The Netflix TechBlog

JUNE 13, 2023

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience. This is where large-scale system migrations come into play.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

OCTOBER 25, 2022

Just one click to your preventive analysis. Dynatrace now goes a step further and makes it possible for SREs and DevOps to perform proactive exploratory analysis of observability signals with intelligent answers. With Davis exploratory analysis we can now automatically analyze thousands of signals before incidences even arise.

Efficiency 238

Efficiency Best Practices DevOps Open Source 238

Percona

DECEMBER 13, 2023

MySQL 8 introduces Error Log Filtering as a mechanism to fine-tune the error log, allowing administrators to focus on the most critical issues. This is particularly beneficial in high-traffic environments where minimizing log noise is crucial for efficient log analysis.

Database 96

Database Open Source Tuning Traffic 96

Dynatrace

APRIL 26, 2022

Digital experience monitoring enables companies to respond to issues more efficiently in real time, and, through enrichment with the right business data, understand how end-user experience of their digital products significantly affects business key performance indicators (KPIs).

Monitoring 206

Monitoring Social Media IoT Metrics 206

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 222

DevOps Traffic Efficiency Servers 222

KeyCDN

AUGUST 15, 2019

Before you begin tuning your website or application, you must first figure out which metrics matter most to your users and establish some achievable benchmarks. Just because everything works perfectly during production testing doesn’t mean that will be the case when your website is flooded with traffic.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Dynatrace

SEPTEMBER 29, 2021

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. 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. What is Docker? Networking.

Open Source 304

Open Source Traffic DevOps Cloud 304

Dynatrace

FEBRUARY 16, 2023

Three pillars of observability converge with context and business data at the massive scale of Grail The Dynatrace Software Intelligence Platform has always brought the full value of logs, metrics, and traces together with context and user data for AI-powered analysis.

Analytics 188

Analytics Innovation Metrics Database 188

Dynatrace

FEBRUARY 10, 2021

Lots of data intended to help and aid, but instead results in too much noise and unnecessary alerts due to the lack of intelligent root-cause analysis and transparency. Dynatrace Cloud Automation allows easy analysis of the status and impact a release has on your business or on test results in any environment. What’s next.

Cloud 169

Cloud DevOps Speed Azure 169

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. depending on the use case.

Processing 229

Processing Media Latency Innovation 229

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. It serves as an entry point into any new analysis.

Open Source 279

Open Source Network Infrastructure Big Data 279

Percona

OCTOBER 18, 2023

This is where you will fine-tune authentication mechanisms, storage paths, security policies, and memory allocation settings to optimize them for your specific use case(s). This analysis serves as a guide for creating a corresponding schema within the open source database environment you have chosen.

Open Source 95

Open Source Database Hardware Strategy 95

The Netflix TechBlog

JULY 26, 2021

Such a paradigm aspires to assist front-line operations personnel and stakeholders in “running the business”²; performing their tasks through means such as ad hoc analysis, decision-support, and tracking (of tasks, assets, schedules, etc). Please stay tuned! tactical) in nature. The audits check for equality (i.e. Dehghani, Zhamak.

Big Data 253

Big Data Government Analytics Processing 253

Percona

AUGUST 27, 2018

Dangerous , because if you set this to a thread when using connection pooling OR ProxySQL and multiplexing, you may end up assigning a limitation to queries that instead, you wanted to run efficiently. Then we need to see IF implementing the tuning will work or not. Another cool useless feature??? ” Good question!

Tuning 46

Tuning Virtualization Testing Servers 46

Adrian Cockcroft

NOVEMBER 13, 2023

In the simplest case, you have a growing workload, and you optimize it to run more efficiently so that you don’t need to buy or rent additional hardware, so your carbon footprint stays the same, but the carbon per transaction or operation is going down. I’ve written before about how to tune out retry storms.

Energy 52

Energy Cloud Traffic Transportation 52

Dynatrace

DECEMBER 9, 2020

Confidence for a safe release is provided by more validation of how the changes impact quality, for example, before deploying to production or with impact analysis during blue/green deployments. This helps to perform dynamic what-if analysis with different timeframes and to look back in time.

Metrics 152

Metrics Engineering Google Monitoring 152

The Netflix TechBlog

NOVEMBER 2, 2021

A bridge between two worlds To live such a life, we developed several “bridging” workflows, which allow us to route video quality traffic from Reloaded into Cosmos. Video quality has matured in Cosmos and we are invested in making VQS more flexible and efficient. Stay tuned for more details on these algorithmic innovations.

Media 171

Media Innovation Metrics Latency 171

Dynatrace

DECEMBER 8, 2020

Dynatrace combines RASP and observability for automatic and continuous analysis of applications, libraries, and code runtime in production and pre-production to detect, assess and manage vulnerabilities. One single platform drives efficient DevSecOps collaboration and automated vulnerability management.

Cloud 292

Cloud Open Source Internet Internet 292

O'Reilly

SEPTEMBER 19, 2023

A common audience question was “can Hadoop run [my arbitrary analysis job or home-grown algorithm]?” You can download these models to use out of the box, or employ minimal compute resources to fine-tune them for your particular task. Bayesian data analysis and Monte Carlo simulations are common in finance and insurance.

Hardware 99

Hardware Storage Big Data Blockchain 99

KeyCDN

OCTOBER 31, 2018

Additionally, DebugBar can monitor network traffic, inspect CSS elements and evaluate your JavaScript code. The premium service purportedly provides ongoing threat analysis with no false positives. DebugBar DebugBar is a useful tool for any developer since it can catch HTML and JavaScript bugs as well.

Development 57

Development Open Source Java AWS 57

Brendan Gregg

SEPTEMBER 5, 2017

I wrote a page on it: [perf]. - **eBPF**: tracing features completed in 2016, this provides efficient programmatic tracing to existing kernel frameworks. Both Xen and KVM have had many performance and security improvements, and workloads can now be tuned to run at almost bare metal speeds (say, a 3% loss or less).

Virtualization 76

Virtualization AWS Engineering Hardware 76