Modernizing Computer Vision With Deep Neural Networks


As studied earlier, computer networks are one of the most popular and well-researched automation topics over the last many years. Network Compression. With the soaring demand for computing power and storage, it is challenging to deploy deep neural network applications.

Optimizing data warehouse storage

The Netflix TechBlog

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. Increase in storage space.


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How Do You Improve Network Agility?


Organizations are in search of improving network agility, but what exactly does this mean? Network agility is represented by the volume of change in the network over a period of time and is defined as the capability for software and hardware component’s to automatically configure and control itself in a complex networking ecosystem. However, organizations are still looking for ways to further improve network agility, but how do they get there?

AI-powered DNS request tracking extends infrastructure observability for high quality network traffic


To extend Dynatrace diagnostic visibility into network traffic, we’ve added out-of-the-box DNS request tracking to our infrastructure monitoring capabilities. Ensure high quality network traffic by tracking DNS requests out-of-the-box. Dynatrace news.

Checksums in Storage Systems and Why the Enterprise Should Care


It’s really scary knowing that such corruptions are happening in the memory of our computers and servers – that is before they even reach the network and storage portions of the stack. That data must then be safely transported over a network to the storage system where it is written to disk. Well, if you’re using one of the storage protocols that lack end-to-end checksums (e.g. performance storage database checksum data corruption data safety

Advancing Application Performance With NVMe Storage, Part 2


Normally, GPU nodes don't have much room for SSDs, which limits the opportunity to train very deep neural networks that need more data. For example, one well-respected vendor's standard solution is limited to 7.5TB of internal storage, and it can only scale to 30TB. big data performance data storage ssd nvme gpu ai ml

Building an elastic query engine on disaggregated storage

The Morning Paper

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. Snowflake is a data warehouse designed to overcome these limitations, and the fundamental mechanism by which it achieves this is the decoupling (disaggregation) of compute and storage.

Narrowing the gap between serverless and its state with storage functions

The Morning Paper

Narrowing the gap between serverless and its state with storage functions , Zhang et al., Shredder is " a low-latency multi-tenant cloud store that allows small units of computation to be performed directly within storage nodes. "

Using SQL Server’s SNITrace to Troubleshoot Networking Issues

SQL Server According to Bob

Using SQL Server’s SNITrace to Troubleshoot Networking Issues In the process of tracking down a few TCP 10054 issues (highlighted here: ​​ [link] ) I ​​ also ​​ used ​​ the ​​ SNITrace ​​ (SNI Trace) ​​ capabilities. Before diving into SNITrace ​​ let’s breakdown the ​​ network trace of a successful and failed login. Networking SNITrace TDS XEv

MySQL High Availability Framework Explained – Part III: Failover Scenarios

High Scalability

Scenario 3 – Network Partition – Network Connectivity Breaks Down Between Master and Slave Nodes. This is a classical problem in any distributed system where each node thinks the other nodes are down, while in reality, only the network communication between the nodes is broken. We assume that due to network issues, the cluster has partitioned into two groups – master in one group and 2 slaves in the other group, and we will denote this as [(M), (S1,S2)].

Expanding the Cloud - Amazon S3 Reduced Redundancy Storage.

All Things Distributed

Expanding the Cloud - Amazon S3 Reduced Redundancy Storage. Today a new storage option for Amazon S3 has been launched: Amazon S3 Reduced Redundancy Storage (RRS). This new storage option enables customers to reduce their costs by storing non-critical, reproducible data at lower levels of redundancy. This has been an option that customers have been asking us about for some time so we are really pleased to be able to offer this alternative storage option now.

What is Greenplum Database? Intro to the Big Data Database


High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure.

Expanding the Cloud ? Managing Cold Storage with Amazon Glacier

All Things Distributed

Managing Cold Storage with Amazon Glacier. With the introduction of Amazon Glacier , IT organizations now have a solution that removes the headaches of digital archiving and provides extremely low cost storage. Building and managing archive storage that needs to remain operational for decades if not centuries is a major challenge for most organizations. A Complete Storage Solution. storage that is directly accessible. All Things Distributed.

