The Netflix TechBlog

JULY 30, 2019

and beyond By Anoop Panicker and Kishore Banala Conductor is a workflow orchestration engine developed and open-sourced by Netflix. Many of the Netflix Content and Studio Engineering services rely on Conductor for efficient processing of their business flows. The Netflix Media Database (NMDB) is one such example.

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Lambda Media Open Source Metrics 189

All Things Distributed

DECEMBER 1, 2016

I was joined by 32,000 James Bonds at the conference today from all around the world, and we introduced new services focused on accelerating this transformation across development, testing and operations, data and analytics, and computation itself. We also added C# support for AWS Lambda. Step through functions at scale.

AWS 162

AWS Development Lambda Open Source 162

Dynatrace

SEPTEMBER 17, 2019

Cluster and container Log Analytics. Dynatrace not only visualizes this and more data, but our deterministic AI engine – Davis – automatically detects anomalies across all monitored and observed entities: hosts, containers, services, proxies, end users and more. 3 Log Analytics. Full-stack observability. Service mash insights.

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AWS Monitoring Ecommerce Lambda 127

Dynatrace

OCTOBER 8, 2020

Now Dynatrace is pleased to announce another industry first: automatic, end-to-end observability for AWS Lambda functions in Node.js By leveraging the AWS Lambda Extensions API , Dynatrace brings the unique value of its Davis AI-engine for fully automatic root cause analysis to AWS Lambda. and Python via traces.

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Lambda AWS Programming Serverless 287

Dynatrace

JANUARY 19, 2021

With our enhanced AWS Lambda extension , we bring the power of Dynatrace PurePath 4 automatic tracing technology to serverless function observability. unique capabilities of the enhanced AWS Lambda extension include: An end-to-end distributed tracing view with full visibility?across Actionable analytics across the?entire

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Lambda Serverless AWS Mobile 202

The Netflix TechBlog

MAY 21, 2019

Netflix engineers run a series of tests and benchmarks to validate the device across multiple dimensions including compatibility of the device with the Netflix SDK, device performance, audio-video playback quality, license handling, encryption and security. The agent training library is written in Python and supports versions 2.7,

Testing 163

Testing AWS Lambda Network 163

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. Modularity and flexibility.

Big Data 154

Big Data Processing Lambda Database 154

Dynatrace

NOVEMBER 17, 2020

FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes. PurePath unlocks precise and actionable analytics across the software lifecycle in heterogenous cloud-native environments. PurePath analytics provide a waterfall visualization of all requests , making it easy to identify hotspots.

Analytics 153

Analytics Technology Technology Cloud 153

Adrian Cockcroft

MAY 6, 2023

Then they tried to scale it to cope with high traffic and discovered that some of the state transitions in their step functions were too frequent, and they had some overly chatty calls between AWS lambda functions and S3. A real-time user experience analytics engine for live video, that looked at all users rather than a subsample.

Serverless 145

Serverless Lambda Best Practices Traffic 145

Dynatrace

MARCH 16, 2022

We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. After a function is executed, Lambda logs both the actual duration of the function and the billed duration of the function. Dynatrace news.

Metrics 207

Metrics Lambda Infrastructure Monitoring 207

Dynatrace

APRIL 22, 2022

The intelligent AI engine instantly processes billions of dependencies for precise answers, prioritizing them by business impact and including root-cause determination for issues. To reduce the manual effort of account reconciliation and running the scripts, they converted the Python scripts to Lambda functions.

Cloud 163

Cloud Lambda Serverless AWS 163

Dynatrace

AUGUST 21, 2023

But, as Justin Scherer, senior software engineer from Northwestern Mutual found, OpenTelemetry by itself is not a panacea. Challenges of adopting OpenTelemetry The first challenge is that OpenTelemetry only gathers and processes data—it has no back end, no storage, and no analytics. What is OpenTelemetry?

