Scalegrid

JULY 17, 2020

JSONB storage has some drawbacks vs. traditional columns: PostreSQL does not store column statistics for JSONB columns. JSONB storage results in a larger storage footprint. JSONB storage does not deduplicate the key names in the JSON. If that doesn’t work, the data is moved to out-of-line storage.

Storage 321

Storage Database Efficiency Processing 321

Scalegrid

JULY 8, 2019

In this post, we outline the best way to host MySQL on Azure , including managed solutions, instance types, high availability replication, backup, and disk types to use to optimize your cloud database performance. High Availability Deployment. So, how do we configure high availability for MySQL on Azure?

Azure 219

Azure Cloud Virtualization Database 219

Scalegrid

JUNE 22, 2020

ScaleGrid provides 30% more storage on average vs. DigitalOcean for MySQL at the same affordable price. We are going to use a common, popular plan size using the below configurations for this performance benchmark: Comparison Overview. Compare Latency. Compare Pricing. MySQL DigitalOcean Performance Benchmark. DigitalOcean.

Database 217

Database Benchmarking Latency Performance 217

Dynatrace

NOVEMBER 28, 2023

Predictive traffic analysis Deploying OneAgent within the staging environment facilitates the availability of telemetry data for analysis by Davis AI. The framework outlined above provides a comprehensive view of the deployment process and facilitates comparisons across different releases.

Traffic 270

Traffic Best Practices Strategy Engineering 270

Dynatrace

JANUARY 16, 2023

In comparison, on-premises clusters have more and larger nodes: on average, 9 nodes with 32 to 64 GB of memory. That trend will likely continue as Kubernetes security awareness further rises and a new class of security solutions becomes available. Kubernetes infrastructure models differ between cloud and on-premises.

Open Source 351

Open Source Java Operating System Programming 351

Scalegrid

JULY 13, 2020

Compare PostgreSQL vs. Oracle functionality across available tools, capabilities and services. Not available. Not available. Not available. Comparison Overview. See how open source PostgreSQL Community version costs compare to Oracle Standard Edition and Oracle Enterprise Edition. Compare Functionality. PostgreSQL.

Open Source 244

Open Source Tuning C++ Database 244

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. One can perform this comparison live on the request path or offline based on the latency requirements of the particular use case.

Traffic 287

Traffic Metrics Systems Strategy 287

The Netflix TechBlog

NOVEMBER 29, 2023

HDR was launched at Netflix in 2016 and the number of titles available in HDR has been growing ever since. Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10.

Open Source 262

Open Source Software Engineering Internet Internet 262

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice.

Cache 130

Cache Storage Architecture Scalability 130

Percona

JUNE 30, 2023

Percona, a leading provider of open-source database software and services, announced the general availability of Percona Operator for PostgreSQL version 2. IT teams must ensure high availability, scalability, and security, all while ensuring that their PostgreSQL clusters perform optimally. In version 1.x,

Availability 100

Availability Open Source Azure Hardware 100

Highly Scalable

SEPTEMBER 18, 2012

Historically, NoSQL paid a lot of attention to tradeoffs between consistency, fault-tolerance and performance to serve geographically distributed systems, low-latency or highly available applications. However, consistency is a very expensive thing in distributed systems, so it can be traded not only to availability. Data Placement.

Database 213

Database Latency C++ Scalability 213

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation. Get started today.

Metrics 191

Metrics Analytics Software Architecture Open Source 191

Dynatrace

NOVEMBER 4, 2022

On average, IT, development, and security teams in the sector rely on nine different monitoring tools to maintain visibility into performance and availability. When issues arise, teams can’t depend on these tools for quick resolutions, because data comparisons are difficult and contribute to delays.

Government 147

Government Analytics Cloud Storage 147

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 115

Storage Network Open Source Latency 115

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. Comparison of these metrics between VDAs characterizes load balancing efficiency.

Latency 37

Latency Performance Virtualization Infrastructure 37

Dynatrace

MAY 9, 2019

Consequently, each new version of OneAgent for Windows consumed double storage space: one for the *.exe This storage space was consumed not only on our own infrastructure but also on each of the Dynatrace cluster nodes in the case of Managed deployments. ” Briefly, before the change, the *.exe msi artifacts were built separately.

Storage 117

Storage Tuning Traffic Architecture 117

Dynatrace

JUNE 8, 2021

Observability is a topic at the top of mind for all architects, Site Reliability Engineers (SREs), and more – each wanting to use observability to proactively detect issues and guarantee the best experience and availability to users. Metric 2 (Number of requests in error): It’s already available in the Dynatrace built-in metric.

Metrics 176

Metrics Tuning Programming Systems 176

Percona

DECEMBER 28, 2023

Its functionality has been significantly improved in comparison to Audit Log and currently mirrors the functionality of the MySQL Enterprise Audit plugin. 26 , the Audit Log Filter is available in a technical preview mode. Compress the audit log files to reduce the storage space occupied with log files.

