Dynatrace

NOVEMBER 23, 2020

As the application owner of an e-commerce application, for example, you can enrich the source code of your application with domain-specific knowledge by adding actionable semantics to collected performance or business metrics. New OpenTelemetry metrics exporters provide the broadest language support on the market.

Metrics 151

Metrics Open Source Tuning Analytics 151

Percona

SEPTEMBER 1, 2023

While there is no magic bullet for MySQL performance tuning, there are a few areas that can be focused on upfront that can dramatically improve the performance of your MySQL installation. What are the Benefits of MySQL Performance Tuning? A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52

Tuning Database Performance Hardware 52

Percona

FEBRUARY 24, 2023

To achieve this in a secure and efficient manner, a key requirement for any database monitoring and management software is to have robust access management features. Label-based access control is a security mechanism that allows companies to control who can access specific metrics based on their labels. to monitor and diagnose. +50

Metrics 104

Metrics Monitoring Database Engineering 104

Dynatrace

AUGUST 1, 2022

Famous examples include Redis , PostgreSQL , MySQL, and MongoDB. For example, let’s say you have an idea for a new social network and decide to use Kubernetes as your container management platform. Dynatrace’s PVCs extension enables you to make efficient use of your resources. Stay tuned. Coming Soon.

Storage 193

Storage Database Network Metrics 193

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 225

DevOps Traffic Efficiency Servers 225

The Netflix TechBlog

NOVEMBER 9, 2021

by Liwei Guo , Ashwin Kumar Gopi Valliammal , Raymond Tam , Chris Pham , Agata Opalach , Weibo Ni AV1 is the first high-efficiency video codec format with a royalty-free license from Alliance of Open Media (AOMedia), made possible by wide-ranging industry commitment of expertise and resources.

Media 246

Media Open Source Efficiency Software Engineering 246

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. The following example drives the point home.

Availability 322

Availability Scalability Cloud Metrics 322

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context.

Analytics 191

Analytics Innovation Metrics Database 191

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. ” A data warehouse, on the other hand, is an efficient and fast option for querying data.

Analytics 193

Analytics Infrastructure Storage Efficiency 193

The Netflix TechBlog

NOVEMBER 11, 2022

In semi-supervised anomaly detection models, only a set of benign examples are required for training. false-positive incidents), for example in the case of a buggy client or device. For the one-class as well as binary anomaly detection task, such metrics are accuracy, precision, recall, f0.5,

C++ 312

C++ Metrics Tuning Strategy 312

Dynatrace

APRIL 25, 2023

For example, to handle traffic spikes and pay only for what they use. Observability is typically achieved by collecting three types of data from a system, metrics, logs and traces. Understanding cold-start behavior is essential to tune your cloud applications cost or performance to meet your operational needs.

Serverless 213

Serverless Lambda Azure AWS 213

The Netflix TechBlog

NOVEMBER 14, 2023

The Setup: Automated end-to-end catchup Let’s go back to our customer lifecycle example. This approach ensures data processing is both efficient and accurate. Stay tuned for a new post on this! Debugging/figuring out what was loaded in every run is made easy with the help of workflow parameters and Psyberg Metadata.

Tuning 244

Tuning Processing C++ Efficiency 244

The Netflix TechBlog

JUNE 13, 2023

By collecting and analyzing key performance metrics of the service over time, we can assess the impact of the new changes and determine if they meet the availability, latency, and performance requirements. They enable us to further fine-tune and configure the system, ensuring the new changes are integrated smoothly and seamlessly.

Traffic 279

Traffic Metrics Systems Strategy 279

The Netflix TechBlog

NOVEMBER 6, 2023

For a (large) batch of N examples, we wish to maximize the embedding (cosine) similarity of the N correct image-text pairs, while minimizing the similarity of the other N²-N paired embeddings. The recent success of large-scale models that jointly train image and text embeddings has enabled new use cases around multimodal retrieval.

Media 225

Media Social Media Tuning Efficiency 225

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. DEM can give organizations business observability—insight into the effects of user experience on the bottom line. What is digital experience monitoring?

Monitoring 209

Monitoring Social Media IoT Metrics 209

The Netflix TechBlog

AUGUST 10, 2020

AV1 being a recent example. and thus fall back to less efficient encode families. Since then, we have applied innovations such as shot-based encoding and newer codecs to deploy more efficient encode families. Further tuning of pre-defined encoding parameters. 264/AVC Main profile family.

Innovation 239

Innovation Traffic Network Efficiency 239

Dynatrace

JUNE 8, 2021

You’ll learn how to create production SLOs, to continuously improve the performance of services, and I’ll guide you on how to become a champion of your sport by: Creating calculated metrics with the help of multidimensional analysis. Metric 2: number of requests in error. Let’s start by creating a dashboard to follow our metrics.

Metrics 170

Metrics Tuning Programming Systems 170

Dynatrace

NOVEMBER 15, 2021

Log files contain much of the data that makes a system observable: for example, records of all events that occur throughout the operating system, network devices, pieces of software, or even communication between users and application systems. Logs can include data about user inputs, system processes, and hardware states. More automation.

Analytics 214

Analytics Monitoring Artificial Intelligence DevOps 214

Dynatrace

JUNE 2, 2020

More cost-efficiency through the incorporation of consumption and usage data. The Dynatrace v2 Environment APIs such as the Metrics API v2 or the Monitored entites API v2 provide you with new capabilities and features, such as: RESTful, generic resources that you can use in a wide range of integration scenarios. Example: GET /metric?fields=+aggregationTypes,-description.

