Dynatrace

DECEMBER 15, 2022

ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. What is ITOps? ITOps vs. AIOps.

Artificial Intelligence 204

Artificial Intelligence DevOps Hardware Virtualization 204

Dynatrace

APRIL 11, 2023

Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations migrate applications to the cloud, they must balance the agility that microservices architecture brings with the complexity and lack of transparency that can also come with it.

Cloud 188

Cloud DevOps Open Source Retail 188

ScaleOut Software

JULY 19, 2021

We are increasingly surrounded by intelligent IoT devices, which have become an essential part of our lives and an integral component of business and industrial infrastructures. Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives.

IoT 78

IoT Analytics Big Data Architecture 78

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., When a QoS violation is predicted to occur and a culprit microservice located, Seer uses a lower level tracing infrastructure with hardware monitoring primitives to identify the reason behind the QoS violation.

Big Data 45

Big Data Cloud Performance Hardware 45

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Uber Engineering

APRIL 5, 2018

Three years ago, Uber Engineering adopted Hadoop as the storage ( HDFS ) and compute ( YARN ) infrastructure for our organization’s big data analysis.

Systems 109

Systems Big Data Storage Infrastructure 109

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. Over the past few years, the company has undergone a digital transformation, migrating to a hybrid, cloud-native environment built on Amazon Web Services and a microservices architecture.

Healthcare 229

Healthcare Artificial Intelligence Innovation Strategy 229

All Things Distributed

DECEMBER 8, 2016

Earlier this year, Amazon Web Services (AWS) announced it would launch a new AWS infrastructure region in Montreal, Quebec. The new Canada (Central) Region offers a robust suite of infrastructure, management, and developer services that can enable innovators to deploy market-leading applications. in the coming year. Performance.

AWS 155

AWS Cloud Lambda Innovation 155

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

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?

Infrastructure 184

Infrastructure Cloud Azure AWS 184

All Things Distributed

JUNE 26, 2016

In June 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in India. Market innovators and change agents need a comprehensive infrastructure platform that can reliably scale on-demand. Advanced problem solving that connects big data with machine learning.

AWS 90

AWS Cloud Healthcare Blockchain 90

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

The Netflix TechBlog

OCTOBER 15, 2019

In Netflix the microservice architecture is widely adopted and each microservice typically handles only one type of data. The core movie data resides in a microservice called Movie Service, and related data such as movie deals, talents, vendors and so on are managed by multiple other microservices (e.g

Transportation 192

Transportation Architecture Processing Storage 192

Scalegrid

MARCH 14, 2024

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

FEBRUARY 8, 2024

Their design emphasizes increasing availability by spreading out files among different nodes or servers — this approach significantly reduces risks associated with losing or corrupting data due to node failure. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Apache Spark.

Analytics 190

Analytics Artificial Intelligence Big Data Open Source 190

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. Further, business leaders must often determine whether the data is relevant for the business and if they can afford it.

Analytics 189

Analytics Infrastructure Storage Efficiency 189

Dynatrace

JANUARY 11, 2023

With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 224

Cloud Monitoring Best Practices Infrastructure 224

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. It makes use of the Eagle Genomics platform running on AWS, resulting in that Unilever’s digital data program now processes genetic sequences twenty times faster—without incurring higher compute costs.

Cloud 130

Cloud Energy AWS Healthcare 130

All Things Distributed

DECEMBER 20, 2017

Marketers use big data and artificial intelligence to find out more about the future needs of their customers. Anyone who wants to further develop his business digitally can't do that today without at the same time thinking about which IT infrastructure, which software and which algorithms he needs in order to achieve his plans.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Uber Engineering

OCTOBER 30, 2018

Cluster management, a common software infrastructure among technology companies, aggregates compute resources from a collection of physical hosts into a shared resource pool, amplifying compute power and allowing for the flexible use of data center hardware.

Hardware 103

Hardware Infrastructure Engineering Technology 103

Brendan Gregg

APRIL 30, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 43

DevOps Network Best Practices Programming 43

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. Logs on Grail Log data is foundational for any IT analytics.

Analytics 188

Analytics Innovation Metrics Database 188

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 236

Analytics Artificial Intelligence Storage Serverless 236

Brendan Gregg

APRIL 29, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 40

DevOps Network Best Practices Programming 40

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse? Data warehouses.

Artificial Intelligence 211

Artificial Intelligence Storage Analytics Government 211

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 119

Cloud AWS Automotive Latency 119

The Netflix TechBlog

MAY 26, 2020

Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the Cloud Network Infrastructure to address the identified problems. This means using existing infrastructure and established patterns within the Netflix ecosystem as much as possible and minimizing the introduction of new technologies.

Network 150

Network Tuning AWS Big Data 150

Uber Engineering

OCTOBER 30, 2018

Cluster management, a common software infrastructure among technology companies, aggregates compute resources from a collection of physical hosts into a shared resource pool, amplifying compute power and allowing for the flexible use of data center hardware.

Hardware 71

Hardware Infrastructure Engineering Technology 71

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making. The audits check for equality (i.e.

Big Data 253

Big Data Government Analytics Processing 253

All Things Distributed

DECEMBER 5, 2010

DNS is an absolutely critical piece of the internet infrastructure. While registrars manage the namespace in the DNS naming architecture, DNS servers are used to provide the mapping between names and the addresses used to identify an access point. Driving down the cost of Big-Data analytics.

Cloud 117

Cloud Internet Internet AWS 117

Uber Engineering

DECEMBER 17, 2019

Uber’s busy 2019 included our billionth delivery of an Uber Eats order, 24 million miles covered by bike and scooter riders on our platform, and trips to top destinations such as the Empire State Building, the Eiffel Tower, and the … The post Uber’s Data Platform in 2019: Transforming Information to Intelligence appeared first on Uber Engineering (..)

Engineering 144

Engineering Big Data Infrastructure Analytics 144

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 214

Artificial Intelligence DevOps Innovation Metrics 214

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 243

Latency Storage Big Data Tuning 243