All Things Distributed

JUNE 7, 2017

Unlocking the value of data is a primary goal that AWS helps our customers to pursue. This is because data gets more valuable when it can be processed together with other data. This is because data gets more valuable when it can be processed together with other data. Law of the Land. and deployed down from the cloud.

AWS 118

AWS IoT Lambda Storage 118

The Netflix TechBlog

OCTOBER 19, 2020

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. The process started with manual pull of member account information that was part of the session.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

The Netflix TechBlog

NOVEMBER 3, 2022

We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe. cell): Titus Job Coordinator is a leader elected process managing the active state of the system.

Cache 224

Cache Latency Traffic Systems 224

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? Amazon Aurora is a proprietary, cloud-native, fully managed relational database service developed by Amazon Web Services (AWS).

AWS 52

AWS Database Serverless Storage 52

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. We will examine each of these elements in more detail. A pivotal element of any hybrid cloud strategy is adhering to regulatory requirements and compliance standards specific to an industry.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 243

Latency Storage Big Data Tuning 243

Scalegrid

JANUARY 12, 2024

In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. Storage is a critical aspect to consider when working with cloud workloads. There are numerous choices available for deploying these workloads on various cloud provider platforms that offer unique capabilities.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Percona

NOVEMBER 3, 2023

About the cluster Following a step-by-step process, the objective is to create a four-node cluster consisting of: PostgreSQL version 15 Citus extension (I’ll be using version 11, but there are newer ones available.) psql pgbench <<_eof1_ qecho adding node citus3.

Database 107

Database Benchmarking Latency C++ 107

The Netflix TechBlog

APRIL 26, 2022

The first version of our logger library optimized for storage by deduplicating facts and optimized for network i/o using different compression methods for each fact. Since we were optimizing at the logging level for storage and performance, we had less data and metadata to play with to optimize the query performance.

Storage 187

Storage Design Scalability Latency 187

All Things Distributed

NOVEMBER 13, 2014

When AWS launched, it changed how developers thought about IT services: What used to take weeks or months of purchasing and provisioning turned into minutes with Amazon EC2. Capital-intensive storage solutions became as simple as PUTting and GETting objects in Amazon S3. Our answer is a new compute service called AWS Lambda.

Lambda 136

Lambda AWS Cloud Scalability 136

Scalegrid

JANUARY 8, 2024

Key Takeaways AI integration in cloud computing increases operational efficiency by automating processes, optimizing resource allocation, and improving scalability, leading to cost savings and allowing IT teams to concentrate on strategic initiatives. Discover how AI is reshaping the cloud and what this means for the future of technology.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

All Things Distributed

OCTOBER 16, 2019

Because these IoT devices are powered by microprocessors or microcontrollers that have limited processing power and memory, they often rely heavily on AWS and the cloud for processing, analytics, storage, and machine learning. In other words, process the data closer to where it's created.

IoT 126

IoT Healthcare Internet Internet 126

The Morning Paper

FEBRUARY 6, 2020

On the Cloudburst design teams’ wish list: A running function’s ‘hot’ data should be kept physically nearby for low-latency access. The canononical cloud platform architecture decouples storage and compute services so that each can be scaled and operated independently, i.e., they are disaggregated.

Lambda 98

Lambda Serverless Cache Latency 98

The Netflix TechBlog

FEBRUARY 9, 2021

Server-generated assets, since client-side generation would require the retrieval of many individual images, which would increase latency and time-to-render. To reduce latency, assets should be generated in an offline fashion and not in real time. This requires an asset storage solution. First, the fields can be coded by hand.

Engineering 165

Engineering Storage Latency Entertainment 165

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

The Netflix TechBlog

NOVEMBER 22, 2019

by Shefali Vyas Dalal AWS re:Invent is a couple weeks away and our engineers & leaders are thrilled to be in attendance yet again this year! To sustain this data growth at Netflix, it has deployed open-source software Ceph using AWS services to achieve the required SLOs of some of the post-production workflows.

AWS 37

AWS Entertainment Open Source Benchmarking 37

All Things Distributed

AUGUST 16, 2011

Expanding the Cloud - The AWS GovCloud (US) Region. Today AWS announced the launch of the AWS GovCloud (US) Region. The concept of regions gives AWS customers control over the placement of their resources and services. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems.

AWS 111

AWS Government Big Data Cloud 111

The Morning Paper

AUGUST 29, 2019

If you’re moving an OLAP workload to the cloud (AWS in the context of this paper), what DBMS setup should you go with? We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. Choosing a cloud DBMS: architectures and tradeoffs Tan et al.,

Architecture 76

Architecture Cloud Storage Serverless 76

High Scalability

JULY 20, 2018

jaybo_nomad : The Allen Institute for Brain Science is in the process of imaging 1 cubic mm of mouse visual cortex using TEM at a resolution of 4nm per pixel. That means multiple data indirections mean multiple cache misses. They are very expensive. This is where your performance goes.

Internet 121

Internet Internet Scalability Automotive 121

The Morning Paper

MARCH 3, 2020

It takes you through the thinking processes and engineering practices behind the design of a key part of the control plane for AWS Elastic Block Storage (EBS): the Physalia database that stores configuration information. For Physalia, and for AWS more generally, the guiding principle is minimise the blast radius.

