IO River

NOVEMBER 2, 2023

CDNs cache content on edge servers distributed globally, reducing the distance between users and the content they want.‍CDNs use load-balancing techniques to distribute incoming traffic across multiple servers called Points of Presence (PoPs) which distribute content closer to end-users and improve overall performance.

Architecture 52

Architecture Cache Performance Latency 52

The Netflix TechBlog

MARCH 7, 2024

Since its inception , Metaflow has been designed to provide a human-friendly API for building data and ML (and today AI) applications and deploying them in our production infrastructure frictionlessly. Occasionally, these use cases involve terabytes of data, so we have to pay attention to performance.

Systems 226

Systems Media Cache Open Source 226

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 246

AWS Efficiency Azure Cloud 246

Dynatrace

MARCH 16, 2023

In the 2023 Perform session “SLOs done right: A practitioners guide,” Michael Cabrera, SRE lead at Vivint, and Andreas Grabner, DevSecOps activist at Dynatrace, break down the state of SLOs and discuss how teams can adopt successful SLOs, avoid less-than-ideal objectives, and ultimately build better SLOs.

DevOps 214

DevOps Latency Metrics Traffic 214

IO River

NOVEMBER 2, 2023

Five Nines availability or 99.999%, also referred to as "the gold standard" significantly reduces downtime (5.26 When an edge server goes down, end users in the affected region may experience an increase in latency for that specific location. Performance‍The number and distribution of PoPs play a crucial role in performance.

Architecture 52

Architecture Cache Performance Latency 52

The Netflix TechBlog

MARCH 10, 2023

Production assets operations are performed in parallel with older data reprocessing without any service downtime. This feature support required a significant update in the data table design (which includes new tables and updating existing table columns). Some of the common supported data reprocessing use cases are listed below.

Media 237

Media Traffic Processing Design 237

Scalegrid

JANUARY 8, 2024

By analyzing real-time data, AI-based models can: Adjust the allocation of resources in response to demand Boost business performance Reduce unnecessary expenditures Lead to significant cost savings Improve scalability Operational Efficiency through Automation Automation is a significant way AI enhances cloud operations.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Scalegrid

MARCH 22, 2024

It focuses on aligning organizational needs with cloud services, balancing performance and cost, and ensuring compliance, security, and effective cost management. They can also bolster uptime and limit latency issues or potential downtimes. Pick combinations that are not just affordable but also high-performing.

Strategy 130

Strategy Cloud Government Innovation 130

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. As it turns out, for the large majority of Netflix use cases, its performance is far from optimal.

Cache 251

Cache Latency Airlines Logistics 251

The Netflix TechBlog

AUGUST 30, 2021

For example, when running tests, the state of the device will change from “available for testing” to “in test.” Build a Spring @Configuration class that autowires the KafkaProperties bean injected by the Netflix Spring runtime and, using the Kafka settings available from that bean, construct an Alpakka-Kafka ConsumerSettings bean.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

FEBRUARY 2, 2022

This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. service availability with <50ms latency for an application with no revenue impact. To avoid this, start the SLO discussion early in the design process. But there are SLO pitfalls.

DevOps 196

DevOps Metrics Best Practices Latency 196

Dynatrace

DECEMBER 15, 2022

ITOps refers to the process of acquiring, designing, deploying, configuring, and maintaining equipment and services that support an organization’s desired business outcomes. The primary goal of ITOps is to provide a high-performing, consistent IT environment. Performance. What does IT operations do?

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

DECEMBER 2, 2021

SLOs, together with service-level indicators (SLIs), deliver the performance promised in service-level agreements (SLAs) and other business level objectives (BLOs) while staying within error budgets. In layman’s terms, SLOs represent the performance or health of a service. But what are SLOs? What are error budgets?

Metrics 191

Metrics Best Practices DevOps Infrastructure 191

SQL Performance

FEBRUARY 26, 2020

Azure SQL Database Managed Instance became generally available in late 2018. Managed Instance provides two tiers for performance. The General Purpose tier is designed for applications with typical performance and I/O latency requirements and provides built-in HA. One size does not always fit all. GB per vCore.

Azure 63

Azure Performance Storage Latency 63

CSS Wizardry

MAY 19, 2020

With more standardised FOUT/FOIT behaviour from browser vendors, to the newer font-display specification, performance—and therefore the user—seems to have been finally been put front-and-centre. On this site, in which performance is the only name of the game, I forgo web fonts entirely, opting instead to make use of the visitor’s system font.

Google 364

Google Media Latency Metrics 364

Dynatrace

APRIL 5, 2021

Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. The function itself performs a small unit of work and Lambda charges subscribers by the millisecond. Optimizing Lambda for performance. AWS continues to improve how it handles latency issues.

Lambda 180

Lambda AWS Serverless Hardware 180

CSS Wizardry

MAY 31, 2019

Every new origin we need to visit needs a connection opening, and that can be very costly: DNS resolution, TCP handshakes, and TLS negotiation all add up, and the story gets worse the higher the latency of the connection is. On a slower, higher-latency connection, the story is much, mush worse. All completely avoidable. to just 3.6s.