Metrics 186

Metrics Scalability Tuning Monitoring 186

The Netflix TechBlog

AUGUST 1, 2022

The catalog of available DB connectors is growing (CockroachDB, Cassandra for example) More Processing patterns such as filter, projection, union, join, etc. for example an enriched Movie entity with several dimensions (such as the list of Talents ) that further can be indexed to fulfill search use cases. Please stay tuned!

Processing 272

Processing Transportation Entertainment Tuning 272

Dynatrace

NOVEMBER 24, 2020

Below are a few examples within the five Well-Architected pillars for how Dynatrace empowers you: Dynatrace value within the AWS 5-pillars. Automatic collection of the entire set of services that publish metrics to Amazon CloudWatch. these metrics are also automatically analyzed by Dynatrace’s AI engine, Davis ). Stay tuned.

AWS 146

AWS Artificial Intelligence Best Practices Lambda 146

The Netflix TechBlog

NOVEMBER 20, 2023

We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing.

Processing 210

Processing Big Data Efficiency Engineering 210

Dynatrace

SEPTEMBER 28, 2020

Getting the problem status of all environments has to be efficient. Websockets allows efficient data push via multicast to browsers and D3.js Usage examples and lessons learned. This is where the consolidated API, which I presented in my last post , comes into play. Lightweight architecture. js framework.

Storage 211

Storage Architecture Tuning Efficiency 211

Scalegrid

JANUARY 11, 2024

Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

SEPTEMBER 29, 2021

A standard Docker container can run anywhere, on a personal computer (for example, PC, Mac, Linux), in the cloud, on local servers, and even on edge devices. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability.

Open Source 307

Open Source Traffic DevOps Cloud 307

The Netflix TechBlog

NOVEMBER 2, 2021

In particular, the VMAF metric lies at the core of improving the Netflix member’s streaming video quality. For example, when we design a new version of VMAF, we need to effectively roll it out throughout the entire Netflix catalog of movies and TV shows. All three requested quality metrics will be calculated for each chunk.

Media 171

Media Innovation Metrics Latency 171

Dynatrace

JANUARY 19, 2021

A single pane of glass to view trace information along with AWS CloudWatch metrics. Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. For example, Amazon Alexa extensions are implemented as AWS Lambda functions. for example,?how

Lambda 214

Lambda Serverless AWS Mobile 214

Dynatrace

JULY 21, 2020

These capabilities allow you to build efficient and robust business services on the mainframe. The topology example below illustrates how Dynatrace Smartscape automatically discovers and establishes dependencies for the web request services of WebSphere Liberty running on a z/OS host. Stay tuned! JDBC database connections.

Java 182

Java Government Database Programming 182

CSS Wizardry

NOVEMBER 3, 2020

So many false starts, tedious workflows, and a complete lack of efficiency really made it difficult for me to find momentum. For example, my site has a homepage, content pages (e.g. Any time you run a test with WebPageTest, you’ll get this table of different milestones and metrics. Visualising the Data.

Speed 292

Speed Ecommerce Metrics Analytics 292

Dynatrace

DECEMBER 9, 2020

Confidence for a safe release is provided by more validation of how the changes impact quality, for example, before deploying to production or with impact analysis during blue/green deployments. Which metrics are relevant for your business, anyway? Just measuring the uptime of a service tells you nothing about health or quality.

Metrics 154

Metrics Engineering Google Monitoring 154

The Netflix TechBlog

OCTOBER 18, 2019

For example, one set of experiments is focussed on personalizing our artwork assets to quickly select and leverage the “winning” images for a title we recommend to our members. The key insight was that by assuming a latent Gaussian Process (GP) prior on the key business metric actions like viral engagement, job applications, etc.,

Infrastructure 126

Infrastructure Metrics Architecture Efficiency 126

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

FEBRUARY 10, 2021

Broad-scale observability focused on using AI safely drives shorter release cycles, faster delivery, efficiency at scale, tighter collaboration, and higher service levels, resulting in seamless customer experiences. For example, side-by-side with the deployed versions, Dynatrace also shows related release information. What’s next.

Cloud 171

Cloud DevOps Speed Azure 171

Adrian Cockcroft

NOVEMBER 26, 2023

SUS101: Sustainability innovation in AWS Global Infrastructure AWS is determined to make the cloud the cleanest and most energy-efficient way to run customers’ infrastructure and business. This includes providing the efficient, resilient services AWS customers expect, while minimizing their environmental footprint.

AWS 52

AWS Energy IoT Best Practices 52

The Netflix TechBlog

JULY 26, 2021

With dependable near real-time data, Studio teams are able to track and react better to the ever-changing pace of productions and improve efficiency of global business operations using the most up-to-date information. See example below. Example: Filter Processor, Sink Processors Opt in to schema Evolution example 2.

Big Data 253

Big Data Government Analytics Processing 253

The Netflix TechBlog

OCTOBER 18, 2019

For example, one set of experiments is focussed on personalizing our artwork assets to quickly select and leverage the “winning” images for a title we recommend to our members. The key insight was that by assuming a latent Gaussian Process (GP) prior on the key business metric actions like viral engagement, job applications, etc.,

Infrastructure 100

Infrastructure Metrics Architecture Efficiency 100

The Netflix TechBlog

APRIL 29, 2019

Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud. One example is the Spectator Python client library, a library for instrumenting code to record dimensional time series metrics.

Open Source 279

Open Source Network Infrastructure Big Data 279