The Netflix TechBlog

DECEMBER 17, 2024

The Challenge of Title Launch Observability As engineers, were wired to track system metrics like error rates, latencies, and CPU utilizationbut what about metrics that matter to a titlessuccess? This approach provides a few advantages: Low burden on existing systems: Log processing imposes minimal changes to existing infrastructure.

Traffic 168

Traffic Scalability Strategy Monitoring 168

Dynatrace

JANUARY 11, 2023

With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 295

Cloud Monitoring Best Practices Infrastructure 295

Dynatrace

MARCH 22, 2021

While today’s IT world continues the shift toward treating everything as a service, many organizations need to keep their environments under strict control while managing their infrastructure themselves on-premises. The monitoring challenges of on-premises environments. Automatic observability for your SNMP-enabled devices.

Metrics 246

Metrics Network Infrastructure Traffic 246

The Netflix TechBlog

DECEMBER 19, 2024

you can define arbitrary parsers using a string means the parser doesnt even have to be present remotely! Imagine a ML practitioner on the Netflix Content ML team, sourcing features from hundreds of columns in our data warehouse, and creating a multitude of models against a growing suite of metrics.

Best Practices 200

Best Practices Cache Metrics Code 200

Dynatrace

FEBRUARY 13, 2020

Across both his day one and day two mainstage presentations, Steve Tack, SVP of Product Management, described some of the investments we’re making to continue to differentiate the Dynatrace Software Intelligence Platform. Next-gen Infrastructure Monitoring. Next up, Steve introduced enhancements to our infrastructure monitoring module.

Performance 278

Performance Mobile Analytics Innovation 278

Dynatrace

MAY 17, 2022

From a cost perspective, internal customers waste valuable time sending tickets to operations teams asking for metrics, logs, and traces to be enabled. A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments.

Availability 348

Availability Scalability Cloud Metrics 348

Dynatrace

MAY 24, 2024

We’re proud to announce that Ally Financial has presented Dynatrace with its Ally Technology Velocity with Quality award. This is the second time Ally Financial has presented its Ally Technology Partner Awards. Earlier this year, Dynatrace presented Ally Financial with its own award as our first Digital Breakout Performer.

Technology 264

Technology Technology Analytics Innovation 264

DZone

FEBRUARY 20, 2023

This is a recording of a breakout session from AWS Heroes at re:Invent 2022, presented by AWS Hero Zainab Maleki. This talk covers ways to leverage software engineering practices for data engineering and demonstrates how measuring key performance metrics could help build more robust and reliable data pipelines. Posted with permission.

Software Engineering 274

Software Engineering Engineering Software Software 274

Dynatrace

NOVEMBER 24, 2021

The success of an organization often depends on the quality of the on-premises or physical IT infrastructure, among other things. Constantly monitoring infrastructure health state and making ongoing optimizations are essential for Ops teams, SREs (site-reliability engineers), and IT admins. Dynatrace news.

Network 246

Network Infrastructure Virtualization Metrics 246

Dynatrace

JULY 11, 2024

The journey toward business observability Traditional IT monitoring that relies on a multitude of tools to collect, index, and correlate logs from IT infrastructure, networks, applications, and security systems is no longer effective at supporting the need of the wider organization for business insights. Operational optimization.

Monitoring 264

Monitoring Retail Energy Cloud 264

Dynatrace

MARCH 14, 2023

Available directly from the AWS Marketplace , Dynatrace provides full-stack observability and AI to help IT teams optimize the resiliency of their cloud applications from the user experience down to the underlying operating system, infrastructure, and services. How does Dynatrace help?

AWS 306

AWS Lambda Serverless Virtualization 306

Dynatrace

APRIL 6, 2022

Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Observability across the full technology stack gives teams comprehensive, real-time insight into the behavior, performance, and health of applications and their underlying infrastructure.

DevOps 303

DevOps Innovation Infrastructure Cloud 303

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Many technologies expose their metrics in the Prometheus data format. Many technologies expose their metrics in the Prometheus data format. Our monitoring coverage already includes ?

Technology 246

Technology Technology Metrics Infrastructure 246

Dynatrace

SEPTEMBER 3, 2024

Each of these factors can present unique challenges individually or in combination. But gaining observability of distributed environments, such as Kubernetes, microservices, and containerized application deployments, presents formidable challenges.

Infrastructure 290

Infrastructure Innovation Monitoring Software Performance 290

Dynatrace

NOVEMBER 30, 2022

Complexity and data volume for IT infrastructure soars to new heights. The volume of data and events grows in tandem with the rising complexity of IT infrastructure. Monitoring modern IT infrastructure is difficult, sometimes impossible, without advanced network monitoring tools. Device-centric SNMP Trap overview.

Network 246

Network Infrastructure Metrics Monitoring 246

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. But on their own, logs present just another data silo as IT professionals attempt to troubleshoot and remediate problems. Teams can also use logs to create custom metrics, providing a snapshot of data at a moment in time.

Analytics 264

Analytics Storage Infrastructure Metrics 264

Dynatrace

DECEMBER 13, 2023

Rexed, Singh, and Stull outline the importance of metrics, traces, logs, events, and the role they play in achieving full–context Kubernetes observability and driving automated responses in hybrid and multi-cloud environments. So many tools can result in data inconsistencies.

Google 264

Google Cloud Infrastructure Metrics 264

Scalegrid

FEBRUARY 6, 2025

By analyzing benchmark results, organizations can determine which system aligns best with their infrastructure needswhether its high-speed event processing or reliable message queuing for microservices. The choice between these authentication methods depends on an organizations security infrastructure.

