Dynatrace

SEPTEMBER 13, 2023

Because Google offers its own Google Cloud Architecture Framework and Microsoft its Azure Well-Architected Framework , organizations that use a combination of these platforms triple the challenge of integrating their performance frameworks into a cohesive strategy. SRG validates the status of the resiliency SLOs for the experiment period.

AWS 247

AWS Efficiency Azure Cloud 247

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . By transparently distributing stored objects across a cluster of servers (physical or virtual), it automatically scales performance for fast-growing workloads and maintains consistently low access latency. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Dynatrace

JULY 6, 2020

Azure Virtual Network Gateways. Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics. Azure DB for PostgreSQL.

Azure 148

Azure Cloud Big Data Virtualization 148

ACM Sigarch

MARCH 18, 2019

Analytic models—including simple ones like Amdahl’s Law —represent a third, often underused, evaluation method that can provide insight for both practice and research, albeit with less accuracy. How many buffers are needed to track pending requests as a function of needed bandwidth and expected latency? Answered in Part 2.).

Systems 60

Systems Latency Performance Analytics 60

ACM Sigarch

MARCH 25, 2019

Previously, Part 1 of these two blog posts provided our thesis that analytic models can complement measurement and simulations to give quick insight, show what is not possible, provide a double-check, and suggest future directions. How many buffers are needed to track pending requests as a function of needed bandwidth and expected latency?

Systems 53

Systems Latency Performance C++ 53

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. Processing latency is minimum If only you can infinitely scale your data pipeline, processing latency can be guaranteed to be minimum, but we know for sure that is not true.

Latency 63

Latency Analytics Scalability Engineering 63

Scalegrid

FEBRUARY 8, 2024

Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database. Durability Availability Fault tolerance These combined outcomes help minimize latency experienced by clients spread across different geographical regions.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

DECEMBER 21, 2023

With its widespread use in modern application architectures, understanding the ins and outs of Redis® monitoring is essential for any tech professional. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. Redis®, a powerful in-memory data store, is no exception.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

MARCH 14, 2024

The architecture usually integrates several private, public, and on-premises infrastructures. Key Components of Hybrid Cloud Infrastructure A hybrid cloud architecture usually merges a public Infrastructure-as-a-Service (IaaS) platform with private computing assets and incorporates tools to manage these combined environments.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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

Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. However, Redis, with its single-threaded architecture, may encounter bottlenecks with large numbers of concurrent connections.

Cache 130

Cache Storage Scalability Architecture 130

All Things Distributed

DECEMBER 5, 2010

The naming system that we are all most familiar with in the internet is the Domain Name System (DNS) that manages the naming of the many different entities in our global network; its most common use is to map a name to an IP address, but it also provides facilities for aliases, finding mail servers, managing security keys, and much more.

Cloud 117

Cloud Internet Internet AWS 117

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. In the previous section, we noted that many distributed query processing algorithms resemble message passing networks. Marz, “Big Data Lambda Architecture”.

Big Data 154

Big Data Processing Lambda Database 154

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. divide the input video into small chunks 2.

Processing 229

Processing Media Latency Innovation 229

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. Last but not least, the ability to auto-generate optimal neural networks (e.g.

Wireless 54

Wireless IoT Analytics Architecture 54

The Netflix TechBlog

SEPTEMBER 2, 2020

While this abundance of dashboards and information is by no means unique to Netflix, it certainly holds true within our microservices architecture. In one request hitting just ten services, there might be ten different analytics dashboards and ten different log stores. The downside is that we have so many dashboards.

Latency 296

Latency Transportation Engineering Traffic 296

Smashing Magazine

AUGUST 3, 2023

You need to beware that slow server response times can significantly increase TTFB, often due to server overload, network issues, or un-optimized logic on the server side. You need to beware of large HTML files or slow network connections because they can lead to longer download times. One of the key Next.js

Performance 75

Performance Cache Traffic Metrics 75

Dotcom-Montior

NOVEMBER 24, 2021

There was a time when standing up a website or application was simple and straightforward and not the complex networks they are today. Gone are the days of monolithic architecture. These systems can include physical servers, containers, virtual machines, or even a device, or node, that connects and communicates with the network.

