Dynatrace

MARCH 12, 2024

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. Most business processes are not monitored. First and foremost, it’s a data problem.

Processing 279

Processing Monitoring Analytics C++ 279

Dynatrace

FEBRUARY 20, 2025

Adding Dynatrace runtime context to security findings allows smarter prioritization, helps reduce the noise from alerts, and focuses your DevSecOps teams on efficiently remedying the critical issues affecting your production environments and applications.

AWS 195

AWS Efficiency Infrastructure Cloud 195

Dynatrace

JANUARY 21, 2025

Ensuring smooth operations is no small feat, whether you’re in charge of application performance, IT infrastructure, or business processes. Static Threshold: This approach defines a fixed threshold suitable for well-known processes or when specific threshold values are critical.

Traffic 262

Traffic Metrics Analytics Monitoring 262

Dynatrace

JANUARY 22, 2025

That’s where Dynatrace business events and automation workflows come into play to provide a comprehensive view of your CI/CD pipelines. By integrating Dynatrace with GitHub Actions, you can proactively monitor for potential issues or slowdowns in the deployment processes.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

Scalegrid

FEBRUARY 6, 2025

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. What is RabbitMQ? What is Apache Kafka?

Latency 147

Latency Analytics Architecture Storage 147

The Netflix TechBlog

AUGUST 1, 2022

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

Processing 273

Processing Transportation Entertainment Tuning 273

Dynatrace

NOVEMBER 27, 2024

Costs and their origin are transparent, and teams are fully accountable for the efficient usage of cloud resources. Our comprehensive suite of tools ensures that you can extract maximum value from your billing data, efficiently turning insights into action. Figure 4: Set up an anomaly detector for peak cost events.

Strategy 246

Strategy Best Practices Cloud Efficiency 246

Dynatrace

SEPTEMBER 8, 2023

There are three high-level steps to set up the database business-event stream. Step-by-step: Set up a custom MySQL database extension Now we’ll show you step-by-step how to create a custom MySQL database extension for querying and pushing business data to the Dynatrace business events endpoint. Don’t rename the file.

Database 290

Database Artificial Intelligence Metrics Monitoring 290

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 246

Processing Monitoring Analytics Games 246

Dynatrace

FEBRUARY 10, 2023

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. Check out the guide from last year’s event. These are just some of the topics being showcased at Perform 2023 in Las Vegas.

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

OCTOBER 23, 2024

Consolidate real-user monitoring, synthetic monitoring, session replay, observability, and business process analytics tools into a unified platform. Real-time customer experience remediation identifies and informs the organization about any issues and prevents them in the experience process sooner.

Analytics 286

Analytics Logistics IoT Mobile 286

The Netflix TechBlog

MARCH 28, 2025

The impetus for constructing a foundational recommendation model is based on the paradigm shift in natural language processing (NLP) to large language models (LLMs). These insights have shaped the design of our foundation model, enabling a transition from maintaining numerous small, specialized models to building a scalable, efficient system.

Tuning 163

Tuning Efficiency Latency Strategy 163

Dynatrace

NOVEMBER 11, 2022

Getting the information and processes in place to ensure alerts like this example can be organizationally difficult. However, Dynatrace can often miss crucial pieces of the puzzle because humans haven’t told it about whole processes occurring on the “human” side of the environment. Offline processes.

DevOps 245

DevOps C++ Serverless Processing 245

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

Processing 234

Processing Data Engineering Efficiency Analytics 234

Dynatrace

JANUARY 15, 2025

Here’s how Dynatrace can help automate up to 80% of technical tasks required to manage compliance and resilience: Understand the complexity of IT systems in real time Proactively prevent, prioritize, and efficiently manage performance and security incidents Automate manual and routine tasks to increase your productivity 1.

Systems 264

Systems DevOps Analytics Monitoring 264

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. They need event-driven automation that not only responds to events and triggers but also analyzes and interprets the context to deliver precise and proactive actions.

DevOps 246

DevOps Traffic Efficiency Servers 246

Dynatrace

JANUARY 26, 2021

Unlike a traditional virtual machine-model where customers must build and manage an entire VM, serverless computing provides the ability to purchase only the CPU cycles and memory needed to support an application using an event-based pay-per-use model. The Serverless Process. Services scale to meet demand.

Serverless 246

Serverless Efficiency Lambda AWS 246

DZone

NOVEMBER 7, 2023

Among the spectrum of methodologies available for this task, batch processing is often considered an old guard, especially with the advent of real-time and event-based processing technologies. However, it would be a mistake to dismiss batch processing as an antiquated approach.

Processing 189

Processing Architecture Technology Technology 189

Dynatrace

OCTOBER 23, 2023

This leads to a more efficient and streamlined experience for users. Lastly, monitoring and maintaining system health within a virtual environment, which includes efficient troubleshooting and issue resolution, can pose a significant challenge for IT teams.

