DZone

AUGUST 4, 2022

Spark-Radiant is Apache Spark Performance and Cost Optimizer. Spark-Radiant will help optimize performance and cost considering catalyst optimizer rules, enhance auto-scaling in Spark, collect important metrics related to a Spark job, Bloom filter index in Spark, etc. Spark-Radiant is now available and ready to use.

Performance 246

Performance Metrics Availability Big Data 246

DZone

AUGUST 23, 2023

In the era of big data, efficient data management and query performance are critical for organizations that want to get the best operational performance from their data investments.

Big Data 130

Big Data Analytics Innovation Efficiency 130

DZone

JUNE 13, 2023

In short, it is the ability to handle more data, more users, and more demand without sacrificing performance, reliability, or security. The reason is straightforward, today, applications generate enormous amounts of data. It is not uncommon to question why scalability has grabbed the attention of the masses these days.

Scalability 244

Scalability IoT Big Data Internet 244

Dynatrace

SEPTEMBER 15, 2020

In my recent Performance Clinic with Stefano Doni , CTO & Co-Founder of Akamas , I made the statement, “Application development and release cycles today are measured in days, instead of months. Increase in environment complexity and increased frequency in delivery requires a novel approach to performance optimization.

Performance 189

Performance Java Metrics Cloud 189

DZone

JULY 29, 2019

In today's world, data is generated in high volumes and to make something out of it, extracted data is needed to be transformed, stored, maintained, governed and analyzed. These processes are only possible with a distributed architecture and parallel processing mechanisms that Big Data tools are based on.

Big Data 157

Big Data Government Open Source Storage 157

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Finally, we show that Seer can identify application level design bugs, and provide insights on how to better architect microservices to achieve predictable performance. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

Dynatrace

JUNE 26, 2023

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI.

Software 192

Software Software Analytics Big Data 192

DZone

MAY 21, 2019

The demand for more IT resource-intensive applications has significantly increased today, whether it is to process quicker transactions, gain real-time insight, crunch big data sets, or to meet customer expectations. That’s because NVMe provides 6x higher bandwidth and IOPS advantage compared to SAS/SATA SSD.

Performance 100

Performance Big Data Storage Processing 100

The Netflix TechBlog

OCTOBER 28, 2021

Netflix’s unique work culture and petabyte-scale data problems are what drew me to Netflix. During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics. Moreover, its petabyte scale also brings unique engineering challenges.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

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. Driving down the cost of Big-Data analytics. Comments ().

Big Data 112

Big Data Analytics AWS Scalability 112

The Netflix TechBlog

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. Auto Remediation generates recommendations by considering both performance (i.e., Multi-objective optimizations.

Tuning 210

Tuning Efficiency Big Data Engineering 210

The Netflix TechBlog

JANUARY 13, 2022

This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure. The streaming platform recently added Data Mesh , and we need to expand Streaming Pensive to cover that.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

DZone

MAY 30, 2019

With big data on the rise and data algorithms advancing, the ways in which technology has been applied to real-world challenges have grown more automated and autonomous. Financial analysis with real-time analytics is used for predicting investments and drives the FinTech industry's needs for high-performance computing.

Artificial Intelligence 100

Artificial Intelligence Social Media FinTech Storage 100

High Scalability

SEPTEMBER 14, 2020

This is a guest post by Limor Maayan-Wainstein , a senior technical writer with 10 years of experience writing about cybersecurity, big data, cloud computing, web development, and more. High performance computing (HPC) enables you to solve complex problems which cannot be solved by regular computing.

Cloud 261

Cloud Big Data Virtualization Efficiency 261

DZone

JULY 22, 2022

Honestly, these two terms have recently been doing rounds in the big data world. These technologies specialize in transmitting large amounts of data across different trading partners and companies. These technologies specialize in transmitting large amounts of data across different trading partners and companies.

Big Data 188

Big Data Technology Technology Systems 188

DZone

JANUARY 20, 2023

It has been a norm to perceive that distributed databases use the method of adding cheap PC(s) to achieve scalability (storage and computing) and attempt to store data once and for all on demand. However, doing the same cannot achieve equivalent scalability without massively sacrificing query performance on graph systems.

Scalability 201

Scalability Big Data Hardware Internet 201

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

Scalegrid

MAY 13, 2020

This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Rigor

JANUARY 13, 2020

Reading time 1 min Why share the library of the web performance books while there’s a substantial collection of fantastic websites and articles on the net? High Performance Browser Networking. This book is about performance problems and the various technologies created to fight them. High Performance Websites.

Performance 75

Performance Social Media Website Website Performance 75

DZone

DECEMBER 28, 2020

Nowadays, Big Data tests mainly include data testing, paving the way for the Internet of Things to become the center point. Factors such as reliability and quality are being given extra attention that results in the decrease of software app errors, enhancing the security and the app performance.

Software 186

Software Software Testing Big Data 186

Dynatrace

JULY 6, 2020

Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. Effortlessly optimize Azure database performance. Database-service views provide all the metrics you need to set up high-performance database services. Azure Front Door.