Cache 274

Cache Latency Infrastructure Website 274

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. This meant that data that was static (e.g.

Latency 233

Latency Cache Java Traffic 233

Dynatrace

APRIL 26, 2022

Understanding why a user is experiencing transactional or performance issues enables organizations to achieve greater observability that goes beyond metrics, traces and logs. Digital experience monitoring (DEM) allows an organization to optimize customer experiences by taking into account the context surrounding digital experience metrics.

Monitoring 203

Monitoring Social Media IoT Metrics 203

cdemi

DECEMBER 4, 2016

If the service is subjected to intermittent heavy loads, it can cause performance or reliability issues. Maximizing Availability : Delays or Downtime of the service does not affect the application generating the messages. Control Costs : You don't have to design your service to meet peak load, but rather average load.

Design 47

Design Azure Scalability Latency 47

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. CXL-based disaggregated memory provides a new opportunity with two orders of magnitude better performance than RDMA (as illustrated in Figure 2).

Latency 52

Latency Hardware Cache Architecture 52

The Netflix TechBlog

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

December 2 1pm-2pm CMP 326-R Capacity Management Made Easy with Amazon EC2 Auto Scaling Vadim Filanovsky , Senior Performance Engineer & Anoop Kapoor, AWS Abstract :Amazon EC2 Auto Scaling offers a hands-free capacity management experience to help customers maintain a healthy fleet, improve application availability, and reduce costs.

AWS 100

AWS Entertainment Open Source Benchmarking 100

InfoQ

JANUARY 29, 2024

RevenueCat extensively uses caching to improve the availability and performance of its product API while ensuring consistency. The company shared its techniques to deliver the platform, which can handle over 1.2 billion daily API requests. By Rafal Gancarz

Cache 106

Cache Open Source Availability Performance 106

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. Improved performance and availability. The third big advantage of cloud migration is performance and availability. Read eBook now!

Cloud 165

Cloud Traffic Best Practices Strategy 165

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 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. in the cloud).

Mobile 104

Mobile Cloud Latency Games 104

The Morning Paper

OCTOBER 6, 2019

Model performance is not the same as business performance. Prediction serving latency matters. There is a lot of rich information available regarding accommodations, which can be overwhelming for users. Lesson 2: model performance is not the same as business performance. Get early feedback on model quality.

Latency 102

Latency Metrics Cache Design 102

Percona

MAY 2, 2023

Since your dataset is 100 GB and you have 500 GB of RAM, you can allocate a significant portion of the available memory to the InnoDB buffer pool. A commonly recommended value for the buffer pool size is between 50% to 75% of the available memory. 16) and monitoring the server’s performance. The answer could be better.

Social Media 122

Social Media Database Servers Cache 122

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Finally, we show that Seer can identify application level design bugs, and provide insights on how to better architect microservices to achieve predictable performance. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

The Morning Paper

JUNE 13, 2019

As we saw with the SOAP paper last time out, even with a fixed model variant and hardware there are a lot of different ways to map a training workload over the available hardware. “ For instance, Facebook applications issue tens-of-trillions of inference queries per day with varying performance, accuracy, and cost constraints.”

Hardware 58

Hardware Latency Serverless Energy 58

The Netflix TechBlog

NOVEMBER 9, 2022

At Netflix, we periodically reevaluate our workloads to optimize utilization of available capacity. 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. let’s call it GS2?—?to

Hardware 363

Hardware Cache Performance Latency 363

All Things Distributed

APRIL 17, 2013

While DynamoDB already allows you to perform low-latency queries based on your tableâ??s s primary key, even at tremendous scale, LSI will now give you the ability to perform fast queries against other attributes (or columns) in your table. s scalability, availability, resilience, low cost and minimal operational overhead.

Cloud 114

Cloud Latency Games Scalability 114

Smashing Magazine

NOVEMBER 8, 2021

As developers, we rightfully obsess about the customer experience, relentlessly working to squeeze every millisecond out of the critical rendering path, optimize input latency, and eliminate jank. We work with millions of merchants, and as many companies, we obsess about storefront performance. Ilya Grigorik. 2021-11-08T14:30:00+00:00.

Cache 135

Cache Best Practices Strategy Servers 135

Dynatrace

JUNE 25, 2020

Dynatrace Managed is intrinsically highly available as it stores three copies of all events, user sessions, and metrics across its cluster nodes. The network latency between cluster nodes should be around 10 ms or less. Turnkey high availability across globally distributed data centers. Dynatrace news.

Availability 247

Availability Hardware Latency Traffic 247

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. From its inception, the design philosophy behind ScaleOut StateServer has been to simultaneously maximize both performance and ease of use.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. From its inception, the design philosophy behind ScaleOut StateServer has been to simultaneously maximize both performance and ease of use.

Analytics 52

Analytics Airlines Cache Scalability 52