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. Seamlessly report and be alerted on topology-related custom metrics.

Metrics 244

Metrics Analytics Storage Monitoring 244

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 270

Engineering DevOps Best Practices Infrastructure 270

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 226

Analytics Social Media Metrics Efficiency 226

Dynatrace

DECEMBER 18, 2020

Wouldn’t it be great if I had an industry-leading software intelligence platform to monitor these apps, pinpoint root causes of slow performance or errors, and gain insights about my users’ experience? Agentless RUM, OpenKit, and Metric ingest to the rescue! Now we have performance and errors all covered: Business Analytics.

Analytics 135

Analytics Metrics IoT Monitoring 135

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 184

Analytics Artificial Intelligence Big Data Open Source 184

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 187

Analytics Software Software Storage 187

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. While poor performance or errors can certainly cause a drop in conversions, so can other factors. Business analytics: the foundation for collaboration. How much did that cost?

Analytics 235

Analytics Metrics Engineering Design 235

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 178

Engineering Development Infrastructure Cloud 178

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 211

Analytics Storage Retail Monitoring 211

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 216

Google Metrics Cloud Analytics 216

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 230

Analytics Artificial Intelligence Storage Serverless 230

DZone

JUNE 11, 2023

Application logs and metrics are vital for any application development or maintenance process. They provide valuable information about the application's performance, errors, and user behavior, which can be used to identify and resolve issues quickly. That's where Elasticsearch and Kibana come in.

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. How can we optimize for performance and scalability? Does a certain issue impact a specific service?

Analytics 246

Analytics Open Source Serverless Architecture 246

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 178

Analytics Storage Retail Monitoring 178

Dynatrace

MAY 24, 2024

Specifically, the company recognized five third-party suppliers for delivering outstanding service excellence across various criteria that align with Ally’s core values and performance standards. Ally is an agile, modern financial services enterprise that has etched unified observability, AI, and analytics into the core of its cloud strategy.

Technology 212

Technology Technology Analytics Innovation 212

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 248

Cloud Lambda AWS Analytics 248

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. – DevOps Engineer, large healthcare company.

Analytics 183

Analytics Systems DevOps Healthcare 183

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

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. These are just some of the topics being showcased at Perform 2023 in Las Vegas. Perform 2023 news At Perform 2023 in Las Vegas, the headliner theme is IT automation. What is a data lakehouse?

Efficiency 272

Efficiency Performance Analytics DevOps 272

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. Step-by-step guide: SRE-driven performance analysis with Dynatrace. Dynatrace news. Keptn uses SLO definitions to automatically configure Dynatrace or Prometheus alerting rules. This is what this blog is all about.

Engineering 189

Engineering Performance Metrics Best Practices 189

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 210

Metrics Lambda Infrastructure Monitoring 210

Dynatrace

FEBRUARY 18, 2020

Traditionally, it’s critical for Dev and Ops teams to be able to quickly discover and remediate application performance and customer-facing issues. 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.

Analytics 192

Analytics Retail Metrics Mobile 192

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 301

Engineering DevOps Innovation AWS 301

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 260

Artificial Intelligence DevOps Analytics Engineering 260

Dynatrace

APRIL 8, 2022

Output plugins deliver logs to storage solutions, analytics tools, and observability platforms like Dynatrace. While Fluentd solves the challenges of collecting and normalizing Kubernetes events and logs, Kubernetes performance and availability problems can rarely be solved by investigating logs in isolation.

Metrics 176

Metrics Analytics Software Architecture Open Source 176

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 211

Open Source Analytics Metrics Cloud 211

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. Logs assist operations, security, and development teams in ensuring the reliability and performance of application environments. Data variety is a critical issue in log management and log analytics.

Analytics 217

Analytics Storage Infrastructure Metrics 217

Dynatrace

MARCH 1, 2024

By going beyond application performance monitoring with AI-powered, full stack observability, Dynatrace enables seamless end-to-end visibility. 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.

Analytics 186

Analytics Monitoring Website Efficiency 186

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 199

DevOps Metrics Engineering Analytics 199

Dynatrace

APRIL 21, 2021

Ben Rushlo, Dynatrace Vice President of DEM Services, puts it this way: “As performance degrades, user experience degrades, engagement degrades, and business outcomes degrade.” Metrics that offer measurable, repeatable insight into the user experience from the moment they arrive on a website from a mobile or desktop device.

Metrics 133

Metrics Google Website Speed 133

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 174

AWS Metrics Analytics Government 174

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.” The first risk is not adopting AI at all.

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

Dynatrace

NOVEMBER 6, 2023

Successful deployments of cloud-native workloads at the edge help to reduce costs, boost performance, and improve customer experience. By drilling down further on the workload level, you can gain valuable insights into the performance and potential problems of any containerized workload.

Retail 254

Retail Analytics Storage Cloud 254

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. license by Traceloop, OpenLLMetry is a valuable asset for product owners, providing a transparent view of AI model performance.

Open Source 254

Open Source Latency Metrics Java 254

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 264

Artificial Intelligence Analytics Storage Architecture 264

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 232

Performance Analytics Mobile Innovation 232

Dynatrace

NOVEMBER 3, 2023

address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Comprehensive metrics support Extensions 2.0 Extensions 2.0 Extensions 2.0

Technology 243

Technology Technology Scalability Availability 243