Dynatrace

MARCH 20, 2024

Insufficient CPU and memory allocation to pods can lead to resource contention and stop Pods from being created. External dependencies Many applications rely on external services, such as databases, APIs, or third-party services. Unfortunately, Kubernetes deployments can be fraught with challenges beyond the surface level.

Open Source 267

Open Source Hardware DevOps Infrastructure 267

Dynatrace

OCTOBER 23, 2023

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. What is Microsoft Hyper-V? Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms.

Efficiency 214

Efficiency Virtualization Hardware Performance 214

Percona

SEPTEMBER 28, 2023

Memory Our usual recommendation is to use specific memory parameters, which we suggest to ensure optimal performance. To prevent out-of-memory (OOM) episodes, the OOM Score has to be set to -800. If you assign -1000 to it, it can use 100% memory and avoid getting terminated by OOM killer.

Servers 117

Servers Best Practices Database Open Source 117

DZone

MAY 1, 2023

A cache can be defined in a basic way as an intermediate memory between the data consumer and the data producer that stores and provides the data that will be accessed many times by the same/different consumers. In this article, we are going to describe what is a cache and explain specific use cases focusing on the frontend and client side.

Cache 141

Cache Strategy Latency Operating System 141

Percona

OCTOBER 3, 2023

Transparent Huge Pages (THP) is a memory management feature in Linux operating systems that aims to enhance system performance. While THP can be beneficial for many applications, enabling it on a database server could have unintended consequences. As such, it is generally recommended to disable THP for most database workloads.

Database 93

Database Servers Open Source C++ 93

Percona

DECEMBER 20, 2023

Modern servers operate with terabytes of RAM, and by default, processors work with virtual memory address translation for each 4KB page. Please check out the Why Linux HugePages are Super Important for Database Servers: A Case with PostgreSQL blog post for more information. Kubectl helps to check the amount of huge pages available.

C++ 103

C++ Virtualization Benchmarking Database 103

Scalegrid

AUGUST 26, 2020

Microsoft Azure is one of the most popular cloud providers in the world, and a natural fit for database hosting on applications leveraging Microsoft across their infrastructure. MySQL is the number one open source database that’s commonly hosted through Azure instances. We measure latency in ms 95th percentile latency.

Azure 299

Azure Benchmarking Database Latency 299

Dynatrace

DECEMBER 9, 2020

If you’re running SAP, you’re likely already familiar with the HANA relational database management system. However, if you’re an operations engineer who’s been tasked with migrating to HANA from a legacy database system, you’ll need to get up to speed quickly. Avoid false positives with auto-adaptive baselining.

Infrastructure 200

Infrastructure Database Monitoring Metrics 200

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 108

Performance Monitoring Traffic Database 108

Scalegrid

APRIL 28, 2020

If you’re hosting your databases in the cloud, choosing the right cloud service provider is a significant decision to make for your long-term hosting costs. Over the last few weeks, we have been inundated with requests from SMB customers looking to improve the ROI on their database hosting. MongoDB® Database. EC2 instances.

Azure 344

Azure AWS Database Latency 344

Dynatrace

DECEMBER 21, 2023

The Application Performance Management (APM) best practices we recommend to optimize user experience and application performance—driven initially by on-premises workloads and finite compute capacity—contribute to improved computational efficiency by reducing CPU cycles, optimizing inter-process communications, and lowering memory footprints.

Cloud 209

Cloud Energy Best Practices Cache 209

Percona

JUNE 20, 2023

” Basic understanding In order to understand segmentation fault, it is necessary to understand memory management methods for processes. .” ” Basic understanding In order to understand segmentation fault, it is necessary to understand memory management methods for processes. Here, a segment table manages everything.

Programming 87

Programming C++ Database Virtualization 87

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. It also shows how data observability relates to business outcomes as organizations embrace generative AI.

Cache 204

Cache Azure Infrastructure Monitoring 204

All Things Distributed

NOVEMBER 16, 2021

We dive into the design of Amazon MemoryDB for Redis, a strongly-consistent, Redis-compatible, in-memory database service for ultra-fast performance.

Speed 182

Speed Database Design Performance 182

Percona

MAY 2, 2023

At the same time that I see database engineers relying on the tool, sites such as StackOverflow are banning ChatGPT. ChatGPT: The InnoDB buffer pool is used by MySQL to cache frequently accessed data in memory. It is recommended to set the buffer pool size to a value that is large enough to hold your entire dataset in memory.

Social Media 124

Social Media Database Servers Cache 124

DZone

MARCH 16, 2020

This article compares different options for the in-memory maps and their performances in order for an application to move away from traditional RDBMS tables for frequently accessed data. 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

DZone

JULY 1, 2019

Memcached is an easy-to-use, high-performance, in-memory data store. It offers a mature, scalable, open-source solution for delivering sub-millisecond response times, unlike databases that store data on disk or SSDs, Memcached keeps its data in memory. Installing Memcached Using Docker.

Java 203

Java Performance Open Source Scalability 203

Percona

APRIL 14, 2023

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. So, how do you know if your hot data is in memory?

