 235

The Netflix TechBlog

SEPTEMBER 8, 2020

Migration Testing Infrastructure Our monolith had been around for many years and hadn’t been created with functional and unit testing in mind, so those were independently bolted on by each UI team. For the migration, testing was a first-class citizen. Replay Testing Enter replay testing.

Latency 241

Latency Cache Java Traffic 241

Dynatrace

MAY 5, 2021

Keptn closes the loop of planning, testing, deployment, and analysis in Agile-like environments with the help of quality gates defined by service- and business-level indicators. For example, improving latency by as little as 0.1 latency is the number one reason consumers abandon mobile sites. Meanwhile, in the U.S.,

Benchmarking 246

Benchmarking Latency Speed Software 246

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. Telltale provides Edgar with latency benchmarks that indicate if the individual trace’s latency is abnormal for this given service. What is Edgar?

Latency 298

Latency Transportation Engineering Traffic 298

Dynatrace

AUGUST 27, 2024

Dynatrace Security Analytics can also improve the effectiveness and efficiency of threat hunts. Continuous digital operational resilience testing Before any deployment or software release, Dynatrace can automate change impact analysis required for DORA’s digital operational resilience testing requirement with Site Reliability Guardian.

Best Practices 290

Best Practices Government DevOps Analytics 290

The Netflix TechBlog

JUNE 4, 2019

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. CFS is widely used and therefore well tested and Linux machines around the world run with reasonable performance.

Cache 258

Cache Latency Airlines Logistics 258

Dynatrace

OCTOBER 4, 2021

API monitoring captures and analyzes metrics that describe the vital aspects of an application’s performance, which can help developers gain a deeper understanding of the health and efficiency of the APIs they’re utilizing. API testing complements monitoring. This is done through testing.

Monitoring 245

Monitoring Latency Metrics Availability 245

Dynatrace

JANUARY 31, 2024

Model observability provides visibility into resource consumption and operation costs, aiding in optimization and ensuring the most efficient use of available resources. For model explainability, they can implement custom regression tests, providing indicators of model reputation and behavior over time.

Cache 276

Cache Azure Infrastructure Monitoring 276

Dynatrace

JANUARY 13, 2022

Whereas RUM can capture all the nuances of your real users, providing a true picture into their experience, synthetic monitoring is great for proactive simulation and testing of the expected user experience. Analyzing a clinician’s clickstream when using an electronic medical record system to better improve the efficiency of data entry.

Monitoring 245

Monitoring Mobile Latency Best Practices 245

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. This testing stage took about two weeks.

Processing 238

Processing Media Latency Innovation 238

Dynatrace

FEBRUARY 24, 2021

Encouraging a shift-left approach , testing earlier in the development lifecycle. Reduced latency. Efficiency. Designating and managing Service Level Objectives (SLOs) as availability targets for a service. Investing in automation and tooling to avoid toil. SRE vs DevOps? Streamlined change management. Robust emergency response.

DevOps 268

DevOps Software Engineering Speed Google 268

Dynatrace

OCTOBER 1, 2021

The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. The value of observability doesn’t stop at IT use cases.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

JUNE 1, 2023

Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency typically refers to the time it takes for a single request to travel from its source to its destination. Latency primarily focuses on the time spent in transit.

Traffic 173

Traffic Website Latency DevOps 173

The Netflix TechBlog

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. However, having a scalable stream processing platform doesn’t help much if you can’t store data in a cost efficient manner.

Infrastructure 238

Infrastructure Transportation Storage Open Source 238

Percona

NOVEMBER 9, 2023

Kubernetes can be complex, which is why we offer comprehensive training that equips you and your team with the expertise and skills to manage database configurations, implement industry best practices, and carry out efficient backup and recovery procedures.

Efficiency 117

Efficiency Cloud Healthcare Open Source 117

Scalegrid

OCTOBER 17, 2019

Using a connection pool in each module is hardly efficient: Even with a relatively small number of modules, and a small pool size in each, you end up with a lot of server processes. Our tests show that even a small number of clients can significantly benefit from using a connection pooler. The architecture of a generic connection-pool.

