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

Scalegrid

DECEMBER 21, 2023

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold.

Strategy 130

Strategy Monitoring Latency DevOps 130

DZone

JUNE 15, 2023

In order to gain insight into these problems, we gather a range of metrics and logs to monitor the utilization of system resources such as CPU, memory, and application-specific latencies. It is worth noting that this data collection process does not impact the performance of the application.

Latency 246

Latency Storage Strategy Metrics 246

Scalegrid

JANUARY 25, 2024

These can help you ensure your system’s health and quickly perform root cause analysis of any performance-related issue you might be encountering. Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

NOVEMBER 28, 2022

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

Lambda 229

Lambda AWS Serverless Latency 229

The Netflix TechBlog

NOVEMBER 9, 2022

A quick canary test was free of errors and showed lower latency, which is expected given that our standard canary setup routes an equal amount of traffic to both the baseline running on 4xl and the canary on 12xl. What’s worse, average latency degraded by more than 50%, with both CPU and latency patterns becoming more “choppy.”

Hardware 363

Hardware Cache Performance Latency 363

Dynatrace

DECEMBER 27, 2022

Establish realistic SLO targets based on statistical and probabilistic analysis. This process includes benchmarking realistic SLO targets based on statistical and probabilistic analysis from Dynatrace. Latency is the time that it takes a request to be served. Implement a centralized approach to instrumenting and measuring SLOs.

Software 269

Software Software Benchmarking Latency 269

High Scalability

FEBRUARY 17, 2021

We note that for MongoDB update latency is really very low (low is better) compared to other dbs, however the read latency is on the higher side. The latency table shows that 99th percentile latency for Yugabyte is quite high compared to others (lower is better). Again Yugabyte latency is quite high. Conclusion.

Benchmarking 308

Benchmarking Latency C++ Database 308

Dynatrace

NOVEMBER 10, 2022

With the growing complexity of application architectures which can rely on tens of thousands of microservices, end-2-end observability is a requirement to optimize application performance and to deliver intelligent root-cause analysis. The need for a simplified approach to capture telemetry.

Lambda 237

Lambda Serverless AWS Latency 237

Dynatrace

DECEMBER 13, 2023

By monitoring metrics such as error rates, response times, and network latency, developers can identify trends and potential issues, so they don’t become critical. Load time and network latency metrics. Minimizing the number of network requests that your app makes can improve performance by reducing latency and improving load times.

Best Practices 203

Best Practices Mobile Metrics Performance 203

Dynatrace

JUNE 7, 2023

One of the crucial success factors for delivering cost-efficient and high-quality AI-agent services, following the approach described above, is to closely observe their cost, latency, and reliability. With these latency, reliability, and cost measurements in place, your operations team can now define their own OpenAI dashboards and SLOs.

Monitoring 168

Monitoring Latency Metrics Azure 168

Dynatrace

MAY 31, 2023

Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. At the lowest level, SLIs provide a view of service availability, latency, performance, and capacity across systems. More than one in seven outages cost more than $1 million.

Best Practices 227

Best Practices DevOps Latency Metrics 227

The Netflix TechBlog

JANUARY 25, 2023

The service should be able to serve real-time, aka UI, applications so CRUD and search operations should be achieved with low latency. Our service will be used by a lot of internal UI applications hence the latency for CRUD and search operations must be low. Search latency for the generic text queries are in milliseconds.

Scalability 283

Scalability Latency Media Architecture 283

DZone

AUGUST 16, 2023

From a data engineer's point of view, financial risk management is a series of data analysis activities on financial data. The ever-enlarging data size at the source end was pushing the system toward latency and instability. The financial sector imposes its unique requirements on data engineering.

FinTech 130

FinTech Engineering Latency Data Engineering 130

Scalegrid

JUNE 22, 2020

Compare Latency. On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations. Now that we’ve compared throughput performance, let’s take a look at ScaleGrid vs. DigitalOcean latency for MySQL. Read-Intensive Latency Benchmark. Balanced Workload Latency Benchmark.

Database 217

Database Benchmarking Latency Performance 217

Dynatrace

OCTOBER 23, 2023

As such, the observability platform used to monitor Hyper-V should ideally fulfill requirements for holistic visibility, correlation and causation analysis, AI-powered analytics, scalability, and security. Dynatrace is a platform that satisfies all these criteria. Learn more about the pillars of modern observability in this e-book.

Efficiency 219

Efficiency Virtualization Hardware Performance 219

Scalegrid

JUNE 4, 2020

Compare Latency. lower latency compared to DigitalOcean for PostgreSQL. Now, let’s take a look at the throughput and latency performance of our comparison. Next, we are going to test and compare the latency performance between ScaleGrid and DigitalOcean for PostgreSQL. PostgreSQL DigitalOcean Latency Averages (ms).

Database 230

Database Latency Benchmarking Performance 230

Dynatrace

APRIL 7, 2023

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Customers can use response streaming to achieve the following: Improve Time to First Byte (TTFB) performance for latency-sensitive applications. Return larger payload sizes.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

DECEMBER 4, 2023

In the Dynatrace web UI, you can track your AI model in real time, examine its model attributes, and assess the reliability and latency of each specific LangChain task, as demonstrated below. OpenLLMetry provides an open source SDK for LLM observability, seamlessly integrating with Dynatrace for in-depth analysis.