Database 106

Database AWS Network Design 106

All Things Distributed

SEPTEMBER 25, 2012

Following the huge success of being able to provision a consistent, user-requested I/O rate for DynamoDB and Elastic Block Store (EBS), the AWS Database Services team has now released Provisioned IOPS, a new high performance storage option for the Amazon Relational Database Service (Amazon RDS). Provisioned IOPS storage in RDS.

Cloud 117

Cloud AWS Storage Database 117

Brendan Gregg

FEBRUARY 28, 2023

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

The Morning Paper

JUNE 23, 2019

Factor VI in the 12-factor app manifesto , “Execute the app as one or more stateless processes,” to be dropped and replaced with “Execute the app as one or more stateful processes.” session state that you want to survive an application process crash), and to keep the application server/services layer stateless.

Cache 79

Cache Latency Google Lambda 79

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52

Energy Metrics Cloud Operating System 52

Percona

APRIL 17, 2023

The CFQ works well for many general use cases but lacks latency guarantees. The deadline excels at latency-sensitive use cases ( like databases ), and noop is closer to no schedule at all. 25.84 - Total 21.04 zone_reclaim_mode In some OS versions, the vm.zone_reclaim_mode is enabled. 25.84 - Total 21.04

Best Practices 52

Best Practices Design Tuning Database 52

Percona

MAY 2, 2023

The speed of backup also depends on allocated IOPS and type of storage since lots of read/writes would be happening during this process. Back up anywhere – to the cloud (use any S3-compatible storage) or on-premise with a locally-mounted remote file system It allows you to choose which compression algorithms to use.

Best Practices 52

Best Practices Database Storage Servers 52

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

JULY 11, 2011

Spot Instances are ideal for use cases like web and data crawling, financial analysis, grid computing, media transcoding, scientific research, and batch processing. To get started using Spot or for more details visit the Amazon EC2 Spot Instance web page, the AWS developer blog , and the EC2 Release Notes. Contact Info. Werner Vogels.

AWS 85

AWS Storage Cloud Big Data 85

Adrian Cockcroft

APRIL 18, 2018

This is true for CPU, network, memory and storage, and also for bare metal, virtual machines, containers, processes, functions and threads. Summing up totals across processes or containers may not add up to the underlying host system or may add up to more than it should. I’ve seen problematic examples in the past.

Monitoring 40

Monitoring Systems Virtualization Metrics 40

Adrian Cockcroft

NOVEMBER 11, 2019

Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. Figure out how much delay is built into your observability system, it may be taking samples once a minute, processing them for a minute or two, then watching for several bad samples in a row before it triggers an alert.

Latency 52

Latency Engineering Systems Hardware 52

The Morning Paper

MAY 28, 2019

We don’t talk about energy as often as we probably should on this blog, but it’s certainly true that our data centres and various IT systems consume an awful lot of it. The goal is to produce a low-energy hardware classifier for embedded applications doing local processing of sensor data. Introducing race logic.

Energy 52

Energy Hardware Efficiency Architecture 52

Adrian Cockcroft

NOVEMBER 11, 2019

Staff should be familiar with recovery processes and the behavior of the system when it’s working hard to mitigate failures. Figure out how much delay is built into your observability system, it may be taking samples once a minute, processing them for a minute or two, then watching for several bad samples in a row before it triggers an alert.

Latency 53

Latency Engineering Systems Hardware 53

O'Reilly

NOVEMBER 12, 2019

Given that Amazon’s AWS Lambda functions are only five years old this November, anyone with more than three years of experience is a very early adopter. latency, startup, mocking, etc.) Serverless presents a conceptually simpler path to deploying software for those in development roles with no need to manage servers and storage.

Serverless 88

Serverless Architecture FinTech Infrastructure 88

Brendan Gregg

SEPTEMBER 5, 2017

There's also a ZFS send/recv code path that should try to use the TASK_INTERRUPTIBLE flag (as suggested by a coworker), to avoid a kernel hang (can't kill -9 the process). Here's some output from my zfsdist tool, in bcc/BPF, which measures ZFS latency as a histogram on Linux: # zfsdist. Tracing ZFS operation latency.

Virtualization 76

Virtualization AWS Engineering Hardware 76

Dynatrace

AUGUST 5, 2019

In this role, I am leading a global team that works closely with our strategic partners such as AWS, Microsoft, Google, Pivotal, Red Hat and others. Before starting any migration project, you must have a good overview of all your hosts, processes, services and technologies. Also accessible through the Smartscape API.

Cloud 31

Cloud Traffic Database Network 31

All Things Distributed

APRIL 9, 2015

The Amazon ML console and API provide data and model visualization tools, as well as wizards to guide you through the process of creating machine learning models, measuring their quality and fine-tuning the predictions to match your application requirements. Details on the AWS Blog. Details on the AWS Blog. for a while already.

Lambda 122

Lambda Cloud IoT AWS 122

All Things Distributed

MARCH 11, 2016

The epoch of AWS is the launch of Amazon S3 on March 14, 2006, now almost 10 years ago. Given that AWS is a pioneer in building and operating these services world-wide, these lessons have been of crucial importance to our business. AWS helps its customers do this too.

AWS 144

AWS Hardware Retail Virtualization 144