Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 186

Analytics Storage Retail Monitoring 186

Dynatrace

AUGUST 9, 2023

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Instead, we want to focus on detecting and stopping attacks before they happen: In your applications, in context, at the exact line of code that is vulnerable and in use.

Analytics 201

Analytics AWS Strategy Infrastructure 201

Dynatrace

FEBRUARY 15, 2023

Exploratory analytics is an essential capability for organizations to discover the stories hiding in their data. Visual data analytics with collaborative input from IT, development, security, and business teams makes those stories reveal themselves and helps teams immediately understand—and act on—their business impact.

Analytics 130

Analytics Government Media C++ 130

Dynatrace

MAY 17, 2023

That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. While classic logging is an essential tool in debugging issues, it often lacks context and only provides snapshot information of one specific location in your code/application. What is OpenTelemetry?

Metrics 185

Metrics Open Source Traffic Cache 185

Dynatrace

FEBRUARY 18, 2020

On the other side of the organization, application owners have hired teams of analysts to dig through web analytics tools to gain insights into the customer experience. Welcome to Dynatrace Digital Business Analytics. What does this mean and how can you unlock Digital Business Analytics? Digital Business Analytics in action.

Analytics 199

Analytics Retail Metrics Mobile 199

Dynatrace

NOVEMBER 3, 2023

focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. Comprehensive metrics support Extensions 2.0

Technology 250

Technology Technology Scalability Availability 250

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

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

Dynatrace

NOVEMBER 6, 2023

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. The challenge of cloud-native observability at the enterprise edge In aggregate, connected devices generate huge volumes of data.

Retail 264

Retail Analytics Storage Cloud 264

Dynatrace

JULY 25, 2023

Davis CoPilot empowers users to effortlessly create queries, data dashboards, and data notebooks using natural language and provides coding suggestions for workflow automation, reflecting the unique attributes of each customer’s hybrid and multicloud ecosystem. Identify all user sessions that contain conversion metrics (using Smartscape).

Best Practices 237

Best Practices Analytics Metrics Code 237

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

DECEMBER 4, 2023

OpenTelemetry has become a standard for collecting traces, metrics, and logs. Utilizing an additional OpenTelemetry SDK layer, this data seamlessly flows into the Dynatrace environment, offering advanced analytics and a holistic view of the AI deployment stack. Maintained under the Apache 2.0 However, Python models are trickier.

Open Source 262

Open Source Latency Metrics Java 262

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.” But contextual analytics don’t stop here. “AI

Artificial Intelligence 191

Artificial Intelligence Analytics Efficiency Database 191

Dynatrace

MARCH 1, 2024

This enables you to enrich your Adobe analytics data with end-to-end traces across all tiers and to get precise, real-time user insights. Furthermore, Dynatrace turns analytics into real-time answers, enabling you to better understand how applications’ outages impact critical business metrics like conversions, revenue, and engagement.

Analytics 195

Analytics Monitoring Website Efficiency 195

Dynatrace

FEBRUARY 28, 2024

This view seamlessly correlates crucial events across all affected components, eliminating the manual effort of sifting through various monitoring tools for infrastructure, process, or service metrics. As a result, businesses and SREs can redirect their manual diagnostic efforts toward fostering innovation.

DevOps 208

DevOps Metrics Engineering Analytics 208

Dynatrace

APRIL 28, 2023

Optimize cost and availability while staying compliant Observability data like logs and metrics provide automated answers, root cause detection, and security issues. To support configuration-as-code for enterprise environments, creating, updating, and deleting data buckets in Grail is available through an API endpoint.

Analytics 218

Analytics Storage Infrastructure Metrics 218

Dynatrace

APRIL 8, 2024

In summary, the Dynatrace platform enables banks to do the following: Capture any data type: logs, metrics, traces, topology, behavior, code, metadata, network, security, web, and real-user monitoring data, and business events. Grail drives insights and decisions that preserve earnings and strengthen balance sheets.

Analytics 206

Analytics Infrastructure Efficiency Technology 206

Tasktop

JANUARY 5, 2022

Flow Metrics are a major pillar of how we measure improvement in value streams. . As organizations begin to adopt Flow Metrics , our natural tendencies emerge to massage the newfound visibility to make the metrics “look good”. Flow Metrics anti-pattern: Excluding part of the value stream. Chop up the value stream.

Metrics 98

Metrics Speed Analytics Azure 98

Dynatrace

JUNE 9, 2023

They’re unleashing the power of cloud-based analytics on large data sets to unlock the insights they and the business need to make smarter decisions. From a technical perspective, however, cloud-based analytics can be challenging. That’s especially true of the DevOps teams who must drive digital-fueled sustainable growth.

DevOps 188

DevOps Analytics Storage Metrics 188

Dynatrace

DECEMBER 11, 2023

At Dynatrace, we measure the DORA metrics from Google. These include: Deployment frequency: How often is code deployed? Lead time for changes: How long does it take to get committed code into production? The first DORA metric is rather easy; we simply look at the throughput of the main branch. Sneak-peek time!

