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 240

Analytics Artificial Intelligence Storage Serverless 240

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. They enable IT teams to identify and address the precise cause of application and infrastructure issues.

Analytics 193

Analytics Infrastructure Storage Efficiency 193

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? Functionality.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

MARCH 24, 2023

Containers enable developers to package microservices or applications with the libraries, configuration files, and dependencies needed to run on any infrastructure, regardless of the target system environment. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles.

Infrastructure 191

Infrastructure Open Source Operating System Cloud 191

Scalegrid

FEBRUARY 8, 2024

Consequently, if any node happens to fail, the remaining ones provide continued access to the saved information without risking service interruptions or permanent data loss. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

APRIL 19, 2023

. “We relied on customers (our players) to call us and let us know if something was broken and had scattered monitoring tools,” Mehdiabadi says. Mehdiabadi says the company can now easily forecast both frontend and backend data to see everything that’s going on. “Our players just see the frontend. .

Entertainment 161

Entertainment Analytics Healthcare Games 161

Dynatrace

OCTOBER 4, 2022

While data lakehouses combine the flexibility and cost-efficiency of data lakes with the querying capabilities of data warehouses, it’s important to understand how these storage environments differ. Data warehouses. Data warehouses were the original big data storage option. Download report now!

Artificial Intelligence 214

Artificial Intelligence Storage Analytics Government 214

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

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 184

Artificial Intelligence Social Media Monitoring IoT 184

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 291

Artificial Intelligence Cloud Innovation Strategy 291

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. Challenges The cloud network infrastructure that Netflix utilizes today consists of AWS services such as VPC, DirectConnect, VPC Peering, Transit Gateways, NAT Gateways, etc and Netflix owned devices.

Network 325

Network Transportation AWS Cloud 325

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. But logs are just one pillar of the observability triumvirate.

Analytics 191

Analytics Innovation Metrics Database 191

Dynatrace

AUGUST 10, 2021

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. Vikash Chhaganlal , GM of Engineering and Infrastructure at Kiwibank said it. Investing in data is easy but using it is really hard”.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

APRIL 11, 2023

Convergence of observability and security data is a must As digital transformation accelerates, most organizations house hybrid cloud environments for which observability and security are paramount concerns. This includes collecting metrics, logs, and traces from all applications and infrastructure components.

Cloud 192

Cloud DevOps Open Source Retail 192

The Netflix TechBlog

APRIL 29, 2019

An easy, though imprecise, way of thinking about Netflix infrastructure is that everything that happens before you press Play on your remote control (e.g., Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. are you logged in?

Open Source 279

Open Source Network Infrastructure Big Data 279

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

The Netflix TechBlog

FEBRUARY 16, 2021

The changes are administered by the regular git pull request flow and guarded by the validation infrastructure. Observability/Validation Guardrails: A comprehensive validation infrastructure designed to ensure that SKURules changes are accurate and do not break existing behavior.

Mobile 209

Mobile Engineering Infrastructure Scalability 209

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. Pediatricians use these applications to monitor the heart rate of child patients. This perfect storm of challenges has led to the accelerated adoption of artificial intelligence, including AIOps.

Healthcare 232

Healthcare Artificial Intelligence Innovation Strategy 232

All Things Distributed

DECEMBER 13, 2016

In November 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in the United Kingdom. Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

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. Real-Time Device Tracking with In-Memory Computing Can Fill an Important Gap in Today’s Streaming Analytics Platforms. The list goes on.

IoT 78

IoT Analytics Big Data Architecture 78

The Netflix TechBlog

JULY 26, 2021

Data Mesh provides a drag-and-drop, self-service user interface for exploring sources and creating pipelines so that users can focus on delivering business value without having to worry about managing and scaling complex data streaming infrastructure. The audits check for equality (i.e.

Big Data 253

Big Data Government Analytics Processing 253

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 218

Artificial Intelligence DevOps Innovation Metrics 218

Dynatrace

MARCH 11, 2021

I took a big-data-analysis approach, which started with another problem visualization. Statistically analyzing Dynatrace’s event and problem data. The color of the line reflects the impact of the problem: infrastructure, service or application. But that didn’t work for me. Visualizing problem noise.

Tuning 264

Tuning Architecture Monitoring Big Data 264

All Things Distributed

JANUARY 6, 2016

In November, Amazon Web Services announced that it would launch a new AWS infrastructure region in South Korea. Nexon uses AWS global infrastructure to manage its IT infrastructure more effectively, and they are now using AWS for their domestic workloads as well.

AWS 110

AWS Cloud Games Latency 110

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

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 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

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. It will make Artificial Intelligence the leading working group for assessing and deciding infrastructure.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

FEBRUARY 25, 2011

Often an application requires several infrastructure resources to be created and AWS CloudFormation helps customers create and manage these collections of AWS resources in a simple and predictable way. They also setup Auto Scaling, EC2 and RDS Security Groups, configure CloudWatch monitoring and alarms, and use SNS for notifications.

AWS 121

AWS Cloud Scalability Storage 121

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

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