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

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. M-CDN enables enacting a failover strategy with additional CDN providers that have not been impacted.

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

Dynatrace

DECEMBER 13, 2023

In-app purchases can help to measure the overall effectiveness of your business strategy. 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. Performance optimization.

Best Practices 203

Best Practices Mobile Metrics Performance 203

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

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

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. Migrating Persistent Stores Stateful APIs pose unique challenges that require different strategies.

Traffic 279

Traffic Metrics Systems Strategy 279

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. M-CDN enables enacting a failover strategy with additional CDN providers that have not been impacted.

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. SRG validates the status of the resiliency SLOs for the experiment period.

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. To ensure resilience, ITOps teams simulate disasters and implement strategies to mitigate downtime and reduce financial loss. ITOps relies on manual correlations and dashboards for analysis. Performance. What does IT operations do?

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

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

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

JANUARY 31, 2024

Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued. 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.

DevOps 198

DevOps Analytics Airlines Metrics 198

Scalegrid

FEBRUARY 8, 2024

Data replication strategies like full, incremental, and log-based replication are crucial for improving data availability and fault tolerance in distributed systems, while synchronous and asynchronous methods impact data consistency and system costs. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

JULY 21, 2022

With large data, comes the opportunity to leverage the data for predictive and classification based analysis. We also highlight steps and guidelines for exploratory analysis and prediction to understand Out of Memory kills on a sample set of devices. Restricting Testing and Analysis to one day and device at a time.

Big Data 179

Big Data Cache Engineering Data Engineering 179

The Netflix TechBlog

OCTOBER 26, 2021

Another strategy to increase effect sizes is to test in new areas of the product, where there may be room for larger improvements in member satisfaction. Say at Netflix that we run a test that aims to reduce some measure of latency, such as the delay between a member pressing play and video playback commencing.

Testing 202

Testing Latency Metrics Innovation 202

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. This avoids thrashing caches too much for B and evens out the pressure on the L3 caches of the machine.

Cache 251

Cache Latency Airlines Logistics 251

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 184

Lambda AWS Serverless Hardware 184

Dynatrace

NOVEMBER 3, 2021

For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time. Conventional database performance analysis is simple, though, compared with diagnosing microservice architectures with multiple components and an array of dependencies.

Monitoring 226

Monitoring Metrics DevOps Scalability 226

Scalegrid

JANUARY 8, 2024

Artificial intelligence can automate tasks ranging from: data analysis resource provisioning system maintenance decision-making natural language processing This not only improves accuracy and reliability but also frees up valuable time for IT teams to focus on strategic tasks, such as resource management on platforms like Google Cloud.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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

Scalegrid

JANUARY 12, 2024

Key Takeaways A cloud workload encompasses any application or service running on a cloud infrastructure, facilitating tasks ranging from basic functions to advanced data analysis with the help of resources like databases, collaboration tools, and disaster recovery systems. Daunting as this may seem initially. </p>

Cloud 130

Cloud Virtualization Storage Efficiency 130

Percona

DECEMBER 11, 2023

DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads. Overall, adopting this practice promotes a structured and efficient storage strategy, fostering better performance, manageability, and, ultimately, a more robust database environment.

AWS 94

AWS Benchmarking Performance Traffic 94

Dynatrace

SEPTEMBER 30, 2021

A cloud migration strategy, however, provides technical optimization that’s also firmly rooted in the business value chain. Migrating to the cloud is a strategy many organizations pursue to streamline and consolidate their security efforts. This can dramatically decrease network latency and its effect on the end-user experience.

Cloud 169

Cloud Traffic Best Practices Strategy 169

The Netflix TechBlog

SEPTEMBER 8, 2020

Over the course of this post, we will talk about our approach to this migration, the strategies that we employed, and the tools we built to support this. Being able to canary a new route let us verify latency and error rates were within acceptable limits. Background The Netflix Android app uses the falcor data model and query protocol.

Latency 233

Latency Cache Java Traffic 233

The Morning Paper

SEPTEMBER 10, 2019

Broadly, these can be categorized as: reporting and dashboarding, embedded statistics in pages, time-series monitoring, and ad-hoc analysis. That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. Reporting and dashboarding use cases (e.g.

