Dotcom-Montior

NOVEMBER 24, 2021

Web developers or administrators did not have to worry or even consider the complexity of distributed systems of today. Great, your system was ready to be deployed. Once the system was deployed, to ensure everything was running smoothly, it only took a couple of simple checks to verify. What is a Distributed System?

Systems 74

Systems Monitoring Hardware Network 74

VoltDB

JULY 10, 2018

As the complexity of applications and systems increases, the size of the teams that work on these also increase. In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. In these use cases, data processing usually has less than a 5 milliseconds latency budget.

Architecture 40

Architecture Scalability Ecommerce Latency 40

VoltDB

JULY 10, 2018

As the complexity of applications and systems increases, the size of the teams that work on these also increase. In these scenarios, having the system as a monolithic one inhibits the development team from being able to move forward at speed. In these use cases, data processing usually has less than a 5 milliseconds latency budget.

Architecture 40

Architecture Scalability Ecommerce Latency 40

Adrian Cockcroft

JANUARY 20, 2023

on Myths and Legends of High Performance Computing  — it’s a somewhat light-hearted look at some of the same issues by the leader of the team that built the Fugaku system I mention below. Next generation architectures will use CXL3.0 HPCG is led by Japan’s RIKEN Fugaku system at 16 petaflops, which is 3% of it’s peak capacity.

Architecture 52

Architecture Latency Benchmarking AWS 52

High Scalability

JANUARY 11, 2022

Architecture. The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. Sending and receiving messages from other users. High Level Design. Fetching User Feed. Streaming Data Model.

Design 334

Design Media Storage Logistics 334

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. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 255

Engineering DevOps Government Latency 255

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. Dynatrace news. But what is observability? Why is it important, and what can it actually help organizations achieve? What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. Logging provides additional data but is typically viewed in isolation of a broader system context. Monitoring is capturing and displaying data, whereas observability can discern system health by analyzing its inputs and outputs.

Monitoring 222

Monitoring Metrics DevOps Scalability 222

Scalegrid

MARCH 22, 2024

They can also bolster uptime and limit latency issues or potential downtimes. This process thoroughly assesses factors like cost-effectiveness, security measures, control levels, scalability options, customization possibilities, performance standards, and availability expectations. Elevate your cloud strategy today with ScaleGrid!

Strategy 130

Strategy Cloud Government Innovation 130

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. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 177

Engineering DevOps Government Latency 177

Dynatrace

DECEMBER 22, 2021

Complex information systems fail in unexpected ways. Observability gives developers and system operators real-time awareness of a highly distributed system’s current state based on the data it generates. With observability, teams can understand what part of a system is performing poorly and how to correct the problem.

Artificial Intelligence 179

Artificial Intelligence Metrics Architecture DevOps 179

The Morning Paper

AUGUST 29, 2019

Choosing a cloud DBMS: architectures and tradeoffs Tan et al., We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. Each systems begins from a cold start unless explicitly stated otherwise in the results. VLDB’19. Key findings.

Architecture 76

Architecture Cloud Storage Serverless 76

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. The recently announced CXL3.0

Latency 52

Latency Hardware Cache Architecture 52

The Netflix TechBlog

AUGUST 30, 2021

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. System Setup Architecture The following diagram summarizes the architecture description: Figure 1: Event-sourcing architecture of the Device Management Platform.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

APRIL 5, 2021

AWS Lambda enables organizations to access many types of functions from AWS’ cloud-based services, such as: Data processing, to execute code based on triggers, system states, or user actions. You will likely need to write code to integrate systems and handle complex tasks or incoming network requests.

Lambda 181

Lambda AWS Serverless Hardware 181

InfoQ

JANUARY 26, 2024

The company evolved the guild component, which is responsible for fanning out billions of message notifications, in a series of performance and scalability improvements supported by system observability and performance tuning. By Rafal Gancarz

Servers 104

Servers Tuning Scalability Performance 104

The Morning Paper

FEBRUARY 6, 2020

The key ingredients of Cloudburst are a highly-scalable key-value store for persistent state ( Anna ), local caches co-located with function execution environments, and cache-consistency protocols to preserve developer sanity while data is moved in and out of those caches. High level architecture. Consistency.

Lambda 98

Lambda Serverless Cache Latency 98

Dynatrace

SEPTEMBER 30, 2021

The breadth of fully-featured services, the pay-as-you-go scalability, and the agility of cloud platforms enable organizations to expand their modern approaches to building and managing digital services in a way they can’t with on-premises apps and infrastructure. Increased scalability. Reduced cost. Inconsistent performance.

Cloud 166

Cloud Traffic Best Practices Strategy 166

Percona

JULY 17, 2023

5 among all database management systems and No. 1 among non-relational/document-based systems ( DB-Engines, July 2023 ). DBAs and developers appreciate its combination of flexibility, scalability, and performance. MongoDB is preferable for working with content management systems and mobile apps. It ranks No.

Open Source 76

Open Source Database Scalability Software 76

ScaleOut Software

JULY 19, 2021

How are we managing the torrent of telemetry that flows into analytics systems from these devices? Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. The list goes on. The Limitations of Today’s Streaming Analytics.

IoT 78

IoT Analytics Big Data Architecture 78

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. Why are developers using RInK systems as part of their design? We’ve seen similar high marshalling overheads in big data systems too.)

