Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

FEBRUARY 9, 2021

As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. Enable the storage types, select Add property. Promoting values.

Analytics 138

Analytics Mobile Airlines Monitoring 138

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

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. Firstly, managing virtual networks can be complex as networking in a virtual environment differs significantly from traditional networking.

Efficiency 214

Efficiency Virtualization Hardware Performance 214

Scalegrid

JANUARY 20, 2020

Follower clusters are a ScaleGrid feature that allows you to keep two independent database systems (of the same type) in sync. Note: ScaleGrid implements follower clusters using storage snapshots. It is not available for our in-memory database offerings like hosting for Redis™*. Database Dev/Test Setup. Data Analytics.

Analytics 185

Analytics Storage Database Systems 185

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. These services are tailored to meet various business requirements.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

High Scalability

JANUARY 11, 2022

When the server receives a request for an action (post, like etc.) 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. High Level Design. Architecture. System Components. Component Design.

Design 334

Design Media Storage Logistics 334

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. PMM monitors the MySQL uptime: show global status like 'uptime'; Indicates the amount of time (seconds) the MySQL server has been running since the last restart.

Performance 106

Performance Monitoring Traffic Database 106

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Multiple Prometheus servers might be required, creating significant maintenance efforts. Dynatrace news. Easily gain actionable insights with the Dynatrace Extension for Prometheus metrics.

Technology 217

Technology Technology Metrics Infrastructure 217

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., ” For just the YouTube Analytics application, we’re looking at metrics like this, with a 99%-ile latency of 412ms: Embedded statistics use cases include the various counters such as views, likes, and subscriptions that are included in pages.

Analytics 75

Analytics Latency Cache Google 75

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 101

Monitoring Scalability Cache Database 101

Percona

AUGUST 17, 2023

PostgreSQL is open source relational database management software. It’s used for data management (shocker), application development, and data analytics. In another survey, using multiple metrics for overall popularity, PostgreSQL ranks as the fourth most popular database management system ( DB-Engines, March 2023 ).

Open Source 81

Open Source Healthcare Social Media Database 81

High Scalability

APRIL 3, 2019

PostgreSQL is an open source object-relational database system that has soared in popularity over the past 30 years from its active, loyal, and growing community. For the 2nd year in a row, PostgreSQL has kept the title of #1 fastest growing database in the world according to the DBMS of the Year report by the experts at DB-Engines.

Database 177

Database Cloud Open Source Systems 177

SQL Server According to Bob

DECEMBER 18, 2018

SQL Server relies on Forced-Unit-Access (Fua) I/O subsystem capabilities to provide data durability, detailed in the following documents: SQL Server 2000 I/O Basic and SQL Server I/O Basics, Chapter 2. Be sure to deploy SQL Server 2017 CU6 or newer for best data durability and performance results. “. 4 Socket, TPCC.

Servers 90

Servers Media Cache Storage 90

Percona

JUNE 4, 2023

In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL ). Introduction: MariaDB vs. MySQL The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process. What is MariaDB?

Open Source 52

Open Source Servers Storage Scalability 52

ScaleOut Software

JULY 19, 2021

Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The Limitations of Today’s Streaming Analytics. How are we managing the torrent of telemetry that flows into analytics systems from these devices? The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

Percona

JULY 17, 2023

MongoDB Community Edition software might set the stage for achieving your high-volume database goals, but you quickly learn that its features fall short of your enterprise needs. The popularity of MongoDB MongoDB has emerged as a popular database platform. 5 among all database management systems and No. It ranks No.

Open Source 78

Open Source Database Scalability Software 78

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? MySQL does.

Cache 93

Cache Efficiency Database Monitoring 93

SQL Performance

APRIL 17, 2020

When we ask SQL Server to change some aspect of a column's definition, it needs to check that the existing data is compatible with the new definition. Depending on the type of change and the configuration of the database, an ALTER COLUMN command will need to perform one of the following actions: Change metadata in system tables only.

Servers 63

Servers Database Testing Efficiency 63

All Things Distributed

AUGUST 18, 2011

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. Hadoop is quickly becoming the preferred tool for this type of large scale data analytics.

Big Data 111

Big Data Analytics AWS Cloud 111

Percona

SEPTEMBER 14, 2023

MySQL is an outstanding open source transactional database used by most web-based applications and is very good at handling OLTP workloads. However, modern business is very much dependent on analytical data. ClickHouse is a columnar database that handles analytical workloads quickly. We can do the filter as well.)

