Dynatrace

DECEMBER 16, 2022

Software should forward innovation and drive better business outcomes. Conversely, an open platform can promote interoperability and innovation. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia. Data supports this need for organizations to flex and modernize.

Innovation 189

Innovation Software Software Cloud 189

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 257

Artificial Intelligence DevOps Analytics Engineering 257

The Netflix TechBlog

SEPTEMBER 18, 2020

Part of our series on who works in Analytics at Netflix?—?and 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.

Analytics 223

Analytics Education Innovation Engineering 223

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 268

Efficiency Performance Analytics DevOps 268

Dynatrace

APRIL 8, 2024

Maximizing a strong foundation of IT infrastructure performance and security means effectively utilizing all the data that these systems produce to drive risk management processes and decision-making. Risk functions realize unprecedented visibility and control through the following: Automated aggregation of data from disparate sources.

Analytics 193

Analytics Infrastructure Efficiency Technology 193

Dynatrace

FEBRUARY 28, 2024

Foremost among these is the complexity associated with data gathering and analysis. 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 196

DevOps Metrics Engineering Analytics 196

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Some of these challenges involve basic tasks—such as data collection. Dynatrace Grail enables organizations to ingest data without predefining schema.

Artificial Intelligence 176

Artificial Intelligence DevOps Strategy Open Source 176

Dynatrace

FEBRUARY 16, 2023

But the cloud also produces an explosion of data. And with that data comes the thorn to the cloud’s rose: increased complexity. The cloud is delivering an explosion of data and an incredible increase in its complexity. You have to get automation and analytical capabilities.”

Artificial Intelligence 186

Artificial Intelligence Analytics Cloud Innovation 186

Dynatrace

FEBRUARY 8, 2021

Also, these modern, cloud-native architectures produce an immense volume, velocity, and variety of data. Every service and component exposes observability data (metrics, logs, and traces) that contains crucial information to drive digital businesses. Collecting data requires massive and ongoing configuration efforts.

Cloud 256

Cloud Azure Analytics AWS 256

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 228

Performance Analytics Mobile Innovation 228

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 199

Cache Azure Infrastructure Monitoring 199

Dynatrace

APRIL 10, 2023

And according to recent data from Enterprise Strategy Group, 59% of survey respondents indicated spending on public cloud applications would increase in 2023. Kiran Bollampally, site reliability and digital analytics lead for ecommerce at Tractor Supply Co., “We can analyze the data from those services in context.”

Cloud 166

Cloud Ecommerce Performance Retail 166

Dynatrace

APRIL 7, 2023

There is a new Lambda function handler signature that provides a stream object to which your function can write incoming stream data immediately, without waiting for any buffering as before. Organizations will also benefit from the visibility of new metrics directly from the Lambda Stream such as the following: StreamedOutboundBytes.

Lambda 208

Lambda AWS Serverless Latency 208

Dynatrace

MAY 21, 2023

Log forensics—investigating security incidents based on log data—has become more challenging as organizations adopt cloud-native technologies. But as organizations rely more on cloud environments, data and complexity have proliferated. Moreover, they have come to recognize that they need to understand data in context.

Analytics 224

Analytics Metrics Cloud Systems 224

Dynatrace

JULY 25, 2022

VPC Flow Logs is a feature that gives you the capability to capture more robust IP traffic data that traverses your VPCs. Flow log data can be published to Amazon CloudWatch Logs or Amazon S3 after which you can retrieve and view its data in the Dynatrace Intelligent Observability Platform. Log Metrics. Resource type.

AWS 210

AWS Transportation Network Traffic 210

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

AUGUST 26, 2020

Today, the AI Breakthrough Awards announced its 2020 winners , recognizing the leading AI innovators and solutions. Dynatrace automatically collects data not just from metrics, traces, and logs, but also user experience and code-level insights – all in context and mapped into a topology.

Engineering 300

Engineering DevOps Innovation AWS 300

Dynatrace

NOVEMBER 22, 2021

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. It manages the underlying infrastructure that hosts distributed container-based applications, which frees developers to focus on innovating and developing applications.

Best Practices 204

Best Practices AWS Monitoring Serverless 204

Dynatrace

OCTOBER 17, 2023

In today’s data-driven landscape, businesses are grappling with an unprecedented surge in data volume. The data generated by applications to support operational teams has reached overwhelming proportions. This data overload also prevents customer-centric pricing models as users consider cost-effective technology platforms.

Retail 229

Retail Storage Best Practices Architecture 229

Dynatrace

NOVEMBER 22, 2021

Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. Not just logs, metrics and traces. A modern observability solution transforms data from distributed environments into actionable business intelligence. Dynatrace extends contextual analytics and AIOps for open observability.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

Dynatrace

FEBRUARY 16, 2023

How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.

