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 204

Analytics Software Software Storage 204

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 227

Analytics Storage Retail DevOps 227

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 276

Architecture Efficiency Energy Monitoring 276

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 194

Analytics Storage Retail DevOps 194

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 222

Analytics Monitoring Artificial Intelligence DevOps 222

DZone

NOVEMBER 27, 2023

An open-source distributed SQL query engine, Trino is widely used for data analytics on distributed data storage. Optimizing Trino to make it faster can help organizations achieve quicker insights and better user experiences, as well as cut costs and improve infrastructure efficiency and scalability. But how do we do that?

Tuning 162

Tuning Speed Performance Open Source 162

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 188

Analytics Ecommerce Metrics Innovation 188

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. Logs on Grail Log data is foundational for any IT analytics.

Analytics 199

Analytics Innovation Metrics Database 199

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 150

Cloud Azure Artificial Intelligence Innovation 150

DZone

SEPTEMBER 18, 2023

For more: Read the Report Artificial intelligence (AI) has revolutionized the realm of software testing, introducing new possibilities and efficiencies. The demand for faster, more reliable, and efficient testing processes has grown exponentially with the increasing complexity of modern applications.

Artificial Intelligence 279

Artificial Intelligence Software Software Testing 279

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. This resulted in significant savings and much faster ROI.

Technology 229

Technology Technology Analytics Innovation 229

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed.

Analytics 214

Analytics Infrastructure Efficiency Technology 214

Dynatrace

JULY 29, 2024

Our guide covers AI for effective DevSecOps, converging observability and security, and cybersecurity analytics for threat detection and response. AI is also crucial for securing data privacy, as it can more efficiently detect patterns, anomalies, and indicators of compromise. Learn more in this blog.

Analytics 188

Analytics Government DevOps Efficiency 188

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. Support diverse analytics workloads. What is a data lakehouse? Data management.

Artificial Intelligence 222

Artificial Intelligence Storage Analytics Government 222

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 234

Analytics Storage Infrastructure Metrics 234

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 201

Software Software Analytics Big Data 201

Dynatrace

OCTOBER 17, 2023

AI can help automate tasks, improve efficiency, and identify potential problems before they occur. Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. IT automation also helps improve operational efficiency by automating repetitive tasks.

Monitoring 239

Monitoring Artificial Intelligence Performance Analytics 239

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. The result?

Innovation 230

Innovation Strategy Cloud AWS 230

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors.

Artificial Intelligence 199

Artificial Intelligence Analytics Efficiency Database 199

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 278

Artificial Intelligence Analytics Storage Architecture 278

DZone

NOVEMBER 20, 2023

ETL—Extract, Transform, Load—is far more than a set of operations; it's a complex dance that transforms raw data into valuable insights, serving as the critical backbone for a range of applications, from data analytics and business intelligence to real-time decision-making platforms. It’s a multidimensional answer that goes beyond speed.

Processing 124

Processing Performance Analytics Speed 124

DZone

NOVEMBER 16, 2023

What's Different About Data Analytics in Live Streaming? Live streaming is one typical use case for real-time data analysis because it stresses speed. To realize that requires high efficiency in every step of data processing: As live streaming emerges as a way of doing business, the need for data analysis follows up.

Analytics 124

Analytics Speed Efficiency Processing 124

Dynatrace

NOVEMBER 7, 2023

Provide self-service platform services with dedicated UI for development teams to improve developer experience and increase speed of delivery. In this context, Dynatrace is an integral component of a centralized Kubernetes management console, contributing to enhanced observability, efficient cluster management, and robust alerting.

Engineering 286

Engineering DevOps Best Practices Infrastructure 286

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage. What is explainable AI?

Performance 199

Performance DevOps Innovation Artificial Intelligence 199

All Things Distributed

APRIL 13, 2023

The VP of database, analytics and machine learning services at AWS, Swami Sivasubramanian, walks me through the broad landscape of generative AI, what we’re doing at Amazon to make large language and foundation models more accessible, and how custom silicon can help to bring down costs, speed up training, and increase energy efficiency for our customers. (..)

Energy 139

Energy AWS Analytics Speed 139

Dynatrace

NOVEMBER 6, 2023

This massive migration is critical to organizations’ digital transformation , placing cloud technology front and center and elevating the need for greater visibility, efficiency, and scalability delivered by a unified observability and security platform. The speed of change is only going to accelerate, thus requiring more innovation.

Azure 184

Azure Technology Technology Cloud 184

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. What is predictive AI?

AWS 221

AWS Artificial Intelligence Cloud Analytics 221

Dynatrace

JUNE 14, 2023

And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success. Organizations are evacuating data centers and going towards the cost, speed, and capability advantages that they can get from the cloud.

Programming 193

Programming Best Practices Innovation Analytics 193

Dynatrace

OCTOBER 19, 2023

Assuming the responsibility and taking the initiative to instill effective cybersecurity practices now will yield benefits in terms of enhanced productivity and efficiency for your organization in the future. DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps.

Best Practices 222

Best Practices Speed Benchmarking Infrastructure 222

Dynatrace

SEPTEMBER 23, 2022

Log management and analytics have become a particular challenge. First, if organizations want to drive greater innovation and efficiency, they need to shift. A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse.

Cloud 189

Cloud Artificial Intelligence Innovation Architecture 189

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

AUGUST 28, 2023

While digital experience has many facets, transaction speed usually ranks among the most important. From first to lasting impressions But there’s more to digital experience than speed. This is typically the first thing that comes to mind for IT professionals working in the retail industry when evaluating holiday readiness.

Retail 216

Retail Logistics Innovation Analytics 216

Dynatrace

DECEMBER 12, 2023

And now, it has become integral to organizations’ efforts to drive efficiency and improve productivity. For example, nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed software development. Artificial intelligence (AI) has revolutionized the business and IT landscape.

Artificial Intelligence 218

Artificial Intelligence DevOps Analytics Strategy 218

Dynatrace

OCTOBER 6, 2023

This improves query speeds and reduces related costs for all other teams and apps. If your typical queries only target a specific use case, business unit, or production stage, ensuring they don’t include unrelated buckets helps maintain efficiency and relevance. Custom buckets unlock different retention periods.

Artificial Intelligence 270

Artificial Intelligence Analytics Metrics Storage 270

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. Observability is not only about measuring performance and speed, but also about capturing granular business analytics to support data-driven decision-making.

Engineering 251

Engineering Development DevOps Infrastructure 251

Dynatrace

SEPTEMBER 23, 2022

Log management and log analytics have become a particular challenge. First, if organizations want to drive greater innovation and efficiency, they need to shift. A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse.

Cloud 147

Cloud Artificial Intelligence Innovation Architecture 147

Dynatrace

OCTOBER 16, 2024

Our latest enhancements to the Dynatrace Dashboards and Notebooks apps make learning DQL optional in your day-to-day work, speeding up your troubleshooting and optimization tasks. This app provides advanced analytics, such as highlighting related surrounding traces and pinpointing the root cause, as illustrated in the example below.

Social Media 206

Social Media Metrics Network Analytics 206