Dynatrace

AUGUST 9, 2023

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. Additionally, Runtime Application Protection provides the ability to protect from attacks while giving development teams much-needed time to remediate these vulnerabilities.

Analytics 226

Analytics Metrics Database Storage 226

Dynatrace

JUNE 28, 2022

Although most organizations invest in innovative mobile app development, not many allocate enough resources toward delivering and measuring the high-quality user experiences customers expect. Learn how one Dynatrace customer leveraged mobile analytics to ensure a crash-free, five-star mobile application.

Mobile 220

Mobile Analytics Best Practices Software Engineering 220

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. Configuration as code is easy to use, update, and understand.

Engineering 190

Engineering Development Infrastructure Cloud 190

Dynatrace

DECEMBER 16, 2022

Software should forward innovation and drive better business outcomes. Conversely, an open platform can promote interoperability and innovation. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia. Data supports this need for organizations to flex and modernize.

Innovation 206

Innovation Software Software Cloud 206

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 200

Analytics Software Software Storage 200

Dynatrace

JULY 29, 2021

With extended contextual analytics and AIOps for open observability, Dynatrace now provides you with deep insights into every entity in your IT landscape, enabling you to seamlessly integrate metrics, logs, and traces—the three pillars of observability. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

MAY 23, 2024

Azure Native Dynatrace Service allows easy access to new Dynatrace platform innovations Dynatrace has long offered deep integration into Azure and Azure Marketplace with its Azure Native Dynatrace Service, developed in collaboration with Microsoft. There’s no need for configuration or setup of any infrastructure.

Azure 225

Azure Cloud Metrics Innovation 225

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. The ability to scale testing as part of the software development lifecycle (SDLC) has proven difficult.

Monitoring 210

Monitoring Software Software DevOps 210

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 196

Software Software Analytics Big Data 196

Dynatrace

NOVEMBER 22, 2021

These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor. These challenges make AWS observability a key practice for building and monitoring cloud-native applications. AWS monitoring best practices. What is AWS observability?

Best Practices 220

Best Practices AWS Monitoring Serverless 220

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 284

Efficiency Performance Analytics DevOps 284

Scalegrid

JANUARY 11, 2024

Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. The automatic nature also allows for quick response times in addressing any identified security concerns making it an ideal solution for effective cloud security monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

DECEMBER 15, 2022

However, organizational efficiency can’t come at the expense of innovation and growth. As a result, teams can accelerate the pace of digital transformation and innovation instead of cutting back. This will negate efficiency gains and hinder efforts to automate business, development, security, and operations processes.

Artificial Intelligence 259

Artificial Intelligence Analytics Innovation Healthcare 259

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. So, what is artificial intelligence? What is predictive AI? What is AIOps?

AWS 217

AWS Artificial Intelligence Analytics Cloud 217

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.

Infrastructure 185

Infrastructure Monitoring Artificial Intelligence Open Source 185

Dynatrace

FEBRUARY 28, 2024

The assessment verified that the cybersecurity management system developed for Dynatrace incorporates regular testing, monitoring, and maintenance of the entire system. Dynatrace, with TISAX certification, provides automotive industry customers and their suppliers with the assurance they need.

Automotive 254

Automotive Infrastructure Analytics Innovation 254

Dynatrace

APRIL 8, 2024

In summary, the Dynatrace platform enables banks to do the following: Capture any data type: logs, metrics, traces, topology, behavior, code, metadata, network, security, web, and real-user monitoring data, and business events. Resilient, high-performing technology ecosystems that accelerate innovation through faster development cycles.

Analytics 210

Analytics Infrastructure Efficiency Technology 210

Dynatrace

MAY 4, 2021

AIOps offers an alternative to traditional infrastructure monitoring and management with end-to-end visibility and observability into IT stacks. But increasing complexity and lacking visibility creates a problem: Enterprises invest more resources into monitoring and don’t get the data and answers they need.

Infrastructure 190

Infrastructure Monitoring Artificial Intelligence Cloud 190

Dynatrace

AUGUST 21, 2023

A traditional log management solution uses an often manual and siloed approach, which limits scalability and ultimately hinders organizational innovation. To stay ahead of the curve, organizations should focus on strategic, proactive innovation and optimization. Free IT teams to focus on and support product innovation.

Analytics 148

Analytics Innovation Infrastructure Scalability 148

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Simplify error analytics. Dynatrace news. Optimize timing hotspots.

