The Netflix TechBlog

JANUARY 13, 2022

Pensive infrastructure comprises two separate systems to support batch and streaming workloads. This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure.

Big Data 238

Big Data Infrastructure Metrics Hardware 238

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

JANUARY 16, 2023

The study analyzes factual Kubernetes production data from thousands of organizations worldwide that are using the Dynatrace Software Intelligence Platform to keep their Kubernetes clusters secure, healthy, and high performing. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes moved to the cloud in 2022.

Open Source 346

Open Source Java Operating System Programming 346

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

OCTOBER 25, 2022

DevOps requires infrastructure experts and software experts to work hand in hand. Thus, NoOps became a loosely defined concept that initially proposed only leveraging cloud-based PaaS and IaaS solutions that freed up operations from provisioning infrastructure and deploying applications. Introduction of AIOps.

DevOps 222

DevOps Big Data Cloud Innovation 222

The Netflix TechBlog

OCTOBER 28, 2021

Netflix’s unique work culture and petabyte-scale data problems are what drew me to Netflix. During earlier years of my career, I primarily worked as a backend software engineer, designing and building the backend systems that enable big data analytics.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

JULY 6, 2022

With ever-evolving infrastructure, services, and business objectives, IT teams can’t keep up with routine tasks that require human intervention. This kind of automation can support key IT operations, such as infrastructure, digital processes, business processes, and big-data automation. Big data automation tools.

Artificial Intelligence 193

Artificial Intelligence Tuning Strategy Big Data 193

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 213

Artificial Intelligence Analytics Storage Government 213

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. And organizations use Kubernetes to run on an increasing array of workloads.

Infrastructure 190

Infrastructure Open Source Operating System Cloud 190

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 239

Analytics Artificial Intelligence Storage Serverless 239

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 192

Analytics Infrastructure Storage Efficiency 192

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 207

Artificial Intelligence DevOps Hardware Virtualization 207

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

Dynatrace

APRIL 19, 2023

.” Accessing business insights and data with precision and long-term context After working with Dynatrace, BCLC now has a twenty-four-seven data center team with an easy-to-share, intuitive datacenter hyper wall dashboard showing the overall health of the entire system — infrastructure, applications, networks, and user experience.

Entertainment 160

Entertainment Analytics Healthcare Games 160

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

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

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 190

Analytics Innovation Metrics Database 190

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 191

Cloud DevOps Open Source Retail 191

Dynatrace

AUGUST 10, 2021

Vikash Chhaganlal , GM of Engineering and Infrastructure at Kiwibank said it. She dispelled the myth that more big data equals better decisions, higher profits, or more customers. Investing in data is easy but using it is really hard”. The fact is, data on its own isn’t meaningful. And they were.

DevOps 246

DevOps Innovation Big Data Cloud 246

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

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. However, 58% of IT leaders say infrastructure management drains resources as cloud use increases. What is AIOps, and how does it work?

Artificial Intelligence 290

Artificial Intelligence Cloud Innovation Strategy 290

Dynatrace

JUNE 1, 2020

There are many different types of monitoring from APM to Infrastructure Monitoring, Network Monitoring, Database Monitoring, Log Monitoring, Container Monitoring, Cloud Monitoring, Synthetic Monitoring, and End User monitoring. From APM to full-stack monitoring. This is something Dynatrace offers users to make sure monitoring is made easy.

Artificial Intelligence 183

Artificial Intelligence Social Media Monitoring IoT 183

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. This perfect storm of challenges has led to the accelerated adoption of artificial intelligence, including AIOps. Gartner introduced the concept of AIOps in 2016.

Healthcare 231

Healthcare Artificial Intelligence Innovation Strategy 231

Dynatrace

JUNE 1, 2020

There are many different types of monitoring from APM to Infrastructure Monitoring, Network Monitoring, Database Monitoring, Log Monitoring, Container Monitoring, Cloud Monitoring, Synthetic Monitoring and End User monitoring. From APM to full-stack monitoring. This is something Dynatrace offers users, to make sure monitoring is made easy.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

All Things Distributed

NOVEMBER 5, 2015

We are committed to meeting our customers’ increasing needs for capacity and for powerful AWS services that eliminate the heavy lifting of the underlying IT infrastructure -- allowing them to focus more of their precious resources on their core business.

AWS 167

AWS Retail Entertainment IoT 167

Alex Podelko

DECEMBER 19, 2019

How to select appropriate IT Infrastructure to support Digital Transformation by Boris Zibitsker, BEZNext. – Optimizing IT infrastructure – with specific use cases. Boris has unique expertise in that area – especially in Big Data applications. Something we all struggle with.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

All Things Distributed

SEPTEMBER 29, 2016

To support our customers’ growth, their digital transformation, and to speed up their innovation and lower the cost of running their IT, we continue to build out additional European infrastructure. By offloading the running of the infrastructure to AWS, today we have customers all over the US, in Asia and also in Europe.

AWS 166

AWS IoT Internet Internet 166

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

DZone

JANUARY 15, 2021

Modern IT infrastructure requires robust systems thinking and reliability engineering to keep the show on the road. Systems are no longer monolithic and localized; they depend on many globalized uncoupled systems working in unison, often in the form of ethereal microservices. Downtime is not an option.

Engineering 154

Engineering Infrastructure Cloud Systems 154

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

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

All Things Distributed

JUNE 20, 2017

They chose to use AWS in order to focus on developing their platform, instead of managing infrastructure. Beyond running their web properties and applications, Next Digital also uses Amazon RDS (database), Amazon ElastiCache (caching), and Amazon Redshift (data warehousing).

AWS 149

AWS Logistics Cloud Social Media 149

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