Dynatrace

OCTOBER 4, 2022

As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. Much of the software developed today is cloud native. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost.

Analytics 203

Analytics Software Software Storage 203

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. Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. What is log analytics?

Analytics 221

Analytics Monitoring Artificial Intelligence DevOps 221

Dynatrace

FEBRUARY 15, 2023

This complexity creates silos that affect the ability of IT, development, security, and business teams to achieve the awareness they need to make data-driven decisions. A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Development and DevOps.

Analytics 130

Analytics Storage Cloud DevOps 130

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 193

Analytics Storage Retail DevOps 193

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. The goal is to abstract away the underlying infrastructure’s complexities while providing a streamlined and standardized environment for development teams.

Engineering 251

Engineering Development DevOps Infrastructure 251

DZone

JUNE 7, 2023

ERP systems are crucial in modern software development because they integrate various organizational departments and functions. ERP systems offer standardized processes, enabling developers to accelerate development cycles and align with industry best practices.

Systems 182

Systems Software Software Development 182

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. What’s next?

Efficiency 226

Efficiency Virtualization Hardware Performance 226

Dynatrace

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Real-time detection for fast remediation.

Engineering 194

Engineering Development Infrastructure Cloud 194

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 273

Innovation AWS Analytics Storage 273

Dynatrace

NOVEMBER 20, 2024

Membership in MISA is nomination-only and reserved for independent software vendors who develop security solutions that effectively integrate with MISA-qualifying Microsoft Security products. They can automatically identify vulnerabilities, measure risks, and leverage advanced analytics and automation to mitigate issues.

Best Practices 274

Best Practices Innovation Azure Cloud 274

Dynatrace

MARCH 29, 2024

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 273

Google Innovation Cloud Analytics 273

Dynatrace

JULY 29, 2024

Organizations across industries are embracing generative AI, a technology that promises faster development and increased productivity. Our guide covers AI for effective DevSecOps, converging observability and security, and cybersecurity analytics for threat detection and response. Learn more in this blog.

Analytics 187

Analytics Government DevOps Efficiency 187

Dynatrace

MARCH 21, 2024

Dynatrace observability, security, and data analytics capabilities empower users to derive greater insights and benefits from their monitoring data, ensuring they stay ahead in their mobile monitoring environments while offering similar feature parity to Visual Studio.

Mobile 188

Mobile Monitoring Analytics IoT 188

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

Technology 228

Technology Technology Analytics Innovation 228

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 200

Software Software Analytics Big Data 200

Dynatrace

OCTOBER 23, 2024

Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Consolidate real-user monitoring, synthetic monitoring, session replay, observability, and business process analytics tools into a unified platform.

Analytics 216

Analytics Logistics IoT Mobile 216

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous.

Artificial Intelligence 198

Artificial Intelligence Analytics Efficiency Database 198

Dynatrace

DECEMBER 15, 2022

Soaring energy costs and rising inflation have created strong macroeconomic headwinds that force organizations to prioritize efficiency and cost reduction. However, organizational efficiency can’t come at the expense of innovation and growth. Observability trend no.

Artificial Intelligence 262

Artificial Intelligence Analytics Innovation Healthcare 262

Dynatrace

OCTOBER 4, 2022

Logs assist operations, security, and development teams in ensuring the reliability and performance of application environments. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues.

Analytics 233

Analytics Storage Infrastructure Metrics 233

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. They can accomplish this all while delivering transformation efficiency and economies of scale for IT functions that maintain risk management infrastructure.

Analytics 213

Analytics Infrastructure Efficiency Technology 213

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 229

Innovation Strategy Cloud AWS 229

Dynatrace

MARCH 12, 2024

Undue reliance on log files as the primary business data source adds development overhead for implementation and maintenance, further limiting agility. If you can collect the relevant data (and that’s a big if), the problem shifts to analytics.

