The Netflix TechBlog

JANUARY 25, 2023

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. All data should be also available for offline analytics in Hive/Iceberg. All of these services at a later point want to annotate their objects or entities.

Scalability 283

Scalability Latency Media Architecture 283

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. AI observability and data observability The importance of effective AI data analysis to organizational success places a burden on leaders to better ensure that the data on which algorithms are based is accurate, timely, and unbiased.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

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 181

Analytics Artificial Intelligence Big Data Open Source 181

Dynatrace

NOVEMBER 3, 2023

that offers security, scalability, and simplicity of use. Python code also carries limited scalability and the burden of governing its security in production environments and lifecycle management. address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0:

Technology 240

Technology Technology Scalability Availability 240

Dynatrace

JANUARY 31, 2024

The exponential growth of data volume—including observability, security, software lifecycle, and business data—forces organizations to deal with cost increases while providing flexible, robust, and scalable ingest. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 189

Analytics Processing Transportation Storage 189

Dynatrace

APRIL 5, 2024

With the Dynatrace platform, which report author Ron Williams describes as “an all-in-one observability, security, analytics, and automation platform for cloud-native, hybrid, and multicloud environments,” all your data is stored in one massively scalable data lakehouse.

Cloud 228

Cloud Analytics Monitoring Scalability 228

DZone

SEPTEMBER 14, 2023

Such a gigantic log analysis system is part of their cybersecurity management. For the need of real-time monitoring, threat tracing, and alerting, they require a log analytic system that can automatically collect, store, analyze, and visualize logs and event records.

Analytics 124

Analytics Storage Architecture Scalability 124

DZone

OCTOBER 24, 2023

The ELK stack is an abbreviation for Elasticsearch, Logstash, and Kibana, which offers the following capabilities: Elasticsearch: a scalable search and analytics engine with a log analytics tool and application-formed database, perfect for data-driven applications.

Analytics 255

Analytics Storage Infrastructure Scalability 255

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. They also need a high-performance, real-time analytics platform to make that data actionable.

Cloud 244

Cloud Lambda AWS Analytics 244

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Predictive analytics, powered by AI, enhance business processes and optimize resource allocation according to workload demands.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. Traditional log management solution challenges Survey data suggests that teams need a modern approach to log management and analytics, which requires a unified log management solution.

Analytics 143

Analytics Innovation Infrastructure Scalability 143

DZone

JUNE 7, 2023

ERP systems enhance collaboration, streamline workflows, automate tasks, and provide robust data management and analysis capabilities. They contribute to efficiency, scalability , and improved decision-making, making them indispensable in modern software development.

Systems 169

Systems Software Software Development 169

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost.

Efficiency 268

Efficiency Performance Analytics DevOps 268

Dynatrace

MARCH 6, 2024

It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. The entire topology is built on Dynatrace based on the components it finds configured on your IBM i system, all acting cohesively to accelerate root cause and impact analysis. Nothing is installed on your IBM i systems.

Monitoring 227

Monitoring Infrastructure Metrics Analytics 227

Dynatrace

NOVEMBER 17, 2020

Dynatrace has continuously extended and improved PurePath to the point where it now provides industry-leading transaction capturing and code-level analysis for the broadest set of technologies, with some additional and unique capabilities: Frontend to backend. Automatic topology analysis. Near-zero overhead.

Analytics 152

Analytics Technology Technology Cloud 152

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 177

DevOps Analytics Storage Metrics 177

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.

Artificial Intelligence 261

Artificial Intelligence Analytics Storage Architecture 261

Dynatrace

JUNE 27, 2023

We hear from our customers how important it is to have a centralized, quick, and powerful access point to analyze these logs; hence we’re making it easier to ingest AWS S3 logs and leverage Dynatrace Log Management and Analytics powered by Grail.

AWS 191

AWS Cloud Lambda Analytics 191

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Comparing log monitoring, log analytics, and log management. Log management brings together log monitoring and log analysis.