Architecture 200

Architecture Database Latency Servers 200

Dynatrace

MARCH 29, 2024

.” While Kubernetes’ usability and ubiquity make it the ideal environment for cloud-based production tasks, operational oversight and resource management challenges can frustrate DevOps efforts to drive efficiency. You can ask for the best configuration to reduce latency or improve the user experience.”

Engineering 264

Engineering DevOps Operating System Cloud 264

Dynatrace

SEPTEMBER 25, 2019

Citrix is a sophisticated, efficient, and highly scalable application delivery platform that is itself comprised of anywhere from hundreds to thousands of servers. Dynatrace automation and AI-powered monitoring of your entire IT landscape help you to engage your Citrix management tools where they are most efficient. Dynatrace news.

Latency 164

Latency Performance Virtualization Infrastructure 164

Dynatrace

JANUARY 18, 2023

This methodology aims to improve software system reliability using several key categories such as availability, performance, latency, efficiency, capacity, and incident response. A CI/CD practice can offer a high level of scalability to organizations looking to innovate quickly and efficiently. What is DevOps?

DevOps 246

DevOps Best Practices Innovation Strategy 246

The Netflix TechBlog

MARCH 13, 2020

The teams have been working closely on SVT-AV1 development, discussing architectural decisions, implementing new tools, and improving compression efficiency. The SVT-AV1 encoder supports all AV1 tools which contribute to compression efficiency.

Open Source 159

Open Source Efficiency C++ Speed 159

Percona

MARCH 20, 2023

In this scenario, it is also crucial to be efficient in resource utilization and scaling with frugality. micro) The tests We will have very simple test cases. micro) The tests We will have very simple test cases. Let us take a look also the latency: Here the situation starts to be a little bit more complicated.

Games 141

Games Latency Traffic Cache 141

Scalegrid

JANUARY 25, 2024

Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities. These essential data points heavily influence both stability and efficiency within the system.

Metrics 130

Metrics Monitoring Latency Cache 130

The Netflix TechBlog

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. the retry success probability) and compute cost efficiency (i.e., Multi-objective optimizations.

Tuning 217

Tuning Efficiency Big Data Engineering 217

Dynatrace

FEBRUARY 2, 2022

service availability with <50ms latency for an application with no revenue impact. Tailoring SLOs in this way ensures that you’re spending resources making sure that SLOs are met, used efficiently, driving customer value, and helping Developers improve their QA and resolution processes.

DevOps 246

DevOps Metrics Best Practices Latency 246

The Netflix TechBlog

APRIL 26, 2022

These large unstructured blogs are not efficient for querying, so we need to transform and store this data in a different format to allow efficient queries. One might think that normalizing it would make storage and querying more efficient, albeit at the cost of writing more complex queries.

Storage 195

Storage Design Scalability Latency 195

VoltDB

MAY 14, 2024

Balancing Low Latency, High Availability and Cloud Choice Cloud hosting is no longer just an option — it’s now, in many cases, the default choice. Prototypes, experiments, and tests Development and testing historically involved end-of-life or ‘spare’ hardware. With the cloud, your testing capacity is only limited by your budget.

Latency 52

Latency Availability Cloud Hardware 52

The Netflix TechBlog

JANUARY 24, 2022

Technically, “performance” metrics are those relating to the responsiveness or latency of the app, including start up time. Why do we run Performance Tests on commits? By running performance tests against every commit (pre- and post-merge), we can detect potentially regressive commits earlier. What are the Performance Tests?

Performance 208

Performance Performance Testing Metrics Testing 208

All Things Distributed

JULY 20, 2015

This architecture affords Amazon ECS high availability, low latency, and high throughput because the data store is never pessimistically locked. We recently ran a series of load tests on Amazon ECS, and we wanted to share some of the performance characteristics customers should expect when building applications on Amazon ECS.

Latency 156

Latency Architecture AWS Open Source 156

The Netflix TechBlog

NOVEMBER 20, 2023

We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. past 3 hours or 10 days).

Processing 219

Processing Big Data Efficiency Engineering 219