Dynatrace

APRIL 8, 2024

If system failures occur, teams must resolve them quickly and resolutely. Maximizing a strong foundation of IT infrastructure performance and security means effectively utilizing all the data that these systems produce to drive risk management processes and decision-making. Automated issue resolution. Break down data silos.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

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 182

Artificial Intelligence Metrics Architecture DevOps 182

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 252

AWS Efficiency Azure Cloud 252

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

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. Login & Authentication: Systems that verify user credentials and maintain session-specific data.

Architecture 52

Architecture Performance Internet Internet 52

IO River

NOVEMBER 2, 2023

They need to deliver impeccable performance without breaking the bank.According to recent industry statistics, global streaming has seen an uptick of 30% in the past year, underscoring the importance of efficient CDN architecture strategies. Login & Authentication: Systems that verify user credentials and maintain session-specific data.Â

Architecture 52

Architecture Performance Internet Internet 52

Percona

NOVEMBER 3, 2023

Rather than listing the concepts, function calls, etc, available in Citus, which frankly is a bit boring, I’m going to explore scaling out a database system starting with a single host. I won’t cover all the features but show just enough that you’ll want to see more of what you can learn to accomplish for yourself.

Database 102

Database Benchmarking Latency C++ 102

Scalegrid

JANUARY 8, 2024

AI algorithms embedded in cloud architecture automate repetitive processes, streamlining workloads and reducing the chance of human error. AI models integrated into cloud systems offer flexibility, enable agile methodologies, and ensure secure systems. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

The Morning Paper

OCTOBER 26, 2020

As a production system within Microsoft capturing around a quadrillion events and indexing 16 trillion search keys per day it would be interesting in its own right, but there’s a lot more to it than that. These two narratives of reference architecture and ingestion/indexing system are interwoven throughout the paper.

Cloud 104

Cloud Big Data Latency Architecture 104

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

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to [Systems Performance 2nd Edition], and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 110

Performance Latency Cache Virtualization 110

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

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

Particular Software

SEPTEMBER 20, 2021

Some will claim that any type of RPC communication ends up being faster (meaning it has lower latency) than any equivalent invocation using asynchronous messaging. There are more steps, so the increased latency is easily explained. Stop the world This is where the throughput of an RPC system starts to go off the rails.

Benchmarking 97

Benchmarking Latency Servers Systems 97

The Netflix TechBlog

DECEMBER 21, 2020

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. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

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! ;). And given the growing scale of YouTube, some of those backend systems were starting to creak. Procella system overview. are divided.

Analytics 75

Analytics Latency Cache Google 75

Percona

JULY 17, 2023

5 among all database management systems and No. 1 among non-relational/document-based systems ( DB-Engines, July 2023 ). Taking a deeper dive, MongoDB is a system for analyzing data because documents are easily shared across multiple nodes and because of its indexing, query-on-demand, and real-time aggregation capabilities.

Open Source 74

Open Source Database Scalability Software 74

Testsigma

JULY 23, 2020

This is a standalone software program which doesn’t depend on any internet connectivity for its working and its performance is not impacted because of any network related latencies. Any network-related latencies result in performance hindrances in these types of applications. These have clients and servers in their architecture.

Testing 63

Testing Internet Internet Latency 63

Brendan Gregg

FEBRUARY 28, 2023

This talk originated from my updates to Systems Performance 2nd Edition , and this was the first time I've given this talk in person! CXL in a way allows a custom memory controller to be added to a system, to increase memory capacity, bandwidth, and overall performance. Ford, et al., “TCP

Performance 52

Performance Latency Cache Virtualization 52

Percona

JULY 1, 2023

It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best. This capability is valuable for reverting to a previous state, whether to recover from data corruption or any other incident.

AWS 52

AWS Database Serverless Storage 52

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

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? Fetching too much data in a single query (i.e., Who knew! ;).

Cache 79

Cache Latency Google Lambda 79

Percona

JANUARY 24, 2023

ALTER SYSTEM SET wal_compression=ON; SELECT pg_reload_conf(); PostgreSQL 15+ Modern compression algorithms started offering much better compression while taking fewer CPU cycles. Individual processes generate WAL records, and latency is very crucial for transactions. Lz4 is a good example.

Database 114

Database Benchmarking Open Source Latency 114

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

Smashing Magazine

SEPTEMBER 28, 2022

On design systems, UX, web performance and CSS/JS. Caching partially stores your data and is not used as permanent storage. Using the cache as permanent storage is an anti-pattern. Common Websocket Architecture. Event Sourcing Architecture. With Brad Frost, Stephanie Troeth and so many others. Caching Schemes.

Cache 125

Cache Performance Servers Social Media 125

ACM Sigarch

DECEMBER 6, 2018

Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. To foster research in these categories, we provide an overview of each of these categories to understand the implications on workload analysis and HW/SW architecture research.

Wireless 54

Wireless IoT Analytics Architecture 54

HammerDB

MAY 5, 2019

Note that the main developer of HammerDB is Intel employee (#IAMINTEL) however HammerDB is a personal open source project and HammerDB has no optimization whatsoever for a database running on any particular architecture. in the directory storage/innobase/ut the following section has UT_RELAX_CPU defined to call the PAUSE instruction on x86.

Testing 48

Testing Tuning Latency Storage 48

ScaleOut Software

JULY 14, 2021

The Microsoft Azure IoT ecosystem offers a rich set of capabilities for processing IoT telemetry, from its arrival in the cloud through its storage in databases and data lakes. 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.

IoT 52

IoT Azure Analytics Serverless 52

All Things Distributed

SEPTEMBER 25, 2012

Werner Vogels weblog on building scalable and robust distributed systems. Amazon RDS Provisioned IOPS is ideal for mission-critical online transaction processing (OLTP) workloads that require a high performance storage option with consistent IOPS, within a narrow band of tolerance. s architecture. All Things Distributed.

Cloud 118

Cloud AWS Storage Database 118

The Morning Paper

JUNE 13, 2019

Making queries to an inference engine has many of the same throughput, latency, and cost considerations as making queries to a datastore, and more and more applications are coming to depend on such queries. Managed here means that the system automates resource provisioning for models to match a set of SLO constraints (cf. autoscaling).

Hardware 58

Hardware Latency Serverless Energy 58

Percona

APRIL 17, 2023

In this blog post, we will discuss the best practices on the MongoDB ecosystem applied at the Operating System (OS) and MongoDB levels. Operating System (OS) settings Swappiness Swappiness is a Linux kernel setting that influences the behavior of the Virtual Memory manager when it needs to allocate a swap, ranging from 0-100.

Best Practices 52

Best Practices Design Tuning Database 52

O'Reilly Software

JUNE 12, 2018

The benefits of modeling data as events as a mechanism to evolve our software systems. 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. How do you do that effectively?

Database 72

Database Cache Architecture Latency 72

Percona

APRIL 7, 2023

Here’s how the same test performed when running Percona Distribution for PostgreSQL 14 on these same servers: Queries: reads Queries: writes Queries: other Queries: total Transactions Latency (95th) MySQL (A) 1584986 1645000 245322 3475308 122277 20137.61 MySQL (B) 2517529 2610323 389048 5516900 194140 11523.48

Tuning 133

Tuning Cache Servers Benchmarking 133

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 121

Traffic Scalability Database Servers 121

The Morning Paper

FEBRUARY 23, 2020

Our approach differs substantially by (1) providing economic incentives for data to be contributed and integrated into existing schemas, (2) offering a SQL interface instead of graph based approaches, (3) including the computational and storage infrastructure in the architectural vision. Market participants.

Blockchain 94

Blockchain Internet Internet IoT 94