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. You might already use ScaleGrid hosting for Redis hosting to power your performance-sensitive applications.

Metrics 130

Metrics Monitoring Latency Cache 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. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance.

Performance 106

Performance Monitoring Traffic Database 106

Percona

MARCH 23, 2023

This blog is in reference to our previous ones for ‘Innodb Performance Optimizations Basics’ 2007 and 2013. Although there have been many blogs about adjusting MySQL variables for better performance since then, I think this topic deserves a blog update since the last update was a decade ago, and MySQL 5.7

Performance 127

Performance Hardware Tuning Storage 127

Dynatrace

AUGUST 12, 2019

With OneAgent installed on an application server, Davis, the Dynatrace AI causation engine, continuously analyzes all database statements within the context of your applications. Now, with Oracle database insights, we’re going even deeper, giving you visibility into what’s going on in the database layer.

Database 127

Database Metrics Cache Servers 127

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Key Takeaways Redis® monitoring is essential for safeguarding performance, reliability, and security.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Java, Go, and Node.js

Open Source 340

Open Source Java Operating System Programming 340

Scalegrid

OCTOBER 2, 2019

October 2, 2019 – ScaleGrid, a rapidly growing leader in the Database-as-a-Service (DBaaS) space, has just launched their new fully managed Hosting on Azure for Redis™ service. Redis™, the #1 key-value store and top 10 database in the world, has grown by over 300% in popularity over that past 5 years, per the DB-Engines knowledge base.

Azure 100

Azure Availability Open Source Virtualization 100

The Netflix TechBlog

APRIL 27, 2023

Ruchir Jha , Brian Harrington , Yingwu Zhao TL;DR Streaming alert evaluation scales much better than the traditional approach of polling time-series databases. It allows us to overcome high dimensionality/cardinality limitations of the time-series database. It opens doors to support more exciting use-cases.

Storage 288

Storage Cache Metrics Database 288

Percona

APRIL 6, 2023

PostgreSQL is a popular open source relational database management system many organizations use to store and manage their data. One of the key benefits of using PostgreSQL is its reliability, scalability, and performance. However, as the size of your database grows, it can become challenging to manage and optimize its performance.

Cache 116

Cache Open Source Benchmarking Database 116

Dynatrace

DECEMBER 21, 2023

Level 2: Hosts and containers You might run thousands of hosts and containers, many of which have been sized by prioritizing performance over energy consumption. Reduce the volume of data volumes requested from databases (for example, request all, filter in memory). So, it’s time to consider the next level of optimization.

Cloud 205

Cloud Energy Best Practices Cache 205

ScaleOut Software

APRIL 22, 2020

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

Dynatrace

MAY 13, 2022

This extension provides fully app-centric Cassandra performance monitoring for Azure Managed Instance for Apache Cassandra. Apache Cassandra is an open-source, distributed, NoSQL database. Microsoft Azure offers multiple ways to manage Apache Cassandra databases. You can also analyze table metrics, such as cache hits and misses.

Azure 234

Azure Latency Metrics Infrastructure 234

Percona

APRIL 7, 2023

I’ve used a fourth instance to host a PMM server to monitor servers A and B and used the data collected by the PMM agents installed on the database servers to compare performance. MySQL comes pre-configured to be conservative instead of making the most of the resources available in the server. Why is that?

Tuning 137

Tuning Cache Servers Benchmarking 137

Percona

AUGUST 31, 2018

It has default settings for all of the database parameters. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. It is important to pay attention to performance when writing database queries. PostgreSQL’s Tuneable Parameters.

Tuning 57

Tuning Database Performance Benchmarking 57

Scalegrid

DECEMBER 19, 2019

It’s a very simple utility that does exactly one thing – it sits between the database and the clients and speaks the PostgreSQL protocol, emulating a PostgreSQL server. When PgBouncer receives a client connection, it first performs authentication on behalf of the PostgreSQL server. How Does PgBouncer Work?

Cache 246

Cache Architecture Database Servers 246

High Scalability

FEBRUARY 17, 2021

This article is to simply report the YCSB bench test results in detail for five NoSQL databases namely Redis, MongoDB, Couchbase, Yugabyte and BangDB and compare the result side by side. I have used latest versions for each NoSQL DB and have followed the recommendations to run all the databases in optimized conditions. Load and 2.

Benchmarking 308

Benchmarking Latency C++ Database 308

Scalegrid

JULY 29, 2020

In our final post, we will put them head-to-head in a detailed feature comparison and compare the results of PgBouncer vs. Pgpool-II performance for your PostgreSQL hosting ! PgBouncer defines one pool per user+database combination. This is shared between all clients, so a pooled connection is available to all clients.

Benchmarking 246

Benchmarking Database Performance Testing Availability 246

Percona

MAY 2, 2023

That’s why it’s essential to implement the best practices and strategies for MongoDB database backups. Why are MongoDB database backups important? Regular database backups are essential to protect against data loss caused by system failures, human errors, natural disasters, or cyber-attacks.

Best Practices 52

Best Practices Database Storage Servers 52

Percona

APRIL 24, 2023

Indexes are generally considered to be the panacea when it comes to SQL performance tuning, and PostgreSQL supports different types of indexes catering to different use cases. The benefits come with a cost in terms of performance and resource consumption. Effectively, the memory available for pages of the table gets less.

