The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

Dynatrace

MAY 2, 2024

Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. Whether multicloud or hybrid , public or private, cloud-native architecture offers flexibility and agility to help organizations deliver software faster.

Artificial Intelligence 222

Artificial Intelligence Cloud Best Practices DevOps 222

Dynatrace

MAY 19, 2023

For cloud operations teams, network performance monitoring is central in ensuring application and infrastructure performance. Network traffic growth is the main reason for increasing spending, largely because of the adoption of hybrid and multi-cloud architectures. This starts with a different approach to data aggregation.

Network 208

Network Monitoring Performance Traffic 208

Dynatrace

AUGUST 11, 2022

This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management. This code is then executed on remote servers in response to an event, such as users interacting with functional web elements. FaaS vs. monolithic architectures. Limited visibility.

Development 243

Development Serverless Best Practices Lambda 243

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Causal AI is a different approach that goes beyond event correlations to understand the underlying reasons for trends and patterns. It uses fault-tree analysis to identify the component events that cause outcomes at a higher level.

Government 193

Government Analytics Benchmarking Storage 193

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. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 180

Analytics Infrastructure Storage Efficiency 180

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Once teams solidify infrastructure and application performance, security is the subsequent priority.

Analytics 193

Analytics Infrastructure Efficiency Technology 193

Dynatrace

OCTOBER 2, 2023

Transforming an application from monolith to microservices-based architecture can be daunting, and knowing where to start can be difficult. Unsurprisingly, organizations are breaking away from monolithic architectures and moving toward event-driven microservices. Migration is time-consuming and involved.

Architecture 224

Architecture Artificial Intelligence Cloud Open Source 224

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. where an error occurred at the code level.

Analytics 213

Analytics Storage Infrastructure Metrics 213

Dynatrace

JANUARY 22, 2024

While traditional AI relies on finding correlations in data, causal AI aims to determine the precise underlying mechanisms that drive events and outcomes. Therefore, causal AI is a useful deterministic AI technique that provides concrete answers about the source of events, not probabilistic outputs.

Artificial Intelligence 200

Artificial Intelligence Healthcare Retail Government 200

Dynatrace

OCTOBER 7, 2021

To get a better understanding of AWS serverless, we’ll first explore the basics of serverless architectures, review AWS serverless offerings, and explore common use cases. Serverless architecture: A primer. Serverless architecture shifts application hosting functions away from local servers onto those managed by providers.

Serverless 273

Serverless AWS Lambda Storage 273

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. In a unified strategy, logs are not limited to applications but encompass infrastructure, business events, and custom metrics.

Best Practices 236

Best Practices Analytics Artificial Intelligence Infrastructure 236

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

OCTOBER 4, 2022

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. It’s based on cloud-native architecture and built for the cloud. But what does that mean?

Artificial Intelligence 261

Artificial Intelligence Analytics Storage Architecture 261

Dynatrace

FEBRUARY 26, 2024

The event focused on empowering and informing our valued partner ecosystems by providing updates on strategy, market opportunities, cloud modernization, and a wealth of crucial insights. Building apps and innovations.

Artificial Intelligence 186

Artificial Intelligence IoT Programming Innovation 186

The Netflix TechBlog

APRIL 12, 2022

In a federated graph architecture, how can we answer such a query given that each entity is served by its own service? Sample GraphQL query To keep the index up to date, events are used to trigger a reindexing operation for individual entities when they change. however, application events are also supported when necessary.

Engineering 263

Engineering Architecture Java Infrastructure 263

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes.

Cloud 256

Cloud Azure Analytics AWS 256

Dynatrace

JANUARY 31, 2024

The comprehensive functionality is highly customizable, facilitating a seamless presentation of any SAP metric in the context of SAP systems, business architecture, and all SAP-integrated systems. SAP HANA server infrastructure monitored with OneAgent. Architectural overview.

Java 182

Java Analytics Best Practices Monitoring 182

The Netflix TechBlog

JUNE 7, 2021

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. These metrics are visualized using Lumen , a self-service dashboarding infrastructure. What is BPF?

Network 325

Network Transportation AWS Cloud 325

Dynatrace

MAY 24, 2023

The core operating system has a lightweight footprint of only a few hundred MBs when uncompressed, yet it is powerful enough to support various profiles, including x64 or Arm64-based architectures. Tracking the availability, health, and resource utilization of the underlying Kubernetes infrastructure is essential for several reasons.

