Scalegrid

JULY 8, 2019

If you’re reading this, you likely already know the magnitude of operational tasks associated with maintaining a production deployment, but for a quick recap, there’s provisioning, deprovisioning, master-slave configurations, backups, scaling, upgrades, log rotations, OS patching, and monitoring to name a few. High Availability Deployment.

Azure 219

Azure Cloud Virtualization Database 219

Dynatrace

JANUARY 15, 2020

Having released this functionality in an Preview Release back in September 2019, we’re now happy to announce the General Availability of our Citrix monitoring extension. Synthetic monitoring: Citrix login availability and performance. OneAgent: Citrix StoreFront services discovered and monitored by Dynatrace. Dynatrace news.

Latency 52

Latency Performance Virtualization Infrastructure 52

Percona

MARCH 17, 2023

2022 was an exciting year for Percona Monitoring and Management (PMM). PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. Planning for resources of a PMM Server host instance can be tricky because the numbers can change depending on the DB instances being monitored by PMM. We have tested PMM version 2.33.0

Monitoring 117

Monitoring Scalability Database Cache 117

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Comparison of Kubernetes log ingestion via Fluentd and Dynatrace OneAgent. Log monitoring works out-of-the-box with no further configuration needed. Fluentd can run as a DaemonSet in a Kubernetes cluster.

Metrics 245

Metrics Analytics Software Architecture Open Source 245

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. Solution : Like the freshness example, Dynatrace can monitor the record count over time.

DevOps 272

DevOps Analytics Airlines Metrics 272

Dynatrace

NOVEMBER 4, 2022

This shift makes it harder to monitor, observe, and analyze data across a distributed technology stack. . On average, IT, development, and security teams in the sector rely on nine different monitoring tools to maintain visibility into performance and availability.

Government 147

Government Analytics Cloud Storage 147

Highly Scalable

SEPTEMBER 18, 2012

In comparison with pure anti-entropy, this greatly improves consistency with a relatively small performance penalty. Although the problem above can be solved by means of a global coordinator that monitors a database and builds a global synchronization plan or schedule, decentralized databases take advantage of more fault-tolerant approach.

Database 213

Database Latency C++ Scalability 213

Percona

MARCH 29, 2023

Compression in any database is necessary as it has many advantages, like storage reduction, data transmission time, etc. Storage reduction alone results in significant cost savings, and we can save more data in the same space. By default, MongoDB provides a snappy block compression method for storage and network communication.

Storage 130

Storage Network Open Source Latency 130

Dynatrace

JUNE 8, 2021

Similarly, we must also monitor our IT systems so closely that we know when the smallest thing isn’t working as normal. Much like a sporting athlete, it’s critical to make sure our training sessions are beneficial to our system and that we’re keeping an eye on any weak signals.

Metrics 242

Metrics Tuning Programming Systems 242

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. Synthetic monitoring: Citrix login availability and performance. Image callout numbers.

Latency 164

Latency Performance Virtualization Infrastructure 164

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. Comparison of Kubernetes log ingestion via Fluentd and Dynatrace OneAgent. Log monitoring works out-of-the-box with no further configuration needed. Fluentd can run as a DaemonSet in a Kubernetes cluster.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

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. In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 145

Tuning Cache Servers Benchmarking 145

Percona

JUNE 30, 2023

Additionally, Percona Operator for PostgreSQL version 2 includes expanded options for customizing backup and restore operations, improved monitoring and alerting capabilities, and support for PostgreSQL 15. Below you will find a short FAQ about the new operator and a comparison to version 1.x. In version 1.x,

Availability 107

Availability Open Source Azure Hardware 107

Scalegrid

JANUARY 8, 2024

These tools play a crucial role in allowing IT teams to efficiently monitor and manage multiple cloud platforms using one unified interface, ultimately improving efficiency and productivity. What is the primary benefit of multi-cloud solutions in comparison to hybrid cloud solutions? </p>

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

Percona

JANUARY 19, 2023

It can help us to save costs on storage and backup times. sec) Records: 0 Duplicates: 0 Warnings: 0 mysql> INSERT INTO employees_compressed SELECT * FROM employees; Size comparison: [user1] percona@db1: ~ $ sudo ls -lh /var/lib/mysql/employees/|grep employees -rw-r --. 1 mysql mysql 704M Dec 30 02:28 employees.ibd -rw-r --.

Open Source 111

Open Source Storage Database Big Data 111

Percona

MARCH 30, 2023

Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. Non-relational databases: Instead of tables, non-relational (NoSQL) databases use document-based data storage, column-oriented storage, and graph databases.

Open Source 107

Open Source Database Storage Scalability 107

Highly Scalable

MAY 1, 2012

There is a system that monitors traffic and counts unique visitors for different criteria (visited site, geography, etc.) The straightforward approaches for implementation of this system are: Log all events in a large storage like Hadoop and compute unique visitor periodically using heavy MapReduce jobs or whatever. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Percona

JULY 3, 2023

Also, please find below the related blogs for reference: PostgreSQL Sharding: An Overview and MongoDB Comparison Performing ETL Using Inheritance in PostgreSQL Percona Distribution for PostgreSQL provides the best and most critical enterprise components from the open-source community in a single distribution, designed and tested to work together.

Storage 98

Storage Database Performance Open Source 98

ACM Sigarch

OCTOBER 4, 2018

Further, depending on the type of attacks we are concerned with, we typically assume that the adversary normally cannot tamper with or monitor state within the trust boundary. It has been shown how realistic adversaries can easily monitor system behavior, e.g., through tapping on a connection, at that scale.

