Dynatrace

OCTOBER 21, 2021

There’s no lack of metrics, logs, traces, or events when monitoring your Kubernetes (K8s) workloads. I was pulled into that troubleshooting call and started taking notes and screenshots so I can share how easy it is to troubleshoot the Kubernetes workload with our engineers and you – our readers – on this blog post. Dynatrace news.

Metrics 246

Metrics DevOps Engineering Strategy 246

Dynatrace

DECEMBER 18, 2023

To get a more granular look into telemetry data, many analysts rely on custom metrics using Prometheus. Named after the Greek god who brought fire down from Mount Olympus, Prometheus metrics have been transforming observability since the project’s inception in 2012.

Metrics 245

Metrics Engineering Energy Tuning 245

Dynatrace

MARCH 16, 2022

Now, Dynatrace has the ability to turn numerical values from logs into metrics, which unlocks AI-powered answers, context, and automation for your apps and infrastructure, at scale. Whatever your use case, when log data reflects changes in your infrastructure or business metrics, you need to extract the metrics and monitor them.

Metrics 246

Metrics Lambda Infrastructure Monitoring 246

Dynatrace

APRIL 8, 2022

All metrics, traces, and real user data are also surfaced in the context of specific events. With Dynatrace, you can create custom metrics based on user-defined log events. Also depicted is Dynatrace instrumentation of the pods that deliver metrics and trace data to the Dynatrace environment.

Metrics 245

Metrics Analytics Software Architecture Open Source 245

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. The data life cycle has multiple steps from start to finish.

Open Source 246

Open Source Metrics Cloud Transportation 246

Dynatrace

JULY 14, 2022

We also explore how to improve user experiences within the Zero Trust framework and how to develop security metrics that eliminate DevSecOps bottlenecks. Episode 40 – Security Metrics: Measure Twice, Cut Once with Rick Stewart. Security Metrics: Measure Twice, Cut Once with Rick Stewart. appeared first on Dynatrace blog.

Metrics 246

Metrics Social Media Government Media 246

Dynatrace

JUNE 3, 2022

The post Identify issues immediately with actionable metrics and context in Dynatrace Problem view appeared first on Dynatrace blog. To learn more about how Dynatrace can help optimize your user experiences across mobile, web, IoT, and APIs, visit Dynatrace Digital Experience Monitoring (DEM) or sign up for a 15-day free trial.

Metrics 246

Metrics Mobile IoT Monitoring 246

Dynatrace

NOVEMBER 26, 2019

Read on for links to blog posts that highlight the key benefits you get with our next-generation AI causation engine. These blog posts, published over the course of this year, span a huge feature set comprising Davis 2.0, detects suspicious metric behavior by analyzing the value distribution of metrics.

Engineering 69

Engineering Serverless Metrics Code 69

Dynatrace

FEBRUARY 19, 2021

Particularly during the COVID-19 pandemic, we’ve seen how poor application performance can impact business bottom lines and lead to lost revenue for many organizations, as laid out in our recent blog post about digital experience. with: Aggregated field metrics?rather?than?valuable?details Metrics and recommendations?rather

Google 306

Google Metrics Monitoring Network 306

Dynatrace

SEPTEMBER 28, 2021

Teams are using concepts from site reliability engineering to create SLO metrics that measure the impact to their customers and leverage error budgets to balance innovation and reliability. Nobl9 integrates with Dynatrace to gather SLI metrics for your infrastructure and applications using real-time monitoring or synthetics.

Metrics 356

Metrics Innovation Monitoring Software 356

The Netflix TechBlog

JUNE 14, 2023

This blog post will share broadly-applicable techniques (beyond GraphQL) we used to perform this migration. So, we relied on higher-level metrics-based testing: AB Testing and Sticky Canaries. To determine customer impact, we could compare various metrics such as error rates, latencies, and time to render.

Traffic 355

Traffic Latency Metrics Cache 355

Dynatrace

MARCH 29, 2024

Check out the following related resources to learn more: Enhancing Duet AI for Developers through our partner ecosystem – Google blog Learn more about the powerful synergy that revolutionizes the cloud landscape when integrating Dynatrace observability with Vertex and Duet AI. Learn more.

