Scalegrid

NOVEMBER 26, 2020

In fact, it is the number one key value store and eighth most popular database in the world. Redis is a great caching solution for highly demanding applications, and there are […]. Redis is an advanced key-value store. It has high throughput and runs from memory, but also has the ability to persist data on disk.

Cache 130

Cache Azure Benchmarking Performance 130

Dynatrace

JANUARY 31, 2024

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources.

Cache 204

Cache Azure Infrastructure Monitoring 204

DZone

MARCH 16, 2020

In this case, for the sake of demonstration, I have taken 2 million dummy physician records that reside in the database table and migrated them to in-memory maps. The migration will enable the application to quickly lookup in the map and vet the physician rather than querying the database table for vetting.

Cache 147

Cache Java Performance Database 147

Percona

NOVEMBER 1, 2023

version, like this: ANALYZE TABLE removes the table from the table definition cache, which requires a flush lock. This makes the query wait for any long-running queries to finish but also can trigger cascading waiting for other incoming requests. In short, ANALYZE could lead to nasty stalls in busy production environments. x are all safe.

Servers 94

Servers Database Cache C++ 94

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

JANUARY 16, 2023

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Strongest Kubernetes growth areas are security, databases, and CI/CD technologies. Of the organizations in the Kubernetes survey, 71% run databases and caches in Kubernetes, representing a +48% year-over-year increase.

Open Source 342

Open Source Java Operating System Programming 342

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

Percona

SEPTEMBER 1, 2023

MySQL performance tuning offers several significant advantages for effective database management and optimization. Enhanced Database Efficiency By adjusting configuration settings, you can markedly enhance the overall efficiency of your MySQL database. Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. HA is sometimes confused with “fault tolerance.”

Availability 105

Availability Database Open Source Hardware 105

Percona

MAY 1, 2023

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. The performance of a PostgreSQL database has a significant impact on the overall effectiveness of an application.

Tuning 52

Tuning Efficiency Database Performance 52

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

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

The Morning Paper

JUNE 16, 2019

Towards multiverse databases Marzoev et al., The central idea behind multiverse databases is to push the data access and privacy rules into the database itself. With multiverse databases, each user sees a consistent “parallel universe” database containing only the data that user is allowed to see.

Database 90

Database Cache Benchmarking Efficiency 90

DZone

OCTOBER 9, 2023

Bloom, these data structures have found applications in various fields such as databases, caching, networking, and more. They effectively filter out unwanted items from extensive data sets while maintaining a small probability of false positives. Since their invention in 1970 by Burton H.

Efficiency 152

Efficiency Cache Network Database 152

Scalegrid

AUGUST 30, 2019

Depending on how it is configured, Redis can act like a database, a cache or a message broker. It’s important to note that Redis is a NoSQL database system. Session Cache: Many websites leverage Redis Strings to create a session cache to speed up their website experience by caching HTML fragments or pages.

Cache 232

Cache Ecommerce Social Media Database 232

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. Once the authentication succeeds: PgBouncer checks for a cached connection, with the same username+database combination.

Cache 246

Cache Database Architecture Servers 246

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

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

Dynatrace

APRIL 10, 2023

transitioned from a homegrown distributed database management system based on Apache Zookeeper and Apache Kafka to a commercial solution based on the high-speed Redis database, cache, and message broker, Dynatrace multicloud observability helped the company understand database performance deviations.

Cloud 171

Cloud Ecommerce Performance Retail 171

Percona

APRIL 6, 2023

PostgreSQL is a popular open source relational database management system many organizations use to store and manage their data. However, as the size of your database grows, it can become challenging to manage and optimize its performance. This can significantly improve query response times and reduce the load on your database servers.

Cache 112

Cache Open Source Benchmarking Database 112

Percona

OCTOBER 2, 2023

You can get summaries of your database servers, or you verify replication lag on MySQL and PostgreSQL servers. You get thirty-eight scripts that can do any manner of actions, and you will find them very valuable in your regular database work. Caches | 12.4G And did I mention they are open source?! LTS (jammy) Kernel | 6.2.0-33-generic

Cache 97

Cache Database Virtualization Servers 97

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. That’s a heritage of the LAMP model when the same server would host both the database and the web server.

Tuning 133

Tuning Cache Servers Benchmarking 133

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

Dynatrace

DECEMBER 21, 2023

Reduce the volume of data volumes requested from databases (for example, request all, filter in memory). Implement appropriate caching layers (for example, read-only cache for static data). A few examples: Reduce roundtrips between services (for example, the N+1 query pattern). Reduce inter-process communications overhead.

Cloud 208

Cloud Energy Best Practices Cache 208

Dynatrace

MAY 13, 2022

Apache Cassandra is an open-source, distributed, NoSQL database. Microsoft Azure offers multiple ways to manage Apache Cassandra databases. It also removes the need for developers and database administrators to manage infrastructure or update database versions.

Azure 236

Azure Latency Metrics Infrastructure 236

Dynatrace

SEPTEMBER 2, 2020

Database calls. Maybe there are external HTTP Calls in several different places, or dozens of different views with their own database calls. The sqllite database. A common task we do is helping customers instrument Python applications with our OneAgent SDK. Instrument key portions of your application. Web Requests entry points.

Monitoring 244

Monitoring Cache Open Source Database 244

High Scalability

JANUARY 11, 2022

We will use a graph database such as Neo4j to store the information. Additionally, we can use columnar databases like Cassandra to store information like user feeds, activities, and counters. Sample Queries supported by Graph Database. System Components. Component Design. Posting on Instagram. API Design. Data Models.

Design 334

Design Media Storage Logistics 334

Scalegrid

MARCH 23, 2020

Once authentication succeeds, it checks if it already has a cached connection for this database+user combination. Once the client disconnects, Pgpool-II has to decide whether to cache the connection: If it has an empty slot, it caches it. If it does, it returns the connection to the client.

Cache 264

Cache Servers Architecture Processing 264

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

Percona

SEPTEMBER 1, 2023

MySQL triggers are a powerful tool for database administrators and developers, enabling them to automate tasks, enforce data consistency, and respond to events within the database seamlessly. A Trigger in MySQL is a database object that plays a pivotal role in database management.

Cache 59

Cache Database Games Healthcare 59

DZone

NOVEMBER 25, 2019

Monitoring is very essential for modern applications, modern applications are highly distributed in nature and have different dependencies like database, service, caching and many more. You may also like: Monitoring Using Spring Boot 2.0, Prometheus, and Grafana (Part 1 — REST API).

Monitoring 286

Monitoring Cache Metrics Database 286

Percona

AUGUST 8, 2023

Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database. Global caches like the InnoDB buffer pool and MyISAM key cache and session-level caches like the sort buffer, join buffer, random read buffer, etc. Do these queries use more caches?

Traffic 87

Traffic Cache Monitoring Database 87

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

Dynatrace

AUGUST 1, 2022

Interestingly, our partner RedHat reported in 2021 that around 80% of deployed workloads are databases or data caches, storing data in persistent volume claims (PVCs). You also decide to run your database for storing user uploads – such as images or videos – directly in Kubernetes. However, you lack insights into your PVCs.

Storage 187

Storage Database Network Tuning 187

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.

Database 213

Database Latency C++ Scalability 213

InfoQ

JULY 3, 2023

LinkedIn introduced Couchbase as a centralized caching tier for scaling member profile reads to handle increasing traffic that has outgrown their existing database cluster. The new solution achieved over 99% hit rate, helped reduce tail latencies by more than 60% and costs by 10% annually. By Rafal Gancarz

Cache 82

Cache Latency Traffic Database 82