Systems 180

Systems Cloud Analytics DevOps 180

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

MARCH 29, 2023

How customers use AlloyDB for PostgreSQL As more enterprise organizations embrace cloud-native service adoption and accelerate their application modernization initiatives, the scalability of services becomes even more critical to deliver flawless and secure digital experiences.

Google 213

Google Metrics Cloud Analytics 213

Scalegrid

DECEMBER 21, 2023

This Command Line Interface (CLI) can be used for basic activity metrics and offers powerful real-time data analysis tools, giving you more control over the performance of your servers. Command-Line Analysis Commanding the Redis CLI efficiently requires knowledge of every command’s function and how to decipher its output.

Strategy 130

Strategy Monitoring Latency DevOps 130

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

OCTOBER 23, 2023

As such, the observability platform used to monitor Hyper-V should ideally fulfill requirements for holistic visibility, correlation and causation analysis, AI-powered analytics, scalability, and security. Dynatrace is a platform that satisfies all these criteria.

Efficiency 206

Efficiency Virtualization Hardware Performance 206

The Netflix TechBlog

MARCH 5, 2019

In the People space, our data teams contribute to consolidated systems of record on employees, contractors, partners and talent data to help central teams manage headcount planning, reduce acquisition cost, improve hiring practices, and other people analytics related use-cases. Can we measure the impact of Inclusion and Diversity initiatives?

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . Designed to help scalable applications deliver high performance, it stores live, fast-changing data in memory (DRAM) for fast updates and retrieval. It also transparently makes use of the IMDG’s scalable computing resources to accelerate the analysis.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

FEBRUARY 1, 2024

They offer unmatched flexibility and scalability to meet the fluctuating demands of the market. With a single click, the dashboard shows an analysis of logs and metrics for a selected resource in its appropriate context, making it easier to understand the complexities inherent in cloud infrastructure.

Cloud 197

Cloud Strategy Metrics Government 197

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

APRIL 17, 2024

Mainframe is a strong choice for hybrid cloud, but it brings observability challenges IBM Z is a mainframe computing platform chosen by many organizations with a hybrid cloud strategy because of its security, resiliency, performance, scalability, and sustainability. Next you can start using logs in your troubleshooting and analysis tasks.

Operating System 197

Operating System Energy Infrastructure Architecture 197

Dynatrace

FEBRUARY 16, 2023

The cloud boasts many benefits, such as increasing scalability, accelerating digital transformation, and reducing costs. Data on glass is not scalable, especially given the increased scale and volume of data. A holistic, unified approach to extracting analytics at scale is necessary to keep pace with digital transformation.

Analytics 166

Analytics Innovation Cloud Scalability 166

Dynatrace

APRIL 18, 2024

Combining causal AI with machine learning-based algorithms analyzes vast datasets in real-time and provides practitioners with precise answers driven by root cause analysis. AI-driven insights optimize resource allocation, bolster internal developer platform scalability, and introduce autonomous operations for platform engineers.

DevOps 183

DevOps Engineering Artificial Intelligence Infrastructure 183

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

APRIL 25, 2023

This gives public sector teams the best of both worlds: peak-performance applications without vulnerabilities, made possible by a highly scalable application security solution. Visibility into pre-production and production, enabling both runtime vulnerability analytics and runtime application protection.

Government 206

Government Innovation Open Source Traffic 206

Dynatrace

NOVEMBER 28, 2022

The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability. Simplify error analytics. Automatic observability and root-cause analysis for DevOps, cloud, and apps teams. Built for enterprise scalability.

Lambda 218

Lambda AWS Serverless Latency 218

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. StatsD is a widely adopted metric protocol for collecting, aggregating, and sending developer-defined application metrics to separate systems for graphical analysis. Multidimensional analysis for external metrics ingested via secure local REST API.

Open Source 250

Open Source Metrics Analytics Tuning 250

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69