Dynatrace

JANUARY 31, 2024

With siloed data sources, heterogeneous data types—including metrics, traces, logs, user behavior, business events, vulnerabilities, threats, lifecycle events, and more—and increasing tool sprawl, it’s next to impossible to offer users real-time access to data in a unified, contextualized view. Understanding the context.

Analytics 200

Analytics Processing Transportation Storage 200

Dynatrace

AUGUST 10, 2023

Dynatrace business events address these systemic problems, delivering real-time business observability to business and IT teams with the precision and context required to support data-driven decisions and improve business outcomes. Business data often lacks IT context, which prevents effective BizOps collaboration.

Database 233

Database Metrics Retail Analytics 233

Dynatrace

AUGUST 9, 2023

Not only are cyberattacks increasing, but they’re also becoming more sophisticated, with tools such as  WormGPT  putting generative AI technology in the hands of attackers. In this blog post, we’ll use Dynatrace Security Analytics to go threat hunting, bringing together logs, traces, metrics, and, crucially, threat alerts.

Analytics 205

Analytics AWS Strategy Infrastructure 205

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? Business analytics begins with choosing the business KPIs or tracking goals needed for a specific use case, then determining where you can capture the supporting metrics.

Analytics 182

Analytics Best Practices Metrics IoT 182

Dynatrace

SEPTEMBER 8, 2023

Dataflow overview Dynatrace ActiveGate extensions allow you to extend Dynatrace monitoring to any remote technology that exposes an interface. There are three high-level steps to set up the database business-event stream. This is a sample extension that connects to a MySQL database and pushes business events to Dynatrace.

Database 277

Database Artificial Intelligence Metrics Monitoring 277

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. In the process, they’re adopting more tools and technologies. These technologies generate a crush of observability data. Data silos.

Analytics 198

Analytics Strategy Storage Technology 198

Dynatrace

OCTOBER 4, 2022

IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. With a data and analytics approach that focuses on performance without sacrificing cost, IT pros can gain access to answers that indicate precisely which service just went down and the root cause. Event severity.

Analytics 200

Analytics Software Software Storage 200

Dynatrace

FEBRUARY 15, 2023

As organizations adopt more cloud-based technologies, the increased volume and variety of data from these ecosystems drive complexity. A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Enter a data lakehouse technology.

Analytics 130

Analytics Storage Cloud DevOps 130

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. A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device.

Analytics 218

Analytics Monitoring Artificial Intelligence DevOps 218

Dynatrace

JULY 29, 2021

The complexity of such deployments has accelerated with the adoption of emerging, open-source technologies that generate telemetry data, which is exploding in terms of volume, speed, and cardinality. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

JANUARY 12, 2022

An example of a critical event-based messaging service for many businesses is adding a product to a shopping cart. We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. Easily troubleshoot anomalies with technology-specific views. Apache Kafka.

Analytics 195

Analytics Systems DevOps Healthcare 195

Dynatrace

AUGUST 10, 2023

Dynatrace business events address these systemic problems, delivering real-time business observability to business and IT teams with the precision and context required to support data-driven decisions and improve business outcomes. In part two of this blog series, you’ll see how we approached the Database Business Events Stream solution.

Database 130

Database Metrics Retail Analytics 130

Dynatrace

FEBRUARY 16, 2023

In his keynote address on the first day of Perform 2023 in Las Vegas, Dynatrace Chief Technology Officer Bernd Greifeneder and his colleagues discussed how organizations struggle with this problem and how Dynatrace is meeting the moment. Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake.

Analytics 195

Analytics Innovation Metrics Database 195

Dynatrace

MARCH 29, 2024

The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud. This year, Google’s event will take place from April 9 to 11 in Las Vegas. Dynatrace offers essential analytics and automation to keep applications optimized and businesses flourishing.

Google 270

Google Innovation Cloud Analytics 270

Dynatrace

MARCH 11, 2020

In many cases, events are generated as these workloads go through different phases of their life cycles. For instance, events appear when the scheduler performs actions to bring workloads back to a desired state. For better or worse, every Kubernetes user learns about the CrashLoopBackOff and ImagePullBackOff events.

Metrics 229

Metrics Analytics Monitoring Cloud 229

Dynatrace

APRIL 19, 2024

Let’s explore some real-life custom solution examples that leverage the power of the Dynatrace core platform technologies to go beyond observability. These events require triage, analysis, and remediation by the owners of the affected resources. Hyperscaler security events are ingested into Grail as BizEvents.

AWS 229

AWS Analytics Cloud Monitoring 229

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.” In this example, there is a suspicious increase in scripting events.

Artificial Intelligence 195

Artificial Intelligence Analytics Efficiency Database 195

Dynatrace

APRIL 8, 2024

Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions. Mission-critical risks in banking Dynatrace brings a flexible, easy-to-implement, and vertically integrated technology solution to risk management for banks.

Analytics 210

Analytics Infrastructure Efficiency Technology 210

Dynatrace

OCTOBER 7, 2020

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. either a Static threshold or an Auto-adaptive baseline ), and define the event title and description for the resulting alert.

