Dynatrace

DECEMBER 21, 2023

A business process is a collection of related, usually structured tasks or steps, performed in sequence, that achieve a defined business goal. Tasks may be manual or automatic, and many business processes will include a combination of both. Make better decisions by providing managers with real-time data about the business.

Processing 226

Processing Monitoring Retail Analytics 226

Dynatrace

FEBRUARY 9, 2024

Recent platform enhancements in the latest Dynatrace, including business events powered by Grail™, make accessing the goldmine of business data flowing through your IT systems easier than ever. Business events can come from many sources, including OneAgent®, external business systems, RUM sessions, or log files.

Processing 202

Processing Monitoring Analytics Games 202

Dynatrace

SEPTEMBER 27, 2024

Unrealized optimization potential of business processes due to monitoring gaps Imagine a retail company facing gaps in its business process monitoring due to disparate data sources. Due to separated systems that handle different parts of the process, the view of the process is fragmented.

Processing 210

Processing Retail Analytics Monitoring 210

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. Teams can build on these SLO examples to improve application performance and reliability. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider. or 99.99% of the time.

Traffic 173

Traffic Website Latency Virtualization 173

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. These releases often assumed ideal conditions such as zero latency, infinite bandwidth, and no network loss, as highlighted in Peter Deutsch’s eight fallacies of distributed systems.

Engineering 203

Engineering Systems Latency Metrics 203

The Netflix TechBlog

SEPTEMBER 29, 2022

Timestone: Netflix’s High-Throughput, Low-Latency Priority Queueing System with Built-in Support for Non-Parallelizable Workloads by Kostas Christidis Introduction Timestone is a high-throughput, low-latency priority queueing system we built in-house to support the needs of Cosmos , our media encoding platform. Over the past 2.5

Latency 224

Latency Systems Media Serverless 224

Dynatrace

AUGUST 16, 2022

For example: Infrastructure services might provide data about request timings that can give you a precise overview of system health, but the data is logged in a custom format. For example, Dynatrace recently introduced the extraction of log-based metrics for JSON logs. FILTER_OUT(duration < 100).

Processing 201

Processing Metrics Monitoring Java 201

DZone

APRIL 21, 2023

Test tools are software or hardware designed to test a system or application. Some test tools are intended for developers during the development process, while others are designed for quality assurance teams or end users.

Testing Tools 196

Testing Tools Best Practices Testing Hardware 196

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. Log analytics, on the other hand, is the process of using the gathered logs to extract business or operational insight.

Cloud 195

Cloud Systems Analytics DevOps 195

DZone

OCTOBER 9, 2024

if you wanted to schedule a job, you could use the Cron binding component to implement recurring jobs on a regular defined schedule; for example, automating database backups, sending out recurring email notifications, running routine maintenance tasks, data processing, and ETL, running system updates and batch processing.

Scalability 318

Scalability Design Database Processing 318

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. When handling large amounts of complex data, or big data, chances are that your main machine might start getting crushed by all of the data it has to process in order to produce your analytics results. Query Optimization.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. Here is an example of the desired output when the user searches for “red race car” across the entire content library. Processing took several hours to complete.

Media 301

Media Innovation Energy Architecture 301

The Netflix TechBlog

MAY 4, 2023

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. This technique facilitates validation on multiple fronts.

Traffic 349

Traffic Latency Tuning Systems 349

High Scalability

JANUARY 11, 2022

The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. There are two major processes which gets executed when a user posts a photo on Instagram. Streaming Data Model. Optimization.

Design 334

Design Media Storage Logistics 334

The Netflix TechBlog

FEBRUARY 13, 2023

We accomplish this by paving the path to: Accessing and processing media data (e.g. To streamline this process, we standardized media assets with pre-processing steps that create and store dedicated quality-controlled derivatives with associated snapshotted metadata.

Media 299

Media Storage Infrastructure Systems 299

Dynatrace

JULY 19, 2024

Dynatrace does this by automatically creating a dependency map of your IT ecosystem, pinpointing the technologies in your stack and how they interact with each other, including servers, processes, application services, and web applications across data centers and multicloud environments. asc | fields `Host`, `Recently Restarted?

Airlines 306

Airlines Servers Retail Monitoring 306

The Netflix TechBlog

DECEMBER 23, 2020

By Fabio Kung , Sargun Dhillon , Andrew Spyker , Kyle , Rob Gulewich, Nabil Schear , Andrew Leung , Daniel Muino, and Manas Alekar As previously discussed on the Netflix Tech Blog, Titus is the Netflix container orchestration system. For example, the CAP_SYS_BOOT capability controls the ability of a given user to reboot the machine.

Media 297

Media Metrics Systems Processing 297

DZone

FEBRUARY 17, 2023

Each data point in a system that produces data on an ongoing basis corresponds to an Event. Event Stream Processing refers to the action taken on generated Events. Event Streams are described as a continuous flow of events or data points.

Processing 285

Processing Systems Development 285

Dynatrace

MAY 6, 2024

A tight integration between Red Hat Ansible Automation Platform, Dynatrace Davis ® AI, and the Dynatrace observability and security platform enables closed-loop remediation to automate the process from: Detecting a problem. With DQL, the workflow trigger to initiate a required automation and remediation process can be defined.

