Dynatrace

JULY 29, 2021

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. All this data is then consumed by Dynatrace Davis® AI for more precise answers, thereby driving AIOps for cloud-native environments.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

Dynatrace

AUGUST 9, 2023

In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts. Attack tactics describe why an attacker performs an action, for example, to get that first foothold into your network.

Analytics 198

Analytics AWS Strategy Infrastructure 198

Dynatrace

APRIL 13, 2023

The massive volumes of log data associated with a breach have made cybersecurity forensics a complicated, costly problem to solve. As organizations adopt more cloud-native technologies, observability data—telemetry from applications and infrastructure, including logs, metrics, and traces—and security data are converging.

Analytics 187

Analytics Java Infrastructure Cloud 187

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. What is late-arriving data? Let’s dive in!

Data Engineering 264

Data Engineering Engineering Processing Games 264

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 218

Traffic AWS Network Cloud 218

Dynatrace

FEBRUARY 25, 2020

We introduced Digital Business Analytics in part one as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. A sample Digital Business Analytics dashboard. Dynatrace news.

Analytics 208

Analytics Metrics Best Practices Servers 208

Dynatrace

FEBRUARY 12, 2024

The OMB memo states that agencies must meet specific goals based on the five pillars of the Cybersecurity and Infrastructure Security Agency (CISA) Zero Trust Maturity Model : identity, devices, networks, applications/workloads, and data. A quick refresher: what is zero trust?

Government 182

Government Analytics Network Traffic 182

Dynatrace

MAY 17, 2023

That is, relying on metrics, logs, and traces to understand what software is doing and where it’s running into snags. OpenTelemetry, the open source observability tool, has emerged as an industry-standard solution for instrumenting application telemetry data to make it observable.

Metrics 182

Metrics Open Source Traffic Cache 182

Dynatrace

NOVEMBER 6, 2023

Cloud-native workloads on edge devices are gaining momentum among organizations as they extend the hybrid cloud closer to the data source and end users at the edge. The challenge of cloud-native observability at the enterprise edge In aggregate, connected devices generate huge volumes of data.

Retail 261

Retail Analytics Storage Cloud 261

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 265

Scalability Open Source Analytics Innovation 265

Dynatrace

FEBRUARY 1, 2024

To overcome these complex issues, teams must quickly find root causes among numerous alerts and metrics. Based on the topology model, detected dependencies, and thousands of events and metrics, Davis AI can pinpoint the origin of an issue. This allows you to pinpoint troubled data centers at a glance.

Infrastructure 183

Infrastructure Metrics Network Monitoring 183

Dynatrace

MAY 17, 2023

Making applications observable—relying on metrics, logs, and traces to understand what software is doing and how it’s performing—has become increasingly important as workloads are shifting to multicloud environments. We also introduced our demo app and explained how to define the metrics and traces it uses.

Metrics 173

Metrics Monitoring Database Network 173

Dynatrace

MARCH 6, 2024

Additionally, certain tools require auxiliary services to gather performance data before it can be examined and queried. It then collects performance data using existing database services running on your system. Nothing is installed on your IBM i systems. It’s all monitored remotely !

Monitoring 237

Monitoring Infrastructure Metrics Analytics 237

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

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 203

Analytics Infrastructure Efficiency Technology 203

Dynatrace

JANUARY 31, 2024

Monitoring SAP products can present challenges Monitoring SAP systems can be challenging due to the inherent complexity of using different technologies—such as ABAP, Java, and cloud offerings—and the sheer amount of generated data. SAP Basis teams have established best practices for managing their SAP systems.

Java 191

Java Analytics Best Practices Monitoring 191

Dynatrace

SEPTEMBER 8, 2022

Log management is an organization’s rules and policies for managing and enabling the creation, transmission, analysis, storage, and other tasks related to IT systems’ and applications’ log data. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events.

Systems 187

Systems Cloud Analytics DevOps 187

CSS Wizardry

JUNE 30, 2023

I never thought I’d write an article in defence of DOMContentLoaded , but here it is… For many, many years now, performance engineers have been making a concerted effort to move away from technical metrics such as Load , and toward more user-facing, UX metrics such as Speed Index or Largest Contentful Paint. Or are they…?

Metrics 326

Metrics Google Monitoring Analytics 326

Dynatrace

JANUARY 31, 2024

Removing blind spots proactively prevents security incidents and ensures that performance metrics reflect the true state of the environment. Figure 1: Host coverage overview This data is used to complete the topology in Smartscape. The new Discovery & Coverage app helps achieve these full monitoring coverage goals.

Analytics 175

Analytics Infrastructure Monitoring Cloud 175

Dynatrace

JULY 25, 2023

Davis CoPilot empowers users to effortlessly create queries, data dashboards, and data notebooks using natural language and provides coding suggestions for workflow automation, reflecting the unique attributes of each customer’s hybrid and multicloud ecosystem. This AI also triggers automated remediation actions.

