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Metadata enrichment improves collaboration and increases analytic value. The Dynatrace® platform continues to increase the value of your data — broadening and simplifying real-time access, enriching context, and delivering insightful, AI-augmented analytics. Our Business Analytics solution is a prominent beneficiary of this commitment.
This article is the second in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. To better guide the design and budgeting of future campaigns, we are developing an Incremental Return on Investment model.
This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation. By automating OneAgent deployment at the image creation stage, organizations can immediately equip every EC2 instance with real-time monitoring and AI-powered analytics.
Following the launch of Dynatrace® Grail for Log Management and Analytics , we’re excited to announce a major update to our Business Analytics solution. Business events deliver the industry’s broadest, deepest, and easiest access to your critical business data. Business events, Grail, and OneAgent.
The Dynatrace platform has been recognized for seamlessly integrating with the Microsoft Sentinel cloud-native security information and event management ( SIEM ) solution. They can automatically identify vulnerabilities, measure risks, and leverage advanced analytics and automation to mitigate issues.
As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Fortunately, CISOs can use security analytics to improve visibility of complex environments and enable proactive protection. What is security analytics? Why is security analytics important? Here’s how.
Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. Component Design. API Design. We have provided the API design of posting an image on Instagram below. API Design. Problem Statement. Architecture. Data Models.
RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Kafka is optimized for high-throughput event streaming , excelling in real-time analytics and large-scale data ingestion. What is Apache Kafka?
By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.
That’s where Dynatrace business events and automation workflows come into play to provide a comprehensive view of your CI/CD pipelines. Once the data is formatted, it is ingested into Dynatrace Business Analytics using the Dynatrace SDK. Let’s explore some of the advantages of monitoring GitHub runners using Dynatrace.
Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Let Grail do the work, and benefit from instant visualization, precise analytics in context, and spot-on predictive analytics. You no longer need to split, distribute, or pre-aggregate your data.
In fact, for most of us, has become a priority, requiring us to expand our focus on observability to include business analytics metrics. You get a call from a business partner claiming users are abandoning the purchase funnel (or quote form, or payment journey, or event registration) at an alarming rate. Below is the survey summary.
The Kubernetes platform, at its core, is designed to maintain and keep up with a defined state for running workloads. 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.
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.
Ready-made dashboards and notebooks address this concern by offering pre-configured data visualizations and filters designed for common scenarios like troubleshooting and optimization. This app provides advanced analytics, such as highlighting related surrounding traces and pinpointing the root cause, as illustrated in the example below.
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.
There are three high-level steps to set up the database business-event stream. Step-by-step: Set up a custom MySQL database extension Now we’ll show you step-by-step how to create a custom MySQL database extension for querying and pushing business data to the Dynatrace business events endpoint. Don’t rename the file.
They offer a comprehensive end-to-end solution to these challenges, providing functionalities designed to enhance compliance and resilience in IT environments. Workflows can be triggered manually, on a schedule, or by events in Dynatrace, such as anomalies detected by Davis AI.
Unlike web technologies, which support a wide range of applications from webpage serving to API interactions, ADS-B is designed explicitly for real-time physical tracking and monitoring in aviation—just like any other IoT monitoring solution in the earlier mentioned verticals.
The Dynatrace platform now enables comprehensive data exploration and interactive analytics across data sets (trace, logs, events, and metrics)empowering you to solve complex use cases, handle any observability scenario, and gain unprecedented visibility into your systems.
Regardless of their role, every business process is designed to improve business outcomes. But even the best BPM solutions lack the IT context to support actionable process analytics; this is the opportunity for observability platforms. These benefits come from robust process analytics, often augmented by AI.
They need event-driven automation that not only responds to events and triggers but also analyzes and interprets the context to deliver precise and proactive actions. These initial automation endeavors paved the way for greater advancements, leading to the next evolution of event-driven automation.
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. Greenplum Architectural Design. Greenplum Advantages.
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. The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud.
Customers can also proactively address issues using Davis AI’s predictive analytics capabilities by analyzing network log content, such as retries or anomalies in performance response times. Dynatrace natively supports Syslog using ActiveGate (preferred method) or the OpenTelemetry (OTel) collector.
Bring logic to data with easy-to-build apps As a unified observability and security platform, Dynatrace is designed to be open and customizable from the ground up. Pre-built custom dashboards enable the team to share the hourly billing data with development teams, giving them insights into how architecture and design decisions drive costs.
Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Case Study.
Monitor your cloud OpenPipeline ™ is the Dynatrace platform data-handling solution designed to seamlessly ingest and process data from any source, regardless of scale or format. Furthermore, OpenPipeline is designed to collect and process data securely and in compliance with industry standards.
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.
Logs represent event data in plain-text, structured or binary format. By providing Dynatrace access to the Kubernetes API , many additional insights are possible, for example, event tracking and over-commitment rate (resource requests vs. r esources available). . Further reading about Business Analytics : .
Security analysts are drowning, with 70% of security events left unexplored , crucial months or even years can pass before breaches are understood. After a security event, many organizations often don’t know for months—or even years—when, why, or how it happened. Discover more insights from the 2024 CISO Report.
Logs complement out-of-the-box metrics and enable automated actions for responding to availability, security, and other service events. Dynatrace Log Management and Analytics powered by Grail enables you to get answers from logs with any query at any time. Many AWS services and third party solutions use AWS S3 for log storage.
Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Buckets are similar to folders, a physical storage location. There is a default bucket for each table.
Recently, Dynatrace held its first annual partner enablement event, Amplify Sales Kickoff, announcing some exciting initiatives for the year ahead. And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success.
Recent platform enhancements in the latest Dynatrace, including business events powered by Grail™, make accessing the goldmine of business data flowing through your IT systems easier than ever. Business events can come from many sources, including OneAgent®, external business systems, RUM sessions, or log files.
As recent events have demonstrated, major software outages are an ever-present threat in our increasingly digital world. High demand Sudden spikes in demand can overwhelm systems that are not designed to handle such loads, leading to outages. This often occurs during major events, promotions, or unexpected surges in usage.
Identification The identification stage of application security monitoring involves discovering and pinpointing potential security weaknesses within an application’s code, configuration, or design. Enable analytics Visibility sets the stage while analytics help turn data into action.
Carbon Impact leverages business events , a special data type designed to support the real-time accuracy and long-term granularity demands common to business use cases. Some use cases benefit from dashboards or ad-hoc analytics, complementing the insights from Carbon Impact.
Elevating user experience and design with collaborative partner innovation The top submissions stood out by solving complex business challenges and focusing on creating an exceptional user experience. The User Flow Analytics app was created to address real-life business challenges. Below are the winners.
Dynatrace Smartscape® technology provides all data in context to simplify analytics and problem detection by semantically mapping metrics, traces, logs, and real user data to specific Kubernetes objects, including containers, pods, nodes, and services. Dynatrace is designed to scale easily across the entire Kubernetes stack.
We believe this placement recognizes Dynatrace’s leadership in applying AI, automation, and advanced analytics to business and operations use cases to provide predictive and prescriptive answers to IT issues in real time. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics.
Causal AI is an artificial intelligence technique used to determine the precise underlying causes and effects of events. Using 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.
Building on these foundational abstractions, we developed the TimeSeries Abstraction — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. For example: {“device_type”: “ios”}.
AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Improved time management and event prioritization. What is AIOps, and how does it work? Seven benefits of AIOps for operational transformation.
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