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 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

OCTOBER 4, 2022

Much of the software developed today is cloud native. However, cloud infrastructure has become increasingly complex. Further, the delivery infrastructure that makes this happen has also become complex. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost.

Analytics 187

Analytics Software Software Storage 187

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 178

Analytics Storage Retail Monitoring 178

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 179

Engineering Development Infrastructure Cloud 179

Dynatrace

FEBRUARY 2, 2023

Exploding volumes of business data promise great potential; real-time business insights and exploratory analytics can support agile investment decisions and automation driven by a shared view of measurable business goals. Traditional observability solutions don’t capture or analyze application payloads. What’s next?

Analytics 197

Analytics Metrics DevOps Storage 197

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

The Netflix TechBlog

OCTOBER 19, 2020

Now let’s look at how we designed the tracing infrastructure that powers Edgar. This insight led us to build Edgar: a distributed tracing infrastructure and user experience. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233

Dynatrace

MAY 4, 2021

Infrastructure complexity is costing enterprises money. AIOps offers an alternative to traditional infrastructure monitoring and management with end-to-end visibility and observability into IT stacks. As 69% of CIOs surveyed said, it’s time for a “radically different approach” to infrastructure monitoring.

Infrastructure 178

Infrastructure Monitoring Artificial Intelligence Cloud 178

Dynatrace

NOVEMBER 22, 2022

For organizations running their own on-premises infrastructure, these costs can be prohibitive. Cloud service providers, such as Amazon Web Services (AWS) , can offer infrastructure with five-nines availability by deploying in multiple availability zones and replicating data between regions. What is always-on infrastructure?

Infrastructure 179

Infrastructure Availability Systems Retail 179

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 176

Infrastructure Monitoring Artificial Intelligence Open Source 176

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 214

Cloud Lambda AWS Analytics 214

Dynatrace

APRIL 8, 2024

Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally. Once teams solidify infrastructure and application performance, security is the subsequent priority.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

Dynatrace

JULY 27, 2020

We introduced Dynatrace’s Digital Business Analytics in part one , as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. Only with Dynatrace Digital Busines Analytics.

Analytics 169

Analytics Artificial Intelligence Metrics Design 169

Dynatrace

MARCH 29, 2024

Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing. By seamlessly integrating observability, AI-driven insights, and data analytics, organizations can overcome common obstacles such as operational inefficiencies, performance bottlenecks, and scalability concerns.

Google 258

Google Innovation Cloud Analytics 258

Dynatrace

MARCH 18, 2024

Now, developers can build software libraries and use OpenTelemetry to add tracing and telemetry directly into them so an observability analytics backend, such as Dynatrace, can consume the data immediately. In addition, as a top contributor to the OpenTelemetry standard, Dynatrace donates bug fixes and enhancements back to the project.

Scalability 259

Scalability Open Source Analytics Innovation 259

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 184

Software Software Analytics Big Data 184

The Netflix TechBlog

MARCH 5, 2019

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

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 247

Processing Monitoring Analytics C++ 247

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. Logs assist operations, security, and development teams in ensuring the reliability and performance of application environments. Data variety is a critical issue in log management and log analytics.

Analytics 217

Analytics Storage Infrastructure Metrics 217

Dynatrace

FEBRUARY 28, 2024

Certification by an independent assessor includes an audit of the company’s information security measures, including its infrastructure, processes, and data protection practices. The certification is issued by ENX , a well-known German association, and is globally recognized 1.

Automotive 241

Automotive Infrastructure Analytics Innovation 241

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. The deep visibility and insights that observability provides allow teams to take proactive measures early in the software development life cycle (SDLC).

DevOps 187

DevOps Engineering Artificial Intelligence Infrastructure 187

Dynatrace

MARCH 6, 2024

IBM i, formerly known as iSeries, is an operating system developed by IBM for its line of IBM i Power Systems servers. It also includes various built-in software components for database management, security, and application development. What is IBM i? Gaining knowledge about IBM i performance can be a challenging and pricey task.

