Dynatrace

JANUARY 17, 2023

This results in site reliability engineers nudging development teams to add resource attributes, endpoints, and tokens to their source code. Second, embracing the complexity of OpenTelemetry signal collection must come with a guaranteed payoff: gaining analytical insights and causal relationships that improve business performance.

Analytics 321

Analytics Metrics Open Source Java 321

Dynatrace

FEBRUARY 4, 2025

In this blog post, we will see how Dynatrace harnesses the power of observability and analytics to tailor a new experience to easily extend to the left, allowing developers to solve issues faster, build more efficient software, and ultimately improve developer experience!

Development 235

Development Analytics Code Architecture 235

Dynatrace

OCTOBER 16, 2024

Kickstart your creation journey using ready-made dashboards and notebooks Creating dashboards and notebooks from scratch can take time, particularly when figuring out available data and how to best use it. This feature lets you explore any available metric and add it to Notebooks or Dashboards.

Social Media 263

Social Media Metrics Network Analytics 263

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 243

Analytics Engineering Data Engineering Tuning 243

Dynatrace

NOVEMBER 20, 2024

Dynatrace, available as an Azure-native service , has a longstanding partnership with Microsoft, deeply rooted in a strong “build with” approach to deliver seamless user experience. They can automatically identify vulnerabilities, measure risks, and leverage advanced analytics and automation to mitigate issues.

Best Practices 299

Best Practices Innovation Azure Cloud 299

Dynatrace

MAY 28, 2024

Dynatrace automatically puts logs into context Dynatrace Log Management and Analytics directly addresses these challenges. Log analytics simplified: Deeper insights, no DQL required Your team will immediately notice the streamlined log analysis capabilities below the histogram. This context is vital to understanding issues.

Analytics 267

Analytics Infrastructure Database Monitoring 267

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. Limited data availability constrains value creation. Even in cases where all data is available, new challenges can arise.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

Dynatrace

MAY 17, 2022

The application consists of several microservices that are available as pod-backed services. This gives us unified analytics views of node resources together with pod-level metrics such as container CPU throttling by node, which makes problem correlation much easier to analyze. The following example drives the point home.

Availability 348

Availability Scalability Cloud Metrics 348

Dynatrace

OCTOBER 3, 2024

The end goal, of course, is to optimize the availability of organizations’ software. Dynatrace is widely recognized for its AI capabilities’ ability to predict and prevent issues, and automatically identify root causes, maximizing availability. Eventually, the goal is to arrive at self-healing through autonomous cloud operations.

Availability 278

Availability DevOps Analytics Cloud 278

Dynatrace

FEBRUARY 16, 2024

The growing complexity of modern multicloud environments has created a pressing need to converge observability and security analytics. Security analytics is a discipline within IT security that focuses on proactive threat prevention using data analysis. Clair determined what log data was available to her. To begin, St.

Analytics 246

Analytics Engineering Cloud Traffic 246

Dynatrace

FEBRUARY 28, 2024

In a digital-first world, site reliability engineers and IT data analysts face numerous challenges with data quality and reliability in their quest for cloud control. Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices.

Analytics 246

Analytics Metrics Media Monitoring 246

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 245

Azure Analytics Artificial Intelligence Innovation 245

Dynatrace

JULY 24, 2024

Dynatrace full stack observability for Red Hat OpenShift Dynatrace enhances software quality and operational efficiency, which drives innovation by unifying application, operation, and platform engineering teams on a single platform. Learn more about the new Kubernetes Experience for Platform Engineering.

Availability 279

Availability Infrastructure Metrics Monitoring 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 246

Analytics Artificial Intelligence Big Data Open Source 246

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 306

Engineering DevOps Best Practices Infrastructure 306

Dynatrace

JULY 29, 2021

With extended contextual analytics and AIOps for open observability, Dynatrace now provides you with deep insights into every entity in your IT landscape, enabling you to seamlessly integrate metrics, logs, and traces—the three pillars of observability. Dynatrace extends its unique topology-based analytics and AIOps approach.

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 246

Analytics Storage Retail DevOps 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 245

Analytics Storage Retail DevOps 245

Dynatrace

AUGUST 29, 2024

This information is essential for later advanced analytics and aircraft tracking. They provide detailed information that, when sent to Dynatrace, enables data analytics and improved decision-making capabilities. Some outputs can be displayed as single values, categorical charts, line charts, or other dashboard elements, as shown below.

IoT 264

IoT Analytics Transportation Metrics 264

Dynatrace

JUNE 28, 2022

Mobile analytics can help organizations optimize their mobile application performance, earning customer accolades and increasing revenue in the process. Learn how one Dynatrace customer leveraged mobile analytics to ensure a crash-free, five-star mobile application. Add instrumentation and validate incoming mobile analytics data.

