Percona

JANUARY 19, 2023

16 years ago, our founder Peter Zaitsev covered this topic and some of the points described there are still valid, and we will cover more on this blog. 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. It supports native sharding.

Open Source 93

Open Source Storage Database Big Data 93

DZone

AUGUST 4, 2022

In this blog, I will discuss the availability of Spark-Radiant 1.0.4, 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

All Things Distributed

SEPTEMBER 5, 2013

Over the past few years, two important trends that have been disrupting the database industry are mobile applications and big data. The explosive growth in mobile devices and mobile apps is generating a huge amount of data, which has fueled the demand for big data services and for high scale databases.

Big Data 92

Big Data Mobile Latency Database 92

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. However, building and utilizing HCM presents challenges, including interconnecting various memory technologies (e.g.,

Latency 52

Latency Hardware Cache Architecture 52

Testsigma

MAY 26, 2021

Scenario 4: Image-based data-driven testing. Photo management applications, e-commerce websites, search engines, healthcare, disaster monitoring, robotics, etc. The test data is then run on the algorithm to decide the accuracy, predictability, and precision of the spam detection algorithm. Conclusion.

Testing 70

Testing Healthcare Performance Testing Website 70

Testsigma

MAY 14, 2021

Examples are DevOps, AWS, Big Data, Testing as Service, testing environments. The post Cloud-Based Testing – A tester’s perspective appeared first on Testsigma Blog. Together with the evaluation of the testing activities, we need to estimate the cost involved as well. Testsigma as a cloud-based test automation tool.

Cloud 67

Cloud Testing Testing Tools Internet 67

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring. Application monitoring. Dynatrace news.

Monitoring 134

Monitoring Performance Social Media Artificial Intelligence 134

Rigor

JANUARY 13, 2020

When it comes to web content, you can easily find what you need through many different paths, from search engines and social media to playlists and blogs, jumping from one source to another with just a tap of a finger. Complete Web Monitoring.

Performance 75

Performance Social Media Website Website Performance 75

All Things Distributed

JANUARY 19, 2011

To battle this complexity, developers who do not need control over the whole software stack often use development platforms that help them manage their application development, deployment and monitoring. More information on the launch can be found on the AWS developer blog. blog comments powered by Disqus. Contact Info.

AWS 112

AWS Cloud Java Operating System 112

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Once products and services are live, IT teams must continuously monitor and manage them. What is AIOps, and how does it work?

Artificial Intelligence 308

Artificial Intelligence Cloud Innovation Strategy 308

Dynatrace

AUGUST 10, 2021

And, they got the chance to do just that at our recent event, DynatraceGo, which I’ll tell you a bit more about in this blog. Intelligent Observability includes the ability to not only monitor applications but gain actionable insights that can be used to transform services and create great customer experiences. DynatraceGo!

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

APRIL 21, 2021

The Business Insights team at Dynatrace has been working with our largest Digital Experience Monitoring customers to help them turn the Core Web Vitals data they’re collecting with Dynatrace into actionable insights they can use to optimize pages ahead of this June 2021 change in Google’s search ranking algorithm.

Traffic 264

Traffic Metrics Mobile Analytics 264

The Netflix TechBlog

NOVEMBER 20, 2023

In this blog post, we talk about the landscape and the challenges in workflows at Netflix. For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing.

Processing 219

Processing Big Data Efficiency Engineering 219

Dynatrace

OCTOBER 4, 2022

Even in cases where all data is available, new challenges can arise. When one tool monitors logs, but traces, metrics, security, audit, observability, and business data sources are siloed elsewhere or monitored using other tools, teams can struggle to align or deliver a single version of the truth.

Analytics 254

Analytics Artificial Intelligence Storage Serverless 254

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Artificial Intelligence 189

Artificial Intelligence Social Media Monitoring IoT 189

The Netflix TechBlog

JULY 26, 2021

However, it is paramount that we validate the complete set of identifiers such as a list of movie ids across producers and consumers for higher overall confidence in the data transport layer of choice. Trackers are now easy for the team to create, review, change, monitor and discover. The audits check for equality (i.e.

Big Data 257

Big Data Government Analytics Processing 257

Dynatrace

SEPTEMBER 9, 2019

Synthetic data, network data, system data, and the list goes on. In recent years, the amount of data we analyze has exploded as we look at the data collected by Real User Monitoring (RUM), meaning every session, every action, in every region and so on. As much as I love data, data is cold, it lacks emotion.

Big Data 158

Big Data Metrics Virtualization Monitoring 158

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” The second challenge with traditional AIOps centers around the data processing cycle. But what is AIOps, exactly? What is AIOps?

Artificial Intelligence 233

Artificial Intelligence DevOps Innovation Metrics 233

Dynatrace

JUNE 29, 2022

A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment. Hybrid environments provide more options for storing and analyzing ever-growing volumes of big data and for deploying digital services.

Infrastructure 206

Infrastructure Cloud Azure AWS 206

Dynatrace

MARCH 11, 2021

It’s been a while since my last blog article on managing Dynatrace Managed at scale. In the fourth part of the series, I’ll show you how I used Dynatrace’s raw problem and event data to find the best fit for optimized anomaly detection settings. I took a big-data-analysis approach, which started with another problem visualization.

Tuning 264

Tuning Architecture Monitoring Big Data 264

The Netflix TechBlog

OCTOBER 18, 2022

As Big data and ML became more prevalent and impactful, the scalability, reliability, and usability of the orchestrating ecosystem have increasingly become more important for our data scientists and the company. The scheduler on-call has to closely monitor the system during non-business hours.

Java 212

Java Scalability Traffic Architecture 212

All Things Distributed

FEBRUARY 25, 2011

They also setup Auto Scaling, EC2 and RDS Security Groups, configure CloudWatch monitoring and alarms, and use SNS for notifications. For more information on AWS CloudFormation see their detail page and read more on the AWS developer blog. blog comments powered by Disqus. Driving down the cost of Big-Data analytics.

AWS 116

AWS Cloud Scalability Storage 116

Testsigma

FEBRUARY 12, 2021

Machine Learning (ML) and Artificial Intelligence (AI) programme testing and QA teams will develop their automatic research techniques, keeping track with recurring updates — with the assistance of analytics and monitoring. Stay on top of the current trends and updates on testing, automation and more by subscribing to our blog!

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Percona

JANUARY 14, 2019

Vadim published a blog post about analyzing reddit comments with ClickHouse. In my case, I’m using this data as a simulation of text messages, and will show how we can use ClickHouse as a backend for an API. In my previous blog post about ClickHouse I used it to find the most popular wikipedia page of the month.

Database 40

Database Analytics Blockchain Healthcare 40