Efficiency 264

Efficiency Virtualization Hardware Performance 264

Dynatrace

JANUARY 31, 2024

Organizations choose data-driven approaches to maximize the value of their data, achieve better business outcomes, and realize cost savings by improving their products, services, and processes. Data is then dynamically routed into pipelines for further processing. Understanding the context. Addressing security requirements.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

MARCH 25, 2025

The Dynatrace solution Dynatrace addresses these issues by providing unified security event ingest and analysis for security findings across tools and products. Harbor vulnerability findings and audit logs are fetched periodically and pushed to Dynatrace via a dedicated security event ingest endpoint.

Internet 147

Internet Internet Efficiency Monitoring 147

Dynatrace

OCTOBER 16, 2024

Kickstarting the dashboard creation process is, however, just one advantage of ready-made dashboards. This efficient method allows you to easily browse and identify the appropriate metrics; adding them to your notebooks and dashboards requires just a single click.

Social Media 263

Social Media Metrics Network Analytics 263

Scalegrid

FEBRUARY 24, 2025

This guide will cover how to distribute workloads across multiple nodes, set up efficient clustering, and implement robust load-balancing techniques. Proper setup involves creating a configuration process that accounts for hostname changes, which could prevent nodes from rejoining the cluster.

Best Practices 147

Best Practices Traffic Strategy Scalability 147

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 219

Processing Big Data Efficiency Engineering 219

The Netflix TechBlog

DECEMBER 17, 2024

As Netflix expanded globally and the volume of title launches skyrocketed, the operational challenges of maintaining this manual process became undeniable. This led to a suite of fragmented scripts, runbooks, and ad hoc solutions scattered across teamsan approach that was neither sustainable nor efficient.

Traffic 172

Traffic Scalability Strategy Monitoring 172

DZone

AUGUST 10, 2023

Many modern applications have a batch processing aspect to them and regularly run high-volume, repetitive data jobs. If you use the cloud and cloud-native technologies like Kubernetes, this area offers a great opportunity for cost optimization through approaches like event-driven autoscaling and spot instance automation.

Efficiency 130

Efficiency Processing Cloud Technology 130

The Netflix TechBlog

MARCH 4, 2025

In order to allow for this mimicking, many systems implement an event handling, where they convert our request into a call to the real service with properties enabled to log when titles are filtered out of their response and why. As a result, requests are uniformly handled, and responses are processed cohesively.

Traffic 172

Traffic Strategy Entertainment Innovation 172

Dynatrace

FEBRUARY 4, 2025

This approach improves operational efficiency and resilience, though its not without flaws. Additionally, predictions based on historical data are reactive, solely relying on past information to anticipate future events, and can’t prevent all new or emerging issues. These algorithms are not limited to monitoring IT environments.

Retail 130

Retail Metrics Engineering Efficiency 130

Dynatrace

OCTOBER 14, 2020

We want to share how Dynatrace helped us identify and fix memory leaks in one of the most central and critical components within Keptn: our event broker. We were in the process of developing a new feature and wanted to make sure it could handle the expected load behavior. It happened in June 2020. Houston, we have a problem!

Cloud 302

Cloud Development Open Source Monitoring 302

The Netflix TechBlog

SEPTEMBER 10, 2024

One issue that often complicates this process is the "noisy neighbor" problem. Continuous instrumentation is critical to catching such matters as they emerge, and eBPF, with its hooks into the Linux scheduler with minimal overhead, enabled us to monitor run queue latency efficiently.

Latency 262

Latency Metrics Programming Monitoring 262

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. Managing incidents in corresponding tools. Identifying the root cause and proper countermeasures.

DevOps 306

DevOps Software Engineering Games Infrastructure 306

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. Aggregation. Enhanced automation.

Artificial Intelligence 325

Artificial Intelligence Cloud Innovation Strategy 325

Dynatrace

SEPTEMBER 5, 2024

These developments open up new use cases, allowing Dynatrace customers to harness even more data for comprehensive AI-driven insights, faster troubleshooting, and improved operational efficiency. Customers have had a positive response to our native syslog implementation, noting its easy setup and efficiency.

Innovation 290

Innovation AWS Analytics Storage 290

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. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 305

AWS Efficiency Azure Cloud 305

The Netflix TechBlog

JANUARY 2, 2025

This causal inference design involves a systematic framework we designed to measure game events that relies on synthetic control ( blogpost ). Each format has a different production process and different patterns of cash spend, called our Content Forecast. A sizable portion of our Content Forecast is represented by TBDSlots.

Analytics 190

Analytics Engineering Games Entertainment 190

Dynatrace

OCTOBER 10, 2023

Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. The Dynatrace integration leverages native features and events that pass through the pipeline.

Engineering 264

Engineering DevOps Innovation Strategy 264

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 334

Airlines Servers Retail Monitoring 334