Open Source 191

Open Source Analytics Metrics Cloud 191

Jos

MARCH 29, 2018

I was browsing Tim Kadlec’s website and I noticed he had added page load time metrics in the footer. Stoyan Stefanov also realized and wrote “This page loaded in X seconds” , a blog post describing the code used for this. First Paint and First Contentful Paint Page load time is a metric that tells us part of the story.

Metrics 130

Metrics Google Analytics Code 130

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

SEPTEMBER 8, 2022

Metrics, logs , and traces make up three vital prongs of modern observability. Together with metrics, three sources of data help IT pros identify the presence and causes of performance problems, user experience issues, and potential security threats. Comparing log monitoring, log analytics, and log management.

Systems 189

Systems Cloud Analytics DevOps 189

Dynatrace

APRIL 18, 2024

It goes beyond traditional monitoring—metrics, logs, and traces—to encompass topology mapping, code-level details, and user experience metrics that provide real-time insights. Dynatrace offers a unified solution containing each of these key ingredients for DevSecOps and platform engineering success.

DevOps 184

DevOps Engineering Artificial Intelligence Infrastructure 184

Dynatrace

MARCH 27, 2024

Dynatrace integration with AWS AppFabric for security The AWS AppFabric for security feature fully manages the integrations with over 25 applications so customers can get started tracking application security in just a few clicks—no coding required. This section shows how to analyze AWS AppFabric logs with Notebooks and DQL.

AWS 250

AWS Analytics Government Monitoring 250

Dynatrace

APRIL 21, 2022

Dynatrace Application Performance Management (APM) has long provided multiple options for database monitoring, including deep insights into code and statements, service level visibility, connection pool monitoring, and more. Enrich database performance KPIs with business analytics. Get started now!

Database 243

Database DevOps Analytics Servers 243

Dynatrace

FEBRUARY 8, 2021

Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools.

Cloud 261

Cloud Azure Analytics Open Source 261

Dynatrace

FEBRUARY 14, 2022

Building on its advanced analytics capabilities for Prometheus data , Dynatrace now enables you to create extensions based on Prometheus metrics. Without any coding, these extensions make it easy to ingest data from these technologies and provide tailor-made analysis views and zero-config alerting. Dynatrace news.

Technology 222

Technology Technology Metrics Infrastructure 222

Dynatrace

MARCH 29, 2024

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. Artificial intelligence, including more recent advances in generative AI , is becoming increasingly important as organizations look to modernize how IT operates.

Artificial Intelligence 188

Artificial Intelligence DevOps Strategy Open Source 188

Dynatrace

MAY 21, 2023

It started as an observability platform; over time, it has expanded to provide real user monitoring, business analytics, and security insights. Thanks to the details provided by the code-level vulnerability functionality , the developers knew where in the code the exploited vulnerability was and were able to address and patch it quickly.

Analytics 234

Analytics Metrics Cloud Systems 234

Dynatrace

OCTOBER 7, 2020

Open-source metric sources automatically map to our Smartscape model for AI analytics. We’ve just enhanced Dynatrace OneAgent with an open metric API. Here’s a quick overview of what you can achieve now that the Dynatrace Software Intelligence Platform has been extended to ingest third-party metrics. Dynatrace news.

Open Source 258

Open Source Metrics Analytics Tuning 258

Jos

MARCH 30, 2018

I was browsing Tim Kadlec’s website and I noticed he had added page load time metrics in the footer. Stoyan Stefanov also realized and wrote “This page loaded in X seconds” , a blog post describing the code used for this. First Paint and First Contentful Paint Page load time is a metric that tells us part of the story.

Metrics 100

Metrics Google Analytics Code 100

Dynatrace

JULY 11, 2023

The forecast operation is selected within the Davis action, and a DQL query is used to specify the set of disks and the capacity indicator metric that should be predicted. Note that you can use any time series data you can fetch from Grail using DQL within the forecast action. List of events created by the workflow.

Metrics 209

Metrics Games Analytics Network 209

Dynatrace

NOVEMBER 28, 2022

For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. With SnapStart enabled, function code is initialized once when a function version is published. Simplify error analytics. What is Lambda?

Lambda 229

Lambda AWS Serverless Latency 229

Dynatrace

NOVEMBER 22, 2021

Like general observability , AWS observability is the capacity to measure the current state of your AWS environment based on the data it generates, including its logs, metrics, and traces. Lambda is Amazon’s event-driven, functions-as-a-service (FaaS) compute service that runs code when triggered for application and back-end services.

Best Practices 216

Best Practices AWS Monitoring Serverless 216

Dynatrace

FEBRUARY 9, 2024

OneAgent business events require no code changes, just a simple configuration to define capture rules. Important metrics include end-to-end measures of delay in tracking an order fulfillment service level goal and delay between each step to highlight anomalies and identify opportunities for process improvement.

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. Most AIOps approaches use predictive analytics that apply algorithms and machine learning to historical data to predict future outcomes. Why is causal AI important?

Artificial Intelligence 221

Artificial Intelligence Analytics Network Metrics 221