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. DevOps and DevSecOps. ITOps vs. AIOps.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

The Morning Paper

SEPTEMBER 8, 2019

Experiences with approximating queries in Microsoft’s production big-data clusters Kandula et al., I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. All three sampling strategies are heavily used at Microsoft.

Big Data 57

Big Data Analytics Latency Azure 57

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. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. Aggregation.

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

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

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis and Memcached both provide high performance with sub-millisecond response times. Managed DBaaS solutions like ScaleGrid.io

Cache 130

Cache Storage Scalability Architecture 130

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 186

Cloud DevOps Open Source Retail 186

Dynatrace

JULY 6, 2020

As adoption rates for Microsoft Azure continue to skyrocket, Dynatrace is developing a deeper integration with the platform to provide even more value to organizations that run their businesses on Azure or use it as a part of their multi-cloud strategy. Effortlessly optimize Azure database performance. Azure Virtual Network Gateways.

Azure 147

Azure Cloud Big Data Virtualization 147

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

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. Analyze the data. CloudOps: Applying AIOps to multicloud operations. Execute an action plan.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Testsigma

SEPTEMBER 8, 2021

If I consider current times, it has become a core concept in development, management, analytics, and also – automation testing. Dynamic locator strategy : Cloud automation testing in Testsigma comes with a dynamic locator strategy that helps in creating stable and reliable test cases. Signup now. AppPerfect. Key Features.

Cloud 76

Cloud Testing AWS Testing Tools 76

All Things Distributed

JUNE 29, 2011

In Amazon Web Services there are similar dimensions that are forever important to our customers; scale, reliability, security, performance, ease of use, and of course pricing. Often customers are surprised about our strategy to help them drive their costs down. Driving down the cost of Big-Data analytics.

AWS 104

AWS Retail Innovation Strategy 104

All Things Distributed

DECEMBER 20, 2017

Marketers use big data and artificial intelligence to find out more about the future needs of their customers. Also, trade with data contributes more to global growth than trade with goods. Therefore, IT has never been more important for strategy than it is now – not only for us, but for every company in the digital age.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Highly Scalable

MARCH 10, 2015

Although there are many books on data mining in general and its applications to marketing and customer relationship management in particular [BE11, AS14, PR13 etc.], The rest of the article is organized as follows: We first introduce a simple framework that ties together a retailer’s actions, profits and data. Applications.

Retail 152

Retail C++ Analytics Metrics 152

The Netflix TechBlog

JULY 26, 2021

Such a paradigm aspires to assist front-line operations personnel and stakeholders in “running the business”²; performing their tasks through means such as ad hoc analysis, decision-support, and tracking (of tasks, assets, schedules, etc). Data Mesh leverages Iceberg tables as data warehouse sinks for downstream analytics use cases.

Big Data 253

Big Data Government Analytics Processing 253

Smashing Magazine

JULY 29, 2019

Throughout the experiment I will suggest performance tips to speed up the first contentful paint and perceived loading time of the page. Performance Tip #1: Inline Critical CSS. Performance Tip #2: Minify And Uglify Your Assets. Performance Tip #3: Less Is More. Performance Tip #4: Compress Text-based Assets.

Cache 96

Cache Google Mobile Network 96

All Things Distributed

OCTOBER 7, 2015

Today, I am excited to share with you a brand new service called Amazon QuickSight that aims to simplify the process of deriving insights from a wide variety of data sources in a fast and affordable manner. Big data challenges. Put simply, data is not always readily available and accessible to organizational end users.

Cloud 137

Cloud Big Data AWS Analytics 137

The Netflix TechBlog

NOVEMBER 20, 2023

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. Backfill: Backfilling datasets is a common operation in big data processing.

Processing 210

Processing Big Data Efficiency Engineering 210