Analytics 75

Analytics Latency Cache Google 75

The Netflix TechBlog

NOVEMBER 2, 2021

This enables us to use our scale to increase throughput and reduce latencies. Here, based on the video length, the throughput and latency requirements, available scale etc., Similar to chunk-based encoding , the VQS workflow consists of chunk-based quality calculations, followed by an assembly step. The workflow is initiated.

Media 171

Media Innovation Metrics Latency 171

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. Most of the business views created on top of the Iceberg tables can tolerate a few minutes of latency.

Big Data 253

Big Data Government Analytics Processing 253

CSS Wizardry

APRIL 22, 2020

This is because file-size is only one aspect of web performance, and whatever the file-size is, the resource is still sat on top of a lot of other factors and constants—latency, packet loss, etc. This simple, elegant strategy manages to balance caution with optimism, and applies to every new TCP connection that your web application makes.

Latency 269

Latency Servers Website Speed 269

Smashing Magazine

AUGUST 3, 2023

These pages serve as a pivotal tool in our digital marketing strategy, not only providing valuable information about our services but also designed to be easily discoverable through search engines. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority.

Performance 74

Performance Cache Traffic Metrics 74

VoltDB

JUNE 9, 2017

In the telco world, batch processing has been the de facto choice for data processing and billing, so any analytics strategy had to be based on a batch processing model. Does this affect our analytics strategy? To analyze the network data for very specific information – but you couldn’t apply that analysis over the huge volume of data.

Analytics 40

Analytics Strategy Network Games 40

VoltDB

JUNE 9, 2017

In the telco world, batch processing has been the de facto choice for data processing and billing, so any analytics strategy had to be based on a batch processing model. Does this affect our analytics strategy? To analyze the network data for very specific information – but you couldn’t apply that analysis over the huge volume of data.

Analytics 40

Analytics Strategy Network Games 40

The Netflix TechBlog

FEBRUARY 9, 2021

By offloading token processing from these systems to the central Edge Authentication Services, downstream systems saw significant gains in CPU, request latency, and garbage collection metrics, all of which help reduce cluster footprint and cloud costs. This website was later enhanced with the capability to stream content.

Architecture 221

Architecture Latency Servers Website 221

Percona

NOVEMBER 9, 2023

Education : Universities often use Kubernetes for projects that require substantial resources because it scales computing clusters for research, data analysis, and simulations. Telecommunications : By guaranteeing low-latency communication, Kubernetes assists the telecom sector in quickly deploying 5G and edge computing applications.

Efficiency 99

Efficiency Cloud Healthcare Open Source 99

The Netflix TechBlog

DECEMBER 2, 2019

The development of an effective data compression strategy enabled us to deploy bootstrapping methods at dramatically greater scale, allowing experimenters to analyze their A/B test results faster and with clearer insights. In the rare event analysis, we weigh each hour (or session) equally instead.

Metrics 143

Metrics Strategy Efficiency Testing 143

The Netflix TechBlog

DECEMBER 2, 2019

The development of an effective data compression strategy enabled us to deploy bootstrapping methods at dramatically greater scale, allowing experimenters to analyze their A/B test results faster and with clearer insights. In the rare event analysis, we weigh each hour (or session) equally instead.

Metrics 140

Metrics Strategy Efficiency Testing 140

The Netflix TechBlog

DECEMBER 2, 2019

The development of an effective data compression strategy enabled us to deploy bootstrapping methods at dramatically greater scale, allowing experimenters to analyze their A/B test results faster and with clearer insights. In the rare event analysis, we weigh each hour (or session) equally instead.

Metrics 130

Metrics Strategy Efficiency Testing 130

The Netflix TechBlog

JANUARY 24, 2022

This post describes how the Netflix TVUI team implemented a robust strategy to quickly and easily detect performance anomalies before they are released?—?and Technically, “performance” metrics are those relating to the responsiveness or latency of the app, including start up time. Their utility extends well beyond performance analysis.

Performance 199

Performance Metrics Performance Testing Testing 199