MezzFS?—?Mounting object storage in Netflix’s media processing platform

The Netflix TechBlog

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. That file is stored in our object storage service, which splits and encrypts the file into separate chunks, storing the chunks in Amazon S3. Our object storage service splits objects into many parts and stores them in S3.

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Uber Infrastructure in 2019: Improving Reliability, Driving Customer Satisfaction

Uber Engineering

Architecture General Engineering CPU Infrastructure Observability Productivity Reliability Search Infrastructure Storage Uber Eats Velocity

The Best Way to Host MySQL on Azure Cloud


Azure Virtual Networks. Azure makes this easy to setup through the use of a Virtual Network (VNET) which can be configured for your MySQL servers. With an Azure VNET for MySQL , you’re able to setup secure communications between your servers, the internet, and even your on-premise private cloud network. Additionally, you can manage your MySQL access control through Network Security Groups (NSG) rules without having to deal with IP whitelists.

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MySQL High Availability Framework Explained – Part II: Semisynchronous Replication


Simply put, in a MySQL semisynchronous replication configuration, the master commits transactions to the storage engine only after receiving acknowledgement from at least one of the slaves. Since we are operating with 2 slaves and the rpl_semi_sync_master_wait_for_slave_count is set to 1, we’ve noticed that at least one of the slaves does acknowledge within a reasonable amount of time and the master does not switch over to asynchronous mode during temporary network disruptions.

What is a Site Reliability Engineer (SRE)?


One minute an SRE might be provisioning storage in AWS, the next minute an SRE might have to talk to customers or go write some Python code for a new project.

What is hyperconverged infrastructure? Realizing the benefits of HCI


Therefore, they need an environment that offers scalable computing, storage, and networking. Hyperconverged infrastructure (HCI) is an IT architecture that combines servers, storage, and networking functions into a unified, software-centric platform to streamline resource management.

Dynatrace Kubernetes Observability for Persistent Volume Claims


For example, let’s say you have an idea for a new social network and decide to use Kubernetes as your container management platform. You quickly realize that it will take ages to fill up the overprovisioned database storage. Dynatrace news.

New AWS feature: Run your website from Amazon S3 - All Things.

All Things Distributed

Since a few days ago this weblog serves 100% of its content directly out of the Amazon Simple Storage Service (S3) without the need for a web server to be involved. I have used a bucket policy to make all documents world readable, but you could create one that restricts it to referrers, network address range, time of day, etc. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. All Things Distributed.

No Server Required - Jekyll & Amazon S3 - All Things Distributed

All Things Distributed

As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. Amazon S3 is much more than just storage; the network and distributed systems infrastructure to ensure that content can be served fast and at high rates without customers impacting each other, is amazing. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway.

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Expanding the Cloud - AWS Import/Export Support for Amazon EBS.

All Things Distributed

AWS Import/Export transfers data off of storage devices using Amazons high-speed internal network and bypassing the Internet. Amazon Import/Export is an important tool for customers to accelerate moving large amounts of data into the AWS storage systems. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems.

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Content Management Systems of the Future: Headless, JAMstack, ADN and Functions at the Edge

Abhishek Tiwari

Case-in-point, most enterprise CMS vendors lack robust full-site content delivery network (CDN) integration. A few months back, I was pulled into a scenario where a business has been working with a leading CMS vendor to roll-out a network of multi-regional websites. Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there. CMS Serverless Microservices Content Delivery Networks

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Building Resiliency With Effective Error Management


Errors could occur in any part of the system / or its ecosystem and there are different ways of handling these e.g. Datacenter - data center failure where the whole DC could become unavailable due to power failure, network connectivity failure, environmental catastrophe, etc.

Customer Conversations - How Intuit and Edmodo Innovate using.

All Things Distributed

From tax preparation to safe social networks, Amazon RDS brings new and innovative applications to the cloud. Intelligent Social network - Facilitate topical Q&A conversations among employees, customers and our most valued super contributors. Jack : Edmodo is the safe social network for education used by a network of over 6 million teachers and students worldwide that allows teachers to create and maintain their classroom communities. All Things Distributed.

Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail


The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Teams have introduced workarounds to reduce storage costs. Stop worrying about log data ingest and storage — start creating value instead.

Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step. It is worth pointing out that cloud processing is always subject to variable network conditions.