Open Source 262

Open Source Latency Metrics Java 262

Randon ASCII

SEPTEMBER 8, 2019

Sometimes the challenge in trace analysis is to find where the issue is, but for this issue that part of the analysis was trivial. Analysis of clicking on non-explorer programs shows that ShellExperienceHost.exe becomes active much faster when RuntimeBroker.exe is out of the picture, but the visible menu delays are still not great.

Latency 79

Latency Cache Programming Operating System 79

Dynatrace

MAY 13, 2022

In addition to the built-in views, Dynatrace provides data analysis that enhances your ability to query and chart metrics. With the Dynatrace Data Explorer, you can easily analyze metrics, such as client read/write latency by Cassandra nodes and disk space usage by keyspaces.

Azure 239

Azure Latency Metrics Infrastructure 239

Dynatrace

SEPTEMBER 13, 2023

The Site Reliability Guardian helps automate release validation based on SLOs and important signals that define the expected behavior of your applications in terms of availability, performance errors, throughput, latency, etc. SRG validates the status of the resiliency SLOs for the experiment period.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

JANUARY 31, 2024

For production models, this provides observability of service-level agreement (SLA) performance metrics, such as token consumption, latency, availability, response time, and error count. Organizations benefit from detailed workflow analysis, resource allocation insights, and execution insights, end to end from prompt to response.

Cache 209

Cache Azure Infrastructure Monitoring 209

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. With request tracing and additional data from logs, events, metadata, and analysis, Edgar is able to show the flow of a request through our distributed system?

Latency 296

Latency Transportation Engineering Traffic 296

Scalegrid

OCTOBER 24, 2019

As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure. ScaleGrid also maintains 53% lower latency on average throughout the entire MySQL AWS performance tests.

AWS 183

AWS Latency Performance Benchmarking 183

Dynatrace

MAY 17, 2023

The other sections on that page (such as Disk analysis) provide further information and charts on topics such as available disk space, latency, dropped network packets, refused connections, and more. Performance analysis covers the technical aspects of the service, such as error rates, geo-locations, XHR actions, and user-bot ratio.

Metrics 175

Metrics Monitoring Database Network 175

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. One can perform this comparison live on the request path or offline based on the latency requirements of the particular use case.

Traffic 279

Traffic Metrics Systems Strategy 279

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. ITOps relies on manual correlations and dashboards for analysis. AIOps, on the other hand, uses AI and machine learning for automatic analysis and insights. Performance. What does IT operations do? ” The post What is ITOps?

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

JANUARY 31, 2024

Surveys from our recent Automation Pulse Report underscore this sentiment: 57% of C-level executives say the absence of data observability and data flow analysis makes it difficult to drive automation in a compliant way. It plays a crucial role in root cause analysis as well as informing impacted systems about an issue as quickly as possible.

DevOps 197

DevOps Analytics Airlines Metrics 197

Dynatrace

APRIL 6, 2022

Observability can identify the baseline user experience and allow teams to improve it by optimizing page load times or reducing latency. With a single source of truth for root-cause analysis, IT and DevOps teams can quickly get on the same page about what needs to be done and who’s responsible for doing it. Watch webinar now!

DevOps 235

DevOps Innovation Infrastructure Analytics 235

Dynatrace

JUNE 25, 2020

The network latency between cluster nodes should be around 10 ms or less. For Premium HA, this has been extended from 10 ms latency (in the same network region) to around 100 ms network latency due to asynchronous data replication between regions. A similar analysis can be performed on your GRO.

Availability 251

Availability Hardware Latency Traffic 251

Adrian Cockcroft

MARCH 17, 2020

The second technique starts with the system constraints that need to be satisfied to maintain safe and successful operation and works in a top down manner using System Theoretic Process Analysis (STPA), or the more specific technique System Theoretic Accident Model and Processes (STAMP). Book: Engineering a Safer World by Nancy G.

Healthcare 52

Healthcare Government Airlines Systems 52

The Morning Paper

OCTOBER 4, 2020

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. Throughput and latency. The short answer is no.

Energy 130

Energy Latency Performance Network 130

Dynatrace

APRIL 5, 2021

Before you commit to leveraging AWS services, architect your solution and perform a cost analysis to make sure you can gain the most benefit. AWS continues to improve how it handles latency issues. Trying to discern a problem’s root cause through manual log analysis in this scenario is daunting.

Lambda 183

Lambda AWS Serverless Hardware 183

Percona

JULY 20, 2023

But a very close analysis of wait_events from pg_stat_activity can tell us the story as closely as possible. pg_gather analysis report can show wait events and other information associated with each session. Following wait events are captured from a really fast/low latency network. So we should be sampling the wait events.

Network 61

Network Performance Latency Servers 61

Dynatrace

OCTOBER 4, 2021

Look for key features, including: Comprehensive analysis of all data, not just samples of monitoring data. However, if you want to trigger an alert based on an outlier, such as a sudden spike in latency in one region or for a single customer, then sampling may not provide the alerting system with the data it needs to perform its job.

Monitoring 182

Monitoring Latency Metrics Availability 182

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Once teams centralize their telemetry data, an observability platform can provide analysis that enriches the value of the data. Observability platforms provide root-cause analysis.

Artificial Intelligence 182

Artificial Intelligence Metrics Architecture DevOps 182