Azure 220

Azure Monitoring Operating System Virtualization 220

Dynatrace

DECEMBER 23, 2020

Distributed tracing follows an interaction by tagging it with a unique identifier, which stays with it as it interacts with microservices, containers, and infrastructure. It can also offer real-time visibility into user experience, from the top of the stack right down to the application layer and the large-scale infrastructure beneath.

Infrastructure 198

Infrastructure Cloud Monitoring Metrics 198

Dynatrace

SEPTEMBER 5, 2023

An extension-built topology model allows you to easily navigate between all the entities that make up your database servers or cluster architecture and review specific statistics in their proper context.

Database 194

Database Metrics Monitoring Servers 194

Dynatrace

JANUARY 31, 2024

Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications. million AI server units annually by 2027, consuming 75.4+

Cache 199

Cache Azure Infrastructure Monitoring 199

Dynatrace

AUGUST 21, 2023

Unlike traditional log management, which can perpetuate manual work and data silos, a more scalable approach is to use a unified log management solution that automatically retains the context of events and dependencies throughout even the most complex enterprise. Free IT teams to focus on and support product innovation.

Analytics 143

Analytics Innovation Infrastructure Scalability 143

Dynatrace

NOVEMBER 17, 2023

Dynatrace observability architecture can be classified into three layers: Orchestration (Dynatrace) CI/CD toolset (Jenkins / Chef / Puppet / Bamboo, etc.) Infrastructure layer (Kubernetes Cluster, GCP, Standalone server, etc.)

Innovation 216

Innovation Architecture Code Processing 216

Strategic Tech

JULY 21, 2020

Most organisations go through an architecture modernisation effort at some point as their systems drift into a state of intolerable maintenance costs and they diverge too far from modern technological advances. What architecture will be optimal for enabling that business vision? How are we going to deliver the new architecture?

Architecture 98

Architecture Design Software Architecture Strategy 98

Dynatrace

JULY 18, 2023

This is especially crucial in microservice architectures, where the number of components can be overwhelming. Configuration as Code in Git repos, automatically applied by Dynatrace Analogous to infrastructure as code, Configuration as Code, or “everything as code” is now essential for tackling software development challenges.

Best Practices 182

Best Practices Code Infrastructure Latency 182

Dynatrace

FEBRUARY 23, 2022

Increased adoption of Infrastructure as code (IaC). IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware. Infrastructure as code is also known as software-defined infrastructure, or software intelligence as code.

Serverless 257

Serverless Infrastructure Innovation DevOps 257

Dynatrace

APRIL 21, 2022

Now, Dynatrace has gone a step further and expanded its coverage and intelligent observability into the next layer: database infrastructure. With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale.

Database 237

Database DevOps Analytics Servers 237

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. This is a rather simple move as it doesn’t directly impact your infrastructure, just your contract with your electricity provider. Application architectures might not be conducive to rehosting.

Cloud 202

Cloud Energy Best Practices Cache 202

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Understand and optimize your architecture. What is Lambda? What is Lambda SnapStart? Optimize timing hotspots. Simplify error analytics.

Lambda 218

Lambda AWS Serverless Latency 218

Dynatrace

FEBRUARY 12, 2024

And that’s where lifecycle events come in. Observability for infrastructure Next up, Guido Deinhammer, CPO for infrastructure observability at Dynatrace, dove into the use case for observability across infrastructure and talked through new application offerings from Dynatrace.

Engineering 175

Engineering Development Infrastructure Cloud 175

Dynatrace

JANUARY 17, 2023

Kubernetes teams lack simple, consistent, vendor-agnostic architectures for analyzing observability signals across teams. Kubernetes workload pages offer resource analysis, lists of services, pods, events, and logs. The same page provides further analysis with workload logs and events.

Analytics 272

Analytics Metrics Open Source Java 272

Dynatrace

APRIL 7, 2023

Despite being serverless, the function still requires infrastructure on which to run. Triggering the Lambda function is event-driven and could include changes in state or an update to a file. The difference is the owner of the Lambda function does not have to worry about provisioning and managing servers.

Lambda 208

Lambda AWS Serverless Latency 208

Dynatrace

JANUARY 16, 2023

Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes infrastructure models differ between cloud and on-premises. Kubernetes moved to the cloud in 2022.

Open Source 337

Open Source Java Operating System Programming 337

Dynatrace

MAY 19, 2021

Running workloads on top of Kubernetes is significantly valuable, not just for application teams, but for infrastructure teams as well. Dynatrace provides the insights to help teams determine this, while also uncovering a range of additional insights, including event tracking and over-commitment rate. What’s Next.

Innovation 232

Innovation Azure Infrastructure Cloud 232