Google 290

Google Innovation Cloud Analytics 290

Dynatrace

OCTOBER 10, 2024

Imagine you’re using a lot of OpenTelemetry and Prometheus metrics on a crucial platform. In this blog, we will focus on histograms and why to use them. A histogram is a specific type of metric that allows users to understand the distribution of data points over a period of time. What are histograms, and why use them?

Metrics 240

Metrics Monitoring Efficiency Availability 240

Dynatrace

SEPTEMBER 4, 2020

In this blog, I want to dig a bit into a core capability of Keptn which is used across all use cases: SLI/SLO-based Evaluations for Quality Gates as well as Auto-Remediation. While an SLI is just a metric, an SLO just a threshold you expect your SLI to be in and SLA is just the business contract on top of an SLO.

DevOps 326

DevOps Metrics Innovation Azure 326

Dynatrace

OCTOBER 16, 2024

In this blog post, we look at these enhancements, exploring methods for monitoring your Kubernetes environment and showcasing how modern dashboards can transform your data. Next, let’s use the Kubernetes app to investigate more metrics.

Social Media 263

Social Media Metrics Network Analytics 263

Dynatrace

MARCH 5, 2021

For example, you might be using: any of the 60+ StatsD compliant client libraries to send metrics from various programming languages directly to Dynatrace; any of the 200+ Telegraf plugins to gather metrics from different areas of your environment; Prometheus, as the dominant metric provider and sink in your Kubernetes space.

Metrics 286

Metrics Network Monitoring Infrastructure 286

The Netflix TechBlog

MAY 4, 2023

This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal. The second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels.

Traffic 343

Traffic Latency Tuning Systems 343

DZone

AUGUST 29, 2021

In this blog post, we’ll examine one such case where we use the Sentry JavaScript SDK to instrument Jest (which runs our frontend test suite) and how we addressed the issues that we found. We have high-level metrics for how well (or not) our CI is performing.

Testing 335

Testing Performance Testing Metrics Systems 335

Dynatrace

AUGUST 21, 2024

The previous blog post in this series discussed the benefits of implementing early observability and orchestration of the CI/CD pipeline using Dynatrace. This approach enhances key DORA metrics and enables early detection of failures in the release process, allowing SREs more time for innovation. Why reliability?

Engineering 262

Engineering Systems Latency Metrics 262

Dynatrace

OCTOBER 2, 2024

Davis AI contextually aligns all relevant data points—such as logs, traces, and metrics—enabling teams to act quickly and accurately while still providing power users with the flexibility and depth they desire and need. This is explained in detail in our blog post, Unlock log analytics: Seamless insights without writing queries.

Analytics 304

Analytics AWS DevOps Cloud 304

Dynatrace

JUNE 4, 2024

How we define auto-adaptive thresholds at Dynatrace This blog post explores how Dynatrace leveraged the Site Reliability Guardian to establish a fast feedback loop for Davis AI model improvements. Our data scientists utilize metrics and events to store these quality metrics.

Metrics 297

Metrics Engineering Code Tuning 297

The Netflix TechBlog

JUNE 13, 2023

Our previous blog post presented replay traffic testing — a crucial instrument in our toolkit that allows us to implement these transformations with precision and reliability. This blog post will delve into the techniques leveraged at Netflix to introduce these changes to production.

Traffic 282

Traffic Metrics Systems Strategy 282

Dynatrace

NOVEMBER 15, 2021

The ops team understood the concept of business metrics like NPS, conversions rates, even call center volume—but believed these KPIs were meant for other teams. Similarly, IT’s solid SLOs and Apdex scores—important metrics agreed upon by the app owner and IT—were met with a lack of enthusiasm by the business team.

FinTech 299

FinTech Metrics Website Monitoring 299

Dynatrace

NOVEMBER 3, 2021

Monitoring focuses on watching specific metrics. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. For example, we can actively watch a single metric for changes that indicate a problem — this is monitoring.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

Dynatrace

OCTOBER 29, 2024

In a recent blog post, we announced and demonstrated how the new Distributed Tracing app provides effortless trace insights. Conclusion In this blog post, we explored how the Distributed Tracing app can be harnessed to visualize data ingested from the OpenTelemetry collector to get an overview of application health.

