Dynatrace

JUNE 10, 2024

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Fortunately, CISOs can use security analytics to improve visibility of complex environments and enable proactive protection. What is security analytics? Why is security analytics important?

Analytics 264

Analytics Network Open Source Hardware 264

Dynatrace

DECEMBER 2, 2024

Part of the problem is technologies like cloud computing, microservices, and containerization have added layers of complexity into the mix, making it significantly more challenging to monitor and secure applications efficiently. Learn more about how you can consolidate your IT tools and visibility to drive efficiency and enable your teams.

Artificial Intelligence 258

Artificial Intelligence DevOps Architecture Cloud 258

Dynatrace

JANUARY 17, 2023

Second, embracing the complexity of OpenTelemetry signal collection must come with a guaranteed payoff: gaining analytical insights and causal relationships that improve business performance. The missed SLO can be analytically explored and improved using Davis insights on an out-of-the-box Kubernetes workload overview.

Analytics 321

Analytics Metrics Open Source Java 321

Dynatrace

OCTOBER 29, 2024

The Dynatrace platform automatically captures and maps metrics, logs, traces, events, user experience data, and security signals into a single datastore, performing contextual analytics through a “power of three AI”—combining causal, predictive, and generative AI. What’s behind it all?

Innovation 288

Innovation Cloud Strategy AWS 288

Dynatrace

OCTOBER 30, 2023

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

Dynatrace

FEBRUARY 10, 2023

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. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

JANUARY 21, 2025

This is where Davis AI for exploratory analytics can make all the difference. The following example will monitor an end-to-end order flow utilizing business events displayed on a Dynatrace dashboard. This ensures optimal resource utilization and cost efficiency.

Traffic 262

Traffic Metrics Analytics Monitoring 262

Scalegrid

FEBRUARY 6, 2025

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. What is RabbitMQ? What is Apache Kafka?

Latency 147

Latency Analytics Architecture Storage 147

The Netflix TechBlog

FEBRUARY 14, 2025

Analytical Insights Additionally, impression history offers insightful information for addressing a number of platform-related analytics queries. Collecting Raw Impression Events As Netflix members explore our platform, their interactions with the user interface spark a vast array of raw events.

Tuning 166

Tuning Latency Efficiency Storage 166

Dynatrace

NOVEMBER 27, 2024

Costs and their origin are transparent, and teams are fully accountable for the efficient usage of cloud resources. Our comprehensive suite of tools ensures that you can extract maximum value from your billing data, efficiently turning insights into action. Figure 4: Set up an anomaly detector for peak cost events.

Best Practices 246

Best Practices Strategy Cloud Efficiency 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 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

JANUARY 22, 2025

That’s where Dynatrace business events and automation workflows come into play to provide a comprehensive view of your CI/CD pipelines. This awareness allows teams to allocate and scale resources more effectively, reducing costs while ensuring CI/CD pipelines operate smoothly and efficiently.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. 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.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

OCTOBER 16, 2024

This app provides advanced analytics, such as highlighting related surrounding traces and pinpointing the root cause, as illustrated in the example below. This efficient method allows you to easily browse and identify the appropriate metrics; adding them to your notebooks and dashboards requires just a single click.

Social Media 263

Social Media Metrics Network Analytics 263

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

JANUARY 15, 2025

Here’s how Dynatrace can help automate up to 80% of technical tasks required to manage compliance and resilience: Understand the complexity of IT systems in real time Proactively prevent, prioritize, and efficiently manage performance and security incidents Automate manual and routine tasks to increase your productivity 1.

Systems 264

Systems DevOps Analytics Monitoring 264

Dynatrace

AUGUST 29, 2024

In today’s data-driven world, businesses across various industry verticals increasingly leverage the Internet of Things (IoT) to drive efficiency and innovation. Mining and public transportation organizations commonly rely on IoT to monitor vehicle status and performance and ensure fuel efficiency and operational safety.

IoT 264

IoT Analytics Transportation Metrics 264

Dynatrace

SEPTEMBER 8, 2023

There are three high-level steps to set up the database business-event stream. Step-by-step: Set up a custom MySQL database extension Now we’ll show you step-by-step how to create a custom MySQL database extension for querying and pushing business data to the Dynatrace business events endpoint. Don’t rename the file.

Database 290

Database Artificial Intelligence Metrics Monitoring 290

Dynatrace

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. But what is business analytics exactly, and how can you feed it with reliable data that ties IT metrics to business outcomes? What is business analytics? Why business analytics matter.

Analytics 245

Analytics Ecommerce Metrics Innovation 245

Dynatrace

JANUARY 31, 2024

With siloed data sources, heterogeneous data types—including metrics, traces, logs, user behavior, business events, vulnerabilities, threats, lifecycle events, and more—and increasing tool sprawl, it’s next to impossible to offer users real-time access to data in a unified, contextualized view. Understanding the context.

