The Netflix TechBlog

JANUARY 13, 2022

By Vikram Srivastava and Marcelo Mayworm Netflix has one of the most complex data platforms in the cloud on which our data scientists and engineers run batch and streaming workloads. This has led to a dramatic reduction in the time it takes to detect issues in hardware or bugs in recently rolled out data platform software.

Big Data 240

Big Data Infrastructure Metrics Games 240

Dynatrace

JANUARY 16, 2023

Modern, cloud-native computing is impossible to separate from containers and Kubernetes adoption. 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.

Open Source 339

Open Source Java Operating System Programming 339

Dynatrace

JULY 6, 2022

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. Big data automation tools. How does IT automation work?

Artificial Intelligence 184

Artificial Intelligence Tuning Strategy Big Data 184

Dynatrace

MARCH 24, 2023

By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management. Container technology enables organizations to efficiently develop cloud-native applications or to modernize legacy applications to take advantage of cloud services.

Infrastructure 181

Infrastructure Open Source Operating System Cloud 181

Dynatrace

MARCH 14, 2022

As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. exemplifies this trend, where cloud transformation and artificial intelligence are popular topics.

Healthcare 223

Healthcare Artificial Intelligence Innovation Strategy 223

All Things Distributed

DECEMBER 8, 2016

The AWS Cloud now operates in 40 Availability Zones within 15 geographic regions around the world, with seven more Availability Zones and three more regions coming online in China, France, and the U.K. AWS data centers in Canada will draw from a regional electricity grid that is 99 percent powered by hydropower. Performance.

AWS 150

AWS Cloud Lambda Innovation 150

ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. This data is also periodically uploaded to a data lake for offline batch analysis that calculates key statistics and looks for big trends that can help optimize operations.

IoT 78

IoT Analytics Big Data Architecture 78

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

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. The recently announced CXL3.0

Latency 52

Latency Hardware Cache Architecture 52

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

All Things Distributed

JULY 13, 2010

Expanding the Cloud - Cluster Compute Instances for Amazon EC2. Today, Amazon Web Services took very an important step in unlocking the advantages of cloud computing for a very important application area. Cluster Computer Instances for Amazon EC2 are a new instance type specifically designed for High Performance Computing applications.

Cloud 114

Cloud AWS Automotive Latency 114

ScaleOut Software

NOVEMBER 24, 2020

However, telematics architectures face challenges in responding to telemetry in real time. Current Telematics Architecture. The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data. Challenges for Current Architectures.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Dynatrace

JANUARY 11, 2023

In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 218

Cloud Monitoring Best Practices Infrastructure 218

All Things Distributed

DECEMBER 5, 2010

Expanding the Cloud with DNS - Introducing Amazon Route 53. I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. This achieves very low-latency for queries which is crucial for the overall performance of internet applications. Comments ().

Cloud 116

Cloud Internet Internet AWS 116

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. Then we perform frequent batch ETL from application databases to a data warehouse. Classic ETL.

Big Data 40

Big Data Retail Storage Google 40

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. This strategy reduces the volume needed during retrieval operations.

Storage 130

Storage Systems Big Data Azure 130

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 177

Infrastructure Cloud Azure AWS 177

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 183

Analytics Artificial Intelligence Big Data Open Source 183

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. These questions can be answered using the latest data as it streams in from the field. What are real-time digital twins and why are they useful here?

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. These questions can be answered using the latest data as it streams in from the field. What are real-time digital twins and why are they useful here?

Logistics 52

Logistics Analytics Scalability Cloud 52

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 Architecture Scalability 130

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers.

Artificial Intelligence 76

Artificial Intelligence Social Media Logistics AWS 76

Scalegrid

JUNE 28, 2024

This strategic separation elevates performance and user experience, as users engage with an uninterrupted interface while sophisticated tasks are executed discreetly behind the scenes. Integrating such a backend service system supported by RabbitMQ into a web application’s architecture can drastically alter its operational dynamics.

IoT 130

IoT Healthcare Programming Open Source 130

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 182

Analytics Infrastructure Storage Architecture 182

Dynatrace

FEBRUARY 16, 2023

In his keynote address on the first day of Perform 2023 in Las Vegas, Dynatrace Chief Technology Officer Bernd Greifeneder and his colleagues discussed how organizations struggle with this problem and how Dynatrace is meeting the moment. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 181

Analytics Innovation Metrics Architecture 181

SQL Server According to Bob

FEBRUARY 15, 2018

Microsoft engineering is actually sending quite a few folks over the Atlantic to come talk about SQL Server 2017, SQL Server on Linux, GDPR, Performance, Security, Azure Data Lake, Azure SQL Database, Azure SQL Data Warehouse, and Azure CosmosDB. Best practices on Building a Big Data Analytics Solution – Michael Rys.

Engineering 40

Engineering Azure Best Practices Servers 40

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 42

DevOps Network Best Practices Programming 42

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 203

Artificial Intelligence Storage Analytics Government 203

The Netflix TechBlog

MAY 26, 2020

Service Segmentation: The ease of the cloud deployments has led to the organic growth of multiple AWS accounts, deployment practices, interconnection practices, etc. 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.

Network 151

Network Tuning AWS Big Data 151

Dynatrace

OCTOBER 4, 2022

Limited data availability constrains value creation. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Additionally, Grail delivers unrivaled performance without losing the precision of unsampled, gapless data.

Analytics 229

Analytics Artificial Intelligence Storage Serverless 229

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source. The list goes on.

Analytics 52

Analytics IoT Lambda Big Data 52

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. Modern IT operations involve observing networks, cloud resources and applications, endpoint devices, and more.

DevOps 191

DevOps Artificial Intelligence Healthcare Innovation 191

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.” Only deterministic AIOps technology enables fully automated cloud operations across the entire enterprise development lifecycle.

Artificial Intelligence 207

Artificial Intelligence DevOps Innovation Metrics 207

Abhishek Tiwari

DECEMBER 27, 2017

ETL refers to extract, transform, load and it is generally used for data warehousing and data integration. With the arrival of new cloud-native tools and platform, ETL is becoming obsolete. There are several emerging data trends that will define the future of ETL in 2018. Unified data management architecture.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

All Things Distributed

APRIL 27, 2011

To our shareowners: Random forests, naïve Bayesian estimators, RESTful services, gossip protocols, eventual consistency, data sharding, anti-entropy, Byzantine quorum, erasure coding, vector clocks. Look inside a current textbook on software architecture, and youll find few patterns that we dont apply at Amazon. Amazon DynamoDB â??

Technology 147

Technology Technology AWS Storage 147