The Morning Paper

AUGUST 29, 2019

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., If you’re moving an OLAP workload to the cloud (AWS in the context of this paper), what DBMS setup should you go with? It is advantageous in the cloud to shut down compute resources when they are not being used, but there is then a query latency cost.

Architecture 76

Architecture Cloud Storage Serverless 76

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. ” According to Google, “SRE is what you get when you treat operations as a software problem.” Solving for SR.

Engineering 250

Engineering DevOps Government Latency 250

High Scalability

JANUARY 11, 2022

Architecture. When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. This will not only reduce the overall latency in displaying the user-feeds to users but will also prevent re-computation of user-feeds. Sending and receiving messages from other users.

Design 334

Design Media Storage Logistics 334

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. Dynatrace news. What is AWS Lambda? The Amazon Web Services ecosystem.

Lambda 176

Lambda AWS Serverless Hardware 176

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post.

Latency 213

Latency Traffic Transportation Cloud 213

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. ” According to Google, “SRE is what you get when you treat operations as a software problem.” Solving for SR.

Engineering 170

Engineering DevOps Government Latency 170

Dynatrace

JULY 18, 2023

This is especially crucial in microservice architectures, where the number of components can be overwhelming. Dedicated configuration files are used to create teams and maintain relevant information, such as responsibilities and contact details, in a scalable and automated way.

Best Practices 183

Best Practices Code Infrastructure Latency 183

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. A combination of these mechanisms may be necessary to tackle challenges arising from heterogeneous memory systems and NUMA architectures. even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers.

Latency 52

Latency Hardware Cache Architecture 52

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

All Things Distributed

NOVEMBER 26, 2013

About 5 years ago, I introduced you to AWS Availability Zones, which are distinct locations within a Region that are engineered to be insulated from failures in other Availability Zones and provide inexpensive, low latency network connectivity to other Availability Zones in the same region.

Cloud 145

Cloud AWS Traffic Latency 145

High Scalability

MARCH 1, 2019

It's HighScalability time: 10 years of AWS architecture increasing simplicity or increasing complexity? Know anyone who needs cloud? I wrote Explain the Cloud Like I'm 10 just for them. It was made possible by using a low latency of 0.1 seconds, the lower the latency, the more responsive the robot. So much more.

Internet 33

Internet Internet Scalability Blockchain 33

Dotcom-Montior

NOVEMBER 11, 2020

those resources now belong to cloud providers, such as AWS Lambda, Google Cloud Platform, Microsoft Azure, and others. In serverless architecture, when applications are developed, they are typically composed of many different services. Other benefits to serverless architecture include the following: Cost. Scalability.

Serverless 57

Serverless Monitoring Lambda Latency 57

All Things Distributed

NOVEMBER 8, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Improving the Cloud - More Efficient Queuing with SQS. The Amazon Simple Queue Service (SQS) is a highly scalable, reliable and elastic queuing service that just works. Simple Queue Service (SQS) is very useful, easy to use, scalable and reliable.

Efficiency 104

Efficiency Cloud Games Scalability 104

All Things Distributed

SEPTEMBER 25, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud â?? Being able to get consistent performance from the database tier has a huge impact on the application architecture. s architecture. All Things Distributed. Provisioned IOPS for Amazon RDS. Comments (). Reducing Complexity.

Cloud 117

Cloud AWS Storage Database 117

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - Cluster Compute Instances for Amazon EC2. Today, Amazon Web Services took very an important step in unlocking the advantages of cloud computing for a very important application area. Expanding the Cloud - The AWS Storage Gateway.

Cloud 118

Cloud AWS Automotive Latency 118

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. This architecture does not apply computing resources to track the myriad data sources sending telemetry and continuously look for issues and opportunities that need immediate responses.

IoT 78

IoT Analytics Big Data Architecture 78

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud with DNS - Introducing Amazon Route 53. Often these namespaces are hierarchical in nature such that it becomes easier to manage them and to decentralize control, which makes the system more scalable. All Things Distributed.

Cloud 117

Cloud Internet Internet AWS 117

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

Testsigma

AUGUST 24, 2020

Maintaining test data in a central repository and then accessing it from different test environments may ease this problem but may introduce other issues like network latency in tests. Scalability Issues: Not all testing frameworks/tools may be suitable for scaling purposes. Also, if you use a tool hosted on the cloud-like Testsigma.

