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. Additionally, it became easy to provide deep links to different monitoring and deployment systems in Edgar due to consistent tagging.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

DECEMBER 2, 2021

With reliable SLOs, you can set up automation to monitor and measure SLIs and set alerts if certain indicators are trending toward violation. You can set SLOs based on individual indicators, such as batch throughput, request latency, and failures-per-second. These trends also help you adjust business objectives and SLAs.

Metrics 180

Metrics Best Practices DevOps Infrastructure 180

IO River

NOVEMBER 2, 2023

Latency is a concept that increases with distance, so a signal that has to travel 1,000 KM will be much faster compared to a signal sprinting for that 100,000 KM. Maintenance Without MayhemWhat happens when one of your servers/data centers needs a tune-up? Do you just give up the traffic trying to access it while you work on it?

Traffic 52

Traffic Cache Servers Latency 52

IO River

NOVEMBER 2, 2023

Latency is a concept that increases with distance, so a signal that has to travel 1,000 KM will be much faster compared to a signal sprinting for that 100,000 KM. Maintenance Without MayhemWhat happens when one of your servers/data centers needs a tune-up? Do you just give up the traffic trying to access it while you work on it?

Traffic 40

Traffic Cache Network Servers 40

IO River

NOVEMBER 15, 2023

Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture. You'll have logs and analytics scattered across different CDNs. Moreover, each Edge WAF operates in isolation, unable to monitor traffic flowing through other CDNs. Let's dive deep into these challenges.‍1.

Traffic 52

Traffic Network Logistics Architecture 52

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. If tuned for performance, there is a good change reliability is compromised - and vice versa. Building data pipelines can offer strategic advantages to the business.

Latency 63

Latency Analytics Scalability Engineering 63

IO River

NOVEMBER 2, 2023

Two of them are particularly gnarly: fine-tuning rules to perfection and managing a WAF over a multi-CDN architecture. You'll have logs and analytics scattered across different CDNs. To offset the blind spots inherent in Multi-CDN environments, real-time analytics and reporting become indispensable.

Traffic 40

Traffic Network Logistics Architecture 40

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. divide the input video into small chunks 2.

Processing 229

Processing Media Latency Innovation 229

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. Operational Reporting Pipeline Example Iceberg Sink Apache Iceberg is an open source table format for huge analytics datasets. Please stay tuned!

Big Data 253

Big Data Government Analytics Processing 253

HammerDB

OCTOBER 12, 2018

Finally it is also important to note that this comparison is focused around OLTP based workloads, HammerDB also supports a TPC-H based workload for analytics with complex ad-hoc queries. maximum transition latency: Cannot determine or is not supported. . monitoring. monitoring. hardware limits: 1000 MHz - 3.80

Best Practices 40

Best Practices Scalability Performance C++ 40

The Netflix TechBlog

NOVEMBER 20, 2023

As our business scales globally, the demand for data is growing and the needs for scalable low latency incremental processing begin to emerge. Apache Iceberg Iceberg is a high-performance format for huge analytic tables. We will also add managed backfill support into IPS to help users to build, monitor, and validate the backfill.

Processing 210

Processing Big Data Efficiency Engineering 210