Processing 262

Processing Monitoring Analytics C++ 262

Dynatrace

APRIL 22, 2024

In trans-Atlantic and global business relationships, the privacy frameworks and regulations in various regions must be aligned to allow efficient collaboration between enterprises and other involved institutions. DPF) was respectively developed by the U.S. Data Privacy Framework Program (The EU-U.S. DPF, UK Extension to the EU-U.S.

Government 236

Government Programming Analytics Efficiency 236

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. SREs and DevOps engineers need cloud logs in an integrated observability platform to monitor the whole software development lifecycle.

Cloud 262

Cloud Lambda AWS Analytics 262

The Netflix TechBlog

SEPTEMBER 18, 2024

Cassandra serves as the backbone for a diverse array of use cases within Netflix, ranging from user sign-ups and storing viewing histories to supporting real-time analytics and live streaming. Firstly, developers struggled to reason about consistency, durability and performance in this complex global deployment across multiple stores.

Latency 248

Latency Storage Cache Efficiency 248

The Netflix TechBlog

JUNE 20, 2024

At the conference, our speakers share their unique perspectives on modern developments, immediate challenges, and future prospects of data engineering. To handle errors efficiently, Netflix developed a rule-based classifier for error classification called “Pensive.”

Data Engineering 204

Data Engineering Engineering Entertainment Software Engineering 204

Dynatrace

NOVEMBER 18, 2024

You also need to focus on the user experience so that future toolchains are efficient, easy to use, and provide meaningful and relevant experiences to all team members. Modernizing your technology stack will improve efficiency and save the organization money over time. How do you make this happen?

Strategy 182

Strategy Innovation Cloud Efficiency 182

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 220

AWS Artificial Intelligence Cloud Analytics 220

Dynatrace

DECEMBER 13, 2023

Last year, organizations prioritized efficiency and cost reduction while facing soaring inflation. As developers continue to use generative AI-powered autonomous agents to write code, organizations will be exposed to greater risks of unexpected problems that affect customer and user experiences. Technology prediction No.

Technology 215

Technology Technology Artificial Intelligence Analytics 215

Dynatrace

MARCH 1, 2024

As part of delivering a compelling experience, it is vital that companies develop a deeper understanding of their customers. As a result, it is difficult to ensure application efficiency and ensure accurate delivery across touchpoints. This lack of end-to-end visibility leads to blind spots that impact customer satisfaction.

Analytics 202

Analytics Monitoring Website Efficiency 202

Scalegrid

JANUARY 8, 2024

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Using AI for Enhanced Cloud Operations The integration of AI in cloud computing is enhancing operational efficiency in several ways.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

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

APRIL 19, 2024

For many, the driving force behind custom solution development is today’s dynamic and rapidly evolving digital landscape, in which organizations find themselves in a race to automate repetitive tasks, drive data-backed decisions, and do more with less. Figure 3: Funnel analysis implemented by selecting a custom user journey.

AWS 233

AWS Analytics Cloud Monitoring 233

Dynatrace

APRIL 18, 2024

Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. The deep visibility and insights that observability provides allow teams to take proactive measures early in the software development life cycle (SDLC). However, these practices cannot stand alone.

DevOps 203

DevOps Engineering Artificial Intelligence Infrastructure 203

Scalegrid

AUGUST 27, 2024

Learn how RabbitMQ can boost your system’s efficiency and reliability in these practical scenarios. Understanding RabbitMQ as a Message Broker RabbitMQ is a powerful message broker that enables applications to communicate by efficiently directing messages from producers to their intended consumers.

Ecommerce 130

Ecommerce IoT Games Scalability 130

Dynatrace

NOVEMBER 7, 2023

The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures. The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world.

Engineering 285

Engineering DevOps Best Practices Infrastructure 285

Dynatrace

OCTOBER 3, 2024

Dynatrace AI increases efficiency by magnitudes and prevents alert storms. As responsibilities shift left due to the increased use of cloud-native technologies, development teams take more control over production deployments. That’s where observability from Dynatrace goes far beyond “observing systems.”

Availability 235

Availability DevOps Analytics Cloud 235