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

ACM Sigarch

MAY 31, 2023

There are three common mechanisms to access remote memory: modifying applications, modifying virtual memory, and hardware-level cache coherence support. even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers. About CXL hardware availability with academia.

Latency 52

Latency Hardware Cache Architecture 52

Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. Query plan analysis can also provide valuable insights.

Tuning 52

Tuning Database Performance Hardware 52

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

APRIL 16, 2020

Each of these models is suitable for production deployments and high traffic applications, and are available for all of our supported databases, including MySQL , PostgreSQL , Redis™ and MongoDB® database ( Greenplum® database coming soon). Here are the databases and cloud providers supported through each model: Supported Databases.

Cloud 242

Cloud Azure AWS Database 242

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. energy consumption).

Energy 130

Energy Latency Performance Network 130

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. The following figure highlights how just one of these variables, batch size, impacts throughput and latency on ResNet50.

Hardware 58

Hardware Latency Serverless Energy 58

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. Near-zero RPO and RTO—monitoring continues seamlessly and without data loss in failover scenarios.

Availability 254

Availability Hardware Latency Traffic 254

CSS Wizardry

OCTOBER 27, 2018

To make things worse, they’re also usually unsure whose responsibility performance measuring and monitoring is. You’re out on the world wide web—you have no idea who is turning up to the site, what their context is, what hardware, software, or infrastructure they’re using, or anything. How: RUM tooling, analytics, monitoring.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

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 123

Social Media Database Servers Cache 123

Dotcom-Montior

OCTOBER 6, 2021

trying to reduce the amount of manual work and ensuring all the components (infrastructure/hardware, middleware, software, etc.) Availability. Monitoring. As part of the responsibility of an SRE, monitoring and observability are a key component of their duties. What are Some Common SRE Responsibilities? Performance.

Engineering 67

Engineering DevOps Monitoring Google 67

Dotcom-Montior

DECEMBER 8, 2021

Software services still require physical devices and hardware for them to function. This helps to improve efficiency and ensures that information is consistent, up-to-date, and available. Incident identification begins with some form of monitoring or alerting mechanism. Asset Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

Smashing Magazine

AUGUST 3, 2021

Lots can go wrong: a network request fails, a third-party library breaks, a JavaScript feature is unsupported (assuming JavaScript is even available), a CDN goes down, a user behaves unexpectedly (they double-click a submit button), the list goes on. Both examples check something is available before using it. More after jump!

Network 145

Network Engineering Availability Monitoring 145

Brendan Gregg

AUGUST 18, 2019

For example, iostat(1), or a monitoring agent, may tell you your average disk latency, but not the distribution of this latency. This example instrumented one of many thousands of available events. For smaller environments, it can be of more use helping eliminate latency outliers. Block I/O latency as a histogram.

Latency 68

Latency C++ Cache Programming 68

Dynatrace

SEPTEMBER 29, 2020

As of September 2020, we run 51 clusters on 1100 EC2 instances distributed across six AWS Regions ensuring that all our users can leverage the Dynatrace Software Intelligence Platform to monitor their hybrid-multi cloud environments. Since we moved to AWS in May 2014 we have had an availability of 99.95%!

Infrastructure 184

Infrastructure Cloud Monitoring AWS 184

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. on end-to-end latency) and less than 0.15% on throughput.

Big Data 45

Big Data Cloud Performance Hardware 45

Abhishek Tiwari

JULY 12, 2018

Data Pipeline A data pipeline is a software that ingests data from multiple sources, transforms it and finally makes it available to internal or external products. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. In the days before highly performant SSDs and persistent memory, database benchmarks had a significant challenge in comparing performance due to the available I/O performance.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Abhishek Tiwari

DECEMBER 27, 2017

support for logging, monitoring, and observability. Kubernetes has all necessary primitives available to make it happen. Using default scheduler's node affinity feature you can ensure that certain pods only schedule on nodes with specialized hardware like GPU, memory-optimised, I/O optimised etc.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. Every time the trigger executes, the function runs on an available resource. This creates latency when they need to restart.

Serverless 245

Serverless Efficiency Lambda Azure 245

Adrian Cockcroft

MARCH 17, 2020

The opening paragraph above is the same as my previous discussion focused on hardware, software and operational failure modes , but we are now in the middle of a pandemic, so I’m going to adapt the discussion of hazards and failure modes to our current situation. They could spend too long deciding what to do. What Happens Next?