Mobile 246

Mobile Analytics Best Practices Software Engineering 246

Dynatrace

NOVEMBER 22, 2022

The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. But is five nines availability attainable? Downtime per year. 90% (one nine).

Infrastructure 246

Infrastructure Availability Systems Retail 246

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. Platform engineering: Build for self-service Self-service deployment is a key attribute of platform engineering. “It makes them more productive.

Engineering 264

Engineering Development DevOps Infrastructure 264

Dynatrace

JANUARY 12, 2022

We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. – DevOps Engineer, large healthcare company. You can easily switch between the available metrics as necessary, apply different aggregation functions, or define metric-specific alerts. This is great!

Analytics 246

Analytics Systems DevOps Healthcare 246

Dynatrace

FEBRUARY 9, 2021

When it comes to mobile monitoring, everyone has their own point of view… Mobile is not a single technology: it involves different development teams handling Android and iOS apps, performance engineering teams, cloud operations, and marketing. How do I connect the dots between mobile analytics and performance monitoring?

Analytics 276

Analytics Mobile Performance Monitoring 276

Dynatrace

JANUARY 15, 2025

Vulnerabilities is our Dynatrace Runtime Vulnerability Analytics platform experience for detecting, visualizing, analyzing, monitoring, and remediating vulnerabilities across your application stack. Problems utilizes Davis AI to automatically analyze your system and detect abnormal behavior, such as performance or stability issues.

Systems 264

Systems DevOps Analytics Monitoring 264

Dynatrace

OCTOBER 28, 2019

In this post, I wanted to share how I use Google Analytics together with Dynatrace to give me a more complete picture of my customers, and their experience across our digital channels. Google Analytics. Almost all marketers will be familiar with Google Analytics. Digital and Business Analytics. Using Davis, the AI Engine.

Google 202

Google Analytics Traffic Operating System 202

Dynatrace

JANUARY 21, 2025

This is where Davis AI for exploratory analytics can make all the difference. Activate Davis AI to analyze charts within seconds Davis AI can help you expand your dashboards and dive deeper into your available data to extract additional information.

Traffic 262

Traffic Metrics Analytics Monitoring 262

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

MAY 23, 2024

Stream processing enables software engineers to model their applications’ business logic as high-level representations in a directed acyclic graph without explicitly defining a physical execution plan. We designed experimental scenarios inspired by chaos engineering. Chaos scenario: Random pods executing worker instances are deleted.

Engineering 245

Engineering Tuning Latency Open Source 245

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 246

Engineering Development Infrastructure Cloud 246

The Netflix TechBlog

FEBRUARY 14, 2025

Every image you hover over isnt just a visual placeholder; its a critical data point that fuels our sophisticated personalization engine. Analytical Insights Additionally, impression history offers insightful information for addressing a number of platform-related analytics queries.

Tuning 166

Tuning Latency Efficiency Storage 166

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. This opens up new analytics use case to e.g: Instead of getting these answers in the multi-dimensional analysis view, we can define Calculated Service Metrics to have these data points available as metrics (SLIs).

Engineering 270

Engineering Performance Metrics Best Practices 270

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 271

Data Engineering Engineering Processing Games 271

Dynatrace

NOVEMBER 3, 2023

address these limitations and brings new monitoring and analytical capabilities that weren’t available to Extensions 1.0: Reporting and analytics assets out-of-the-box Bundles offered by Extensions 2.0 Analytical views are linked and embedded where they make the most sense from the observability perspective. Extensions 2.0

Technology 264

Technology Technology Scalability Availability 264

The Netflix TechBlog

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

Data Engineering 181

Data Engineering Engineering Big Data Software Engineering 181

Dynatrace

NOVEMBER 17, 2020

PurePath unlocks precise and actionable analytics across the software lifecycle in heterogenous cloud-native environments. Dynatrace provides information on every request, through every single microservice or serverless function, seamlessly integrating OpenTelemetry, with powerful analytics, including: Out-of-the-box service hotspot analysis.

Analytics 236

Analytics Technology Technology Cloud 236

Dynatrace

APRIL 4, 2025

When using Dynatrace, in addition to automatic log collection, you gain full infrastructure context and access to powerful, advanced log analytics tools such as the Logs, Notebooks, and Dashboards apps. For forensic log analytics use cases, the Security Investigator app benefits from the scalability and analytics power of Dynatrace Grail.

Analytics 147

Analytics Operating System Scalability Infrastructure 147