Dynatrace

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. With Dynatrace and Smartscape for DQL, metrics are a completely different game.

Analytics 235

Analytics Social Media Metrics Efficiency 235

Dynatrace

DECEMBER 18, 2020

Agentless RUM, OpenKit, and Metric ingest to the rescue! Now we have performance and errors all covered: Business Analytics. What insights can we gain from usage metrics that we can feed-back to our product management teams? Digital Business Analytics can help answer those questions. App architecture. BizOpsConfigurator.

Analytics 137

Analytics Metrics IoT Monitoring 137

Dynatrace

NOVEMBER 7, 2023

Platform engineering is on the rise. According to leading analyst firm Gartner, “80% of software engineering organizations will establish platform teams as internal providers of reusable services, components, and tools for application delivery…” by 2026.

Engineering 279

Engineering DevOps Best Practices Infrastructure 279

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 193

Analytics Artificial Intelligence Big Data Open Source 193

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence. Enter Grail-powered data and analytics.

Analytics 196

Analytics Software Software Storage 196

The Netflix TechBlog

OCTOBER 30, 2020

Part of our series on who works in Analytics at Netflix?—?and I’m a Senior Analytics Engineer on the Content and Marketing Analytics Research team. My team focuses on innovating and maintaining the metrics Netflix uses to understand performance of our shows and films on the service. But what do I actually do?

Analytics 136

Analytics Engineering Innovation Metrics 136

The Netflix TechBlog

SEPTEMBER 18, 2020

Analytics at Netflix: Who We Are and What We Do An Introduction to Analytics and Visualization Engineering at Netflix by Molly Jackman & Meghana Reddy Explained: Season 1 (Photo Credit: Netflix) Across nearly every industry, there is recognition that data analytics is key to driving informed business decision-making.

Analytics 240

Analytics Engineering Data Engineering Tuning 240

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Current analytics tools are fragmented and lack context for meaningful analysis. Effective analytics with the Dynatrace Query Language.

Analytics 239

Analytics Artificial Intelligence Storage Serverless 239

Dynatrace

MAY 5, 2021

In fact, for most of us, has become a priority, requiring us to expand our focus on observability to include business analytics metrics. With Dynatrace Business Analytics , you know in real-time when business KPIs–conversions, quotes, payments, registrations, purchases, etc.–degrade. Below is the survey summary.

Analytics 240

Analytics Metrics Engineering Design 240

Dynatrace

MARCH 29, 2023

With this Google Cloud Ready integration, Dynatrace ensures that AlloyDB for PostgreSQL users can now ingest metrics along with existing Google Cloud data. Out of the box, Dynatrace also works with Google Cloud’s Cloud Run, BigQuery, Compute Engine, and dozens of other native Google Cloud services and offerings.

Google 225

Google Metrics Cloud Analytics 225

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 220

Analytics Storage Retail Monitoring 220

Dynatrace

FEBRUARY 12, 2024

When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

Engineering 187

Engineering Development Infrastructure Cloud 187

DZone

JUNE 11, 2023

Application logs and metrics are vital for any application development or maintenance process. However, managing and analyzing logs and metrics can be a daunting task, especially if the application generates a large volume of data. It stores data in a document-oriented index, offering fast search and analytics capabilities.

Metrics 141

Metrics Open Source Analytics Engineering 141

Dynatrace

JULY 29, 2021

The result is that IT teams must often contend with metrics, logs, and traces that aren’t relevant to organizational business objectives—their challenge is to translate such unstructured data into actionable business insights. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

JANUARY 12, 2022

We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. With other products, we had to make guesses about the impacted services based solely on metrics”. – DevOps Engineer, large healthcare company. OneAgent extensions provide the technology-specific metrics.

Analytics 192

Analytics Systems DevOps Healthcare 192

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

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. Log data—the most verbose form of observability data, complementing other standardized signals like metrics and traces—is especially critical.

Cloud 184

Cloud Lambda AWS Analytics 184

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty At Netflix, our Membership and Finance Data Engineering team harnesses diverse data related to plans, pricing, membership life cycle, and revenue to fuel analytics, power various dashboards, and make data-informed decisions. Our audits would detect this and alert the on-call data engineer (DE).

Data Engineering 264

Data Engineering Engineering Processing Games 264

Dynatrace

MARCH 16, 2022

We added monitoring and analytics for log streams from Kubernetes and multicloud platforms like AWS, GCP, and Azure, as well as the most widely used open-source log data frameworks. 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 219

Metrics Lambda Infrastructure Monitoring 219

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

AUGUST 26, 2020

We are proud to s hare Dynatrace has been named the winner in the “ Best Overall AI-based Analytics Company ” category, recognized for our innovation and the business-driving impact of our AI engine, Davis. . The post Dynatrace wins AI Breakthrough Award for Davis AI engine appeared first on Dynatrace blog.

Engineering 304

Engineering DevOps Innovation AWS 304

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. 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.

Metrics 184

Metrics Analytics Software Architecture Open Source 184

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. where an error occurred at the code level.

Analytics 226

Analytics Storage Infrastructure Metrics 226

Dynatrace

DECEMBER 15, 2020

OpenTelemetry metrics are useful for augmenting the fully automatic observability that can be achieved with Dynatrace OneAgent. OpenTelemetry metrics add domain specific data such as business KPIs and license relevant consumption details. Enterprise-grade observability for custom OpenTelemetry metrics from AWS. Dynatrace news.

AWS 180

AWS Metrics Analytics Government 180

Dynatrace

FEBRUARY 28, 2024

Doing so reduces the risk of production disruptions and instills confidence in both SREs (Site Reliability Engineers) and end-users. 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.

DevOps 208

DevOps Metrics Engineering Analytics 208

Dynatrace

SEPTEMBER 5, 2023

By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data.

Artificial Intelligence 266

Artificial Intelligence DevOps Analytics Engineering 266

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

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 28, 2020

In this blog, I will be going through a step-by-step guide on how to automate SRE-driven performance engineering. These tags will allow us to create dashboards, request attributes or calculate service metrics specifically for our application under test. This allows us to analyze metrics (SLIs) for each individual endpoint URL.

Engineering 195

Engineering Performance Metrics Best Practices 195

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

MARCH 18, 2024

Before OpenTelemetry and the W3C Trace Context open standard that underpins it, observability vendors had to reverse-engineer tracing libraries. With deep analytics of traces from Dynatrace, developers have data in full context, which helps them easily debug instrumentation issues. Ingest and multiplex data.

Scalability 268

Scalability Open Source Analytics Innovation 268

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. 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.

Metrics 130

Metrics Analytics Software Architecture Open Source 130

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. You can ask Davis, the Dynatrace AI engine , to correlate CPU usage against other signals.

Retail 264

Retail Analytics Storage Cloud 264

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. Grail needs to support security data as well as business analytics data and use cases. So, there was a need to do something revolutionary. Thus, Grail was born. Ingest and process with Grail.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Dynatrace

DECEMBER 4, 2023

“Engineers today lack an easy way to track the tokens and prompt usage of their LLM applications in production. OpenTelemetry has become a standard for collecting traces, metrics, and logs. By using OpenLLMetry and Dynatrace, anyone can get complete visibility into their system, including gen-AI parts with 5 minutes of work.”

Open Source 262

Open Source Latency Metrics Java 262

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 191

Artificial Intelligence Analytics Efficiency Database 191

Dynatrace

NOVEMBER 3, 2023

address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Comprehensive metrics support Extensions 2.0 Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0 Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0

Technology 250

Technology Technology Scalability Availability 250