High Scalability

FEBRUARY 17, 2021

This is guest post by Sachin Sinha who is passionate about data, analytics and machine learning at scale. This article is to simply report the YCSB bench test results in detail for five NoSQL databases namely Redis, MongoDB, Couchbase, Yugabyte and BangDB and compare the result side by side. Author & founder of BangDB. About YCSB.

Benchmarking 308

Benchmarking Latency C++ Database 308

Dynatrace

FEBRUARY 1, 2024

Any problem, such as a simple software update overburdening a critical database, can cause a ripple effect that degrades the performance of dependent services or applications. For example, an unnoticed database strain could slow down the response time of a web frontend, resulting in poor user experience.

Infrastructure 180

Infrastructure Metrics Network Monitoring 180

Scalegrid

DECEMBER 14, 2023

How the MongoDB timeout is set up can significantly affect your application’s performance, no matter if you are an experienced MongoDB user or just starting with NoSQL databases. Typical applications are interacting with different database servers based on the business logic. Careful consideration must be given before making changes.

Java 130

Java Network Servers Database 130

The Netflix TechBlog

JANUARY 25, 2023

For example, we have a service that stores a movie entity’s metadata or a service that stores metadata about images. In Pic 1 below, we have an example of an application which is used by editors to review their work. All data should be also available for offline analytics in Hive/Iceberg.

Scalability 283

Scalability Latency Media Architecture 283

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. Let’s dive in and learn how (and what) to effectively monitor MySQL performance, along with examples from PMM, by understanding the critical KPIs to watch for.

Performance 107

Performance Monitoring Traffic Database 107

Dynatrace

SEPTEMBER 30, 2021

What kinds of AWS certifications are available today? AWS Certified Database – Specialty: Database specialists with deep knowledge of relational and non-relational databases and some AWS experience might want to check out this certification. Data analytics. The top AWS certification options. Machine learning.

AWS 208

AWS Best Practices Analytics Cloud 208

Scalegrid

JANUARY 11, 2024

Read also – Enterprise Cloud Security Strategy For 2024 Cloud Security Monitoring Tools and Techniques When it comes to monitoring cloud security, we have a wide range of tools and techniques available. For example, Blumira offers a third-party solution while AWS provides its own with CloudWatch.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

MAY 27, 2022

An example of the self-healing web. For example, a typical use case involves a web server running an analytics and reporting system. It turns out a colleague has been adding new records to the database without archiving old ones. That causes the size of the database to grow and performance to suffer.

Artificial Intelligence 186

Artificial Intelligence Innovation Servers Database 186

Dynatrace

MAY 13, 2021

Dynatrace allows you to unify tracing analytics across teams and hybrid-clouds, provides robust enterprise-scale and secure trace capture and processing, and Davis AI based answers across traces, metrics, logs, behavioral information and more. Use-case example: WorldAtlas sample application. Nano HTTPD ?(instead

Java 156

Java Analytics Metrics Database 156

Dynatrace

FEBRUARY 28, 2024

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics 209

Analytics Metrics Media Monitoring 209

Dynatrace

DECEMBER 21, 2023

And while these examples were resolved by just asking a few questions, in many cases, the answers are more elusive, requiring real-time and historical drill-downs into the processes and dependencies specific to each host. A few examples: Reduce roundtrips between services (for example, the N+1 query pattern). Want to learn more?

Cloud 208

Cloud Energy Best Practices Cache 208

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. It does not follow the SQL Standard as closely as other databases, and some useful functions such as MERGE() are missing.

Database 122

Database Transportation Servers Cloud 122

Dynatrace

MARCH 22, 2023

For example, ensuring software stacks don’t use default accounts or passwords, error handling doesn’t reveal sensitive information, and application server frameworks use secure settings. In addition, analyze data from a unified observability view that provides contextualized application security analytics.

Open Source 197

Open Source Artificial Intelligence Internet Internet 197

Dynatrace

JULY 6, 2020

In addition to providing visibility for core Azure services like virtual machines, load balancers, databases, and application services, we’re happy to announce support for the following 10 new Azure services, with many more to come soon: Virtual Machines (classic ones). Effortlessly optimize Azure database performance.

Azure 147

Azure Cloud Big Data Virtualization 147

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 102

Monitoring Scalability Cache Database 102

The Netflix TechBlog

MARCH 10, 2023

Production Use Cases Real-Time APIs (backed by the Cassandra database) for asset metadata access don’t fit analytics use cases by data science or machine learning teams. Following is the example of tables primary and clustering keys defined: Figure 2. Some of the common supported data reprocessing use cases are listed below.

Media 237

Media Traffic Processing Design 237

ScaleOut Software

MAY 6, 2020

Writing applications for streaming analytics can be complex and time consuming. An Example: Contact Self-Tracing. For example, consider the contact self-tracing application described in a previous blog. This application cannot be implemented by most streaming analytics platforms.

