Dynatrace

JULY 11, 2023

Scalability and cloud-native support: Dynatrace is designed to scale effortlessly in dynamic Kubernetes environments. It automates tasks such as provisioning and scaling Dynatrace monitoring components, updating configurations, and ensuring the health and availability of the monitoring infrastructure.

Architecture 178

Architecture Availability Infrastructure Monitoring 178

Percona

JUNE 22, 2023

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. This guide provides an overview of what high availability means, the components involved, how to measure high availability, and how to achieve it. How does high availability work?

Availability 114

Availability Database Open Source Hardware 114

High Scalability

FEBRUARY 17, 2021

An application example is a session store recording recent actions. Application example: photo tagging; add a tag is an update, but most operations are to read tags. Application example: user profile cache, where profiles are constructed elsewhere (e.g., Application example: user status updates; people want to read the latest.

Benchmarking 308

Benchmarking Latency C++ Database 308

Dynatrace

DECEMBER 9, 2020

Dynatrace HTTP monitors help you to ensure that your APIs are available and performing well from all locations around the world in compliance with your SLAs. HTTP monitors are the perfect tool for proactively monitoring API endpoints, API transactions (for example, CRUD scenarios), health-check endpoints, and your mobile back-end services.

Monitoring 246

Monitoring Mobile Availability Design 246

Scalegrid

MAY 2, 2019

When deploying in production, it’s highly recommended to setup in a MongoDB replica set configuration so your data is geographically distributed for high availability. servers.mongodirector.com:27017,SG-example-1.servers.mongodirector.com:27017,SG-example-2.servers.mongodirector.com:27017/admin?replicaSet=RS-example&ssl=true'

Testing 55

Testing Network Database Servers 55

The Netflix TechBlog

FEBRUARY 3, 2021

At Netflix we strongly prefer schema-first development because: The schema design is front and center of the developer experience. Although it might be marginally quicker to generate schema from the code, putting the time into designing your schema in a human readable, collaborative way is well worth the effort towards a better API.

Open Source 246

Open Source Java Architecture Metrics 246

The Netflix TechBlog

DECEMBER 3, 2022

And by “sample” we mean “an example”, like food samples in your local grocery store. The example business logic we use in our template computes the top hundred movies/shows in every country where Netflix operates on a daily basis. " ) COMMENT "Example dataset brought to you by Dataflow. test_sparksql_write.py

Best Practices 362

Best Practices Code Testing Data Engineering 362

The Netflix TechBlog

MARCH 14, 2023

An example of using Machine Learning to find shots of Eleven in Stranger Things and surfacing the results in studio application for the consumption of Netflix video editors. We must quickly surface the most stand-out highlights from the titles available on our service in the form of images and videos in the member experience.

Media 301

Media Innovation Energy Architecture 301

Dynatrace

MAY 24, 2023

Microsoft initially designed the OS for internal use to develop and manage Azure services. Today, it’s a generally available container host for AKS and AKS-HCI. Microsoft designed the kernel and other aspects of the OS with an emphasis on security due to its focused role in executing container workloads.

Azure 236

Azure Monitoring Operating System Virtualization 236

DZone

DECEMBER 28, 2020

For example, the gaming app has to present definite actions to bring the right experience. Performance testing does not essentially display imperfections with an app, yet it needs to ensure that the app function as expected despite the bandwidth availability, network fluctuations, or traffic overload.

Performance Testing 230

Performance Testing Testing Tools Testing Performance 230

Dynatrace

OCTOBER 16, 2023

Also called continuous monitoring or synthetic monitoring , synthetic testing mimics actual users’ behaviors to help companies identify and remediate potential availability and performance issues. Types of synthetic testing There are three broad types of synthetic testing: availability, web performance, and transaction.

Testing 221

Testing Best Practices Testing Tools Monitoring 221

DZone

OCTOBER 28, 2024

We have seen multiple examples and use cases of building a low code API using Kumologica and running it on AWS lambda and on Azure function. Photo by Chris Linnett Architecture Based on the design defined in the diagram (Figure 1), we will be building Kumologica applications as a Docker container. ECR holds all the Docker images.