Cache 79

Cache Latency Google Lambda 79

Dotcom-Montior

NOVEMBER 11, 2020

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. Applications that are running continuously on a dedicated server aren’t as impacted by latency issues.

Serverless 57

Serverless Monitoring Lambda Latency 57

IO River

NOVEMBER 2, 2023

Caching improves performance, reduces bandwidth usage, and enhances scalability by reducing the load on the origin server.Faster Loading Times: Static content is pre-generated and does not require server-side processing. Thus, a Multi-CDN strategy can be invaluable to maximizing global reach and reducing latency indeed.

Cache 52

Cache Social Media Website Performance Website 52

The Morning Paper

SEPTEMBER 10, 2019

Google already has Dremel , Mesa , Photon , F1 , PowerDrill , and Spanner , so why did they need yet another data processing system? Because they had too many data processing systems! ;). When each of those use cases is powered by a dedicated back-end, investments in better performance, improved scalability and efficiency etc.

Analytics 75

Analytics Latency Cache Google 75

Percona

MAY 15, 2023

The main reason behind this is that MySQL is a relational database system (RDBMS), and any data that is going to be written in it must respect the RDBMS rules. Normally this solution requires a full code redesign and could be quite difficult to achieve when it is injected after the initial code architecture definition.

Traffic 123

Traffic Scalability Database Servers 123

ScaleOut Software

JULY 14, 2021

It provides support for a range of message protocols, buffering, and scalable message distribution to downstream services. A security sensor in a key-card access system might indicate an unusual pattern of building entries for an employee who has given notice of resignation. Azure digital twins serve a different purpose.

IoT 52

IoT Azure Analytics Serverless 52

HammerDB

OCTOBER 12, 2018

As with the previous guides as an Intel employee (#IAMINTEL) the examples are taken from a MySQL 8 on Linux on Intel system and the approach is the same for whatever system you are testing although some of the settings you see may be different. System Setup: CPU, Memory and I/O Configuration. hardware limits: 1000 MHz - 3.80

Best Practices 40

Best Practices Scalability Performance C++ 40

The Morning Paper

NOVEMBER 15, 2020

This stems from a combination of Jevon’s paradox and the interconnectedness of systems – doing more in one area often leads to a need for more elsewhere too. At the end of the day, there are three basic ways we can increase capacity: Increasing the number of units in a system (subject to Amdahl’s law ). IDS/IPS requirements.

Servers 128

Servers Hardware Latency Design 128

Percona

JULY 1, 2023

These may be performance, high availability, operational cost, management, capacity planning, scalability, security, monitoring, etc. Aurora Features High Performance and Scalability Amazon Aurora has gained widespread recognition for its exceptional performance and scalability, making it an ideal solution for handling demanding workloads.

AWS 52

AWS Database Serverless Storage 52

Testsigma

AUGUST 24, 2020

Lack of Testability Support in Products: A test automation system is a very basic requirement for Continuous Testing. To incorporate feedback on a continuous basis, you need feedback loops in the system that can help you gather feedback in real-time. Such scalability issues aren’t always noticeable in the beginning.

Testing 69

Testing Open Source Scalability Latency 69

The Morning Paper

OCTOBER 10, 2019

Last time out we looked at some great lessons from Airbnb as they introduced deep learning into their search system. As image recognition architectures are evolving quickly, we want to iterate our three specialized embeddings with modern architectures to improve our three visual search products. Model architecture.

Latency 58

Latency Storage Architecture Traffic 58

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, At least once?

Architecture 80

Architecture Scalability Google Operating System 80

IO River

NOVEMBER 2, 2023

Caching improves performance, reduces bandwidth usage, and enhances scalability by reducing the load on the origin server.Faster Loading Times: Static content is pre-generated and does not require server-side processing. Thus, a Multi-CDN strategy can be invaluable to maximizing global reach and reducing latency indeed.

Cache 52

Cache Social Media Website Performance Website 52

Abhishek Tiwari

JULY 12, 2018

In a nutshell, a data pipeline is a distributed system. Pipeline is infinitely scalable Given the elasticity offered by public clouds, one would think that data pipelines are infinitely scalable which is entirely misleading.

Latency 63

Latency Analytics Scalability Engineering 63

The Netflix TechBlog

FEBRUARY 18, 2022

To this end, we developed a Rapid Event Notification System (RENO) to support use cases that require server initiated communication with devices in a scalable and extensible manner. In this blog post, we will give an overview of the Rapid Event Notification System at Netflix and share some of the learnings we gained along the way.

Systems 334

Systems Traffic Architecture Mobile 334

ScaleOut Software

APRIL 6, 2021

Because it runs on a scalable, highly available in-memory computing platform, it can do all this simultaneously for hundreds of thousands or even millions of data sources. This simplifies the installation process and ensures portability across operating systems. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

All Things Distributed

NOVEMBER 8, 2012

Werner Vogels weblog on building scalable and robust distributed systems. The Amazon Simple Queue Service (SQS) is a highly scalable, reliable and elastic queuing service that just works. Historically, messaging has been an important building block for building highly reliable distributed systems. All Things Distributed.

Efficiency 107

Efficiency Cloud Games Scalability 107