Metrics 246

Metrics Tuning Monitoring Availability 246

The Netflix TechBlog

APRIL 27, 2023

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! Hence, we started down the path of alert evaluation via real-time streaming metrics. The internals here are outside the scope of this blog post.

Storage 293

Storage Cache Metrics Database 293

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Many technologies expose their metrics in the Prometheus data format. Easily gain actionable insights with the Dynatrace Extension for Prometheus metrics. Prometheus in Kubernetes ?and

Technology 246

Technology Technology Metrics Infrastructure 246

Dynatrace

AUGUST 29, 2024

As businesses increasingly embrace these technologies, integrating IoT metrics with advanced observability solutions like Dynatrace becomes essential to gaining additional business value through end-to-end observability. Both methods allow you to ingest and process raw data and metrics.

IoT 264

IoT Analytics Transportation Metrics 264

Dynatrace

MAY 7, 2024

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit and Fluentd were created for the same purpose: collecting and processing logs, traces, and metrics. Observability: Elevating Logs, Metrics, and Traces! What is Fluent Bit?

Best Practices 279

Best Practices IoT Metrics Storage 279

Dynatrace

FEBRUARY 6, 2025

In this blog series, we’ll guide you through creating powerful dashboards that transform complex data into actionable insights. In our next blog post, we’ll further enhance this dashboard with AI and increase its visual appeal and usability. To find the metric, go to the Explore section on the data tab.

Metrics 243

Metrics Infrastructure Monitoring Best Practices 243

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. In this blog, I will discuss the availability of Spark-Radiant 1.0.4, Spark-Radiant is now available and ready to use.

Performance 246

Performance Metrics Availability Big Data 246

Dynatrace

MAY 17, 2022

From a cost perspective, internal customers waste valuable time sending tickets to operations teams asking for metrics, logs, and traces to be enabled. A team looking for metrics, traces, and logs no longer needs to file a ticket to get their app monitored in their own environments. This approach is costly and error prone.

Availability 348

Availability Scalability Cloud Metrics 348

Dynatrace

NOVEMBER 19, 2021

Custom events for alerting using the Build tab and advanced query mode now apply the same metric dimension limits that are applied to Code -tab-based configurations. Prometheus metrics from exporters in Kubernetes that aren’t running on a OneAgent-monitored node now consume DDUs. Local self-monitoring metrics. Use dt.entity.<entity_type>

Metrics 246

Metrics Monitoring Traffic Servers 246

Dynatrace

FEBRUARY 25, 2021

Much of what’s covered in this blog post is taken from that talk. On the other hand, features needed for monitoring large applications, like memory dumps, code-level-visibility, or event loop metrics on Node.js In a future blog post, we’ll explain how to interpret Lambda metrics.

Lambda 278

Lambda AWS Monitoring Serverless 278

DZone

FEBRUARY 20, 2023

Disclaimer: All the views and opinions expressed in the blog belong solely to the author and not necessarily to the author's employer or any other group or individual. Once the one-time configuration is done, metric data will be available in the monitoring account automatically.

AWS 260

AWS Metrics Monitoring Cloud 260

Dynatrace

OCTOBER 6, 2023

Custom data buckets for faster queries, increased control, and custom retention periods The first layer in the Grail data model consists of buckets and tables (and views for entities, which is outside this blog post’s scope). Special thanks to Dominik Punz and Christian Kiesewetter for their contributions to this blog post.

Artificial Intelligence 279

Artificial Intelligence Metrics Analytics Storage 279

The Netflix TechBlog

SEPTEMBER 10, 2024

In this blog post, we'll reveal how we leveraged eBPF to achieve continuous, low-overhead instrumentation of the Linux scheduler, enabling effective self-serve monitoring of noisy neighbor issues. To emit a run queue latency metric, we leveraged three eBPF hooks: sched_wakeup, sched_wakeup_new, and sched_switch.

Latency 259

Latency Metrics Programming Monitoring 259