InfoQ

JUNE 16, 2023

Datadog created a dedicated data ingestion architecture offering exactly-once semantics for their third-generation event store, Husky. The event-driven architecture (EDA) can accommodate bursts in traffic in the multi-tenant platform with reasonable ingestion latency and acceptable operational costs. By Rafal Gancarz

Architecture 55

Architecture Scalability Latency Traffic 55

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

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Analytics Big Data Architecture 78

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Interoperability with Hadoop.

Big Data 154

Big Data Processing Lambda Database 154

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. It uses a hash table to manage these pairs, divided into fixed-size buckets with linked lists for key-value storage. Data transfer technology.

Cache 130

Cache Storage Scalability Architecture 130

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. This was both expensive and time consuming to configure. Why would this be the case?

C++ 40

C++ Benchmarking Virtualization Open Source 40

Percona

MAY 2, 2023

As a MongoDB user, it’s crucial to ensure that your data is safe and secure in the event of a disaster or system failure. That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? mongodump --host=mongodb1.example.net

Best Practices 52

Best Practices Database Storage Servers 52

Scalegrid

DECEMBER 16, 2019

MongoDB is the #3 open source database and the #1 NoSQL database in the world. It’s a cross-platform document-oriented database that uses JSON-like documents with schema, and is leveraged broadly across startup apps up to enterprise-level businesses developing modern apps. DigitalOcean Droplets. minutes of downtime in one year.

Azure 187

Azure AWS Latency Database 187

The Morning Paper

MARCH 3, 2020

Millions of tiny databases , Brooker et al., It takes you through the thinking processes and engineering practices behind the design of a key part of the control plane for AWS Elastic Block Storage (EBS): the Physalia database that stores configuration information. Larger cells have better tolerance of tail latency (e.g.

Database 106

Database AWS Network Design 106

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. An erroneous change in the database system leads to a subset of the data being categorized incorrectly.

DevOps 189

DevOps Analytics Airlines Metrics 189

The Morning Paper

NOVEMBER 8, 2020

USENIX is a nonprofit organisation committed to making content and research freely available – both conference proceedings and the recorded presentations of their events. Without in-person conferences this year, income is down and events are under threat. For Facebook’s Delos, reconfiguration latencies of 10s of ms are ok.

Virtualization 126

Virtualization Latency Storage Systems 126

Dynatrace

DECEMBER 22, 2021

Metrics are measures of critical system values, such as CPU utilization or average write latency to persistent storage. Logs are files that record events in a system, such as the start of a subprocess or the trapping of an error. Observability is made up of three key pillars: metrics, logs, and traces.

Artificial Intelligence 171

Artificial Intelligence Metrics Architecture DevOps 171

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. Acting as a switchboard for incoming and outgoing messages, Azure IoT Hub forms the core of these capabilities.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

SEPTEMBER 25, 2019

Therefore, it requires multidimensional and multidisciplinary monitoring: Infrastructure health —automatically monitor the compute, storage, and network resources available to the Citrix system to ensure a stable platform. Dynatrace Extension: database performance as experienced by the SAP ABAP server. Citrix VDA. SAP server.

Latency 117

Latency Performance Virtualization Infrastructure 117

All Things Distributed

APRIL 9, 2015

AWS has been offering a range of storage solutions: objects, block storage, databases, archiving, etc. Amazon EFS is a fully-managed service that makes it easy to set up and scale shared file storage in the AWS Cloud. With Amazon EFS, there is no minimum fee or setup costs, and customers pay only for the storage they use.

Lambda 122

Lambda Cloud IoT AWS 122

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. It’s limited by the laws of physics in terms of end-to-end latency. Emphasis mine ). Emphasis mine ).