AWS 247

AWS Lambda Azure Architecture 247

Dynatrace

AUGUST 24, 2020

But there are other related components and processes (for example, cloud provider infrastructure) that can cause problems in applications running on Kubernetes. And because Dynatrace can consume CloudWatch metrics, almost all your AWS usage information is available to you within Dynatrace. Dynatrace OneAgent documentation .

Analytics 253

Analytics Infrastructure AWS Operating System 253

Dynatrace

OCTOBER 6, 2023

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. For example, a separate bucket could be used for detailed logs from Dynatrace Synthetic nodes.

Artificial Intelligence 270

Artificial Intelligence Metrics Analytics Storage 270

Percona

JUNE 12, 2023

When it comes to access to their applications, users demand instant, reliable, and secure interactions — and that means databases must be highly available. With database high availability (HA), services are largely uninterrupted, and end users are largely satisfied. The obvious answer is this: To achieve high availability.

Architecture 103

Architecture Availability Open Source Healthcare 103

The Netflix TechBlog

OCTOBER 23, 2019

Feature Overview Reproducibility Polynote promotes notebook reproducibility by design. for example, researchers might use Scala and Spark to generate training data (cleaning, subsampling, etc), while actual training might be done with popular Python ML libraries like tensorflow or scikit-learn.

Open Source 235

Open Source Code Website Availability 235

Dynatrace

AUGUST 2, 2021

For example, you might transform the count-based metric “form submissions” into a rate to report form submissions per hour. Metric calculations help you design custom dashboards that meet the requirements of specific teams. Examples of metric calculations. The Code tab displays the resulting query.

Metrics 246

Metrics Analytics Google Code 246

Dynatrace

MARCH 18, 2024

For example, Amazon Web Services (AWS) charges for data transfer between Amazon EC2 instances within the same region. Flexible pricing models that offer discounts based on commitment or availability can greatly reduce cloud waste. This includes spot instances such as unused cloud capacity that’s available at a discounted price.

Best Practices 245

Best Practices Strategy Cloud AWS 245

The Netflix TechBlog

SEPTEMBER 28, 2021

The Revenue and Growth Tools (RGT) team decided to set off on a journey to build tools in an abstract manner to have solutions readily available within our organization. We identified common design patterns and architectures scattered across various tools which were all duplicating efforts in some way or another.

Best Practices 244

Best Practices Design Development Processing 244

Dynatrace

MAY 20, 2020

The Metrics API v2 is the first v2 API available in Dynatrace. Dynatrace Keptn , for example, uses the new Metrics API v2 to monitor the outcomes of application deployment. While in the deprecation phase, they’ll still be available and function but won’t receive additional updates or features. GET /metrics.

Metrics 236

Metrics Operating System Tuning Availability 236

The Netflix TechBlog

FEBRUARY 18, 2022

For example, a member-triggered event such as “ change in a profile’s maturity level” should have a much higher priority than a “ system diagnostic signal”. For example, entirely relying on a Pull model wherein the device frequently calls home for updates would result in chatty mobile apps.

Systems 334

Systems Traffic Architecture Mobile 334

Percona

FEBRUARY 24, 2023

So, you have dozens of teams with hundreds of engineers who are responsible for ensuring high availability and reliability, including employing fault-tolerant systems, and implementing rigorous testing and monitoring procedures. What options regarding access control are currently available in PMM? to monitor and diagnose. +50

Metrics 112

Metrics Monitoring Database Engineering 112

The Netflix TechBlog

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction.

Latency 253

Latency Cache Infrastructure Strategy 253

Dynatrace

AUGUST 27, 2020

Dynatrace’s ability to ingest metrics from all 95 AWS services will be available within the next 60 days. Those in the left column are readily available now, with those in the right available soon. Available Now. We’ve selected two example services: Amazon Sagemaker and Amazon Neptune ,, for this purpose.