Analytics 272

Analytics Processing Transportation Storage 272

Dynatrace

FEBRUARY 24, 2025

Theyre often categorized by their function; core processes directly create customer value, support processes increase departmental efficiency, and management processes drive strategic goals and compliance. These benefits come from robust process analytics, often augmented by AI.

Processing 147

Processing Analytics Infrastructure Monitoring 147

Dynatrace

FEBRUARY 12, 2024

With unified observability and security, organizations can protect their data and avoid tool sprawl with a single platform that delivers AI-driven analytics and intelligent automation. Grail handles data storage, data management, and processes data at massive speed, scale, and cost efficiency,” Singh said. This is Davis CoPilot.

Analytics 245

Analytics Artificial Intelligence Engineering Technology 245

Dynatrace

OCTOBER 23, 2023

This leads to a more efficient and streamlined experience for users. Lastly, monitoring and maintaining system health within a virtual environment, which includes efficient troubleshooting and issue resolution, can pose a significant challenge for IT teams. Dynatrace is a platform that satisfies all these criteria.

Efficiency 264

Efficiency Virtualization Hardware Performance 264

Dynatrace

JULY 24, 2023

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. They need event-driven automation that not only responds to events and triggers but also analyzes and interprets the context to deliver precise and proactive actions.

DevOps 246

DevOps Traffic Efficiency Servers 246

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Grail and DQL will give you new superpowers.”

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

SEPTEMBER 5, 2024

These developments open up new use cases, allowing Dynatrace customers to harness even more data for comprehensive AI-driven insights, faster troubleshooting, and improved operational efficiency. Customers have had a positive response to our native syslog implementation, noting its easy setup and efficiency.

Innovation 290

Innovation AWS Analytics Storage 290

Dynatrace

OCTOBER 4, 2022

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Data variety is a critical issue in log management and log analytics. The advantage of an index-free system in log analytics and log management.

Analytics 264

Analytics Storage Infrastructure Metrics 264

DZone

FEBRUARY 5, 2024

Logs can include a wide variety of data, including system events, transaction data, user activities, web browser logs, errors, and performance metrics. One of the latest advancements in effectively analyzing a large amount of logging data is Machine Learning (ML) powered analytics provided by Amazon CloudWatch.

Analytics 278

Analytics Innovation Strategy Efficiency 278

Dynatrace

SEPTEMBER 8, 2022

In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. Event logging and software tracing help application developers and operations teams understand what’s happening throughout their application flow and system.

Cloud 260

Cloud Systems Analytics DevOps 260

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

MARCH 12, 2024

If you can collect the relevant data (and that’s a big if), the problem shifts to analytics. Connecting data from different systems, stitching process steps together, calculating delays between steps, alerting on business exceptions and technical issues, and tracking SLOs are just some of the requirements for an effective analytics solution.

Processing 279

Processing Monitoring Analytics C++ 279

Dynatrace

MAY 16, 2019

My previous blog post, Efficiently filter problem notifications with alerting profiles , described usage of alerting profiles and the use cases for which they can be implemented. By adding a more fine-grained filter for process crash event types, you can now focus on all problems that only contain a process crash.

Analytics 153

Analytics Availability Efficiency Processing 153

Dynatrace

MARCH 29, 2024

This year, Google’s event will take place from April 9 to 11 in Las Vegas. Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. AI innovation elevates efficiency and performance of Google Cloud AI adoption is increasingly critical for any organization.

Google 290

Google Innovation Cloud Analytics 290

Dynatrace

MAY 24, 2024

With the insights they gained, the team expanded into developing workflow automations using log management and analytics powered by the Grail data lakehouse. As a result, Ally is driving a new level of operational efficiency and saving millions in annual licensing costs. “We This resulted in significant savings and much faster ROI.

Technology 264

Technology Technology Analytics Innovation 264

Dynatrace

OCTOBER 4, 2022

Grail needs to support security data as well as business analytics data and use cases. With that in mind, Grail needs to achieve three main goals with minimal impact to cost: Cope with and manage an enormous amount of data —both on ingest and analytics. High-performance analytics—no indexing required.

Artificial Intelligence 290

Artificial Intelligence Analytics Storage Architecture 290

Dynatrace

JULY 29, 2024

Security analysts are drowning, with 70% of security events left unexplored , crucial months or even years can pass before breaches are understood. After a security event, many organizations often don’t know for months—or even years—when, why, or how it happened. They also need to recognize that not all AI is created equal.

Analytics 245

Analytics Government DevOps Efficiency 245