Open Source 189

Open Source Analytics Lambda Metrics 189

All Things Distributed

JULY 14, 2015

DynamoDB Streams is the enabling technology behind two other features announced today: cross-region replication maintains identical copies of DynamoDB tables across AWS regions with push-button ease, and triggers execute AWS Lambda functions on streams, allowing you to respond to changing data conditions. Let me expand on each one of them.

Database 167

Database Lambda AWS IoT 167

Dynatrace

APRIL 5, 2021

Similar to AWS Lambda , Azure Functions is a serverless compute service by Microsoft that can run code in response to predetermined events or conditions (triggers), such as an order arriving on an IoT system, or a specific queue receiving a new message. Dynatrace news. What is Azure Functions? Making the best use of Azure Functions.

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Azure Serverless IoT Lambda 136

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., At a high level Gandalf looks like this: It ingests performance data, failure signals, and component update events and passes them through both fast and slow paths (a lambda architecture). NSDI’20.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

Dynatrace

NOVEMBER 24, 2020

Dynatrace provides advanced observability across on-premises systems and cloud providers in a single platform, providing application performance monitoring, infrastructure monitoring, Artificial Intelligence-driven operations (AIOps), code-level execution, digital experience monitoring (DEM), and digital business analytics.

AWS 142

AWS Artificial Intelligence Best Practices Lambda 142

Dynatrace

AUGUST 12, 2020

This release is just the latest addition to advanced observability for cloud-native technologies offered by the Dynatrace Software Intelligence Platform, which provides the fastest and easiest approach to end-to-end monitoring and tracing of web applications on serverless technologies like Azure Functions, Azure App Service, or AWS Lambda.

Serverless 232

Serverless Azure Monitoring Lambda 232

All Things Distributed

OCTOBER 7, 2015

In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. SPICE enables QuickSight to scale to many terabytes of analytical data and deliver response time for most visualization queries in milliseconds.

Cloud 137

Cloud Big Data AWS Analytics 137

Dynatrace

AUGUST 12, 2020

This release is just the latest addition to advanced observability for cloud-native technologies offered by the Dynatrace Software Intelligence Platform, which provides the fastest and easiest approach to end-to-end monitoring and tracing of web applications on serverless technologies like Azure Functions, Azure App Service, or AWS Lambda.

Serverless 140

Serverless Azure Monitoring Lambda 140

All Things Distributed

JUNE 21, 2018

Typical use cases for a graph database include social networking, recommendation engines, fraud detection, and knowledge graphs. Amazon Elasticsearch Service (Amazon ES) is purpose built for providing near real-time visualizations and analytics of machine-generated data by indexing, aggregating, and searching semi structured logs and metrics.

Database 167

Database AWS Games Latency 167

All Things Distributed

OCTOBER 12, 2016

Since then we’ve introduced Amazon Kinesis for real-time streaming data, AWS Lambda for serverless processing, Apache Spark analytics on EMR, and Amazon QuickSight for high performance Business Intelligence. Building upon Redis. Amazon’s enhancements address many day-to-day challenges with running Redis.

Scalability 130

Scalability Analytics Cache AWS 130

O'Reilly

MAY 19, 2020

More than one-third have adopted site reliability engineering (SRE); slightly less have developed production AI services. Software engineers represent the largest cohort, comprising almost 20% of all respondents (see Figure 1 ). Presence of a Site Reliability Engineering (SRE) team within respondents’ organizations.

Cloud 141

Cloud Serverless AWS Architecture 141

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Using Lambda@Edge and Cloudflare Workers you can already perform A/B testing, authentication, and authorisation, intelligent routing, etc.

Systems 63

Systems Cache Website Network 63

All Things Distributed

NOVEMBER 30, 2016

Around 20 years ago, we used machine learning in our recommendation engine to generate personalized recommendations for our customers. The same conversational engine that powers Alexa is now available to any developer, making it easy to bring sophisticated, natural language 'chatbots' to new and existing applications.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165