DZone

FEBRUARY 3, 2024

In the changing world of data centers and cloud computing, the desire for efficient, flexible, and scalable networking solutions has resulted in the broad use of Software-Defined Networking (SDN). Traditional networking models have a tightly integrated control plane and data plane within network devices.

Network 182

Network Systems Cloud Software 182

Scalegrid

JANUARY 5, 2024

Enhanced data security, better data integrity, and efficient access to information. This article cuts through the complexity to showcase the tangible benefits of DBMS, equipping you with the knowledge to make informed decisions about your data management strategies. What are the key advantages of DBMS?

Efficiency 147

Efficiency Storage Database Scalability 147

Dynatrace

NOVEMBER 3, 2023

that offers security, scalability, and simplicity of use. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. supports SNMP, WMI, Prometheus, and SQL data sources, and now also JMX; no code is required to leverage these extensions.

Technology 250

Technology Technology Scalability Availability 250

Percona

JUNE 4, 2024

MongoDB’s flexibility and speed make it a popular database choice, but as your data grows, managing and querying massive datasets can become challenging. This is where partitioning, also known as sharding, comes to the rescue.Partitioning strategically divides your data collection into smaller, more manageable chunks.

Best Practices 76

Best Practices Scalability Performance Speed 76

DZone

FEBRUARY 12, 2024

Optimizing complex MySQL queries is crucial when dealing with large datasets, such as fetching data from a database containing one million records or more. Poorly optimized queries can lead to slow response times and increased load on the database server, negatively impacting user experience and system performance.

Performance 173

Performance Database Strategy Efficiency 173

DZone

NOVEMBER 27, 2023

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability. But how do we do that?

Tuning 162

Tuning Speed Performance Open Source 162

Dynatrace

JUNE 9, 2023

ln a world driven by macroeconomic uncertainty, businesses increasingly turn to data-driven decision-making to stay agile. They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. All of these factors challenge DevOps maturity.

DevOps 188

DevOps Analytics Storage Metrics 188

DZone

MARCH 7, 2023

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. In addition, pySpark applications can be tuned to optimize performance and achieve better execution time, scalability, and resource utilization.

Big Data 173

Big Data Code Tuning Open Source 173

The Netflix TechBlog

MARCH 10, 2023

This platform has evolved from supporting studio applications to data science applications, machine-learning applications to discover the assets metadata, and build various data facts. Hence we built the data pipeline that can be used to extract the existing assets metadata and process it specifically to each new use case.

Media 237

Media Traffic Processing Design 237

DZone

JANUARY 17, 2022

There are tools that simply help you monitor the overall performance of an app while it's in use on a device. The data can be used by developers to improve the application based on what is relevant and important to their end-users.

Mobile 264

Mobile Performance Monitoring Scalability 264

The Netflix TechBlog

MARCH 5, 2019

As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. In the Reliability space, our data teams focus on two main approaches. Canaries ), detection and improved KPIs.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. Digital transformation shows no signs of slowing down.

Efficiency 280

Efficiency Performance Analytics DevOps 280

Dynatrace

OCTOBER 23, 2023

Hyper-V plays a vital role in ensuring the reliable operations of data centers that are based on Microsoft platforms. Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. What is Microsoft Hyper-V?

Efficiency 218

Efficiency Virtualization Hardware Performance 218

Smashing Magazine

SEPTEMBER 28, 2022

Five Data-Loading Patterns To Improve Frontend Performance. Five Data-Loading Patterns To Improve Frontend Performance. When it comes to performance, you shouldn’t be stingy. It is important to note how much data the client needs to download. But isn’t waiting for the data the point? Large preview ).

Cache 127

Cache Performance Servers Social Media 127

DZone

JANUARY 24, 2024

Cloud computing platforms have fundamentally altered how organizations access and manage data. These storage alternatives have been designed to meet a range of requirements, including performance, scalability, durability, and price. Cloud computing platforms have transformed the way businesses handle and access data.

Storage 278

Storage Cloud Scalability Design 278

Dynatrace

MARCH 29, 2024

As organizations continue to expand within cloud-native environments using Google Cloud, ensuring scalability becomes a top priority. Visit Dynatrace booth #1141 during the event to explore how its real-time insights and optimization capabilities ensure seamless scalability and performance.

Google 266

Google Innovation Cloud Analytics 266

Percona

OCTOBER 17, 2023

This blog post discusses using the CLONE INSTANCE command with the safety option DATA DIRECTORY when you do not have enough disk space to store two datasets. However, when you clone a replica that already has a huge dataset, you may not have enough space for two datasets: one from the source server and data present on the replica.