Testing 69

Testing Open Source Scalability Latency 69

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. can enhance Redis by handling management tasks, backups, and scalability, facilitating global reach and easy cloud integration for global businesses.

Cache 130

Cache Storage Scalability Architecture 130

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. As mentioned before, most of data pipelines are not stateless which means scalability is not given a thing.

Latency 63

Latency Analytics Scalability Engineering 63

O'Reilly Software

JUNE 12, 2018

In fact, before we even had the word microservices in our lexicon, back when it was just good old-fashioned service-oriented architecture, we were talking about data: how to access it, where it lives, who “owns” it. The advent of the cloud was a huge boon to the work we were doing, as the improved automation made us even more productive.

Database 72

Database Cache Architecture Latency 72

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

ScaleOut Software

AUGUST 18, 2018

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. The higher-level digital twins continue to run in the cloud or on-premises – wherever the required computing resources are located.

IoT 45

IoT Ecommerce Latency Analytics 45

VoltDB

JUNE 1, 2017

Private Clouds made of commodity hardware are perceived as the logical solution to this problem. In this case, what’s needed from a private cloud is lots of lightweight copies of what a production environment looks like, with heavy sharing of physical hardware. Latency Optimizers” – need support for very large federated deployments.

Hardware 56

Hardware Latency Virtualization Cloud 56

ScaleOut Software

AUGUST 18, 2018

This minimizes event-handling latency and enables better management of local operations, while still providing strategic analysis and control by remote (cloud-based or on-premises) IoT applications. The higher-level digital twins continue to run in the cloud or on-premises – wherever the required computing resources are located.

IoT 40

IoT Ecommerce Latency Analytics 40

All Things Distributed

NOVEMBER 19, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Here are some the links I shared this week on twitter and facebook : Cloud Computing. Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures.

AWS 67

AWS Cloud Benchmarking Storage 67

VoltDB

JUNE 1, 2017

Private Clouds made of commodity hardware are perceived as the logical solution to this problem. In this case, what’s needed from a private cloud is lots of lightweight copies of what a production environment looks like, with heavy sharing of physical hardware. Latency Optimizers” – need support for very large federated deployments.

Hardware 40

Hardware Latency Virtualization Cloud 40

Dynatrace

MAY 13, 2022

Because of its scalability and distributed architecture, thousands of companies trust it to run their cloud and hybrid-based workloads at high availability without compromising performance. You can also quickly scale out the capacity of your existing on-premises or cloud self-hosted Apache Cassandra clusters.

Azure 232

Azure Latency Metrics Infrastructure 232

InfoQ

AUGUST 10, 2020

This reduced median latency and data transfer by more than 30%, Dropbox engineers Rishabh Jain and Daniel Reiter Horn maintain. After analyzing the performance of several common lossless compression algorithms, Dropbox engineers modified slightly Google's Brotli encoder to improve their engine sync performance. By Sergio De Simone.

Performance 67

Performance Latency Google Engineering 67

The Netflix TechBlog

JANUARY 10, 2024

This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case.

Processing 229

Processing Media Latency Innovation 229

Percona

NOVEMBER 9, 2023

You may already be using it daily and find it makes running applications in the cloud much more manageable. But for those who are not so familiar, in this post, we will discuss how Kubernetes has emerged as the unsung hero in an industry where agility and scalability are critical success factors. have adopted Kubernetes.

Efficiency 99

Efficiency Cloud Healthcare Open Source 99

High Scalability

JULY 20, 2018

And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10. That’s mapping applications to the specific architectural choices. It would mean a great deal to me. They'll love you even more.

Internet 121

Internet Internet Scalability Automotive 121

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0

Architecture 52

Architecture Latency Benchmarking AWS 52

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Abhishek Tiwari

DECEMBER 27, 2017

portability between cloud and on-premises. Under the hood, the BlueData used several enhancements to boosts the I/O performance and scalability of container-based clusters. For instance, scatter/gather pattern can be used to implement a MapReduce like batch processing architecture on top of Kubernetes. Native frameworks.

Big Data 63

Big Data Storage Benchmarking Hardware 63

The Netflix TechBlog

NOVEMBER 3, 2022

by Tomasz Bak and Fabio Kung Introduction Titus is the Netflix cloud container runtime that runs and manages containers at scale. The original assumptions and architectural choices were no longer viable. Overview The figure below depicts a simplified high-level architecture of a single Titus cluster (a.k.a

Cache 224

Cache Latency Traffic Systems 224