Efficiency, Latency, Processing and Systems - Technology Performance Pulse

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

The Netflix TechBlog

SEPTEMBER 29, 2022

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform.

Latency

Latency Systems Media Serverless

How to Optimize CPU Performance Through Isolation and System Tuning

DZone

MAY 1, 2023

CPU isolation and efficient system management are critical for any application which requires low-latency and high-performance computing. These measures are especially important for high-frequency trading systems, where split-second decisions on buying and selling stocks must be made.

Tuning

Tuning Systems Latency Performance

Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

MARCH 7, 2024

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

Systems

Systems Media Cache Open Source

Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

OCTOBER 23, 2023

Microsoft Hyper-V is a virtualization platform that manages virtual machines (VMs) on Windows-based systems. It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. This leads to a more efficient and streamlined experience for users.

Efficiency

Efficiency Virtualization Hardware Performance

Edge Computing Orchestration in IoT: Coordinating Distributed Workloads

DZone

FEBRUARY 2, 2024

In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making.

IoT

IoT Artificial Intelligence Latency Internet

Managing risk for financial services: The secret to visibility and control during times of volatility

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. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience.

Analytics

Analytics Infrastructure Efficiency Technology

Crucial Redis Monitoring Metrics You Must Watch

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

Metrics Monitoring Latency Cache

API Design Principles for Optimal Performance and Scalability

DZone

JUNE 22, 2023

API performance optimization is the process of improving the speed, scalability, and reliability of APIs. It involves a combination of techniques and best practices aimed at reducing latency, improving user experience, and increasing the overall efficiency of the system. What Is API Performance Optimization?

Scalability

Scalability Design Best Practices Performance

What are quality gates? How to use quality gates to deliver better software at speed and scale

Dynatrace

FEBRUARY 21, 2024

Open vulnerability on process group: The total number of currently high-profile vulnerabilities related to a process group. Vulnerability score: The highest vulnerability risk score for a process group. This way, the travel agency can easily streamline, organize, and consolidate their quality gates and metric evaluation process.

Speed

Speed Software Software Latency

Low Overhead Continuous Contextual Production Profiling

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

Latency Storage Strategy Metrics

Implementing AWS well-architected pillars with automated workflows

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS

AWS Efficiency Azure Cloud

Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace

MARCH 29, 2024

As organizations continue to modernize their technology stacks, many turn to Kubernetes , an open source container orchestration system for automating software deployment, scaling, and management. You can ask for the best configuration to reduce latency or improve the user experience.” It’s using 1.5 cores, but only 0.2

Engineering

Engineering DevOps Operating System Open Source

Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

JANUARY 31, 2024

GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues. The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources.

Cache

Cache Azure Infrastructure Monitoring

Artificial Intelligence in Cloud Computing

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence

Artificial Intelligence Cloud Scalability Analytics

Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

The Netflix TechBlog

MARCH 4, 2024

We have deployed Auto Remediation in production for handling memory configuration errors and unclassified errors of Spark jobs and observed its efficiency and effectiveness (e.g., For efficient error handling, Netflix developed an error classification service, called Pensive, which leverages a rule-based classifier for error classification.

Tuning

Tuning Efficiency Big Data Engineering

Orbital edge computing: nano satellite constellations as a new class of computer system

The Morning Paper

OCTOBER 11, 2020

Orbital edge computing: nanosatellite constellations as a new class of computer system , Denby & Lucia, ASPLOS’20. Only space system architects don’t call it request-response, they call it a ‘ bent-pipe architecture.’. The old ground-initiated command-and-control style systems aren’t going to work for these finer-grained systems.

Systems

Systems Latency Architecture Energy

Site reliability engineering: 5 things you need to know

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering

Engineering DevOps Government Latency

Plan Your Multi Cloud Strategy

Scalegrid

MARCH 22, 2024

Crafting Your Multi-Cloud Blueprint Formulating a comprehensive multi-cloud framework is an intricate process that requires a business’s specific requirements, choosing suitable cloud services, and optimizing for performance and affordability. They can also bolster uptime and limit latency issues or potential downtimes.

Strategy

Strategy Cloud Government Innovation

What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence

Artificial Intelligence DevOps Hardware Virtualization

Site reliability engineering: 5 things to you need to know

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering

Engineering DevOps Government Latency

What is AWS Lambda?