Metrics 246

Metrics Analytics Storage Monitoring 246

Dynatrace

DECEMBER 12, 2023

In fact, according to the recent Dynatrace survey , “The state of AI 2024,” the majority of technology leaders (83%) say AI has become mandatory. Alongside the numerous benefits, these organizations need to manage the increased risks the technology brings. This means greater productivity for individual teams.

Artificial Intelligence 214

Artificial Intelligence DevOps Analytics Strategy 214

DZone

NOVEMBER 28, 2023

Emerging technologies have brought real-time data closer to business users, which plays a critical role in effective decision-making. In data analytics, the "hot path" and "cold path" refer to two distinct processing routes for handling data.

Analytics 161

Analytics Efficiency Technology Technology 161

Dynatrace

JULY 25, 2023

Dynatrace applies these techniques to the broadest set of modalities in the market, including the data types of metrics, traces, logs, behavior, topology, dependencies, events, and more, with unmatched precision for precise predictions, accurate determinations, and meaningful insights. This AI also triggers automated remediation actions.

Best Practices 239

Best Practices Analytics Metrics Code 239

Dynatrace

NOVEMBER 20, 2023

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. It’s being recognized around the world as a transformative technology for delivering productivity gains. What is artificial intelligence?

AWS 217

AWS Artificial Intelligence Analytics Cloud 217

Dynatrace

FEBRUARY 10, 2023

According to recent Dynatrace data, 59% of CIOs say the increasing complexity of their technology stack could soon overload their teams without a more automated approach to IT operations. 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

Dynatrace

JULY 11, 2023

This enables unified observability because logs are indispensable for troubleshooting apps, monitoring infrastructure, auditing or investigating security incidents, tracking business events, and many other use cases. As an alternative, OpenTelemetry lets you extend Dynatrace technology coverage with log data.

Open Source 223

Open Source Analytics Metrics Cloud 223

Dynatrace

FEBRUARY 28, 2023

Integrating with Microsoft Sentinel adds security events to our Runtime Application Protection and provides additional data for investigation with our security analytics features using Dynatrace Query Language on Grail. Its core capabilities are the following: Runtime vulnerability analytics. Sentinel Data connectors: Attacks.

Analytics 147

Analytics Cloud Software Software 147

Dynatrace

FEBRUARY 28, 2024

The burgeoning reliance on cloud technology stacks amplifies this challenge, creating hurdles due to budgetary constraints, time limitations, and the potential risk of human errors. The Visual Resolution Path offers a chronological overview of events detected by Dynatrace across all components linked to the underlying issue.

DevOps 212

DevOps Metrics Engineering Analytics 212

Dynatrace

APRIL 21, 2022

While applications are built using a variety of technologies and frameworks, there is one thing they usually have in common: the data they work with must be stored in databases. With auto-adaptive baselining in response to the specific requirements of your environment, Davis® only raises alerts for important events. Dynatrace news.

Database 244

Database DevOps Analytics Servers 244

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Enhanced incident response.

Artificial Intelligence 269

Artificial Intelligence DevOps Analytics Engineering 269

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. Grail needs to support security data as well as business analytics data and use cases. High-performance analytics—no indexing required. So, there was a need to do something revolutionary.

Artificial Intelligence 275

Artificial Intelligence Analytics Storage Architecture 275

Dynatrace

AUGUST 21, 2023

They need to automate manual tasks, streamline processes, and invest in new technologies. 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. during 2021–2026. Reduce costs and inefficiencies.

Analytics 148

Analytics Innovation Infrastructure Scalability 148

Dynatrace

JANUARY 22, 2024

And while generative AI was much hyped in 2023, the deterministic quality of causal AI—which determines the precise root cause of an issue—is a key foundation for reliable recommendations that emerge from generative AI technologies. Further, not every business uses AI in the same way or for the same reasons.

Artificial Intelligence 216

Artificial Intelligence Healthcare Retail Government 216

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Logs provide information you can’t find anywhere else.

Cloud 262

Cloud Azure Analytics AWS 262

Dynatrace

FEBRUARY 26, 2024

The event focused on empowering and informing our valued partner ecosystems by providing updates on strategy, market opportunities, cloud modernization, and a wealth of crucial insights. Over the last year, the dedication and efforts of Dynatrace partners have laid the foundation for the significant strides we are poised to make together.

Artificial Intelligence 203

Artificial Intelligence IoT Programming Innovation 203

Dynatrace

DECEMBER 21, 2023

As organizations continue to undergo digital transformations, more and more of their business processes are dependent on increasingly complex digital technologies. In fact, most business processes still rely on multiple systems, long ago outgrowing the capabilities of built-in platform-centric monitoring.

Processing 222

Processing Monitoring Retail Analytics 222

Dynatrace

MAY 21, 2023

Log forensics—investigating security incidents based on log data—has become more challenging as organizations adopt cloud-native technologies. As a result, teams are turning to technologies such as observability to understand events in their cloud environments. In our investigation, we’ll also use DPL.

Analytics 236

Analytics Metrics Cloud Systems 236

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. However, these practices cannot stand alone.

DevOps 199

DevOps Engineering Artificial Intelligence Infrastructure 199