Open Source 100

Open Source Servers Database Strategy 100

InfoQ

JUNE 16, 2023

Datadog created a dedicated data ingestion architecture offering exactly-once semantics for their third-generation event store, Husky. The event-driven architecture (EDA) can accommodate bursts in traffic in the multi-tenant platform with reasonable ingestion latency and acceptable operational costs. By Rafal Gancarz

Architecture 55

Architecture Scalability Latency Traffic 55

InfoQ

MARCH 15, 2024

Hashnode created a scalable event-driven architecture (EDA) for composing feed data for thousands of users. The company used serverless services on AWS, including Lambda, Step Functions, EventBridge, and Redis Cache. The solution leverages Step Functions' distributed maps feature that enables high-concurrency processing.

Scalability 72

Scalability AWS Architecture Lambda 72

DZone

FEBRUARY 29, 2024

A smooth flow of messages in an event-driven application is the key to its performance and efficiency. The volume of data generated and transmitted these days is growing at a rapid pace. Traditional methods often fall short in managing this kind of volume and scale, leading to bottlenecks impacting the performance of the system.

Efficiency 264

Efficiency AWS Scalability Architecture 264

DZone

MARCH 31, 2020

The true power of cloud computing lies in the way it can be optimized for maximum performance and efficiency. While it wasn’t always possible to run an efficient environment while maximizing performance with on-premise servers and data centers, cloud clusters are particularly flexible in this respect.

AWS 179

AWS Performance Efficiency Scalability 179

Alex Podelko

DECEMBER 19, 2019

ITIL Version 4 Capacity and Performance Management in an Agile Container World by Chris Molloy, IBM. – System performance management is an important topic – and James is going to share a practical method for it. . – System performance management is an important topic – and James is going to share a practical method for it.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

The Netflix TechBlog

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit can serve as a proxy before you send data to Dynatrace or similar. However, you can also use Fluent Bit as a processor because you can perform various actions on the data.

Best Practices 247

Best Practices IoT Metrics Storage 247

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Exploring artificial intelligence in cloud computing reveals a game-changing synergy.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

DZone

JULY 1, 2019

Memcached is an easy-to-use, high-performance, in-memory data store. It offers a mature, scalable, open-source solution for delivering sub-millisecond response times, unlike databases that store data on disk or SSDs, Memcached keeps its data in memory. Installing Memcached Using Docker.

Java 203

Java Performance Open Source Scalability 203

Professor Beekums

AUGUST 19, 2017

One thing that tripped me up early on in my career was the difference between performance and scalability. Scalability is being able to handle large amounts of users/data/traffic. Performance is about speed. At first I thought they were exactly the same. Let’s get definitions out of the way.

Scalability 63

Scalability Performance Traffic Speed 63

DZone

MARCH 14, 2023

Site Reliability Engineering (SRE) is a systematic and data-driven approach to improving the reliability, scalability, and efficiency of systems. It combines principles of software engineering, operations, and quality assurance to ensure that systems meet performance goals and business objectives.

Engineering 246

Engineering Software Engineering Scalability Efficiency 246

Dynatrace

APRIL 5, 2024

With the Dynatrace platform, which report author Ron Williams describes as “an all-in-one observability, security, analytics, and automation platform for cloud-native, hybrid, and multicloud environments,” all your data is stored in one massively scalable data lakehouse.

Cloud 240

Cloud Analytics Monitoring Scalability 240

Dynatrace

MARCH 6, 2024

It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. Gaining knowledge about IBM i performance can be a challenging and pricey task. Additionally, certain tools require auxiliary services to gather performance data before it can be examined and queried.

Monitoring 239

Monitoring Infrastructure Metrics Analytics 239

DZone

JUNE 28, 2023

Sharding is often applied to databases for several reasons, including improving query performance , facilitating data organization , and enhancing scalability. The above diagram presents a visual representation of a sharded database.

Database 232

Database Scalability Servers Performance 232

High Scalability

SEPTEMBER 21, 2018

Aria Bracci : Using a previously established, peer-reviewed technique, the team conducted more than half a million data traffic tests across 161 countries. ” @mjpt777 : "Patterson indicated that rewriting Python into C gets you a 50 times speedup in performance". They'll love you even more. They'll love you even more.

Internet 126

Internet Internet Scalability Traffic 126

InfoQ

APRIL 15, 2024

He specifically delved into Venice DB, the NoSQL data store used for feature persistence. At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. By Rafal Gancarz

Artificial Intelligence 108

Artificial Intelligence Big Data Data Engineering Latency 108

Dynatrace

JANUARY 22, 2024

While traditional AI relies on finding correlations in data, causal AI aims to determine the precise underlying mechanisms that drive events and outcomes. For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers. Government.

Artificial Intelligence 212

Artificial Intelligence Healthcare Retail Government 212

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data.

Best Practices 237

Best Practices Strategy Cloud AWS 237

Dynatrace

MARCH 3, 2020

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Performance-as-a-self-service . Try it today using Keptn .

Performance 245

Performance Education Innovation Software Architecture 245

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? Experiencing database performance issues?

Tuning 52

Tuning Database Performance Hardware 52