Dynatrace

NOVEMBER 11, 2022

The problem report below shows Dynatrace correctly detecting a CPU saturation event on an Ubuntu node. You can dramatically and easily improve this problem report using the Dynatrace events API. The build system sends an automated notification to Dynatrace just before initiating a deployment on this VM. Click Generate Token.

DevOps 182

DevOps C++ Serverless Processing 182

Dynatrace

FEBRUARY 2, 2023

Observability fault lines The monitoring of complex and dynamic IT systems includes real-time analysis of baselines, trends, and anomalies. To close these critical gaps, Dynatrace has defined a new class of events called business events.

Analytics 202

Analytics Metrics DevOps Storage 202

Dynatrace

AUGUST 10, 2023

Dynatrace business events address these systemic problems, delivering real-time business observability to business and IT teams with the precision and context required to support data-driven decisions and improve business outcomes. Business data often lacks IT context, which prevents effective BizOps collaboration.

Database 130

Database Metrics Retail Analytics 130

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. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 186

Systems Cloud Analytics DevOps 186

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 212

Latency Systems Media Serverless 212

High Scalability

JUNE 15, 2020

What is the name of your system and where can we find out more about it? The system is the data pipeline at TripleLift. Over the last 3 years, the TripleLift data pipeline scaled from processing millions of events per day to processing billions. Why did you decide to build this system?

Processing 206

Processing Data Engineering Efficiency Engineering 206

Uber Engineering

SEPTEMBER 23, 2021

With this new ability came new challenges that needed to be solved at Uber, such as systems for ad auctions, bidding, attribution, reporting, and more. This article focuses on how we … The post Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot appeared first on Uber Engineering Blog.

Processing 145

Processing Engineering Systems Architecture 145

DZone

MARCH 11, 2024

The cybersecurity landscape is undergoing a significant shift, moving from security tools monitoring applications running within userspace to advanced, real-time approaches that monitor system activity directly and safely within the kernel by using eBPF.

Monitoring 236

Monitoring Open Source Systems Processing 236

Dynatrace

MAY 16, 2019

With this Dynatrace release, we’ve further improved the capabilities of your alerting profiles to allow you to define more fine-grained filtering options based on the event types within correlated problems. Custom event types include events that originate from plugins, APIs, or Log Analytics.

Analytics 116

Analytics Efficiency Availability Processing 116

The Netflix TechBlog

JUNE 1, 2023

In this blog post, we’ll discuss the methods we used to ensure a successful launch, including: How we tested the system Netflix technologies involved Best practices we developed Realistic Test Traffic Netflix traffic ebbs and flows throughout the day in a sinusoidal pattern. We used Elasticsearch dashboards to analyze results.

Traffic 342

Traffic Best Practices Systems Testing 342

DZone

FEBRUARY 29, 2024

In the world of cloud computing and event-driven applications, efficiency and flexibility are absolute necessities. A smooth flow of messages in an event-driven application is the key to its performance and efficiency. A critical component of such an application is message distribution.

Efficiency 258

Efficiency AWS Scalability Architecture 258

SQL Shack

OCTOBER 20, 2020

In this 33rd article of SQL Server Always On Availability Group series, we will use extended events to monitor the availability group. Introduction Database professionals’ primary role is to do proactive monitoring for ensuring system availability. You can use […].

Availability 107

Availability Monitoring Servers Database 107

The Netflix TechBlog

NOVEMBER 14, 2023

Late-arriving data is essentially delayed data due to system retries, network delays, batch processing schedules, system outages, delayed upstream workflows, or reconciliation in source systems. Using fixed lookback windows to always reprocess data, assuming that most late-arriving events will occur within that window.

Data Engineering 264

Data Engineering Engineering Processing Games 264

DZone

FEBRUARY 29, 2024

In the vibrant world of microservices and event-driven architectures, messaging queues have emerged as a critical component, enabling asynchronous communication, decoupling systems, and unlocking scalability. However, with a vibrant landscape of options, choosing the optimal queue can feel like navigating a complex maze.

Scalability 257

Scalability Architecture Systems Processing 257

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. Causal AI is a different approach that goes beyond event correlations to understand the underlying reasons for trends and patterns. That’s where causal AI can help. Causal AI is particularly effective in observability.

Government 200

Government Analytics Benchmarking Storage 200

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 190

Processing Monitoring Analytics Games 190

Dynatrace

JULY 24, 2023

Conventional data science approaches and analytics platforms can predict the correlation between an event and possible sources. But they often fall short when it comes to understanding why an event occurred. Causal AI draws on supporting data, such as relationships, dependencies, and other context among network entities and events.

Artificial Intelligence 216

Artificial Intelligence Analytics Network Metrics 216

InfoQ

FEBRUARY 1, 2024

Peter Lawrey discusses achieving vertical scalability by minimizing accidental complexity and using an event-driven architecture. By Peter Lawrey

Scalability 71

Scalability Efficiency Systems Architecture 71

SQL Performance

OCTOBER 17, 2019

My colleague, Erin Stellato, recently asked me a question about where and why event loss could happen with Extended Events. Event Size Matters. While most events generated by Extended Events are relatively lightweight and small in binary format, specific events can generate a much larger payload of data that has to be buffered.