Open Source 111

Open Source Database Servers Storage 111

The Netflix TechBlog

NOVEMBER 2, 2021

Perceptual quality measurements are used to drive video encoding optimizations , perform video codec comparisons , carry out A/B testing and optimize streaming QoE decisions to mention a few. Here, based on the video length, the throughput and latency requirements, available scale etc., The workflow is initiated. 4c & 5.

Media 180

Media Innovation Metrics Latency 180

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. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 203

DevOps Analytics Airlines Metrics 203

Highly Scalable

MARCH 1, 2012

In this article I provide a short comparison of NoSQL system families from the data modeling point of view and digest several common modeling techniques. And this was where a new evolution of data models began: Key-Value storage is a very simplistic, but very powerful model. The main design theme is “ What answers do I have?”

Database 279

Database Ecommerce Efficiency Engineering 279

Percona

DECEMBER 11, 2023

A Dedicated Log Volume (DLV) is a specialized storage volume designed to house database transaction logs separately from the volume containing the database tables. DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads.

AWS 104

AWS Benchmarking Performance Traffic 104

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation. Get started today.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

Scalegrid

JANUARY 8, 2024

This enables organizations to optimize their use of the variety of available clouds to efficiently meet specific requirements. What is the primary benefit of multi-cloud solutions in comparison to hybrid cloud solutions? What is the difference between cross-cloud and multi-cloud? </p>

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Highly Scalable

APRIL 2, 2012

Besides this, each product has some transient information like in-stock availability that is a subject of frequent updates (every 5 minutes or so). It is important that this style of navigation assumes high interactivity – each selection leads to recomputing of all available facets, their cardinalities, and products in a result set.

Ecommerce 100

Ecommerce Cache Storage Architecture 100

Percona

MARCH 17, 2023

PMM2 uses VictoriaMetrics (VM) as its metrics storage engine. The cache size depends on the available memory for VictoriaMetrics in the host system; hence planning for enough RAM on the host system is important for better performance to avoid having a high percentage of slow inserts.

Monitoring 106

Monitoring Scalability Database Cache 106

The Morning Paper

AUGUST 29, 2019

We focused on OLAP-oriented parallel data warehouse products available for AWS and restricted our attention to commercially available systems. For cost calculations, the costs are a combination of compute costs, storage costs, data scan costs, and software license costs. Key findings. Serverless o?erings Query performance.

Architecture 76

Architecture Cloud Storage Serverless 76

Percona

APRIL 7, 2023

MySQL comes pre-configured to be conservative instead of making the most of the resources available in the server. In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. MySQL (B) 2517529 2610323 389048 5516900 194140 11523.48 PostgreSQL (A) 2194763 2275999 344528 4815290 169235 14302.94

Tuning 139

Tuning Cache Servers Benchmarking 139

CSS - Tricks

DECEMBER 23, 2020

If you don’t use Chrome or Chromium-based browsers, like Microsoft Edge or Brave, you can run Lighthouse through its web interface but it only works with publicly available web pages. Once the CLI has been installed successfully, ru lhci --help to view all the available commands that the tool provides.

Performance 79

Performance Storage Servers Virtualization 79

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. OneAgent: SAP infrastructure performance.

Latency 119

Latency Performance Virtualization Infrastructure 119

Percona

MARCH 30, 2023

In simple terms, an open source database is this: It’s a database with source code that is free and available to all. Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. What is an open source database?

Open Source 81

Open Source Database Storage Scalability 81

The Morning Paper

JANUARY 30, 2020

The current system assumes an application specific regression model is available on the servers which can predict processing time given the current parameters of the job (e.g. These use their regression models to estimate processing time (which will depend on the hardware available, current load, etc.). in the cloud).

Mobile 104

Mobile Cloud Latency Games 104

Percona

DECEMBER 27, 2022

Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device. Disk-level encryption is a security measure that encrypts all data stored on a disk or storage device. Cluster-level encryption is a security measure that encrypts data stored in a cluster of servers or storage devices. .

Database 94

Database Storage Servers Strategy 94

Percona

JULY 13, 2023

Here is an example comparison of utf8 and utf8mb4 using MySQL tables and queries: MySQL 5.7 Table: To ensure proper storage of emojis, let’s create the table columns using the utf8mb4 character set. This makes it a good choice for storing complex text data, text searches, and comparisons.

Database 95

Database Open Source Games Engineering 95

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 --. It is available under a paid subscription.

Open Source 95

Open Source Storage Database Big Data 95

Alex Russell

APRIL 29, 2021

This post mines publicly available data on the pace of compatibility fixes and feature additions to assess the claim. The information it captures is, however, available going back somewhat further, providing a fuller picture of the trend lines of engine completeness. Count of APIs available from JavaScript by Web Confluence.

Media 145

Media Games Education Engineering 145

SQL Performance

SEPTEMBER 5, 2019

This table uses columnstore for its primary storage to produce batch mode execution later on. Here is the new SUM plan for comparison with the one from the first test: All 102,400 rows (in 114 batches) are emitted by the Columnstore Index Scan , processed by the Compute Scalar , and sent to the Hash Aggregate. c1 = @Start + N.

Performance 81

Performance C++ Storage Servers 81