Development 52

Development Analytics Database Programming 52

ScaleOut Software

MAY 6, 2020

Writing applications for streaming analytics can be complex and time consuming. An Example: Contact Self-Tracing. For example, consider the contact self-tracing application described in a previous blog. This application cannot be implemented by most streaming analytics platforms.

Development 52

Development Analytics Database Programming 52

Smashing Magazine

SEPTEMBER 20, 2021

For example, someone might web scrape all the product pages of a competitor’s retail site to harvest information about products being offered and current pricing to try to gain a competitive edge. A better approach is to use the data you are already collecting with your web analytics or R eal U ser M easurement ( RUM ) services.

Website 89

Website Analytics Google Cache 89

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 187

Analytics Artificial Intelligence Big Data Open Source 187

ScaleOut Software

APRIL 6, 2021

With the ScaleOut Digital Twin Streaming Service , an Azure-hosted cloud service, ScaleOut Software introduced breakthrough capabilities for streaming analytics using the real-time digital twin concept. Scaleout StreamServer® DT was created to meet this need.

IoT 52

IoT Azure Analytics Healthcare 52

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What is an MPP Database?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. This unified approach enables Grail to vault past the limitations of traditional databases.

Analytics 185

Analytics Innovation Metrics Database 185

ScaleOut Software

NOVEMBER 24, 2020

Every few seconds, the application servers collect batches of snapshots and write them to the database where they can be queried by dispatchers managing the fleet. Using a database, dispatchers can query raw telemetry to determine the information they need to manage the fleet in real time. Solution: Real-Time Digital Twins.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Percona

JUNE 4, 2023

Before we dive into the differences between MariaDB and MySQL, we will provide a thorough examination of each relational database management system (RDBMS). While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation.

Open Source 52

Open Source Servers Storage Scalability 52

Testlodge

NOVEMBER 1, 2021

For example, it’s usual for software to have been designed with a specific use in mind, but the user doesn’t always understand the same way as the developers and testers. This is just one small example, but it is easy to imagine a user doing any of these actions. For example, take a website that sells coffee.

Systems 81

Systems Testing Software Software 81

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Show me a list of currently available or soon to be available ventilators in my county right now.”.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

For example, the parameters for a ventilator could include its identifier, make and model, current location, status (in use, in storage, broken), time in use, technical issues and repairs, and contact information. Show me a list of currently available or soon to be available ventilators in my county right now.”.

Logistics 52

Logistics Analytics Scalability Cloud 52

SQL Performance

AUGUST 11, 2021

Bucketizing date and time data involves organizing data in groups representing fixed intervals of time for analytical purposes. For example, the measurements could be temperature and humidity readings taken every 5 minutes, and you want to group the data using hourly buckets and compute aggregates like average per hour. DATE_BUCKET.

Azure 139

Azure Code Database Servers 139

ScaleOut Software

JUNE 22, 2020

It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand. For example, one of ScaleOut Software’s customers recently upgraded from just using distributed caching to scale its ecommerce application.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

ScaleOut Software

JUNE 22, 2020

It can also take advantage of the elastic computing resources available in cloud infrastructures to quickly and cost-effectively scale throughput to meet changes in demand. For example, one of ScaleOut Software’s customers recently upgraded from just using distributed caching to scale its ecommerce application.

Ecommerce 52

Ecommerce Cache Scalability IoT 52

Dynatrace

NOVEMBER 18, 2021

Starting with user interactions, PurePath technology automatically collects all code execution details, executed database statements, critical transaction-based metrics, and topology information end-to-end. This provides a holistic view, advanced analytics, and AI-powered answers for cloud optimization and troubleshooting.

Analytics 223

Analytics Cloud Java Serverless 223

The Netflix TechBlog

JULY 30, 2019

The Netflix Media Database (NMDB) is one such example. For example, if a decision task evaluates to false, and we do not want to execute remaining tasks in the workflow, instead of having a DECISION task with a list of tasks in one case and an empty list in the other, this can scope the decide and terminate workflow execution.

Lambda 189

Lambda Media Open Source Metrics 189

HammerDB

DECEMBER 5, 2020

For example HammerDB has not used tpmC terminology to report TPC-C based metrics instead using TPM and NOPM nomenclature. A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. This was both expensive and time consuming to configure.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Testsigma

NOVEMBER 11, 2020

Network disconnection is a common automation challenge that a QA team faces wherein they find it hard to access databases, VPN, third party services, APIs, specific testing environments, etc. An example of one such tool is Testsigma. Network Disconnections. due to unstable network connections. Upfront Investment.

Testing 85

Testing Mobile Network Analytics 85

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130

Storage Systems Big Data Azure 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. In the screenshot below you can see an example of such a request attribute.

Analytics 138

Analytics Mobile Airlines Monitoring 138