Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

OCTOBER 7, 2021

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery.

Serverless 289

Serverless AWS Lambda Storage 289

Scalegrid

DECEMBER 21, 2023

Redis® Monitoring Essentials Ensuring the performance, reliability, and safety of a Redis® database requires active monitoring. With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times.

Strategy 130

Strategy Monitoring Latency DevOps 130

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 104

Performance Monitoring Traffic Database 104

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. The problem could be in the database, the HTTP connection, the configuration of the message, or an outage on the sending or receiving end.

Monitoring 209

Monitoring Serverless Programming Speed 209

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. The problem could be in the database, the HTTP connection, the configuration of the message, or an outage on the sending or receiving end.

Monitoring 208

Monitoring Serverless Programming Speed 208

KeyCDN

FEBRUARY 22, 2023

Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. If you have a large database of user information stored on your servers, consider introducing multi-factor identification.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

AUGUST 30, 2019

Infrastructure Optimization: 100% improvement in Database Connectivity. Reducing CPU Utilization to now only consume 15% of initially provisioned hardware. Think of a user login which requires your back-end systems to validate user credentials and query required user profile information from the backend databases.

Cache 203

Cache Architecture Database Government 203

Percona

SEPTEMBER 1, 2023

Database architects working with MongoDB encounter specific challenges related to database systems and system growth. Scalability is a significant concern, as databases must handle growing data volumes and user demands while maintaining peak performance. Learn more: View our webinar on How to Scale with MongoDB.

Best Practices 72

Best Practices Traffic Database Servers 72

Percona

DECEMBER 27, 2023

of respondents are currently utilizing databases in Kubernetes (k8s). These indicators suggest that the adoption of databases on k8s is in its early stages and is likely to continue growing in the future. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 80

Cloud Open Source Strategy Best Practices 80

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. Key features Multi-table storage : Unlike file-per-table tablespaces, which store each table in a separate file, general tablespaces can house numerous tables, enhancing storage efficiency.

Storage 88

Storage Engineering Database Hardware 88

All Things Distributed

JULY 14, 2015

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database. DynamoDB Triggers.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

MARCH 19, 2018

Streaming algorithms also natively consume ephemeral data sources such as Amazon Kinesis streams, pipes, database query results, and almost any other data source. To seamlessly switch between CPU and GPU machines, we use Apache MXNet to interface with the underlying hardware. This can all be done without touching a single line of code.

Scalability 159

Scalability Hardware AWS Tuning 159

Percona

AUGUST 5, 2023

Partitioning is a way in which a database (MySQL in this case) splits its actual data down into separate tables but still gets treated as a single table by the SQL layer. Each partition holds data that falls within a specific range, optimizing data handling and query speed. So, What is MySQL Partitioning? Additionally, MySQL 8.0

Strategy 40

Strategy Storage Database Best Practices 40

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 111

Virtualization AWS Hardware Storage 111

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. First released in 2009, it is the most used NoSQL database and has been downloaded more than 325 million times. The bigger the database, the bigger the damage from a leak. This can leave your database instances exposed and vulnerable.

Database 80

Database Servers Storage Strategy 80

HammerDB

JUNE 27, 2022

This post is targeted towards the questions most often asked by non-technical management who want to get up to speed on what HammerDB is (what it isn’t) and how it can benefit their organization. HammerDB is a software application for database benchmarking. What is HammerDB? Why HammerDB was developed.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

The Morning Paper

SEPTEMBER 19, 2019

MongoDB is an important database, and this paper explains the tunable (per-operation) consistency models that MongoDB provides and how they are implemented under the covers. Microsoft have a paper describing their new recovery mechanism in Azure SQL Database , the key feature being that it can recovery in constant time. Yes please!

Blockchain 46

Blockchain Hardware Google Analytics 46

Percona

DECEMBER 14, 2022

In the database world there are essentially two types of database operations: Online Transaction Processing , OLTP : Online transaction processing applications have high throughput and are insert- or update-intensive in database management. But while eminently capable of performing OLAP, it’s not quite as efficient.

Database 92

Database Analytics Storage Processing 92

SQL Performance

MARCH 17, 2020

I will be using the 50GB Stack Overflow 2013 database , but any large table with a low number of distinct values would do. The Stack Overflow 2013 database comes without nonclustered indexes to minimize download time. This machine has four i7 CPUs (hyperthreaded to 8) with a base speed of 2.4GHz. Test Environment. BountyAmount.

Servers 86

Servers Tuning Database Efficiency 86

O'Reilly

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

Brendan Gregg

NOVEMBER 28, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 40

Virtualization AWS Hardware Storage 40

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. Leveraging the recent hardware advances.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

HammerDB

OCTOBER 8, 2018

This limitation is at the database level rather than the hardware level, nevertheless with up to date hardware (from mid-2018) PostgreSQL on a 2 socket system can be expected to deliver more than 2M PostgreSQL TPM and 1M NOPM with the HammerDB TPC-C test. . CPUs which run at the same hardware frequency: 0. bin/initdb -D./data.

Best Practices 40

Best Practices Scalability Performance Hardware 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. This will help you increase system performance and avoid I/O environment errors.

Servers 40

Servers Cache Media Hardware 40

Abhishek Tiwari

DECEMBER 13, 2017

This is a question recently asked and explored by a team of Google researchers led by Jeff Dean with a major focus on database indexes. Apart from indexes, super efficient sorting and join operations are some major areas come to my mind with immediate benefits of using learned data structure. Learned indexes.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

The Morning Paper

SEPTEMBER 12, 2019

Declarative recursive computation on an RDBMS… or, why you should use a database for distributed machine learing Jankov et al., Machine learning inside a relational database has been done before, most notably in the form of MADlib , which was integrated into Greenplum during my time at Pivotal. VLDB’19.

Network 44

Network Database Programming Hardware 44

Dotcom-Montior

NOVEMBER 27, 2018

Additionally, end users can access your site or applications from anywhere in the world using different browsers, operating systems, and mobile devices, all with varying connection speeds. Analyzing server performance (CPU, memory, bandwidth, disk I/O) and database response times. LoadView – Best Practices and Process.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

Dynatrace

AUGUST 5, 2019

Database & functional migration. Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. Step 4: Smart Database Migration. Which applications and services are depending on a database that might be impacted by a migration?

Cloud 31

Cloud Traffic Database Network 31

Alex Russell

JUNE 20, 2020

built-in relational SQL database engines. In each quantum of time, hardware and OS vendors press ahead, adding features. As OS and hardware deployed base integrate these components, the set of what most computers can do is expanded. This is often determined by hardware integration and device replacement rates.

Hardware 55

Hardware Games Java Media 55

High Scalability

NOVEMBER 25, 2019

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Which database do you use?

Architecture 52

Architecture Cache Azure Storage 52

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

Smashing Magazine

JANUARY 6, 2020

You need a business stakeholder buy-in, and to get it, you need to establish a case study, or a proof of concept using the Performance API on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Start Render time, Speed Index ). Treo Sites provides competitive analysis based on real-world data.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

You need a business stakeholder buy-in, and to get it, you need to establish a case study on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Note : If you use Page Speed Insights (no, it isn’t deprecated), you can get CrUX performance data for specific pages instead of just the aggregates.

Performance 104

Performance Cache Network Metrics 104

SQL Performance

MARCH 8, 2021

The following examples use the public Stack Overflow 2013 database ( download details ), with a single index added: CREATE INDEX PP ON dbo. This uses hardware, typically a crystal oscillator, that produces ticks at a very high constant rate regardless of processor speed, power settings, or anything of that nature. hash table).

Servers 95

Servers Tuning Architecture Processing 95