Dynatrace

APRIL 5, 2021

The 2014 launch of AWS Lambda marked a milestone in how organizations use cloud services to deliver their applications more efficiently, by running functions at the edge of the cloud without the cost and operational overhead of on-premises servers. Real-time file processing, for quickly indexing files, processing logs, and validating content.

Lambda

Lambda AWS Serverless Hardware

MongoDB Rollback: How to Minimize Data Loss

Scalegrid

JANUARY 19, 2024

When a MongoDB rollback happens, it can cause trouble to your data integrity and system consistency. Key Takeaways Rollbacks in MongoDB are triggered by disruptions in the replication process due to primary node crashes, network partitions, or other failures, which can lead to substantial data loss and inconsistencies.

Database

Database Network Servers Monitoring

In-Stream Big Data Processing

Highly Scalable

AUGUST 20, 2013

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that real-time query processing and in-stream processing is the immediate need in many practical applications. Fault-tolerance.

Big Data

Big Data Processing Lambda Database

Mastering MongoDB® Timeout Settings

Scalegrid

DECEMBER 14, 2023

The implication resulting from exceeding the Server Selection Timeout limit can prove damaging for MongoDB’s efficiency, leading to a selection error which is about time-out exceeding the allowed limits. x+ in Java). Modifying this setting does affect performance.

Java

Java Network Servers Database

Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

OCTOBER 19, 2020

which is difficult when troubleshooting distributed systems. Reconstructing a streaming session was a tedious and time consuming process that involved tracing all interactions (requests) between the Netflix app, our Content Delivery Network (CDN), and backend microservices.

Infrastructure

Infrastructure Transportation Storage Open Source

Predictive CPU isolation of containers at Netflix

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. Its goal is to assign running processes to time slices of the CPU in a “fair” way. So why mess with it?

Cache

Cache Latency Airlines Logistics

Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. Higher latency and cold start issues due to the initialization time of the functions. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces.

Serverless

Serverless Lambda Azure AWS

Cluster Diagnostics: Troubleshoot Cluster Issues Using Only SQL Queries

DZone

JULY 6, 2020

TiDB is an open-source, distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. Ideally, a TiDB cluster should always be efficient and problem-free. It should be stable, load-balanced, and have a reliable rate of queries per second (QPS).

Open Source

Open Source Latency Traffic Analytics

MySQL Key Performance Indicators (KPI) With PMM

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance

Performance Monitoring Traffic Database

Best Practices for a Seamless MongoDB Upgrade

Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Our new eBook, “ From Planning to Performance: MongoDB Upgrade Best Practices ,” guides you through the entire process to ensure your database’s long-term success.

Best Practices

Best Practices Hardware Tuning Scalability

What is a Distributed Storage System

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage

Storage Systems Big Data Azure

File systems unfit as distributed storage backends: lessons from ten years of Ceph evolution

The Morning Paper

NOVEMBER 5, 2019

File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. A distributed file system provides a unified view over aggregated storage from multiple physical machines.

Storage

Storage Systems Hardware Efficiency

Seamless offloading of web app computations from mobile device to edge clouds via HTML5 Web Worker migration

The Morning Paper

JANUARY 30, 2020

Edge servers are the middle ground – more compute power than a mobile device, but with latency of just a few ms. The Mobile Web Worker (MWW) System. The current system assumes an application specific regression model is available on the servers which can predict processing time given the current parameters of the job (e.g.

Mobile

Mobile Cloud Latency Games

USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance

Performance Latency Cache Virtualization

Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing

Processing Media Latency Innovation

Who monitors the monitoring systems?

Adrian Cockcroft

APRIL 18, 2018

In reality, in any non-trivial installation, there are multiple tools collecting, storing and displaying overlapping sets of metrics from many types of systems and different levels of abstraction. This is true for CPU, network, memory and storage, and also for bare metal, virtual machines, containers, processes, functions and threads.

Monitoring

Monitoring Systems Virtualization Metrics

Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

SEPTEMBER 8, 2020

For each route we migrated, we wanted to make sure we were not introducing any regressions: either in the form of missing (or worse, wrong) data, or by increasing the latency of each endpoint. Being able to canary a new route let us verify latency and error rates were within acceptable limits.