Serverless 241

Serverless Azure Monitoring Lambda 241

Dynatrace

FEBRUARY 16, 2023

You have to get automation and analytical capabilities.” Traditional cloud monitoring methods can no longer scale to meet organizations’ demands, as multicloud architectures continue to expand. IT teams can resort to playing defense, fighting daily fires rather than focusing on more important tasks, like innovation.

Artificial Intelligence 203

Artificial Intelligence Analytics Cloud Innovation 203

Dynatrace

FEBRUARY 16, 2023

As organizations strive to digitally transform, innovate, and grow in today’s fast-paced environment, they have increasingly turned to cloud technologies to enable business goals. A holistic, unified approach to extracting analytics at scale is necessary to keep pace with digital transformation. They also need to eliminate data silos.

Analytics 179

Analytics Innovation Cloud Scalability 179

Dynatrace

SEPTEMBER 21, 2023

The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing. Given the benefits of these innovations, organizations can’t afford to pull back on their efforts to build AI and shift more workloads to the cloud.  That’s why we developed Carbon Impact.

Energy 242

Energy Cloud Airlines Strategy 242

Dynatrace

JUNE 6, 2023

This complexity has surfaced seven top Kubernetes challenges that strain engineering teams and ultimately slow the pace of innovation. Comprehensive platform solutions that provide full-stack monitoring with AI at their core can automatically detect anomalies and provide root-cause analysis to prevent future issues. What is Kubernetes?

Open Source 201

Open Source Storage Analytics Innovation 201

Dynatrace

NOVEMBER 5, 2023

Indeed, AI is revolutionizing our world, driving rapid innovation, and transforming how we engage with technology personally and professionally. 1 At this year’s Microsoft Ignite 2023, taking place in Seattle on November 14-17, attendees will explore the potential of AI to drive innovation and thrive in this new digital-centric era.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. AI-enabled chatbots can help service teams triage customer issues more efficiently.

Performance 195

Performance DevOps Innovation Artificial Intelligence 195

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 282

Engineering DevOps Best Practices Infrastructure 282

Dynatrace

JUNE 20, 2023

More development teams across enterprises are adopting new mobile UI frameworks, namely SwiftUI,NET MAUI, and Android’s latest toolkit, Jetpack Compose. This allows developers to focus more of their efforts on innovation and delivering the best user experience to their customers.

Mobile 272

Mobile Monitoring Entertainment Innovation 272

Dynatrace

JUNE 14, 2023

And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success. We know that meaningful results are achieved when customer experience is optimized by our partners, and this year, Dynatrace has developed new avenues to help promote this.

Programming 189

Programming Analytics Innovation Best Practices 189

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. Comprehensive observability is also essential for digital experience monitoring (DEM). Dynatrace news. Why full-stack observability matters. See observability in action!

DevOps 238

DevOps Innovation Infrastructure Analytics 238

Scalegrid

JANUARY 8, 2024

The partnership between AI and cloud computing brings about transformative trends like enhanced security through intelligent threat detection, real-time analytics, personalization, and the implementation of edge computing for quicker on-site decision-making. Key among these trends is the emphasis on security and intelligent analytics.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. Just one command instruments your entire application environment for monitoring.

Analytics 161

Analytics Technology Technology Cloud 161

Dynatrace

OCTOBER 1, 2021

Many organizations also adopt an observability solution to help them detect and analyze the significance of events to their operations, software development life cycles, application security, and end-user experiences. What is the difference between monitoring and observability? Is observability really monitoring by another name?

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. The latest Amazon Lambda innovation, Lambda SnapStart, has day one support from Dynatrace. Simplify error analytics.

Lambda 232

Lambda AWS Serverless Latency 232

Dynatrace

FEBRUARY 13, 2020

Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.

Performance 245

Performance Analytics Mobile Innovation 245

Dynatrace

AUGUST 28, 2023

How Dynatrace can help Recent platform innovations have made monitoring end-to-end business processes such as order fulfillment easier. Business data must be easy to access without modifying code to reduce the burden on development and maintenance resources. Consider these requirements for effective business observability.

Retail 211

Retail Logistics Innovation Analytics 211

Dynatrace

SEPTEMBER 22, 2021

This acronym can stand for application performance monitoring or application performance management — two distinct but related concepts. Application performance monitoring. Application performance monitoring involves tracking key software application performance metrics using monitoring software and telemetry data.

Innovation 214

Innovation Open Source Monitoring Infrastructure 214