Dynatrace

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus.

Metrics 182

Metrics Engineering Energy Tuning 182

Dynatrace

NOVEMBER 11, 2022

While you’re waiting for the information to come back from the teams, Davis on-demand exploratory analysis can proactively find, gather, and automatically analyze any related metrics, helping get you closer to an answer. The problem report below shows Dynatrace correctly detecting a CPU saturation event on an Ubuntu node.

DevOps 186

DevOps C++ Serverless Processing 186

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 189

Systems Cloud Analytics DevOps 189

Dynatrace

OCTOBER 7, 2020

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics. Topology and non-topology metrics—what’s the difference?

Metrics 246

Metrics Analytics Storage Monitoring 246

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Logs, metrics, and traces make up the bulk of all telemetry data. To appreciate what OTel does, it helps to understand observability.

Open Source 224

Open Source Metrics Cloud Transportation 224

Dynatrace

JULY 23, 2020

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. In many cases, metric behavior changes over time.

Metrics 215

Metrics Innovation Strategy Monitoring 215

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. Learn more.

Google 266

Google Innovation Cloud Analytics 266

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

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 240

Monitoring Infrastructure Metrics Analytics 240

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

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 205

Government Analytics Benchmarking Storage 205

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 195

Processing Monitoring Analytics Games 195

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 221

Artificial Intelligence Analytics Network Metrics 221

The Netflix TechBlog

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late!

Storage 288

Storage Cache Metrics Database 288

Dynatrace

NOVEMBER 9, 2023

Get ready for Nutanix insights: Here’s how Dynatrace helps The extension comes with a comprehensive set of essential metrics that can quickly identify the root causes of performance issues, saving time and minimizing disruptions. With Dynatrace, Nutanix metrics can be leveraged for various use cases.

Virtualization 198

Virtualization Storage Metrics Monitoring 198

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 197

Best Practices DevOps Energy Innovation 197

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 184

DevOps Engineering Artificial Intelligence Infrastructure 184

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 339

Traffic Latency Tuning Systems 339

DZone

SEPTEMBER 16, 2020

It is monitoring software that integrates with a wide range of systems natively or through the use of plugins. Prometheus can collect metrics about your application and infrastructure. Metrics are small concise descriptions of an event: date, time, and a descriptive value.

Metrics 266

Metrics Open Source Monitoring Infrastructure 266

The Netflix TechBlog

NOVEMBER 14, 2023

Many metrics in Netflix’s financial reports are powered and reconciled with efforts from our team! 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. What is late-arriving data?

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

FEBRUARY 1, 2024

The complex interconnections in cloud-based systems make it crucial to always have a topological overview to understand dependencies. To overcome these complex issues, teams must quickly find root causes among numerous alerts and metrics. For the most granular metrics and network insights, OneAgent is the optimal choice.

Infrastructure 186

Infrastructure Metrics Network Monitoring 186

Dynatrace

NOVEMBER 1, 2022

DevOps and ITOps teams rely on incident management metrics such as mean time to repair (MTTR). These metrics help to keep a network system up and running?, Other such metrics include uptime, downtime, number of incidents, time between incidents, and time to respond to and resolve an issue. So, what is MTTR?

DevOps 212

DevOps Artificial Intelligence Metrics Network 212

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 212

Artificial Intelligence Healthcare Retail Government 212

Dynatrace

NOVEMBER 6, 2023

Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? The scale and the highly distributed systems result in enormous amounts of data. They also care about infrastructure: SREs require system visibility and incident management.

Development 267

Development DevOps Programming Cloud 267

Dynatrace

AUGUST 16, 2023

SLOs are specifically processed metrics that help businesses balance breakthroughs with reliability. SLOs are pivotal for development, DevOps, and SRE teams because they provide a common language for discussing system reliability. They help define how often and for how long services can afford to fail without severely impacting users.

Monitoring 190

Monitoring DevOps Metrics Innovation 190

Dynatrace

MARCH 14, 2023

Available directly from the AWS Marketplace , Dynatrace provides full-stack observability and AI to help IT teams optimize the resiliency of their cloud applications from the user experience down to the underlying operating system, infrastructure, and services. How does Dynatrace help?

AWS 286

AWS Lambda Serverless Virtualization 286

Dynatrace

SEPTEMBER 5, 2023

Additionally, monitoring allows for proactive maintenance and optimization, leading to improved system performance and user experience. With our extension framework, you can access the most relevant metrics and logs, gaining deeper insights into your database’s performance. This makes them ideal for managing structured data.

Database 206

Database Metrics Monitoring Servers 206

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. Storing frequently accessed data in faster storage, usually in-memory caching, improves data retrieval speed and overall system performance. Beyond

AWS 252

AWS Efficiency Azure Cloud 252

Dynatrace

MARCH 29, 2024

Others involve introducing new threats as AI becomes more integrated into IT systems as a whole. Predictive AI: A type of AI that analyzes patterns, trends, and data using statistical algorithms and other advanced machine learning techniques to anticipate future behavior in systems.

Artificial Intelligence 188

Artificial Intelligence DevOps Strategy Open Source 188

Dynatrace

MARCH 27, 2024

This is further exacerbated by the fact that a significant portion of their IT budgets are allocated to maintaining outdated legacy systems. By combining AI and observability, government agencies can create more intelligent and responsive systems that are better equipped to tackle the challenges of today and tomorrow.

Government 163

Government Network Artificial Intelligence Cloud 163

Dynatrace

JULY 11, 2023

Many global enterprises have instrumented their code to emit traces, metrics, and logs in a standardized and vendor-neutral way using OpenTelemetry. While ingestion of OpenTelemetry traces and metrics into Dynatrace is supported, companies often prefer to collect logs in the OpenTelemetry format.

Open Source 220

Open Source Analytics Metrics Cloud 220

The Netflix TechBlog

OCTOBER 7, 2021

As we invested in systems to enable this vision, it led to increased development velocity, which arguably led to better development practices and quality of the applications. Typically, teams time-shift one metric over the other to visually detect metric deviations, but time can still be a confounder.

Metrics 197

Metrics Mobile Testing Strategy 197

Dynatrace

MAY 21, 2023

As a result, teams are turning to technologies such as observability to understand events in their cloud environments. Without unifying these silos, teams miss critical context that can lead to blind spots or application problems—problems that compound when there’s a need to investigate security events.

Analytics 234

Analytics Metrics Cloud Systems 234

Dynatrace

JULY 25, 2022

A full list of metrics can be found here and include dimensions such as the following: Packets. When it comes to logs and metrics, the Dynatrace platform provides direct access to the log content of all mission-critical processes. Problems have defined lifespans and are updated in real time with all incoming events and findings.

AWS 223

AWS Transportation Network Traffic 223

The Netflix TechBlog

AUGUST 30, 2021

In the Device Management Platform, this is achieved by having device updates be event-sourced through the control plane to the cloud so that NTS will always have the most up-to-date information about the devices available for testing. The RAE is configured to be effectively a router that devices under test (DUTs) are connected to.

Latency 213

Latency Traffic Transportation Hardware 213

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Logs and events play an essential role in this mix; they include critical information which can’t be found anywhere else, like details on transactions, processes, users and environment changes.

Cloud 261

Cloud Azure Analytics Open Source 261

Dynatrace

APRIL 25, 2023

Observability is essential to ensure the reliability, security and quality of any software system. Serverless applications are composed of event-driven functions that run on demand in response to triggers from various sources, such as HTTP requests, messages, or timers. What are serverless applications?

Serverless 213

Serverless Lambda Azure AWS 213