Systems 74

Systems Monitoring Hardware Network 74

Alex Russell

JANUARY 30, 2024

It's time once again to update our priors regarding the global device and network situation. seconds on the target device and network profile, consuming 120KiB of critical path resources to become interactive, only 8KiB of which is script. What's changed since last year? and 75KiB of JavaScript. These are generous targets.

Performance 90

Performance Network Mobile Speed 90

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. A cautious approach is crucial when transitioning to a M-CDN architecture. What is Multi-CDN?A

Best Practices 52

Best Practices Strategy Traffic Virtualization 52

IO River

NOVEMBER 15, 2023

The OSI Model is like a layer cake of how data moves through networks. This means it specifically looks at the content of the data (like the writing inside our letters from the analogy) rather than just the envelope.So, what is the difference between a Firewall at the application level and network level?Network-level

Traffic 52

Traffic Network Logistics Architecture 52

IO River

NOVEMBER 2, 2023

A CDN (Content Delivery Network) is a network of geographically distributed servers that brings web content closer to where end users are located, to ensure high availability, optimized performance and low latency. A cautious approach is crucial when transitioning to a M-CDN architecture. What is Multi-CDN?A

Best Practices 40

Best Practices Strategy Traffic Virtualization 40

Alex Russell

MAY 9, 2022

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Consistent performance matters just as much as low average latency.

Performance 86

Performance Latency Metrics Engineering 86

IO River

NOVEMBER 2, 2023

The OSI Model is like a layer cake of how data moves through networks. This means it specifically looks at the content of the data (like the writing inside our letters from the analogy) rather than just the envelope.So, what is the difference between a Firewall at the application level and network level?Network-level

Traffic 40

Traffic Network Logistics Architecture 40

IO River

NOVEMBER 2, 2023

Delta Air Lines experienced a severe system outage in 2017, resulting in flight cancellations and delays across their network. Proactive monitoring aids in detecting performance bottlenecks, latency difficulties, and other anomalies that may influence availability.

Availability 52

Availability Social Media Traffic Games 52

IO River

NOVEMBER 2, 2023

Delta Air Lines experienced a severe system outage in 2017, resulting in flight cancellations and delays across their network. Proactive monitoring aids in detecting performance bottlenecks, latency difficulties, and other anomalies that may influence availability.

Availability 52

Availability Social Media Traffic Games 52

Alex Russell

MARCH 6, 2021

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. Modern network performance and availability.

Performance 124

Performance Network Cache Metrics 124

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Case-in-point, most enterprise CMS vendors lack robust full-site content delivery network (CDN) integration.

Systems 63

Systems Cache Website Network 63

O'Reilly Software

APRIL 4, 2018

Considerations for setting the architectural foundations for a fast data platform. Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. Back in the days of Web 1.0,

Architecture 80

Architecture Scalability Google Operating System 80

All Things Distributed

NOVEMBER 15, 2010

Building general purpose architectures has always been hard; there are often so many conflicting requirements that you cannot derive an architecture that will serve all, so we have often ended up focusing on one side of the requirements that allow you to serve that area really well.

AWS 136

AWS Latency Programming Architecture 136

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, we anticipate that ETL will either lose relevance or the ETL process will disintegrate and be consumed by new data architectures. Unified data management architecture. Event-driven data flow architecture. More details on this approach.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

The Morning Paper

SEPTEMBER 12, 2019

A pipeline breaker occurs when the output of one operator must be materialized to disk or transferred over the network, as opposed to being directly communicated from operator to operator via CPU cache, or, in the worst case, via RAM. The RDBMS was slower than TensorFlow for GPU-based implementations of neural networks, however.

Network 44

Network Database Programming Hardware 44

Alex Russell

JULY 14, 2021

Because they lean on the system-provided WebView component, they do not need to pay the expense of a heavier app download to support rendering HTML, running JavaScript, decoding images, or loading network resources. Facebook engineers have noted that the FB IAB is important in fighting bad behaviour on their social network.

Google 121

Google Mobile Engineering Internet 121

ScaleOut Software

MAY 4, 2014

Usually this means moving to a server with more CPU cores, greater memory capacity, and higher-end networking and storage options. Unless network bandwidth also grows proportionally to the number of servers, it usually becomes the limiter in scaling. Now CPU, memory, and storage resources can grow without predefined limits.

Network 40

Network Servers Analytics Storage 40