Latency 147

Latency Analytics Architecture Storage 147

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 358

Open Source Java Operating System Programming 358

Dynatrace

NOVEMBER 6, 2023

Observability on edge devices presents unique challenges compared to traditional data-center or cloud-based environments. In this case, Davis finds that a Java Spring Micrometer metric called Failed deliveries is highly correlated with CPU spikes. At the same time, privacy and security have never been more critical.

Retail 306

Retail Storage Analytics Cloud 306

The Netflix TechBlog

FEBRUARY 13, 2023

Our goal in building a media-focused ML infrastructure is to reduce the time from ideation to productization for our media ML practitioners. We will then present a case study of using these components in order to optimize, scale, and solidify an existing pipeline.

Media 293

Media Storage Infrastructure Systems 293

Dynatrace

MAY 8, 2023

However, while open ecosystems offer benefits such as increased flexibility, faster development, and improved collaboration, they also present new observability challenges. These logs and metrics are distinct from the logs, metrics, and traces of individual components. Fortunately, open source software can help with this.

Open Source 246

Open Source Strategy Lambda Metrics 246

Dynatrace

AUGUST 21, 2024

This approach enhances key DORA metrics and enables early detection of failures in the release process, allowing SREs more time for innovation. This blog post explores the Reliability metric , which measures modern operational practices. While it is powerful, it presents several challenges that affect its adoption.

Engineering 262

Engineering Systems Latency Metrics 262

Dynatrace

FEBRUARY 25, 2021

At AWS re:Invent in 2018, the Lambda team presented an excellent talk. Distributing accounts across the infrastructure is an architectural decision, as a given account often has similar usage patterns, languages, and sizes for their Lambda functions. A look under the hood of AWS Lambda. file uploaded to AWS Lambda.

Lambda 278

Lambda AWS Monitoring Serverless 278

Dynatrace

APRIL 25, 2023

These functions are executed by a serverless platform or provider (such as AWS Lambda, Azure Functions or Google Cloud Functions) that manages the underlying infrastructure, scaling and billing. Enable faster development and deployment cycles by abstracting away the infrastructure complexity.

Serverless 246

Serverless Lambda Azure AWS 246

Dynatrace

JANUARY 31, 2024

While off-the-shelf models assist many organizations in initiating their journeys with generative AI (GenAI), scaling AI for enterprise use presents formidable challenges. It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security.

Cache 276

Cache Azure Infrastructure Monitoring 276

Dynatrace

JANUARY 31, 2024

Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. SAP HANA server infrastructure monitored with OneAgent.

Java 246

Java Analytics Best Practices Monitoring 246

Dynatrace

DECEMBER 24, 2020

An approach based on observability , automation, and AI, on the other hand, enables you to know precisely what is happening within your environment based on contextualized insights derived from billions of interdependencies among apps, services, and infrastructure. Myth 1 – Enterprise-scale observability is too difficult to accomplish.

DevOps 279

DevOps Cloud Infrastructure Monitoring 279

Dynatrace

JULY 25, 2022

A full list of metrics can be found here and include dimensions such as the following: Packets. When it comes to logs and metrics, the Dynatrace platform provides direct access to the log content of all mission-critical processes. A feature that enables you to present log data in a filterable table that is easy to work with.

AWS 246

AWS Transportation Network Traffic 246

Dynatrace

JUNE 28, 2021

However, such observation periods come with a disadvantage: incidents can pile up and there is a delay between those incidents and the corresponding health metrics ultimately dropping low enough to trigger a warning. Most monitoring tools offer only a single SLO metric. Davis AI predicts if future SLO health is at risk.

Best Practices 237

Best Practices Metrics Mobile Engineering 237

Dynatrace

FEBRUARY 4, 2025

In this blog post, we explain how the unique combination of causal, predictive, and generative AIaugmented by the latest Davis AI advancementsis transforming how Dynatrace customers manage and optimize their IT infrastructure. Traditional forecasting engines typically depend on historical data, stored in metrics.

Retail 130

Retail Metrics Engineering Efficiency 130

Dynatrace

APRIL 15, 2022

As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. “We have a rich metric expression language. Dynatrace news.

Cloud 245

Cloud Infrastructure Innovation Monitoring 245

Dynatrace

FEBRUARY 12, 2024

The various presenters in this session aligned platform engineering use cases with the software development lifecycle. When releasing into production, Gardner said it’s important to think beyond performance metrics. He goes on to review the following newly launched capabilities from Dynatrace: Infrastructure & Operations app.

Engineering 246

Engineering Development Infrastructure Cloud 246

Dynatrace

DECEMBER 2, 2020

Such blind spots leave DevOps teams with so-called “watermelon dashboards:” all metrics read green for good system health, even as their systems deliver red for bad user experiences that generate customer complaints. These outcomes can damage an organization’s reputation and its bottom line. The case for observability.

DevOps 231

DevOps Monitoring Cloud Artificial Intelligence 231

Dynatrace

OCTOBER 4, 2024

A central element of platform engineering teams is a robust Internal Developer Platform (IDP), which encompasses a set of tools, services, and infrastructure that enables developers to build, test, and deploy software applications. Lastly, we’re working on a ready-made dashboard for the DORA metrics based on GitHub and ArgoCD metadata.

Software 278

Software Software Development Performance 278

Dynatrace

JULY 29, 2022

It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert. At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions.

Analytics 246

Analytics Storage Retail DevOps 246

Dynatrace

JULY 29, 2022

It’s also common for teams, as part of their log monitoring practice, to write business metrics to a log that can then be tracked on a dashboard or trigger an alert. At the same time, log analytics can present challenges as data volumes explode, particularly in traditional environments that lack end-to-end observability solutions.

Analytics 245

Analytics Storage Retail DevOps 245