Dynatrace

NOVEMBER 18, 2024

Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies. The Dynatrace and Microsoft partnership provides innovative solutions that enhance customer experience, improve efficiency, and generate considerable savings.

Cloud 263

Cloud Azure Artificial Intelligence Innovation 263

Dynatrace

APRIL 15, 2025

Dynatrace Business Flow simplifies business process observability, connecting top-level process KPIs with detailed flow analytics. With this update, Davis AI can track and alert on KPI threshold violations to assure end-to-end process efficiency and reliability. This can be any user-defined metric extracted from process instances.

Processing 217

Processing Analytics C++ Metrics 217

Dynatrace

JANUARY 21, 2025

Chances are, youre a seasoned expert who visualizes meticulously identified key metrics across several sophisticated charts. This is where Davis AI for exploratory analytics can make all the difference. This ensures optimal resource utilization and cost efficiency.

Traffic 262

Traffic Metrics Analytics Monitoring 262

Dynatrace

OCTOBER 16, 2024

You can now: Kickstart your creation journey using ready-made dashboards Accelerate your data exploration with seamless integration between apps Start from scratch with the new Explore interface Search for known metrics from anywhere Let’s look at each of these paths through an end-to-end use case focused on Kubernetes monitoring.

Social Media 263

Social Media Metrics Network Analytics 263

Dynatrace

NOVEMBER 20, 2024

They can automatically identify vulnerabilities, measure risks, and leverage advanced analytics and automation to mitigate issues. Using high-fidelity metrics, traces, logs, and user data mapped to a unified entity model, organizations enjoy enhanced automation and broader, deeper security insights into modern cloud environments.

Best Practices 299

Best Practices Innovation Azure Cloud 299

Dynatrace

JUNE 26, 2024

This is where observability analytics can help. What is observability analytics? Observability analytics enables users to gain new insights into traditional telemetry data such as logs, metrics, and traces by allowing users to dynamically query any data captured and to deliver actionable insights.

Analytics 246

Analytics Infrastructure Metrics Efficiency 246

Dynatrace

MARCH 5, 2025

To continue down the carbon reduction path, IT leaders must drive carbon optimization initiatives into the hands of IT operations teams, arming them with the tools needed to support analytics and optimization. We implemented a wasted energy metric in the app to enhance practitioner actionability.

Energy 223

Energy Analytics Traffic Cloud 223

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

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

SEPTEMBER 30, 2022

Leveraging business analytics tools helps ensure their experience is zero-friction–a critical facet of business success. How do business analytics tools work? IT teams have traditionally relied on internal metrics to estimate business impact. While analytics are one challenge, there remains another: silos.

Analytics 244

Analytics Best Practices Metrics IoT 244

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

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

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

FEBRUARY 15, 2023

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. With Dynatrace and Smartscape for DQL, metrics are a completely different game.

Analytics 264

Analytics Social Media Metrics Design 264

Dynatrace

APRIL 9, 2025

Starting in May, selected customers will get to experience all the latest Dynatrace platform features, including the Grail data lakehouse, Davis AI, and unrivaled log analytics, on Google Cloud. Thats why Dynatrace will make its AI-powered, unified observability platform generally available on Google Cloud for all customers later this year.

Google 195

Google Cloud Analytics Infrastructure 195

Dynatrace

JANUARY 22, 2025

This awareness allows teams to allocate and scale resources more effectively, reducing costs while ensuring CI/CD pipelines operate smoothly and efficiently. This data covers all aspects of CI/CD activity, from workflow executions to runner performance and cost metrics.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

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. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams. What is observability?

Metrics 363

Metrics Open Source Monitoring Cloud 363

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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

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. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

Dynatrace

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. To measure service quality, IT teams monitor infrastructure, applications, and user experience metrics, which in turn often support service level objectives (SLO)s. What is business analytics?

Analytics 245

Analytics Ecommerce Metrics Innovation 245

Dynatrace

MARCH 11, 2025

The Dynatrace platform now enables comprehensive data exploration and interactive analytics across data sets (trace, logs, events, and metrics)empowering you to solve complex use cases, handle any observability scenario, and gain unprecedented visibility into your systems.

Games 165

Games Analytics Innovation Metrics 165

Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. The only way to address these challenges is through observability data — logs, metrics, and traces. The next frontier: Data and analytics-centric software intelligence.

Analytics 246

Analytics Software Software Storage 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

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

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. 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.

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

MAY 20, 2020

Dynatrace collects a huge number of metrics for each OneAgent-monitored host in your environment. Depending on the types of technologies you’re running on individual hosts, the average number of metrics is about 500 per computational node. Running metric queries on a subset of entities for live monitoring and system overviews.

Metrics 246

Metrics Operating System Tuning Availability 246

Dynatrace

APRIL 10, 2025

However, when working with Kubernetes, its distributed and ephemeral nature means that logs are scattered across multiple nodes and pods, making it difficult to ensure that all logs are preserved, easily accessible, and enriched with necessary context for future analytics. Flexibly choose the level of observability you need.

Analytics 147

Analytics Metrics Monitoring Open Source 147

The Netflix TechBlog

FEBRUARY 14, 2025

Analytical Insights Additionally, impression history offers insightful information for addressing a number of platform-related analytics queries. We accomplish this by gathering detailed column-level metrics that offer insights into the state and quality of each impression.

Tuning 166

Tuning Latency Efficiency Storage 166

Dynatrace

MARCH 29, 2023

With this Google Cloud Ready integration, Dynatrace ensures that AlloyDB for PostgreSQL users can now ingest metrics along with existing Google Cloud data. The post Dynatrace announces support of Google Cloud’s AlloyDB for PostgreSQL metrics ingest appeared first on Dynatrace news.

Google 246

Google Metrics Cloud Analytics 246

Scalegrid

FEBRUARY 6, 2025

Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. Kafka scales efficiently for large data workloads, while RabbitMQ provides strong message durability and precise control over message delivery. What is RabbitMQ?

Latency 147

Latency Analytics Architecture Storage 147

Dynatrace

JANUARY 11, 2023

To stay competitive in an increasingly digital landscape, organizations seek easier access to business analytics data from IT to make better business decisions faster. Five constraints that limit insights from business analytics data. Teams derive business metrics from many sources. Data silos.

Analytics 246

Analytics Strategy Storage Technology 246

Dynatrace

DECEMBER 5, 2023

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Energy efficiency and carbon footprint outshine x86 architectures The first clear benefit of ARM in the enterprise IT landscape is energy efficiency.

Architecture 290

Architecture Efficiency Energy Monitoring 290

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.

Analytics 245

Analytics Artificial Intelligence Engineering Technology 245

Dynatrace

APRIL 4, 2025

Thanks to its structured and binary format, Journald is quick and efficient. 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.

Analytics 147

Analytics Operating System Scalability Infrastructure 147

Dynatrace

FEBRUARY 6, 2025

Even if infrastructure metrics aren’t your thing, you’re welcome to join us on this creative journey simply swap out the suggested metrics for ones that interest you. For our example dashboard, we’ll only focus on some selected key infrastructure metrics. Click on Select metric. Change it now to sum.

Metrics 243

Metrics Infrastructure Monitoring Best Practices 243