Cache 95

Cache Efficiency Database Monitoring 95

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 104

Monitoring Scalability Cache Database 104

Dynatrace

DECEMBER 18, 2023

An essential observability engineering tool Prometheus is an open-source telemetry database service that records and stores custom software metrics and provides a standardized interface to pull (in Prometheus terms, “scrape”) data using HTTP requests. According to the 2023 Kubernetes in the Wild report , 65% of organizations use Prometheus.

Metrics 178

Metrics Engineering Energy Tuning 178

DZone

OCTOBER 1, 2019

You may also like: Optimizing Database Performance and Efficiency. One technique at hand for minimizing memory allocations is memory pooling. Solve performance hotspots like solving a puzzle. Introduction. Igneous is an unstructured data management company. We move bytes back and forth — that’s what we do.

Performance 180

Performance Programming Efficiency Database 180

Dynatrace

JUNE 12, 2020

Understand why communication with the database takes a long time. Find out whether the application manages memory properly. This provides you with database visibility, threading support, outgoing call monitoring, and more. Full PHP insights into database connections and more. Dynatrace news. to PHP 7.3.

Code 133

Code Monitoring Database Metrics 133

Scalegrid

JANUARY 19, 2024

For example, memory-resident databases without persistent disks, such as Redis cluster setups or Apache Spark installations, rely on stand-alone machines. This article dives straight into what triggers a rollback in MongoDB, the risks it carries, and concrete steps you can take to both prevent and recover from one.

Database 130

Database Network Servers Monitoring 130

Alex Podelko

FEBRUARY 28, 2021

Through the Looking Glass: Analyzing the interplay between memory, disk, and read performance. Impact of Available IOPS On Your Database Performance. (I admired MongoDB classes long before I started to work there – in 2013, 8 years ago, I wrote Revolution in Vendor Education? How MongoDB uses MongoDB at Scale.

Performance 200

Performance IoT Education Best Practices 200

Percona

APRIL 26, 2023

When you do a database restore, you want to have it done as soon as possible. And the database is unusable until the restore is done. Our tests showed physical database restores up to 5x faster than the logical ones. For that, we made a special memory buffer. So every minute matters. But can we do better?

Speed 83

Speed Storage AWS Azure 83

Scalegrid

NOVEMBER 26, 2020

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

Cache 130

Cache Azure Benchmarking Performance 130

HammerDB

APRIL 4, 2023

Hammerpost is a HammerDB contribution project from @dineshkumar02 that wraps HammerDB with an automated framework to rapidly prototype multiple combinations of database parameters to find the optimal configuration for any specific environment. Firstly, we will check that we can start our database. remote: Enumerating objects: 38, done.

Benchmarking 84

Benchmarking Database Metrics Code 84

Percona

MARCH 16, 2023

Let’s look at how you can run Percona databases on Kubernetes, the easy way. Chances are that if you are using the latest Percona Monitoring and Management (PMM) version, you have seen the availability of the new Percona Database as a Service (DBaaS). This tool creates the infrastructure in an AWS account. Why ask for the region?

Infrastructure 97

Infrastructure Database AWS Monitoring 97

Percona

MAY 1, 2023

It has default settings for all of the database parameters. 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. What is PostgreSQL performance tuning?

Tuning 52

Tuning Efficiency Database Performance 52

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

Scalegrid

JANUARY 24, 2019

January 24, 2019 – ScaleGrid , a rising leader in the Database-as-a-Service (DBaaS) space, has just announced support for Redis Clusters on their fully managed Redis hosting plans. With the introduction of Redis Clusters at ScaleGrid, Redis users can now easily create sharded clusters with a few simple clicks when setting up their databases.

Availability 113

Availability Open Source AWS DevOps 113

Percona

JULY 25, 2023

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. Every table remains in memory until XtraBackup exits. Occupies memory and can lead to OOM. For that, we have to use undo logs.

Cache 88

Cache Benchmarking Servers Design 88

Percona

JANUARY 11, 2023

PostgreSQL is a powerful and flexible open-source database management system that allows users to install and use extensions to add additional functionality to their databases. The pg_stat_monitor is a PostgreSQL extension that provides real-time monitoring and analysis of database activity. to version 2.0, –2.0.sql

Database 104

Database Open Source Monitoring Servers 104

DZone

JULY 6, 2020

TiDB is an open-source, distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. Through a chain reaction of events, the CPU load maxes out, out of memory errors occur, network latency increases, and disk writes and reads slow down. However, reality is often unsatisfactory.

Open Source 130

Open Source Latency Traffic Analytics 130

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. And did I mention they are open source?! And you can get it from us at Percona. virtual = 2.2G

Cache 104

Cache Database Virtualization Servers 104

Percona

JUNE 23, 2023

Both MySQL and PostgreSQL do the basics very well From a high level, one relational database management system is pretty much like every other relational database management system. These problems have been rectified, but the old reputation lives on in the annals of the Internet and the memories of critics.

Database 122

Database Transportation Servers Cloud 122

Dynatrace

AUGUST 26, 2020

Support for high memory instances. Say, for example, that you have some unused high memory instances (1 TB RAM / 128 vCPU cores or higher). Before Dynatrace Managed 1.198 , we had no option other than to set a threshold of 512 GB RAM to ensure optimum memory utilization. ” Bernd Greifeneder, Dynatrace CTO.

Performance 150

Performance Hardware Java Storage 150