AWS 275

AWS Cloud IoT Database 275

The Netflix TechBlog

DECEMBER 3, 2019

By design, Metaflow is a deceptively simple Python library: Data scientists can structure their workflow as a Directed Acyclic Graph of steps, as depicted above. In this hypothetical example, the flow trains two versions of a model in parallel and chooses the one with the highest score. It leverages elasticity of the cloud by design?—?both

Open Source 239

Open Source AWS Infrastructure Energy 239

The Netflix TechBlog

MAY 1, 2019

For example, have you ever seen a TV show where the video and audio were a little out of sync? Adaptive streaming is a technology designed to deliver media to the user in the most optimal way for their network connection. The top graph shows both the audio and video bitrate, along with the available network throughput.

Engineering 274

Engineering Network Media Entertainment 274

Dynatrace

JUNE 4, 2024

For example, the team must establish specific thresholds for desired service performance behavior. Fast feedback cycles on model improvements While the Site Reliability Guardian was originally designed to validate new software releases, Dynatrace has internally extended its application area to include validation of models for Davis AI.

Metrics 244

Metrics Engineering Code Tuning 244

The Netflix TechBlog

JANUARY 25, 2023

For example, we have a service that stores a movie entity’s metadata or a service that stores metadata about images. In Pic 1 below, we have an example of an application which is used by editors to review their work. All data should be also available for offline analytics in Hive/Iceberg. Annotations can be versioned.

Scalability 293

Scalability Latency Media Architecture 293

Dynatrace

APRIL 28, 2023

Optimize cost and availability while staying compliant Observability data like logs and metrics provide automated answers, root cause detection, and security issues. This means compromising between keeping data available as long as possible for analysis while juggling the costs and overhead of storage, archiving, and retrieval.

Analytics 225

Analytics Storage Infrastructure Metrics 225

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 259

AWS Efficiency Azure Cloud 259

The Netflix TechBlog

JULY 22, 2024

What is Maestro Maestro is a general-purpose, horizontally scalable workflow orchestrator designed to manage large-scale workflows such as data pipelines and machine learning model training pipelines. The transition was seamless, and Maestro has met our design goals by handling our ever-growing workloads. increase in executed jobs.

Strategy 260

Strategy Scalability Code Engineering 260

Dynatrace

NOVEMBER 3, 2020

We deliberately chose an API-first approach in designing our own new web UI for the Problems list view to ensure that external integrations receive the same level of expressiveness through the public REST API. See the example request below for querying the first page: [link].

Metrics 246

Metrics Monitoring Efficiency Availability 246

The Netflix TechBlog

MARCH 7, 2024

Since its inception , Metaflow has been designed to provide a human-friendly API for building data and ML (and today AI) applications and deploying them in our production infrastructure frictionlessly. Example use case: Building model explainers Here’s a fascinating example of the usefulness of portable execution environments.

Systems 238

Systems Media Cache Open Source 238

High Scalability

AUGUST 27, 2018

We designed Auth0 from the beginning so that it could run anywhere: on our cloud, on your cloud, or even on your own private infrastructure. com and the strategies we use to keep it up and running with high availability. com and the strategies we use to keep it up and running with high availability.

Architecture 244

Architecture Cloud Traffic Infrastructure 244

Dynatrace

JANUARY 31, 2024

Designed to reach beyond petabyte (PB) scale, OpenPipeline will—at its launch— quintuple the ingest throughput from 100 TB a day per tenant to 500 TB a day per tenant. OpenPipeline extracts data with context and transforms it into more efficient formats, for example, logs to metrics. Commitment to privacy.

Analytics 203

Analytics Processing Transportation Storage 203

Dynatrace

MARCH 22, 2021

To keep infrastructure and bare metal servers running smoothly, a long list of additional devices are used, such as UPS devices, rack cases that provide their own cooling, power sources, and other measures that are designed to prevent failures. Some SNMP-enabled devices are designed to report events on their own with so-called SNMP traps.

Metrics 246

Metrics Network Infrastructure Traffic 246

Dynatrace

JUNE 20, 2023

And while the ecosystem is continuously growing, there will be situations where you need to connect a bespoke system, implement an edge case that is yet to be made available, or you want to cover complex customer business logic to address your requirements. AutomationEngine workflow example for a bespoke ordering system. What’s next?

DevOps 230

DevOps Monitoring AWS Code 230