Monitoring 231

Monitoring Infrastructure Metrics Analytics 231

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.”

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

Dynatrace

JANUARY 31, 2024

SAP HANA server infrastructure monitored with OneAgent. Dynatrace helps teams run every part of an IT environment effectively and achieve a comprehensive perspective of IT and business performance by merging infrastructure, systems, and app KPIs with SAP KPIs. The same SAP HANA server internals are monitored with PowerConnect.

Java 185

Java Analytics Best Practices Monitoring 185

Dynatrace

JANUARY 31, 2024

Foundation & Discovery enables customers to extend in-depth visibility into tier 2 and tier 3 applications, allowing IT teams to maintain robust oversight without incurring prohibitive additional costs for broad Full-Stack or Infrastructure Monitoring mode deployments.

Analytics 170

Analytics Infrastructure Monitoring Cloud 170

Dynatrace

APRIL 28, 2023

Use buckets for any use case in a secure way When using Log Management and Analytics or Business Analytics with Grail, you can create custom buckets with specified data-retention periods. App developers might need to logs from their environment for debugging purposes, but only for a specific timeframe.

Analytics 210

Analytics Storage Infrastructure Metrics 210

Dynatrace

FEBRUARY 9, 2021

As an application owner, product manager, or marketer, however, you might use analytics tools like Adobe Analytics to understand user behavior, user segmentation, and strategic business metrics such as revenue, orders, and conversion goals. In the screenshot below you can see an example of such a request attribute. a technical issue).

Analytics 137

Analytics Mobile Airlines Monitoring 137

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. Platform engineering best practices for delivering a highly available, secure, and resilient Internal Development Platform: Centralize and standardize.

Engineering 270

Engineering DevOps Best Practices Infrastructure 270

Dynatrace

MARCH 20, 2024

During the development stage, vulnerabilities can arise when developers use third-party open-source code or make an error in application logic. This process may involve behavioral analytics; real-time monitoring of network traffic, user activity, and system logs; and threat intelligence.

Monitoring 208

Monitoring Analytics Traffic Best Practices 208

Dynatrace

AUGUST 21, 2023

Traditional log management solution challenges Survey data suggests that teams need a modern approach to log management and analytics, which requires a unified log management solution. Organizations can be more agile when they have access to real-time data about their IT infrastructure. during 2021–2026.

Analytics 144

Analytics Innovation Infrastructure Scalability 144

Dynatrace

SEPTEMBER 13, 2023

Citrix is critical infrastructure For businesses operating in industries with strict regulations, such as healthcare, banking, or government, Citrix virtual apps and virtual desktops are essential for simplified infrastructure management, secure application delivery, and compliance requirements.

Monitoring 217

Monitoring Healthcare Infrastructure Metrics 217

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 272

Efficiency Performance Analytics DevOps 272

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

Official Blog - World Web Technology

MARCH 4, 2024

“Automatic,” the website development company behind various WordPress-related products, including WordPress.com, offers WordPress VIP. WordPress website development is mainly used for those belonging to institutions with demanding online needs. These institutions include publishers, media organizations, large enterprises, and others.

Website 59

Website Development Education Traffic 59

Dynatrace

NOVEMBER 20, 2023

How this data-driven technique gives foresight to IT teams – blog By analyzing patterns and trends, predictive analytics enables teams to take proactive actions to prevent problems or capitalize on opportunities. A modern observability platform enables teams to gain the benefits of cloud infrastructure while retaining visibility.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

AUGUST 25, 2023

It makes them available for a log analytics platform to gain automated, contextual, and actionable insights into the services and underlying platforms. Logs can then be located in the Kubernetes entity model on the Dynatrace platform, enhancing the observability of your infrastructure and workloads.

Serverless 219

Serverless Analytics AWS Azure 219

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency.

Artificial Intelligence 179

Artificial Intelligence DevOps Strategy Open Source 179