Dynatrace

NOVEMBER 16, 2021

Dynatrace has recently extended its Kubernetes operator by adding a new feature, the Prometheus OpenMetrics Ingest , which enables you to import Prometheus metrics in Dynatrace and build SLO and anomaly detection dashboards with Prometheus data. Here we’ll explore how to collect Prometheus metrics and what you can achieve with them.

Metrics 203

Metrics Infrastructure Open Source Database 203

Dynatrace

APRIL 7, 2022

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts. Micrometer uses a registry to export metrics to monitoring systems.

Metrics 130

Metrics Latency Java Cache 130

Dynatrace

APRIL 7, 2022

Micrometer is used for instrumenting both out-of-the-box and custom metrics from Spring Boot applications. Davis topology-aware anomaly detection and alerting for your Micrometer metrics. Topology-related custom metrics for seamless reports and alerts. Micrometer uses a registry to export metrics to monitoring systems.

Metrics 130

Metrics Latency Java Cache 130

The Netflix TechBlog

JUNE 15, 2022

By Alex Hutter , Falguni Jhaveri , and Senthil Sayeebaba In a previous post , we described the indexing architecture of Studio Search and how we scaled the architecture by building a config-driven self-service platform that allowed teams in Content Engineering to spin up search indices easily.

Engineering 183

Engineering Architecture Availability Tuning 183

Dynatrace

MAY 3, 2024

Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical. Amazon Data Firehose helps stream logs to the right destination But your SREs and DevOps engineers know CloudWatch is not the terminal destination for data but rather an intermediate station.

Cloud 205

Cloud Lambda AWS Analytics 205

Dynatrace

JUNE 3, 2022

At the heart of Dynatrace Digital Experience Monitoring (DEM) is Davis, the state-of-the-art AI engine that accurately prioritizes the severity of each detected performance anomaly in terms of its potential impact on real users and business KPIs. Leverage AI assistance to deliver better customer experience. How to get started.

Metrics 226

Metrics Mobile IoT Monitoring 226

Dynatrace

MARCH 23, 2020

Dynatrace industry-leading tracing, metrics, and log ingestion provide the level of high fidelity data that teams need to make accurate predictions about capacity. This is important because manual tracing is super costly and there is a lack of information available on this topic to assist developers.

Google 194

Google Engineering Metrics Hardware 194

Dynatrace

DECEMBER 28, 2020

Welcome back to the blog series where we provide you with deeper dives into the latest observability awesomeness from Dynatrace , demonstrating how we bring scale, zero configuration, automatic AI-driven alerting, and root cause analysis to all your custom metrics, including open source observability frameworks like StatsD, Telegraf, and Prometheus.

Metrics 150

Metrics Open Source Monitoring Engineering 150

Dynatrace

APRIL 21, 2021

Metrics that offer measurable, repeatable insight into the user experience from the moment they arrive on a website from a mobile or desktop device. Great user experiences start with Core Web Vitals (CWVs) — a set of metrics defined by Google to help measure user experience at scale. When do these metrics matter?

Metrics 134

Metrics Google Website Speed 134

Dynatrace

MAY 31, 2023

Keeping pace with modern digital transformation requires ensuring that applications are responsive, resilient, and always available amid increased complexity. As a result, site reliability has emerged as a critical success metric for many organizations. But the transition to SRE maturity is not always easy.

Best Practices 225

Best Practices DevOps Latency Metrics 225

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Flexible pricing models that offer discounts based on commitment or availability can greatly reduce cloud waste. Suboptimal architecture design.

Best Practices 235

Best Practices Strategy Cloud AWS 235

Dynatrace

JUNE 28, 2019

Dynatrace leverages high-fidelity data to fuel Davis, our AI-driven causation engine for automatic monitoring insights. Going forward, the new metrics framework will be at the core of everything that you can do with metrics in Dynatrace. Find metrics more quickly with metric categories.

Metrics 142

Metrics Monitoring Efficiency Availability 142

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 205

DevOps Metrics Engineering Analytics 205

Dynatrace

OCTOBER 14, 2019

But sometimes you might have a scenario where simple access to log file content is not enough—you need to create a metric for log entries that contain “Error,” for instance, or something more complex like “Error and not Warning.” In such cases, you need the ability to turn log data into custom metrics. That’s it, you’re done!

Metrics 118

Metrics Monitoring AWS Availability 118

Dynatrace

DECEMBER 4, 2023

“Engineers today lack an easy way to track the tokens and prompt usage of their LLM applications in production. Resource consumption: Observing computational resource availability and saturation, whether deployed in cloud-native environments like Kubernetes or CPU-enabled servers. Maintained under the Apache 2.0

Open Source 260

Open Source Latency Metrics Java 260

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. Predictive AI empowers site reliability engineers (SREs) and DevOps engineers to detect anomalies and irregular patterns in their systems long before they escalate into critical incidents. Capacity planning.

Artificial Intelligence 265

Artificial Intelligence DevOps Analytics Engineering 265

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 283

AWS Lambda Serverless Virtualization 283

CSS Wizardry

JUNE 30, 2023

I never thought I’d write an article in defence of DOMContentLoaded , but here it is… For many, many years now, performance engineers have been making a concerted effort to move away from technical metrics such as Load , and toward more user-facing, UX metrics such as Speed Index or Largest Contentful Paint. Or are they…?