Systems 48

Systems Hardware Storage Architecture 48

Percona

SEPTEMBER 1, 2023

Character encoding refers to the method used to represent characters as binary data for storage and transmission. How Character Sets Affect Data Storage and Retrieval You can specify the character set for each column when you create a table, indicating the set of characters allowed in that column.

Performance 52

Performance Storage Social Media Database 52

Percona

JUNE 4, 2023

In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL ). MariaDB retains compatibility with MySQL, offers support for different programming languages, including Python, PHP, Java, and Perl, and works with all major open source storage engines such as MyRocks, Aria, and InnoDB.

Open Source 52

Open Source Servers Storage Scalability 52

O'Reilly

MAY 19, 2020

A comparison of respondent organization size and share of applications hosted in the cloud. Interestingly, multi-cloud, or the use of multiple cloud computing and storage services in a single homogeneous network architecture, had the fewest users (24% of the respondents). We discovered obvious examples of correlation (i.e.,

Cloud 144

Cloud Serverless AWS DevOps 144

Percona

DECEMBER 20, 2018

I found the comparison of InnoDB vs. MyISAM quite interesting, and I’ll use it in this post. As the MyRocks storage engine (based on the RocksDB key-value store [link] ) is now available as part of Percona Server for MySQL 5.7 , I wanted to take a look at how it performs on a relatively high-end server and SSD storage.

Database 51

Database Tuning Performance AWS 51

SQL Performance

AUGUST 23, 2019

The optimization can be monitored with the extended event column_store_expression_filter_bitmap_set. A further optimization exists to convert the compressed dictionary bitmap to a comparison filter if the dictionary bitmap represents a single contiguous range of values. LTGT for a less than/greater than comparison).

Servers 75

Servers Engineering Efficiency Retail 75

Testsigma

DECEMBER 1, 2020

The guidelines or rules for designing a testing framework may include coding standards, handling methods for test data, the process for test results storage, the process for accessing external resources, object repositories, etc. Check the detailed comparison between data-driven frameworks and keyword-driven frameworks here: [link].

Testing 62

Testing Website DevOps Mobile 62

SQL Performance

APRIL 5, 2019

The more violations, the worse the clustered unique index performs by comparison. For a clustered unique index with IGNORE_DUP_KEY set, duplicates are handled by the storage engine. The query processor removes duplicates from the insert stream, ensuring that no duplicates are seen by the storage engine. The trade-off.

Storage 53

Storage Servers Engineering Testing 53

SQL Server According to Bob

MARCH 27, 2017

When SQL Server is started on Linux the monitoring process (/opt/mssql/bin/sqlservr) is present. Here are some size example comparisons (8 CPU, 20GB RAM). sqlservr (MONITOR) –——————- sqlservr.exe. <—- Often resulting in a dump size of ~30MB or less. minidump-2-core.

Servers 40

Servers Virtualization Storage Design 40

HammerDB

OCTOBER 12, 2018

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . monitoring. HammerDB difference from Sysbench. Otherwise find the file ut0ut.cc perf special.

Best Practices 40

Best Practices Scalability Performance C++ 40

Alex Russell

JULY 14, 2021

Apps can also monitor user input, resulting DOM, and system auto-filled credentials. Here, native apps are doing work related to their core function; storage and tracking of user data are squarely within the four corners of the app's natural responsibilities.

Google 134

Google Mobile Engineering Internet 134

Speed Curve

DECEMBER 11, 2019

When it comes to real user monitoring (RUM), I’m convinced that the marginal cost of collection, computation, storage, etc. While certainly not an exhaustive list, here are some questions you might ask when looking at implementing a sampled approach to real user monitoring. Are sessions important to you?

Retail 59

Retail Traffic Media Mobile 59

SQL Server According to Bob

JANUARY 11, 2020

​​ The storage ​​ space that is required ​​ for the sparse file is only that of the actual bytes written to the file and not the ​​ maximum ​​ file ​​ size.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Good for raising alarms and monitoring changes over time, not so good for understanding user experience. Vitaly Friedman.

Performance 145

Performance Cache Media Metrics 145

Dynatrace

MARCH 11, 2025

The resulting visibility enhances collaboration with transparent data, increases productivity by automating monitoring tasks, and enables teams to detect issues proactively. Open the Storage Management app in your tenant: Select CTRL/CMD + K and enter Storage. Figure 5: Ready made Dashboard to monitor ingested ADO logs.

Azure 173

Azure DevOps Storage Monitoring 173

Smashing Magazine

JANUARY 7, 2019

Testing And Monitoring. To get a good first impression of how your competitors perform, you can use Chrome UX Report ( CrUX , a ready-made RUM data set, video introduction by Ilya Grigorik), Speed Scorecard (also provides a revenue impact estimator), Real User Experience Test Comparison or SiteSpeed CI (based on synthetic testing).

Performance 111

Performance Cache Network Metrics 111

Smashing Magazine

JANUARY 6, 2020

Testing And Monitoring. To get a good first impression of how your competitors perform, you can use Chrome UX Report ( CrUX , a ready-made RUM data set, video introduction by Ilya Grigorik and detailed guide by Rick Viscomi) or Treo Sites , a RUM monitoring tool that is powered by Chrome UX Report. Getting Ready: Planning And Metrics.

Performance 112

Performance Cache Servers Network 112