Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT. What is observability?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

APRIL 19, 2023

Customer lifetime value (CLV) has long been established as the key metric financial services firms use to gauge their profitability and competitive position in the market. The growing demand for rapid innovation is worsened by the ongoing skills shortages. This puts sensitive customer and transactional information at risk.

Innovation 211

Innovation DevOps Strategy Speed 211

Dynatrace

JULY 12, 2022

Ultimately, this IT automation helps organizations garner real-time data for precise troubleshooting, robust application performance, and solid customer experience. These data insights became critical for Park ‘N Fly as it moved infrastructure to the cloud; IT resources became more dynamic and less visible.

Innovation 227

Innovation Infrastructure DevOps Azure 227

Dynatrace

JANUARY 31, 2024

I have ingested important custom data into Dynatrace, critical to running my applications and making accurate business decisions… but can I trust the accuracy and reliability?” ” Welcome to the world of data observability. At its core, data observability is about ensuring the availability, reliability, and quality of data.

DevOps 200

DevOps Analytics Airlines Metrics 200

Dynatrace

MARCH 15, 2024

As organizations strive for observability and data democratization, OpenTelemetry emerges as a key technology to create and transfer observability data. Understanding OpenTelemetry OpenTelemetry is an open, vendor-neutral standard for creating, collecting, and transferring telemetry data, like traces, metrics, and logs.

Open Source 130

Open Source Best Practices Infrastructure Tuning 130

The Netflix TechBlog

JANUARY 11, 2022

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. Curious to learn more about other Data Science and Engineering functions at Netflix?

Innovation 243

Innovation Metrics Engineering Testing 243

Dynatrace

MAY 23, 2024

Dynatrace ® AppEngine features a no- and low-code toolset and leverages Davis AI to empower teams to easily create and share custom, intelligent, and secure apps that leverage insights from data generated by their clouds.

Azure 225

Azure Cloud Metrics Innovation 225

Dynatrace

MAY 24, 2024

These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. With the insights they gained, the team expanded into developing workflow automations using log management and analytics powered by the Grail data lakehouse.

Technology 225

Technology Technology Analytics Innovation 225

Dynatrace

SEPTEMBER 5, 2023

But when these teams work in largely manual ways, they don’t have time for innovation and strategic projects that might deliver greater value. Predictive AI uses machine learning, data analysis, statistical models, and AI methods to predict anomalies, identify patterns, and create forecasts. Proactive resource allocation.

Artificial Intelligence 269

Artificial Intelligence DevOps Analytics Engineering 269

Dynatrace

JUNE 11, 2019

To explore this issue, we asked participants the following question: Which of your teams have access to production monitoring data? Three quick conclusions: 1) More than 80% of the respondents claim that their Development teams have access to production monitoring data. Production monitoring data: The lifeblood of cross-talented teams.

Innovation 198

Innovation Monitoring Metrics Strategy 198

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. But for software to work perfectly, organizations need to use data to optimize every phase of the software lifecycle.

Analytics 200

Analytics Software Software Storage 200

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.

Metrics 246

Metrics Analytics Storage Monitoring 246

Dynatrace

SEPTEMBER 7, 2022

Dynatrace and the Dynatrace Intelligent Observability Platform have added support for the newly introduced Amazon VPC Flow Logs to Amazon Kinesis Data Firehose. This support enables customers to define specific endpoint delivery of real-time streaming data to platforms such as Dynatrace. What is VPC Flow Logs? Why Dynatrace?

Traffic 224

Traffic AWS Network Cloud 224

Dynatrace

OCTOBER 15, 2021

Let’s take a closer look and clear up any confusion about what it is, the telemetry data it covers, and the benefits it can provide. 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.

Open Source 227

Open Source Metrics Cloud Transportation 227

Dynatrace

FEBRUARY 20, 2024

Today’s organizations are drowning in data. So, it’s no surprise that data volumes have grown beyond humans’ ability to manage. But the data deluge isn’t the only problem facing enterprises, as many struggle with tool sprawl. Modern observability necessitates a holistic approach to collecting, processing, and analyzing data.

Monitoring 157

Monitoring Education Technology Technology 157

Dynatrace

MAY 21, 2024

Data with context can improve your ability to deliver on your goals, modernize your organization, and accelerate business transformation. These outcomes are made easy through the platform’s unique ability to turn data into answers and action, in contextual, real-time, and cost-effective ways that were previously impossible.

Technology 209

Technology Technology Analytics Storage 209

Dynatrace

JUNE 16, 2020

This real-time visibility, as well as proven code-level analysis from cloud to the mainframe, gives enterprises a huge competitive advantage—they can eliminate inefficiencies and consequently, innovate at a faster rate. Easily achieve a cost-effective IBM Z configuration by monitoring relevant infrastructure metrics.

Innovation 153

Innovation Metrics Infrastructure Programming 153

Dynatrace

FEBRUARY 2, 2022

This enables organizations to tame cloud complexity, minimize risk, and reduce manual effort so teams can focus on driving innovation. Security: Data is stored securely in the Dynatrace cloud (powered by Azure). At Dynatrace, we innovate faster and schedule releases more frequently on SaaS vs. our Managed deployments.