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The Performance Inequality Gap, 2021

Alex Russell

Thanks to progress in networks and browsers (but not devices), a more generous global budget cap has emerged for sites constructed the "modern" way: ~100KiB of HTML/CSS/fonts and ~300-350KiB of JS (compressed) is the new rule-of-thumb limit for at least the next year or two.

Dynatrace adds support for AWS Transit Gateway with VPC Flow Logs


This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. Dynatrace news.

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What is log management? How to tame distributed cloud system complexities


Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Dynatrace news. What is log management?

Getting answers from data starts with automated log acquisition, at any scale


Collecting logs that aren’t relevant to their business case creates noise, overloads congested networks, and slows down teams. It’s delivered in three parts: New log storage configuration is available in Dynatrace version 1.252 and requires OneAgent 1.243+.

Helping VFX studios pave a path to the cloud

The Netflix TechBlog

But it’s not easy: to pull this off, VFX studios need to build and operate serious technical infrastructure (compute, storage, networking, and software licensing), otherwise known as a “ render farm.” By: Peter Cioni (Netflix), Alex Schworer (Netflix), Mac Moore (Conductor Tech.),

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

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. Storage: don’t break the bank! by Maulik Pandey Our Team?—?

Dynatrace adds support for VPC Flow Logs to Kinesis Data Firehose


VPC Flow Logs is an Amazon service that enables IT pros to capture information about the IP traffic that traverses network interfaces in a virtual private cloud, or VPC. It can also understand the impact of network contribution to overall application and user health. Dynatrace news.

AWS's HPC leadership recognized by industry experts with HPCwire awards

All Things Distributed

On November 18, AWS won six HPCwire Readers' and Editors' Choice Awards at SC19, the International Conference for High Performance Computing, Networking, Storage, and Analysis

Amazon Cloudfront is Streaming Media 2010 Editor's pick - All.

All Things Distributed

Amazon Cloudfront is the Content Delivery Network (CDN) that is dead simple to use both from a technology and a business point of view. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems. Amazon Cloudfront is Streaming Media 2010 Editors pick. By Werner Vogels on 19 April 2010 03:02 AM. Permalink. Comments ().

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Dynatrace SaaS on Azure now Generally Available


Additional benefits of Dynatrace SaaS on Azure include: No infrastructure investment : Dynatrace manages the infrastructure for you, including automatic visibility, problem detection, and smart alerting across virtual networks, virtual infrastructure, and container orchestration.

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5 Steps to Accelerate your Cloud Migration with Dynatrace


While most of our cloud & platform partners have their own dependency analysis tooling, most of them focus on basic dependency detection based on network connection analysis between hosts. What is the network traffic going to be between services we migrate and those that have to stay in the current data center? Which hosts not to migrate because of too much network traffic? Optimize Query Performance and Data Storage Cost. Dynatrace news.

Top 10 Tips for Making the Spark + Alluxio Stack Blazing Fast


In addition, compute and storage are increasingly being separated causing larger latencies for queries. Alluxio is leveraged as compute-side virtual storage to improve performance. When data locality is achieved, Spark tasks can read in-Alluxio data from local Alluxio workers at memory speed (when ramdisk is configured) instead of transferring the data over the network.

Faster time to value with enhanced handling of OneAgent runtime data


Storage mount points in a system might be larger or smaller, local or remote, with high or low latency, and various speeds. Sometimes these locations landed on mount points which, due to capacity, availability, or access constraints, weren’t well suited for large runtime storage.

The Anna Key-Value Store Now Has 355x the Performance of DynamoDB for the Dollar

High Scalability

They've posted about Anna's new superpowers in Going Fast and Cheap: How We Made Anna Autoscale : Using Anna v0 as an in-memory storage engine, we set out to address the cloud storage problems described above. Each storage server collects statistics about the requests it serves, the data it stores, etc. When a tier is saturating compute or storage capacity, we add nodes to the cluster, and when resources are underutilized, they are deallocated to save cost.

Reducing Your Database Hosting Costs: DigitalOcean vs. AWS vs. Azure


Since database hosting is more dependent on memory (RAM) than storage, we are going to compare various instance sizes ranging from just 1GB of RAM up to 64GB of RAM so you can see how costs vary across different application workloads.

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