Healthcare 52

Healthcare Government Airlines Systems 52

KeyCDN

AUGUST 15, 2019

Unlike spike tests, scalability tests involve gradually increasing workload while monitoring the effects on performance. Wait time: Sometimes called average latency, wait time refers the amount of time a request spends in a queue before it gets processed. Many testing tools let you monitor user behavior in great detail.

Testing Tools 55

Testing Tools Best Practices Performance Testing Testing 55

Dotcom-Montior

NOVEMBER 24, 2021

Setting up and monitoring these systems was pretty easy compared to today’s standards. There were no dynamic web applications or complex user scenarios to have to monitor. monitoring distributed systems becomes much more difficult to carry out and manage. Onto the next project. Gone are the days of monolithic architecture.

Systems 74

Systems Monitoring Hardware Network 74

Dotcom-Montior

MAY 12, 2020

Website and Web Application Monitoring. Web monitoring is a comprehensive term that describes the activity of testing a website or web application for its availability and performance. HTTP Monitoring. HTTP monitoring allows you to test availability and performance from around the world. DNS resolving error.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. What is the difference between monitoring and observability? Is observability really monitoring by another name? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Percona

NOVEMBER 9, 2023

Maintaining high availability Kubernetes also makes it easier for applications to scale in response to changing workloads to maintain high availability. Your workloads, encapsulated in containers, can be deployed freely across different clouds or your own hardware. have adopted Kubernetes.

Efficiency 104

Efficiency Cloud Healthcare Open Source 104

SQL Performance

APRIL 27, 2020

It is built as part of the platform-as-a-service environment which provides customers with additional monitoring and security for the product. Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. New Hardware Configuration for Provisioned Compute Tier. GB per vCore.

Azure 55

Azure Database Serverless Hardware 55

The Morning Paper

MAY 19, 2019

Last week we learned about the [increased tail-latency sensitivity of microservices based applications with high RPC fan-outs. Seer uses estimates of queue depths to mitigate latency spikes on the order of 10-100ms, in conjunction with a cluster manager. So what we have here is a glimpse of the limits for low-latency RPCs under load.

Latency 80

Latency Hardware Network Architecture 80

All Things Distributed

JULY 14, 2015

In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. At launch, an item’s change record is available in the stream for 24 hours after it is created. DynamoDB Cross-region Replication.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

JULY 20, 2015

A cluster is just a pool of compute resources available to a customer’s applications. The agent allows Amazon ECS to communicate with the EC2 instances in the cluster to start, stop, and monitor containers as requested by a user or scheduler. We encourage contributions and feedback is most welcome. How we manage state.

Latency 166

Latency Architecture AWS Open Source 166

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. What is Amazon RDS?

AWS 52

AWS Database Serverless Storage 52

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40

Percona

APRIL 17, 2023

Note that the intent of tuning the settings is not exclusively about improving performance but also enhancing the high availability and resilience of the MongoDB database. There is an issue with this, which causes the OS to swap even with memory available. The CFQ works well for many general use cases but lacks latency guarantees.

Best Practices 52

Best Practices Design Tuning Database 52

The Morning Paper

MAY 21, 2019

This boils down to a single digit µs latency toleration in the tail for far memory, and in addition to security and privacy concerns, rules out remote memory solutions. Zswap is readily available and runs as a swap device in the Linux kernel. Google use zswap to implement their far memory tier.

Software 78

Software Software Google Hardware 78

Highly Scalable

SEPTEMBER 18, 2012

Historically, NoSQL paid a lot of attention to tradeoffs between consistency, fault-tolerance and performance to serve geographically distributed systems, low-latency or highly available applications. A database should accommodate itself to different data distributions, cluster topologies and hardware configurations.

Database 213

Database Latency C++ Scalability 213

The Morning Paper

JULY 4, 2019

In all cases we need to be able to carefully monitor the impact on the system, and back out if things start going badly wrong. degraded hardware, transient networking problem) or, more often, because of some change deployed by Netflix engineers that did not have the intended effect. Defining and running experiments.

Latency 77

Latency Engineering Metrics Traffic 77