Metrics 326

Metrics Google Monitoring Analytics 326

Dynatrace

MARCH 1, 2024

This capability extends across devices and geographies and includes critical front-end monitoring use cases like performance and availability monitoring, troubleshooting, root cause analysis, complaint resolution, and understanding user behavior. You can now proactively detect availability and performance issues across the stack.

Analytics 192

Analytics Monitoring Website Efficiency 192

Smashing Magazine

DECEMBER 17, 2020

Search Engine Optimization Checklist (PDF). Search Engine Optimization Checklist (PDF). Search engine optimization (SEO) is an essential part of a website’s design, and one all too often overlooked. A Smashing Guide To The World Of Search Engine Optimization. Prioritizing Metrics Online metrics are almost limitless.

Engineering 130

Engineering Google Website Analytics 130

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. With this announcement, Dynatrace brings the value of its AI engine, the scale, security, and automation of Dynatrace OneAgent and the scale of our platform (which can handle 50,000 hosts) to open source technologies so that you get the best of both worlds.

Open Source 256

Open Source Metrics Analytics Tuning 256

Dynatrace

MARCH 20, 2024

Infrastructure health The underlying infrastructure’s health directly impacts application availability and performance. Changes in application code or configurations can impact performance metrics, affecting user experience and application functionality.

Open Source 270

Open Source Hardware DevOps Infrastructure 270

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. Beyond SLAs, the emergence of machine learning technical debt poses an additional challenge for model observability.

Cache 206

Cache Azure Infrastructure Monitoring 206

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 217

Open Source Analytics Metrics Cloud 217

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! It opens doors to support more exciting use-cases.

Storage 288

Storage Cache Metrics Database 288

Dynatrace

DECEMBER 27, 2022

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. Reliability.

Software 266

Software Software Benchmarking Latency 266

DZone

MARCH 13, 2023

Site reliability engineering (SRE) is the practice of applying software engineering expertise to DevOps and operations problems. Service level objectives (SLOs) are the goals set for the availability expected out of a system.

Software Engineering 130

Software Engineering DevOps Google Engineering 130

Dynatrace

NOVEMBER 14, 2023

To bring these practices to life within an organization at scale, the discipline of platform engineering has gained popularity. From a high-level point of view, platform engineering aims to: Reduce the cognitive load on development teams. The new functionality has already been released and is available for your use.

Government 196

Government Best Practices DevOps Engineering 196

The Netflix TechBlog

MARCH 7, 2024

Without these integrations, projects would be stuck at the prototyping stage, or they would have to be maintained as outliers outside the systems maintained by our engineering teams, incurring unsustainable operational overhead. Importantly, all the use cases were engineered by practitioners themselves.

Systems 226

Systems Media Cache Open Source 226

Dynatrace

AUGUST 30, 2023

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. Here we asked Davis, the Dynatrace AI engine , to correlate CPU usage against other signals.

Google 222

Google Cloud Innovation Infrastructure 222

Dynatrace

APRIL 7, 2023

Now, customers can use streamed responses to build more responsive applications by sending partial responses to clients as the response becomes available. Dynatrace provides AWS Lambda metrics monitoring in under five minutes, showing the function CPU, memory, and network health metrics all the way through to the process level.

Lambda 218

Lambda AWS Serverless Latency 218

Dynatrace

AUGUST 8, 2022

the newly released mobile app available on Android and iOS , uses Davis AIOps to push alert notifications directly to your phone and significantly reduce the incident response times. Now every second matters for the Site Reliability Engineering Team as it affects Mean Time to Resolution (MTTR) metrics! Dynatrace 3.0,

Mobile 239

Mobile Infrastructure DevOps Monitoring 239

The Netflix TechBlog

OCTOBER 7, 2021

However, Netflix is available for streaming on thousands of types of devices and it is powered by hundreds of micro-services which are deployed independently, making it extremely challenging to comprehensively test internally. At Netflix, we have significant investments in ensuring new versions of our applications are well tested.

Metrics 197

Metrics Mobile Testing Strategy 197

Dynatrace

DECEMBER 9, 2020

However, if you’re an operations engineer who’s been tasked with migrating to HANA from a legacy database system, you’ll need to get up to speed quickly. Enable the Davis AI causation engine to automatically analyze every metric. Enable the Davis AI causation engine to automatically analyze every metric.

Infrastructure 203

Infrastructure Database Monitoring Metrics 203

DZone

AUGUST 4, 2022

Spark-Radiant will help optimize performance and cost considering catalyst optimizer rules, enhance auto-scaling in Spark, collect important metrics related to a Spark job, Bloom filter index in Spark, etc. Spark-Radiant is now available and ready to use. is available in Maven central. The dependency for Spark-Radiant 1.0.4

Performance 246

Performance Metrics Availability Big Data 246

Dynatrace

NOVEMBER 6, 2023

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Why is developer observability important for engineers? When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics.

Development 264

Development DevOps Programming Cloud 264

Dynatrace

FEBRUARY 1, 2024

But organizations must also be aware of the pitfalls of AI: security and compliance risks, biases, misinformation, and lack of insight into critical metrics (including availability, code development, infrastructure, databases, and more). After updating the query to ask for log data, the engineer was able to identify attack attempts.

Artificial Intelligence 188

Artificial Intelligence Analytics Efficiency Database 188