Cloud 104

Cloud Big Data Latency Architecture 104

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Network latency. Database connectivity. Network Latency. Network latency can be affected due to. Database Connectivity. Present-day applications make more much use of the database. DOM events.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

The Morning Paper

JANUARY 26, 2020

Second, Reverb enables speculative bug fix analysis … Third, Reverb supports wide-area debugging for applications whose server-side components use event-driven architectures. These are "pervasively asynchronous and event-driven" which makes it notoriously difficult to figure out what’s going on. The problem.

Programming 86

Programming Servers Network Latency 86

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. The network latency of fetching data over the network, even considering fast data center networks. Who knew! ;).

Cache 79

Cache Latency Google Lambda 79

All Things Distributed

OCTOBER 2, 2017

Today marks the 10 year anniversary of Amazon's Dynamo whitepaper , a milestone that made me reflect on how much innovation has occurred in the area of databases over the last decade and a good reminder on why taking a customer obsessed approach to solving hard problems can have lasting impact beyond your original expectations.

Internet 128

Internet Internet AWS Performance 128

All Things Distributed

OCTOBER 12, 2016

Fast Data is an emerging industry term for information that is arriving at high volume and incredible rates, faster than traditional databases can manage. Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency.

Scalability 130

Scalability Analytics Cache AWS 130

Abhishek Tiwari

DECEMBER 27, 2017

ETL is a product of the relational database era and it has not evolved much in last decade. It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake. Event-driven data flow architecture. More details on this approach.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

HammerDB

NOVEMBER 5, 2018

If you are new to running Oracle, SQL Server, MySQL and PostgreSQL TPC-C workloads with HammerDB and have needed to investigate I/O performance the chances are that you have experienced waits on writing to the Redo, Transaction Log or WAL depending on the database you are testing. Oracle Log File Sync.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

Dynatrace

JANUARY 15, 2020

Therefore, it requires multidimensional and multidisciplinary monitoring: Infrastructure health —automatically monitor the compute, storage, and network resources available to the Citrix system to ensure a stable platform. Dynatrace Extension: database performance as experienced by the SAP ABAP server. Citrix VDA. SAP server.

Latency 35

Latency Performance Virtualization Infrastructure 35

SQL Server According to Bob

JANUARY 11, 2020

KB sectors run on smaller sectors   14 System and sample databases   15 Determining the formatted sector size of database   15 What sector sizes does SQL Server support? SQL Server 2005 introduces the snapshot database feature for point-in-time databases ​​ and online DBCC operations.

Servers 40

Servers Cache Database Media 40

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. The modifications persist even in the event of a system failure.

Servers 40

Servers Cache Media Hardware 40

Adrian Cockcroft

NOVEMBER 11, 2019

Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. For systems that are latency sensitive, creating two independent ways to succeed is an important technique for greatly reducing the 99th percentile latency.

Latency 52

Latency Engineering Systems Hardware 52

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Pointer Events. For heavily latency-sensitive use-cases like WebXR, this is a critical component in delivering a good experience. The data captured by MDN Browser Compatibility Data Respository and the caniuse database is often partial and sometimes incorrect.

Media 145

Media Games Education Engineering 145

Highly Scalable

MAY 1, 2012

This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. There is a system that receives events on user visits from different internet sites. A group of several such sketches can be used to process range query. This opportunity is leveraged in the following case study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Adrian Cockcroft

NOVEMBER 11, 2019

Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. For systems that are latency sensitive, creating two independent ways to succeed is an important technique for greatly reducing the 99th percentile latency.

Latency 53

Latency Engineering Systems Hardware 53

Smashing Magazine

JANUARY 6, 2020

In the end, it’s not the load events or server response times that define the experience, but the perception of how snappy the interface feels. Custom metrics measure a particular, custom event for the user, e.g. Twitter’s Time To First Tweet and Pinterest’s PinnerWaitTime. What does it mean?

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Custom metrics measure a particular, custom event for the user, e.g. Twitter’s Time To First Tweet and Pinterest’s PinnerWaitTime. For that one, you can monitor Hero Rendering Times , or use Performance API , marking particular timestaps for events that are important for your business.

Performance 104

Performance Cache Metrics Network 104