Tuning 128

Tuning Cache Storage Database 128

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JULY 8, 2020

If you must kill the script at this point, there are two options available: SCRIPT KILL command can be used to stop a script that hasn’t yet done any writes. If the script has already performed writes to the server and must still be killed, use the SHUTDOWN NOSAVE to shutdown the server completely. Expert Tip. Demonstration.

Servers 239

Servers Database Availability Monitoring 239

SQL Performance

APRIL 27, 2020

Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. HyperScale Database. Hyperscale databases are provisioned using vCores. DTU Pricing Tier.

Azure 55

Azure Database Serverless Hardware 55

Scalegrid

APRIL 16, 2020

Where you decide to host your cloud databases is a huge decision. But, if you’re considering leveraging a managed databases provider, you have another decision to make – are you able to host in your own cloud account or are you required to host through your managed service provider? Where to host your cloud database?

Cloud 242

Cloud Azure AWS Database 242

Dynatrace

AUGUST 30, 2019

Digital Performance: 99% reduction in Response Time, from 18.2s Infrastructure Optimization: 100% improvement in Database Connectivity. Dynatrace Real User Monitoring (RUM) captures very detailed user behavior, as well as experience and performance information, about every user on your applications.

Cache 195

Cache Architecture Database Government 195

Scalegrid

JANUARY 5, 2024

If you’re considering a database management system, understanding these benefits is crucial. DBMS enhances data security with encryption, implements various access controls, and enables improved data sharing and concurrent access, thus facilitating quick response to changes and maintaining consistent database accuracy.

Efficiency 147

Efficiency Storage Database Scalability 147

HammerDB

JULY 5, 2022

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

Benchmarking 98

Benchmarking Database C++ Virtualization 98

Percona

MARCH 27, 2023

On MySQL and Percona Server for MySQL , there is a schema called information_schema (I_S) which provides information about database tables, views, indexes, and more. The queries executed against I_S to check performance degradation checks information about some table FKs (foreign keys) relationships. performance degradation.

Cache 104

Cache Hardware Servers Benchmarking 104

Smashing Magazine

AUGUST 3, 2023

How We Optimized Performance To Serve A Global Audience How We Optimized Performance To Serve A Global Audience Liran Cohen 2023-08-03T10:00:00+00:00 2023-08-03T13:06:00+00:00 I work for Bookaway , a digital travel brand. Large preview ) We’ve known for a long time that fast page performance influences search engine rankings.

Performance 74

Performance Cache Traffic Metrics 74

Percona

SEPTEMBER 1, 2023

MySQL server performance can sometimes be perplexing, and if you’ve ever wondered about the role of triggers in influencing your MySQL server’s memory allocation, this post is for you. A Trigger in MySQL is a database object that plays a pivotal role in database management. What is a Trigger in MySQL?

Cache 62

Cache Database Games Healthcare 62

Percona

FEBRUARY 1, 2023

PostgreSQL is a fantastic database, but if you’re storing images, video, audio files, or other large data objects, you need to “toast” them to get optimal performance. This post will look at using The Oversized-Attribute Storage Technique (TOAST) to improve performance and scalability.

Storage 93

Storage Scalability Strategy Performance 93

Highly Scalable

SEPTEMBER 18, 2012

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases. Data Placement. System Coordination. Read/Write latency. Fault-tolerance.

Database 213

Database Latency C++ Scalability 213

Percona

FEBRUARY 15, 2023

Bloom filters are an essential component of an LSM-based database engine like MyRocks. For good performance, the filter blocks are cached in the RocksDB block cache and normally stay there since they are accessed frequently. Bloom filter is an important feature improving performance of LSM storage engines.

Storage 129

Storage Tuning Cache Engineering 129

Percona

MAY 10, 2023

I have seen many Linux Performance engineers looking at the “IOWait” portion of CPU usage as something to indicate whenever the system is I/O-bound. With this extension, we can clearly see which processes are runnable (running or blocked on CPU availability) and which are waiting on disk I/O!

Cache 143

Cache Monitoring Open Source Processing 143

Percona

MARCH 17, 2023

These updates are designed to keep databases running at peak performance and simplify database operations. But as companies grow and see more demand for their databases, we need to ensure that PMM also remains scalable so you don’t need to worry about its performance while tending to the rest of your environment.

Monitoring 101

Monitoring Scalability Cache Database 101

Dynatrace

NOVEMBER 3, 2021

Because monitoring tends to focus on key indicators such as utilization rates and throughput, monitoring indicates overall system performance. For example, when monitoring a database, you’ll want to know about any latency when writing data to a disk or average query response time.

Monitoring 216

Monitoring Metrics DevOps Scalability 216

Percona

JULY 25, 2023

When a new node joins the cluster, SST is performed to receive the data from DONOR to the JOINER. Percona XtraBackup performs crash recovery on the files to make a consistent, usable database again. The redo apply phase wouldn’t make the database consistent with respect to a transaction. CREATE TABLE test.t1(a

Cache 87

Cache Benchmarking Servers Design 87