Best Practices 235

Best Practices Analytics Metrics Code 235

Dynatrace

JULY 25, 2022

This new service enhances the user visibility of network details with direct delivery of Flow Logs for Transit Gateway to your desired endpoint via Amazon Simple Storage Service (S3) bucket or Amazon CloudWatch Logs. AWS Transit Gateway is a service offering from Amazon Web Services that connects network resources via a centralized hub.

AWS 220

AWS Transportation Network Traffic 220

Dynatrace

JUNE 27, 2023

Logs complement metrics and enable automation Cloud practitioners agree that observability, security, and automation go hand in hand. Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events.

AWS 201

AWS Cloud Lambda Analytics 201

Dynatrace

JUNE 5, 2023

The F5 BIG-IP Local Traffic Manager (LTM) is an application delivery controller (ADC) that ensures the availability, security, and optimal performance of network traffic flows. Manage and optimize the deployment and configuration of F5 BIG-IP appliances or virtual instances across multiple data centers or cloud environments.

Traffic 196

Traffic Virtualization Metrics Monitoring 196

Dynatrace

JUNE 6, 2023

Networking. Large-scale, multicloud deployments can introduce challenges related to network visibility and interoperability. Traditional ways of operating networks using static IPs and ports simply don’t work in dynamic Kubernetes environments. Bad actors can use misconfigurations to gain access to sensitive data.

Open Source 195

Open Source Storage Analytics Innovation 195

Dynatrace

JULY 24, 2023

Conventional data science approaches and analytics platforms can predict the correlation between an event and possible sources. Causal AI draws on supporting data, such as relationships, dependencies, and other context among network entities and events. Why is causal AI important?

Artificial Intelligence 218

Artificial Intelligence Analytics Network Metrics 218

Dynatrace

APRIL 26, 2022

Fast, consistent application delivery creates a positive user experience that can ultimately drive customer loyalty and improve business metrics like conversion rate and user retention. DEM can give organizations business observability—insight into the effects of user experience on the bottom line. What is digital experience monitoring?

Monitoring 206

Monitoring Social Media IoT Metrics 206

Scalegrid

DECEMBER 21, 2023

In today’s data-driven world, the ability to effectively monitor and manage data is of paramount importance. Redis®, a powerful in-memory data store, is no exception. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

APRIL 19, 2023

At Dynatrace Perform 2023 , Ben Rushlo, Business Insights leader at Dynatrace, and Navid Mehdiabadi, BCLC’s APM expert, discuss how the right business insights are crucial to making data-driven decisions and improving business outcomes. “It’s a journey in Dynatrace,” Rushlo said. “Our players just see the frontend.

Entertainment 159

Entertainment Analytics Healthcare Games 159

Smashing Magazine

APRIL 16, 2024

Let’s find out how to work with different types of Core Web Vitals data and how monitoring can help you gain a deeper insight into user experiences and help you optimize them. Large preview ) Largest Contentful Paint (LCP) The Largest Contentful Paint metric is the closest thing to a traditional load time measurement.

Google 105

Google Monitoring Website Speed 105

Dynatrace

FEBRUARY 16, 2023

ESG metrics are increasingly important to investors as they evaluate risk; in turn, these metrics are increasingly important to organizations because they measure and disclose their performance. The app translates utilization metrics, including CPU, memory, disk, and network I/O, into their CO2 equivalent (CO2e).

Energy 186

Energy Airlines Analytics Transportation 186

Dynatrace

JANUARY 22, 2024

While traditional AI relies on finding correlations in data, causal AI aims to determine the precise underlying mechanisms that drive events and outcomes. Most AI today uses association-based machine learning models like neural networks that find correlations and make predictions based on them. Government.

Artificial Intelligence 210

Artificial Intelligence Healthcare Retail Government 210

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace news.

AWS 136

AWS Metrics IoT Storage 136

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. To reduce your CloudWatch costs and throttling, you can now select from additional services and metrics to monitor. Get up to 300 new AWS metrics out of the box. Dynatrace news.

AWS 133

AWS Metrics IoT Storage 133

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., Anchored in the primary use case of supporting Google’s YouTube business, what we’re looking at here could well be the future of data processing at Google. Because they had too many data processing systems! ;). VLDB’19. are divided.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

JULY 11, 2023

>> Scroll down to see predictive capacity management in action (14-second video) Our recent blog post, Stay ahead of the game: Forecast IT capacity with Dynatrace Grail and Davis AI , showed how Dynatrace Notebooks are used to predict the future behavior of time series data stored in Grail™. This predicts one week into the future.

Metrics 206

Metrics Games Analytics Network 206

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce.

Analytics 191

Analytics Traffic Big Data Efficiency 191