Azure 149

Azure Cloud Big Data Virtualization 149

Dynatrace

JULY 6, 2022

This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation. Big data automation tools. These tools provide the means to collect, transfer, and process large volumes of data that are increasingly common in analytics applications.

Artificial Intelligence 193

Artificial Intelligence Tuning Strategy Big Data 193

Dynatrace

DECEMBER 15, 2022

The primary goal of ITOps is to provide a high-performing, consistent IT environment. Organizations measure these factors in general terms by assessing the usability, functionality, reliability, and performance of products and services. Performance. What does IT operations do? ITOps vs. AIOps.

Artificial Intelligence 207

Artificial Intelligence DevOps Hardware Virtualization 207

DZone

MARCH 16, 2020

This article compares different options for the in-memory maps and their performances in order for an application to move away from traditional RDBMS tables for frequently accessed data.

Cache 147

Cache Java Performance Database 147

The Netflix TechBlog

MAY 4, 2023

The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. These include Quality-of-Experience(QoE) measurements at the customer device level, Service-Level-Agreements (SLAs), and business-level Key-Performance-Indicators(KPIs).

Traffic 339

Traffic Latency Tuning Systems 339

Scalegrid

NOVEMBER 25, 2019

In fact, according to ScyllaDB’s performance benchmark report, their 99.9 So this type of performance has to come at a cost, right? cost reduction compared to running Cassandra, as they can achieve this performance with only 10% of the nodes. percentile latency is up to 11X better than Cassandra on AWS EC2 bare metal.

Big Data 187

Big Data Database Open Source Azure 187

DZone

JUNE 3, 2019

In contrast, there are generally available NVMe solutions that can scale from 100TB to 1PB of shared NVMe storage at the performance of local NVMe SSDs, providing the opportunity to significantly increase the depth of the training for neural networks.

Storage 100

Storage Performance Network Scalability 100

DZone

DECEMBER 21, 2020

Setting up a data warehouse is the first step towards fully utilizing big data analysis. Still, it is one of many that need to be taken before you can generate value from the data you gather. An important step in that chain of the process is data modeling and transformation.

Big Data 189

Big Data Google Scalability Processing 189

DZone

JUNE 4, 2019

NVMe storage's strong performance, combined with the capacity and data availability benefits of shared NVMe storage over local SSD, makes it a strong solution for AI/ML infrastructures of any size. NVMe Storage Use Cases. There are several AI/ML focused use cases to highlight.

Storage 100

Storage FinTech Artificial Intelligence Performance 100

ScaleOut Software

JULY 19, 2021

And it can maintain contextual information about every data source (like the medical history of a device wearer or the maintenance history of a refrigeration system) and keep it immediately at hand to enhance the analysis. These limitations create an opportunity for real-time device tracking to fill the gap.

IoT 78

IoT Analytics Big Data Architecture 78

Rigor

SEPTEMBER 11, 2019

Reading time 16 min Whether you’re a web performance expert, an evangelist for the culture of performance, a web engineer incorporating performance into your process, or someone new to the web performance entirely, you probably identify as curious, excited about new ideas, and always learning. Rick Byers.

Performance 89

Performance Education Google Website 89

Dynatrace

MARCH 24, 2023

Using Marathon, its data center operating system (DC/OS) plugin, Mesos becomes a full container orchestration environment that, like Kubernetes and Docker Swarm, discovers services, balances loads, and manages application containers. Mesos also supports other orchestration engines, including Kubernetes and Docker Swarm.

Infrastructure 190

Infrastructure Open Source Operating System Cloud 190

Dynatrace

MARCH 14, 2022

AIOps (or “AI for IT operations”) uses artificial intelligence so that big data can help IT teams work faster and more effectively. These correlations help with troubleshooting issues or for optimizing performance, but in many cases, they don’t pinpoint the precise cause of the issue. Since then, the term has gained popularity.

Healthcare 231

Healthcare Artificial Intelligence Innovation Strategy 231

Dynatrace

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch.

Open Source 346

Open Source Java Operating System Programming 346

Dynatrace

APRIL 11, 2023

Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. As data from different corners of the enterprise proliferates, teams need a better way to bring data together to identify performance and security issues, minimize security risk, and drive greater business value.

Cloud 191

Cloud DevOps Open Source Retail 191

The Netflix TechBlog

JUNE 7, 2021

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. The sidecar has been implemented by leveraging the highly performant eBPF along with carefully chosen transport protocols to consume less than 1% of CPU and memory on any instance in our fleet.

Network 325

Network Transportation AWS Cloud 325

Percona

JANUARY 19, 2023

While the technologies have evolved and matured enough, there are still some people thinking that MySQL is only for small projects or that it can’t perform well with large tables. With disks being faster nowadays and CPU and memory resources being cheaper, we could easily say MySQL can handle TBs of data with good performance.

Open Source 87

Open Source Storage Database Big Data 87