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. AIOps aims to provide actionable insight for IT teams that helps inform DevOps, CloudOps, SecOps, and other operational efforts. Aggregation.

Artificial Intelligence 325

Artificial Intelligence Cloud Innovation Strategy 325

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. See the health of your big data resources at a glance. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics.

Azure 227

Azure Cloud Big Data Virtualization 227

Rigor

MAY 22, 2019

Big data is like the pollution of the information age. The Big Data Struggle and Performance Reporting. As the big data era brings in multiple options for visualization, it has become apparent that not all solutions are created equal. Conclusion.

Big Data 76

Big Data Monitoring Performance Metrics 76

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.” Modern AIOps enables more comprehensive automation across the enterprise, including in CloudOps, DevOps, and SecOps.

Artificial Intelligence 246

Artificial Intelligence DevOps Innovation Metrics 246

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 246

Infrastructure Cloud Azure AWS 246

Dynatrace

SEPTEMBER 15, 2020

Supported technologies include cloud services, big data, databases, OS, containers, and application runtimes like the JVM. Akamas is a flexible optimization platform and optimizes many market-leading technologies thanks to its Optimization Pack library.

Performance 260

Performance Java Metrics Cloud 260

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 246

Analytics Innovation Metrics Database 246

Alex Podelko

DECEMBER 19, 2019

How is DevOps changing the Modern Software Development Landscape? , Boris has unique expertise in that area – especially in Big Data applications. Performance Engineering as a Service: Enabling Performance Testing at Scale in a DevOps World Using Infrastructure Automation by Jaishankar Padmanabhan, Wayfair.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

All Things Distributed

DECEMBER 8, 2016

It adopted Amazon Redshift, Amazon EMR and AWS Lambda to power its data warehouse, big data, and data science applications, supporting the development of product features at a fraction of the cost of competing solutions. Kik Interactive is a Canadian chat platform with hundreds of millions of users around the globe.

AWS 130

AWS Cloud Lambda Innovation 130

Dynatrace

MARCH 11, 2021

I took a big-data-analysis approach, which started with another problem visualization. Usually, in single environment setups, you would do that by adjusting parameters step by step and adopt as you learn more until you find the combination that works best for you. But that didn’t work for me. Visualizing problem noise.

Tuning 264

Tuning Architecture Monitoring Big Data 264

High Scalability

MARCH 24, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

APRIL 14, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Scalability Engineering 105

High Scalability

MAY 12, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

APRIL 28, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

MARCH 30, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

MAY 26, 2020

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). You will be designing and implementing distributed systems : large-scale web crawling platform, integrating Deep Learning based web data extraction components, working on queue algorithms, large datasets, creating a development platform for other company departments, etc.

Education 100

Education AWS Software Engineering Scalability 100

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Testsigma

MAY 14, 2021

Examples are DevOps, AWS, Big Data, Testing as Service, testing environments. Testsigma is an AI-driven, cloud-based testing tool that is built for DevOps and Agile teams. Together with the evaluation of the testing activities, we need to estimate the cost involved as well.

Cloud 67

Cloud Testing Testing Tools Internet 67

All Things Distributed

DECEMBER 20, 2017

Marketers use big data and artificial intelligence to find out more about the future needs of their customers. Real-time analyses are possible through big data and software updates are generated daily through the cloud. Customers provide feedback online immediately after their purchase. Ensuring the flow.

Artificial Intelligence 70

Artificial Intelligence Social Media Logistics AWS 70

Testsigma

JULY 14, 2020

Due to the faster speed of automation and quick execution of a broader data set, the management and defect-related decisions could be concluded faster. In the Agile and DevOps environment, shorter development cycles need quick decisions and quick resolution of issues. Independent of application development.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

Brendan Gregg

APRIL 30, 2018

Today's LISA attracts attendees working on all sizes of production systems, and its attendees include sysadmins, systems engineers, SREs, DevOps engineers, software engineers, IT managers, security engineers, network administrators, researchers, students, and more.

DevOps 41

DevOps Network Best Practices Programming 41

Brendan Gregg

APRIL 29, 2018

Today's LISA attracts attendees working on all sizes of production systems, and its attendees include sysadmins, systems engineers, SREs, DevOps engineers, software engineers, IT managers, security engineers, network administrators, researchers, students, and more.

DevOps 40

DevOps Network Best Practices Programming 40

VoltDB

MARCH 13, 2024

In the age of big-data-turned-massive-data, maintaining high availability , aka ultra-reliability, aka ‘uptime’, has become “paramount”, to use a ChatGPT word. Reconcile modern DevOps practices with the need for stability We used to rarely upgrade software.

Availability 52

Availability Latency DevOps Systems 52

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 109

Artificial Intelligence Big Data Data Engineering Latency 109

Testsigma

MAY 7, 2020

IBM Big Data and Analytics Hub website cited a case study, where a US insurance company was estimating 15% of their testing efforts to be just test data collection for the backend system and the frontend system. Average data quality will provide mediocre results after testing, and no one ever wants that.

Testing 60

Testing Storage Database Processing 60

Testsigma

FEBRUARY 12, 2021

Although this QA automation approach is one of the newest developments in DevOps for 2021, early and end-to-end research would most likely thrive. The DevOps workflow is strongly connected to continuous monitoring activities aimed to maximise the consistency of the product and eliminate corporate risk. The most recent 2021 trend.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Dynatrace

APRIL 25, 2023

Exploratory analytics with collaborative analytics capabilities can be a lifeline for CloudOps, ITOps, site reliability engineering, and other teams struggling to access, analyze, and conquer the never-ending deluge of big data. These analytics can help teams understand the stories hidden within the data and share valuable insights.

Analytics 246

Analytics Big Data Media Operating System 246