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I realized that our platforms unique ability to contextualize security events, metrics, logs, traces, and user behavior could revolutionize the security domain by converging observability and security. Collect observability and security data user behavior, metrics, events, logs, traces (UMELT) once, store it together and analyze in context.
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. Google or Adobe Analytics).
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.
Vulnerabilities can enter the software development lifecycle (SDLC) at any stage and can have significant impact if left undetected. As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. What is security analytics? Why is security analytics important?
Deploying and safeguarding software services has become increasingly complex despite numerous innovations, such as containers, Kubernetes, and platform engineering. Recent global IT outages, such as the CrowdStrike incident, remind us how dependent society is on software that works perfectly.
Software and data are a company’s competitive advantage. That’s because every company is now a software company. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. That’s exactly what a software intelligence platform does.
This results in custom solutions that require throw-away work whenever a particular software solution is added or removed. Second, embracing the complexity of OpenTelemetry signal collection must come with a guaranteed payoff: gaining analytical insights and causal relationships that improve business performance.
This leads to frustrating bottlenecks for developers attempting to build and deliver software. A central element of platform engineering teams is a robust Internal Developer Platform (IDP), which encompasses a set of tools, services, and infrastructure that enables developers to build, test, and deploy software applications.
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.
That’s where Dynatrace business events and automation workflows come into play to provide a comprehensive view of your CI/CD pipelines. Everyone involved in the software delivery lifecycle can work together more effectively with a single source of truth and a shared understanding of pipeline performance and health.
Unify tools to eliminate redundancies, rein in costs, and ease compliance : This not only lowers the total cost of ownership but also simplifies regulatory audits and improves software quality and security. Standardizing platforms minimizes inconsistencies, eases regulatory compliance, and enhances software quality and security.
Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable. It should also be possible to analyze data in context to proactively address events, optimize performance, and remediate issues in real time.
As user experiences become increasingly important to bottom-line growth, organizations are turning to behavior analytics tools to understand the user experience across their digital properties. Here’s what these analytics are, how they work, and the benefits your organization can realize from using them.
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.
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.
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. What’s behind it all?
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.
As recent events have demonstrated, major software outages are an ever-present threat in our increasingly digital world. From business operations to personal communication, the reliance on software and cloud infrastructure is only increasing. This often occurs during major events, promotions, or unexpected surges in usage.
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.
Real-time flight data monitoring setup using ADS-B (using OpenTelemetry) and Dynatrace The hardware We’ll delve into collecting ADS-B data with a Raspberry Pi, equipped with a software-defined radio receiver ( SDR ) acting as our IoT device, which is a RTL2832/R820T2 based dongle , running an ADS-B decoder software ( dump1090 ).
This approach acknowledges that in any organization, software works in isolation; boundaries and responsibilities are often blurred. This app provides advanced analytics, such as highlighting related surrounding traces and pinpointing the root cause, as illustrated in the example below.
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.
The exponential growth of data volume—including observability, security, software lifecycle, and business data—forces organizations to deal with cost increases while providing flexible, robust, and scalable ingest. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.
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.
Logging is integral to Kubernetes monitoring In the ever-changing and evolving software development landscape, logs have always been and continue to be – one of the most critical sources of insight. Easily onboard log analytics within the Kubernetes app and control log ingest and management centrally to ensure optimal experience.
Automatically allocate costs to teams, departments, or apps for full cost-transparency In recent years, the Dynatrace platform expanded with many innovative features covering various use cases, from business insights to software delivery. Figure 4: Set up an anomaly detector for peak cost events.
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.
Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Grail and DQL will give you new superpowers.”
But even the best BPM solutions lack the IT context to support actionable process analytics; this is the opportunity for observability platforms. Log files and APIs are the most common business data sources, and software agents may offer a simpler no-code option. These benefits come from robust process analytics, often augmented by AI.
When organizations implement SLOs, they can improve software development processes and application performance. SLOs improve software quality. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. SLOs aid decision making.
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. Dynatrace news.
Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines. Autonomous testing.
In times where weekly/biweekly software releases are the norm, in environments with thousands of applications, and when the introduction of new bugs is inevitable, we strongly believe that manual approaches to error detection and analysis are no longer feasible. Please share your feedback with us at Dynatrace Answers.
These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. How does a data lakehouse—the combination of a data warehouse and a data lake—together with software intelligence, bring data insights to life?
In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. Event logging and software tracing help application developers and operations teams understand what’s happening throughout their application flow and system.
Increasingly, organizations are exploring unified software platforms that eliminate data silos while offering both flexibility and extensibility to safeguard their investments and streamline their diverse tools. These events require triage, analysis, and remediation by the owners of the affected resources.
In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. Check out the guide from last year’s event. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. We’ll post news here as it happens!
Realizing that executives from other organizations are in a similar situation to my own, I want to outline three key objectives that Dynatrace’s powerful analytics can help you deliver, featuring nine use cases that you might not have thought possible. Change is my only constant.
Across both his day one and day two mainstage presentations, Steve Tack, SVP of Product Management, described some of the investments we’re making to continue to differentiate the Dynatrace Software Intelligence Platform. As a result, we announced the extended support for Kubernetes for Dynatrace customers.
A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Because events in cloud-native environments take place instantaneously, and there is so much data to digest, IT and operations teams often can’t identify problems before customers experience them.
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.
With the insights they gained, the team expanded into developing workflow automations using log management and analytics powered by the Grail data lakehouse. Ally is an agile, modern financial services enterprise that has etched unified observability, AI, and analytics into the core of its cloud strategy.
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. Learn more in this blog. Read now and learn more!
Cloud applications are built with the help of a software supply chain, such as OSS libraries and third-party software. According to recent research , 68% of CISOs say vulnerability management has become more difficult due to increased software supply chain and cloud complexity.
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