Engineering 91

Engineering Database Servers Analytics 91

Percona

DECEMBER 14, 2022

In the database world there are essentially two types of database operations: Online Transaction Processing , OLTP : Online transaction processing applications have high throughput and are insert- or update-intensive in database management. Columnar storage. OLTP vs OLAP. Let’s get back to basics. consolidation (roll-up).

Database 92

Database Analytics Storage Processing 92

All Things Distributed

AUGUST 17, 2011

No Server Required - Jekyll & Amazon S3. As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. I took my time to figure out what weblog CMS I was going to use to free me from having to run a server.

Servers 126

Servers Social Media AWS Website 126

Scalegrid

OCTOBER 7, 2019

As this open source database continues to pull new users from expensive commercial database management systems like Oracle, DB2 and SQL Server, organizations are adopting new approaches and evolving their own to maintain the exceptional performance of their SQL deployments. of enterprise organizations on average.

Strategy 182

Strategy Cloud Java Open Source 182

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. This information can be a mix of analytical (OLAP) queries (i.e. Inserts are efficient for bulk inserts only.

Database 40

Database Analytics Blockchain Healthcare 40

SQL Performance

NOVEMBER 18, 2019

Migrating an on-premises SQL Server instance to an Azure Virtual Machine (VM) is a common method to migrate to Azure. IT professionals are familiar with scoping the size of VMs with regards to vCPU, memory, and storage capacity. The various types are: General purpose – Balanced CPU-to-memory ratio, small to medium databases.

Azure 76

Azure Benchmarking Storage Virtualization 76

Dynatrace

APRIL 21, 2022

Now you can extend your observability into data acquired from an Oracle Database using SQL queries. Improved error handling for unexpected storage issues. (APM-360014). High memory usage or potential OutOfMemory if the server is running without Elasticsearch connection for a prolonged time. (APM-362484). Extensions.

Azure 216

Azure Metrics AWS Monitoring 216

HammerDB

JUNE 27, 2022

HammerDB is a software application for database benchmarking. It enables the user to measure database performance and make comparative judgements about database hardware and software. Databases are highly sophisticated software, and to design and run a fair benchmark workload is a complex undertaking. The HammerDB name.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

All Things Distributed

AUGUST 19, 2011

Job Openings in AWS - Senior Leader in Database Services. This week it is an opening for senior leaders with AWS Database Services. AWS Database Services is responsible for setting the database strategy and delivering distributed structured storage services to our AWS customers. Comments (). Contact Info.

AWS 75

AWS Database Storage Scalability 75

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. PostgreSQL & Elastic for data storage. Robert’s AWS & EKS admin team are monitoring most services with that capability but found it beneficial for them to have Dynatrace monitor Elastic File Storage (EFS). 3 Log Analytics. Full-stack observability. Service mash insights.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Smashing Magazine

SEPTEMBER 20, 2021

When your content is delivered by other means, from other servers or platforms, it can put the user experience and commercial relationship you have built up with your users at risk. We explore how you can use web analytics or real user measurement data on your website to get insight into any imposter domains re-publishing your work.

Website 89

Website Analytics Google Cache 89

Dotcom-Montior

MAY 12, 2020

Websites are now more than just the storage and retrieval of information to present content to users. Early web applications involved less on client-side behavior and more server-side for all its navigation, query handling, and updates. No response from the server within the determined timeout. Connection closed by the server.

Monitoring 63

Monitoring Entertainment Hardware Latency 63

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times. They transparently distribute stored objects across the cluster’s servers and ensure that data is not lost if a server or network component fails.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

The Netflix TechBlog

JULY 30, 2019

The Netflix Media Database (NMDB) is one such example. External Payload Storage External payload storage was implemented to prevent the usage of Conductor as a data persistence system and to reduce the pressure on its backend datastore. The ability to dynamically create and execute workflows removes this friction.

Lambda 189

Lambda Media Open Source Metrics 189

Percona

JULY 15, 2023

One very common problem when trying to optimize a database environment is index usage. Introduction to MySQL Indexes Indexes in MySQL are database structures used to optimize data retrieval speed and efficiency. Need help managing complex database environments? This structure makes for faster data access. So, what to do then?

Virtualization 77

Virtualization Speed Database Efficiency 77