Analytics 179

Analytics Innovation Metrics Database 179

The Netflix TechBlog

MARCH 2, 2021

Stephanie Lane , Wenjing Zheng , Mihir Tendulkar Source credit: Netflix Within the rapid expansion of data-related roles in the last decade, the title Data Scientist has emerged as an umbrella term for myriad skills and areas of business focus. Learning through data is in Netflix’s DNA. Roxy Du (Product Innovation) [Roxy D.]

Analytics 207

Analytics C++ Innovation Engineering 207

Dynatrace

SEPTEMBER 10, 2020

Yesterday’s nice-to-have is today’s must-have It was never ideal to rely exclusively on business intelligence or web analytics tools to discover poor business outcomes caused by friction in the purchase funnel. The good news is that it’s easy—as a Dynatrace customer—to include your business goals and metrics on your Dynatrace dashboards.

Retail 132

Retail Analytics Metrics Mobile 132

Dynatrace

APRIL 28, 2020

T he Dynatrace Software Intelligence Platform includes multiple modules, underpinned by a common data model. In addition to APM , th is platform offers our customers infrastructure monitoring spanning logs and metrics, digital business analytics, digital experience monitoring, and AIOps capabilities.

DevOps 236

DevOps Innovation Monitoring Analytics 236

Dynatrace

OCTOBER 14, 2022

These systems are generating more data than ever, and teams simply can’t keep up with a manual approach. Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. What is artificial intelligence?

Artificial Intelligence 169

Artificial Intelligence DevOps Analytics Cloud 169

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. The ability to measure a system’s current state based on the data it generates. How to achieve digital immunity with a unified data platform. Observability. Continuous validation.

Software 188

Software Software Artificial Intelligence DevOps 188

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. These solutions provide performance metrics for applications, with specific insights into the statistics, such as the number of transactions processed by the application or the response time to process such transactions.

Artificial Intelligence 226

Artificial Intelligence Monitoring Infrastructure Cloud 226

Dynatrace

DECEMBER 2, 2021

These can include business metrics, such as conversion rates, uptime, and availability; service metrics, such as application performance; or technical metrics, such as dependencies to third-party services, underlying CPU, and the cost of running a service. What are SLIs? Help with decision making. Automate SLO evaluation.

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

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 184

Analytics Software Software Storage 184

Percona

AUGUST 17, 2023

It’s used for data management (shocker), application development, and data analytics. In another survey, using multiple metrics for overall popularity, PostgreSQL ranks as the fourth most popular database management system ( DB-Engines, March 2023 ). PostgreSQL is open source relational database management software.

Open Source 80

Open Source Healthcare Social Media Database 80

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Customers can monitor their Function URLs with new CloudWatch metrics such as UrlRequestCount, Url4xxError, Url5xxError, and UrlLatency.

Lambda 161

Lambda AWS Serverless Infrastructure 161

Dynatrace

MAY 27, 2022

This automatic analysis enables engineers to spend more time innovating and improving business operations. Each piece of the AIOps triumvirate plays a crucial role in the automation process to speed innovation. For example, a typical use case involves a web server running an analytics and reporting system.

Artificial Intelligence 180

Artificial Intelligence Innovation Servers Database 180

Dynatrace

JANUARY 13, 2021

These ratings reflect Dynatrace users’ perspectives on what sets us apart: the ability to tame cloud complexity with an all-In-one-platform built on a unified data model with AI and automation at the core. This allows DevSecOps teams to spend less time troubleshooting and more time driving innovation and business value.

Artificial Intelligence 137

Artificial Intelligence DevOps Analytics Innovation 137

Dynatrace

NOVEMBER 5, 2019

Microsoft offers a wide variety of tools to monitor applications deployed within Microsoft Azure, and the Azure Monitor suite includes several integration points into the enterprise applications, including: VM agent – Collects logs and metrics from the guest OS of virtual machines. Available as an agent installer). How does Dynatrace fit in?

Azure 135

Azure Artificial Intelligence Metrics Innovation 135

Dynatrace

FEBRUARY 2, 2022

According to Google G-Suite researchers , a good availability metric should be meaningful (captures user experience), proportional (change in the metric should be proportional to the change in user-perceived availability), and actionable (insight into why the metric is low or high). Let’s take service availability for example.

DevOps 189

DevOps Metrics Best Practices Latency 189

Dynatrace

MAY 13, 2020

Your relentless innovation, creativity, and pursuit of ‘better’ is what we believe drives Dynatrace forward. Instead, our partners are now able to fully utilize their scale, resources and expertise to build advanced service offerings that drive automation and innovation across enterprises. Accelerated transformation.

Energy 138

Energy Innovation Analytics Monitoring 138

Dynatrace

APRIL 6, 2022

Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Customers can monitor their Function URLs with new CloudWatch metrics such as UrlRequestCount, Url4xxError, Url5xxError, and UrlLatency.

Lambda 130

Lambda AWS Serverless Infrastructure 130