Scalegrid

APRIL 28, 2020

Since database hosting is more dependent on memory (RAM) than storage, we are going to compare various instance sizes ranging from just 1GB of RAM up to 64GB of RAM so you can see how costs vary across different application workloads. Here are the configurations for this comparison: Plan. Is my database cluster still highly available?

Azure 344

Azure AWS Database Latency 344

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 342

Open Source Java Operating System Programming 342

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

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 116

Storage Tuning Traffic Architecture 116

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 95

Monitoring Scalability Cache Database 95

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 166

Metrics Tuning Programming Systems 166

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 90

Database Games Open Source Engineering 90

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

Scalegrid

SEPTEMBER 16, 2019

It has one of the best editors – multiple data views are available to support a variety of user needs. Provides advanced security for your databases by storing passwords in secured storage protected by a master password. 2019 Comparison Click To Tweet. Let’s summarize our top PostgreSQL GUI comparison. Conclusion.

Open Source 262

Open Source Database Azure Cloud 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 Scalability Architecture 130

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 85

Open Source Storage Database Big Data 85

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

The Morning Paper

OCTOBER 22, 2019

Reason #1 is interesting in as much as if you go looking hard enough you’re bound to find something, as in the well-known multiple-comparisons problem. There’s a handy comparison of the three here. The tools used by the participants were constrained by what was approved / available within the environment they were working in.

Programming 40

Programming Software Engineering Database Analytics 40

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

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 40

Database Tuning Performance AWS 40

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. This allows you to do things like increase the sample rate for an A/B test group for comparison with a control group when the test group is extremely small.

Retail 59

Retail Traffic Media Metrics 59

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 279

Traffic Metrics Systems Strategy 279

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

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 105

Storage Network Open Source Latency 105

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

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 93

AWS Benchmarking Performance Traffic 93

Scalegrid

JUNE 4, 2020

On average, ScaleGrid provides over 30% more storage vs. DigitalOcean for PostgreSQL at the same affordable price. Now, let’s take a look at the throughput and latency performance of our comparison. We used 50% reads and 50% writes in this comparison. We used 80% reads and 20% writes in this comparison. Compare Pricing.

Database 230

Database Latency Benchmarking Performance 230

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

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

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 179

Metrics Analytics Software Architecture Open Source 179

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 194

DevOps Analytics Airlines Metrics 194

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 78

Performance Storage Servers Virtualization 78

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

Sutter's Mill

MARCH 11, 2024

Some rules, such as ones that rely on interprocedural analysis of full call trees, are inherently nondeterministic (because an implementation gives up when fully evaluating a case exceeds the space and time available; a.k.a. best effort” analysis). Initialization safety Enforce initialization-before-use by default.

C++ 139

C++ Programming Code Java 139

Percona

MAY 2, 2023

Hence, the node would still be available for other operations. Cons of logical backups As it reads all data, it can be slow and will require disk reads too for databases that are larger than the RAM available for the WT cache—the WT cache pressure increases, which slows down the performance. Records backup progress logging.

Best Practices 52

Best Practices Database Storage Servers 52

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 93

Database Storage Servers Strategy 93

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 73

Open Source Database Storage Scalability 73

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 171

Media Innovation Metrics Latency 171

HammerDB

JUNE 27, 2022

These factors meant that often when looking for database performance information, the results for a particular combination of software and hardware were not available. Supported Databases. Derived Workloads. Cached vs Scaled Workloads.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

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 133

Tuning Cache Servers Benchmarking 133

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

The solution to this challenge is to use scalable, memory-based data storage for fast-changing data so that web sites can keep up with exploding workloads. This object-oriented approach allows distributed caches to be viewed as more of an extension of an application’s in-memory data storage than as a separate storage tier.

Cache 52

Cache Storage Servers Database 52