Latency

Latency Cache Java Traffic

Dynamic Content Vs. Static Content: What Are the Main Differences

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution.

Cache

Cache Social Media Website Performance Website

What is cloud migration?

Dynatrace

SEPTEMBER 30, 2021

Cloud migration is the process of transferring some or all your data, software, and operations to a cloud-based computing environment that offers unlimited scale and high availability. A key step in digital transformation is migrating from traditional on-prem IT processes to adopting cloud services. What is cloud migration?

Cloud

Cloud Traffic Best Practices Strategy

SRE Incident Management: Overview, Techniques, and Tools

Dotcom-Montior

DECEMBER 8, 2021

Systems, web applications, servers, devices, etc., SREs and DevOps teams can use these incidents to build back better and improve their systems and services. Now that we have talked about what an incident is, incident management is the process by which teams resolve these events and bring systems and services back to normal operation.

Social Media

Social Media Monitoring Latency DevOps

Improving the Cloud - More Efficient Queuing with SQS - All Things.

All Things Distributed

NOVEMBER 8, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Improving the Cloud - More Efficient Queuing with SQS. For example, AWS customers use SQS for asynchronous communication pipelines, buffer queues for databases, asynchronous work queues, and moving latency out of highly responsive requests paths.

Efficiency

Efficiency Cloud Games Scalability

MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

SEPTEMBER 1, 2023

Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. Let’s explore these benefits in more detail.

Tuning

Tuning Database Performance Hardware

Dynamic Content Vs. Static Content: What Are the Main Differences

IO River

NOVEMBER 2, 2023

These are unchanging entities, served straight off the server, pre-generated, and devoid of server-side processing. They cache static content and enable lightning-fast delivery around the globe.This symbiosis reduces server load, boosts loading times, and ensures efficient content distribution.

Cache

Cache Social Media Website Performance Website

How digital experience monitoring helps deliver business observability

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). Endpoint monitoring (EM). Endpoints can be physical (i.e.,

Monitoring

Monitoring Social Media IoT Metrics

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support…

How to Optimize CPU Performance Through Isolation and System Tuning

Trending Sources

Supporting Diverse ML Systems at Netflix

Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Edge Computing Orchestration in IoT: Coordinating Distributed Workloads

Managing risk for financial services: The secret to visibility and control during times of volatility

Crucial Redis Monitoring Metrics You Must Watch

API Design Principles for Optimal Performance and Scalability

What are quality gates? How to use quality gates to deliver better software at speed and scale

Low Overhead Continuous Contextual Production Profiling

Implementing AWS well-architected pillars with automated workflows

Enhancing Kubernetes cluster management key to platform engineering success

Dynatrace accelerates business transformation with new AI observability solution

Artificial Intelligence in Cloud Computing

Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

Orbital edge computing: nano satellite constellations as a new class of computer system

Site reliability engineering: 5 things you need to know

Plan Your Multi Cloud Strategy

What is ITOps? Why IT operations is more crucial than ever in a multicloud world

Site reliability engineering: 5 things to you need to know

What is AWS Lambda?

MongoDB Rollback: How to Minimize Data Loss

In-Stream Big Data Processing

Mastering MongoDB® Timeout Settings

Building Netflix’s Distributed Tracing Infrastructure

Predictive CPU isolation of containers at Netflix

Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Cluster Diagnostics: Troubleshoot Cluster Issues Using Only SQL Queries

MySQL Key Performance Indicators (KPI) With PMM

Best Practices for a Seamless MongoDB Upgrade

What is a Distributed Storage System

File systems unfit as distributed storage backends: lessons from ten years of Ceph evolution

Seamless offloading of web app computations from mobile device to edge clouds via HTML5 Web Worker migration

USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Rebuilding Netflix Video Processing Pipeline with Microservices

Who monitors the monitoring systems?

Seamlessly Swapping the API backend of the Netflix Android app

Dynamic Content Vs. Static Content: What Are the Main Differences

What is cloud migration?

SRE Incident Management: Overview, Techniques, and Tools

Improving the Cloud - More Efficient Queuing with SQS - All Things.

MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Dynamic Content Vs. Static Content: What Are the Main Differences

How digital experience monitoring helps deliver business observability

Stay Connected