Azure 323

Azure Availability Hardware Innovation 323

Dynatrace

APRIL 24, 2024

To help our customers confidently navigate the complexities of the cloud and innovate faster and more securely, the Dynatrace platform must be delivered reliably. Retain Defines the ability of the Dynatrace platform to permanently store the data until the end of its retention period.

Azure 248

Azure Infrastructure Metrics AWS 248

Dynatrace

MARCH 18, 2024

OpenTelemetry standardizes how organizations instrument, generate, and collect telemetry data for analysis and provides community-based support. Because of its flexibility, this open source approach to instrumenting and collecting telemetry data is becoming increasingly important in large-size organizations.

Scalability 271

Scalability Open Source Analytics Innovation 271

The Netflix TechBlog

SEPTEMBER 18, 2020

and what the role entails by Julie Beckley & Chris Pham This Q&A provides insights into the diverse set of skills, projects, and culture within Data Science and Engineering (DSE) at Netflix through the eyes of two team members: Chris Pham and Julie Beckley. What was your path to working in data? There’s us to the right!

Analytics 223

Analytics Education Innovation Engineering 223

Dynatrace

FEBRUARY 1, 2024

Multicloud strategy: Balancing potential with complexity in modern IT ecosystems In the ever-changing digital world, cloud technologies are crucial in driving business innovation and adaptability. Centralization brings all the critical metrics and logs into one place, providing a holistic perspective over your cloud environment.

Cloud 214

Cloud Strategy Metrics Government 214

Dynatrace

MAY 8, 2023

In turn, this drives the need for increased integration of heterogeneous telemetry data such as metrics, logs, and traces, and intelligent awareness of context across disparate data types. It enables organizations to benefit from collective innovation for common tasks so they can concentrate on building their own IP.

Open Source 216

Open Source Strategy Lambda Metrics 216

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

FEBRUARY 27, 2024

During a session at Dynatrace Perform 2024 , Dynatrace colleagues Kristof Renders, director of innovation services, and Brian Chandler, principal solutions architect, demonstrated four BizDevSecOps use cases for the Dynatrace unified observability and security platform. These are all metrics Dynatrace collects directly out of the box.

Best Practices 244

Best Practices Metrics AWS Innovation 244

Dynatrace

AUGUST 30, 2023

Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. Managed Kubernetes clusters on GKE Autopilot have gained unprecedented momentum among enterprises.

Google 229

Google Cloud Innovation Infrastructure 229

Dynatrace

MARCH 18, 2024

Following FinOps practices, engineering, finance, and business teams take responsibility for their cloud usage, making data-driven spending decisions in a scalable and sustainable manner. Empowering teams to manage their FinOps practices, however, requires teams to have access to reliable multicloud monitoring and analysis data.

Best Practices 241

Best Practices Strategy Cloud AWS 241

The Netflix TechBlog

NOVEMBER 27, 2023

For example, how do we estimate the effects of innovations on retention a year later without running all our experiments for a year? Our next topic focused on how to understand and balance competing engagement metrics; for example, should 1 hour of gaming equal 1 hour of streaming?

Code 216

Code Games Metrics Innovation 216

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. It can be challenging to cut through the massive volume of telemetry data and quickly understand the impact on your business and customers.

Metrics 311

Metrics Innovation Monitoring Software 311

Dynatrace

SEPTEMBER 21, 2023

A single data center can consume the equivalent electricity of 50,000 homes.” The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing. These metrics include CPU, memory, disk, and network I/O. This adoption will further impact carbon emissions.

Energy 242

Energy Cloud Airlines Strategy 242

Dynatrace

FEBRUARY 15, 2023

Teams can now use an observability platform to unify operations, business, and development data to gain automatic, precise answers about cloud environments and user experience. The ability to create custom apps becomes increasingly important as organizations strive to innovate and grow.

Analytics 130

Analytics Storage Cloud Code 130

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 212

Cache Azure Infrastructure Monitoring 212

The Netflix TechBlog

DECEMBER 2, 2019

QoE is measured with a compilation of metrics that describe everything about the user’s experience from the time they press play until the time they finish watching. Examples of such metrics include how quickly the content starts playing and the number of times the video froze during playback (number of rebuffers).

Metrics 143

Metrics Strategy Efficiency Testing 143

The Netflix TechBlog

DECEMBER 2, 2019

QoE is measured with a compilation of metrics that describe everything about the user’s experience from the time they press play until the time they finish watching. Examples of such metrics include how quickly the content starts playing and the number of times the video froze during playback (number of rebuffers).

Metrics 140

Metrics Strategy Efficiency Testing 140

Dynatrace

FEBRUARY 21, 2024

Automating quality gates is ideal, as it minimizes manually checking and validating key metrics throughout the SDLC. By actively monitoring metrics such as error rate, success rate, and CPU load, quality gates instill confidence in teams during software releases. Several tools can be used to collect metrics in load/performance testing.

Speed 216

Speed Software Software Latency 216

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. We’ll post news here as it happens!

Efficiency 284

Efficiency Performance Analytics DevOps 284