DevOps 295

DevOps Software Engineering Games Java 295

The Netflix TechBlog

DECEMBER 3, 2022

Thanks to the Netflix internal lineage system (built by Girish Lingappa ) Dataflow migration can then help you identify downstream usage of the table in question. And by “sample” we mean “an example”, like food samples in your local grocery store. " ) COMMENT "Example dataset brought to you by Dataflow.

Best Practices 362

Best Practices Code Testing Data Engineering 362

DZone

MAY 15, 2023

This architectural style enables teams to develop and deploy services independently, offering flexibility and scalability to the software development process. Let's take the example of an online marketplace application.

Best Practices 312

Best Practices Architecture Scalability Software 312

Dynatrace

APRIL 28, 2021

Furthermore, the same information (for example, which version is deployed to which environment) is also valuable in other scenarios: When new features are expected to roll out in specific environments, stakeholders need to be on the same page regarding progress of the deployment. Each entry represents a process group instance.

Software 243

Software Software Strategy Metrics 243

The Netflix TechBlog

JUNE 13, 2023

This is where large-scale system migrations come into play. Replay traffic testing gives us the initial foundation of validation, but as our migration process unfolds, we are met with the need for a carefully controlled migration process. Canaries and sticky canaries are valuable tools in the system migration process.

Traffic 287

Traffic Metrics Systems Strategy 287

Dynatrace

DECEMBER 12, 2024

The Federal Reserve Regulation HH in the United States focuses on operational resilience requirements for systemically important financial market utilities. Carefully planning and integrating new processes and tools is critical to ensuring compliance without disrupting daily operations.

Analytics 214

Analytics Government Efficiency Innovation 214

Dynatrace

JULY 22, 2024

Using OpenTelemetry, developers can collect and process telemetry data from applications, services, and systems. Observability Observability is the ability to determine a system’s health by analyzing the data it generates, such as logs, metrics, and traces. There are three main types of telemetry data: Metrics.

Latency 245

Latency Best Practices Metrics Open Source 245

The Netflix TechBlog

NOVEMBER 3, 2022

As the number of Titus users increased over the years, the load and pressure on the system increased substantially. We introduce a caching mechanism in the API gateway layer, allowing us to offload processing from singleton leader elected controllers without giving up strict data consistency and guarantees clients observe.

Cache 235

Cache Latency Traffic Systems 235

Dynatrace

MAY 19, 2022

Every organization’s goal is to keep its systems available and resilient to support business demands. However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Example 1: Architecture boundaries. They knew a different team supported each step in the process.

Automotive 279

Automotive Latency Architecture Azure 279

The Netflix TechBlog

JULY 22, 2024

An example can be found in the Maestro repository wiki. In the above example, run5 fails at 5AM, then later runs are queued but do not run. This is useful if a workflow is designed to always process the latest data, such as processing the latest snapshot of an entire table each time.

Strategy 260

Strategy Scalability Code Engineering 260

The Netflix TechBlog

DECEMBER 17, 2024

To achieve this, we are committed to building robust systems that deliver comprehensive observability, enabling us to take full accountability for every title on ourservice. Each title represents countless hours of effort and creativity, and our systems need to honor that uniqueness. Yet, these pages couldnt be more different.

Traffic 174

Traffic Scalability Strategy Monitoring 174

Dynatrace

AUGUST 10, 2023

But existing business intelligence (BI) tools often lack the broad context, ease of data access, and real-time insights needed to understand and improve customer experience and complex business processes. In both examples, we used Dynatrace OneAgent® deep payload inspection to capture business data in motion.

Database 236

Database Metrics Retail Analytics 236

Dynatrace

JANUARY 26, 2021

DevSecOps is a cross-team collaboration framework that integrates security into DevOps processes from the start rather than waiting to address security in a separate silo. DevOps has gained ground in recent years as a way to combine key operational principles with development cycles, recognizing that these two processes must coexist.

DevOps 281

DevOps Best Practices Open Source Tuning 281

Dynatrace

SEPTEMBER 23, 2021

Container security is the practice of applying security tools, processes, and policies to protect container-based workloads. However, to be secure, containers must be properly isolated from each other and from the host system itself. Network scanners that see systems from the “outside” perspective. Source code tests.

Open Source 261

Open Source Benchmarking Best Practices Network 261

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

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. What is AIOps, and how does it work?

Artificial Intelligence 298

Artificial Intelligence Cloud Innovation Strategy 298

The Netflix TechBlog

NOVEMBER 14, 2023

In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! We’ll discuss batch data processing, the limitations we faced, and how Psyberg emerged as a solution. Let’s dive in! What is late-arriving data? How does late-arriving data impact us?

Data Engineering 273

Data Engineering Engineering Processing Games 273

Dynatrace

AUGUST 21, 2024

The risk of impact from an existing known vulnerability also depends on whether certain processes are using the vulnerable parts of a software component. The Dynatrace third-party vulnerabilities solution provides key capabilities for detailed and continuous insights into vulnerable software components present in an IT system.

Java 242

Java Monitoring Open Source Software 242

The Netflix TechBlog

SEPTEMBER 24, 2021

By Xiaomei Liu , Rosanna Lee , Cyril Concolato Introduction Behind the scenes of the beloved Netflix streaming service and content, there are many technology innovations in media processing. Packaging has always been an important step in media processing. Uploading and downloading data always come with a penalty, namely latency.

Cloud 242

Cloud Media Storage Cache 242