Servers 40

Servers Systems Performance Availability 40

Dynatrace

AUGUST 27, 2019

In this alert, xMatters includes all the important incident information from Dynatrace, so there’s no need for you to visit additional system dashboards. Based on this contextual data, resources are prompted with their pre-configured response options, each of which kicks off a workflow across systems (based on the severity of the issue).

Systems 176

Systems Latency DevOps Azure 176

Dynatrace

DECEMBER 5, 2023

What constitutes a “material event” for application security? The mandate provides some room for interpretation on what should be considered a “material” cybersecurity event. Do material incidents on “third-party systems” require disclosure? Regulatory risks are also increasing.

Best Practices 252

Best Practices Government C++ Education 252

Dynatrace

AUGUST 28, 2023

Let’s shift our focus to the backend systems and business processes, the behind-the-scenes heroes of end-to-end customer experience. Solutions such as inventory management, order management, and delivery optimization can introduce new challenges: System integration. Technology to the rescue? Multi-channel logistics.

Retail 203

Retail Logistics Innovation Analytics 203

DZone

FEBRUARY 5, 2024

Logs can include a wide variety of data, including system events, transaction data, user activities, web browser logs, errors, and performance metrics. In today's cloud computing world, all types of logging data are extremely valuable.

Analytics 269

Analytics Innovation Strategy Efficiency 269

Dynatrace

JANUARY 22, 2024

While traditional AI relies on finding correlations in data, causal AI aims to determine the precise underlying mechanisms that drive events and outcomes. That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. However, correlation does not imply causation.

Artificial Intelligence 208

Artificial Intelligence Healthcare Retail Government 208

DZone

JULY 25, 2019

It’s not just your code that writes out log messages, every other piece of software does, from the operating system all the way up the stack. Believe it or not, we’ve all programmed logging into our code. After all, who hasn’t written a “Hello World” program? That does not mean that there is no room for a new startup to disrupt the market.

Programming 100

Programming DevOps Operating System Speed 100

The Netflix TechBlog

FEBRUARY 18, 2022

To this end, we developed a Rapid Event Notification System (RENO) to support use cases that require server initiated communication with devices in a scalable and extensible manner. In this blog post, we will give an overview of the Rapid Event Notification System at Netflix and share some of the learnings we gained along the way.

Systems 334

Systems Traffic Architecture Mobile 334

DZone

DECEMBER 1, 2023

As we delve into the intricacies of this digital proliferation, the optimization of Geo-Distributed IoT database systems takes center stage. Spatial information captures the physical location of devices, while temporal data sequences events in chronological order.

IoT 278

IoT Database Internet Internet 278

Dynatrace

MARCH 6, 2024

IBM i, formerly known as iSeries, is an operating system developed by IBM for its line of IBM i Power Systems servers. It is based on the IBM AS/400 system and is known for its reliability, scalability, and security features. Some tools demand the installation of agents on those systems and provide complex, disconnected views.

Monitoring 235

Monitoring Infrastructure Metrics Analytics 235

Dynatrace

MARCH 29, 2024

This year, Google’s event will take place from April 9 to 11 in Las Vegas. Visit Dynatrace booth #1141 during the event to explore how its real-time insights and optimization capabilities ensure seamless scalability and performance. Learn to boost system reliability through proactive issue detection.

Google 262

Google Innovation Cloud Analytics 262

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. However, this is highly unlikely.

Engineering 227

Engineering DevOps Innovation Strategy 227

DZone

OCTOBER 23, 2023

Reference data sources don’t always require ACID transaction capabilities, rather need support for fast read queries often based on simple data access patterns, and event-driven architecture to ensure the target systems remain up-to-date.

AWS 266

AWS Performance Database Architecture 266

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. For example, an observability solution can track and analyze usage data to help engineers understand how and when to scale resources based on system demand.

DevOps 180

DevOps Engineering Artificial Intelligence Infrastructure 180

Dynatrace

JANUARY 29, 2024

Closed loop” refers to the continuous feedback loop in which the system takes actions — based on monitoring and analysis — and verifies the results to ensure complete problem remediation. The goal is to either improve or restore the system to its optimally functioning state. Ideally, this all occurs without human intervention.

Best Practices 192

Best Practices DevOps Energy Innovation 192

O'Reilly Software

JUNE 12, 2018

The benefits of modeling data as events as a mechanism to evolve our software systems. Data is all-important—vital for the continued success of our businesses—but has also been seen as a massive constraint in how we design and evolve our systems. All too often, the software wasn’t designed in a way that made it easy to ship.

Database 72

Database Cache Architecture Latency 72

DZone

MARCH 9, 2023

If we want to test the configuration, we need to play log events in as if the system was really running, which means realistic logs at the right speed so we can make sure that our configuration prevents alerts or mail storms.

Monitoring 245

Monitoring Testing Open Source Speed 245

Dynatrace

AUGUST 18, 2022

Whether deployment of a new system, a new release, or a rolling patch update, I wanted it done consistently and successfully every time. Because of the quantity of “proper noun solutions” I experienced in my System Administrator career, I wasn’t previously aware of the full spectrum of capabilities in Dynatrace.

Games 293

Games Monitoring Infrastructure DevOps 293

DZone

JANUARY 31, 2024

SIEM stands for Security Information and Event Management. SIEM systems enable early detection of security threats and suspicious activities by analyzing vast amounts of log data in real time. Normalization: The collected logs are normalized into a common format, allowing for easier analysis and correlation of security events.

Storage 136

Storage Data Engineering Network Infrastructure 136