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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. This enables Dynatrace customers to achieve faster time-to-value and accelerate innovation.
To understand whats happening in todays complex software ecosystems, you need comprehensive telemetry data to make it all observable. With so many types of technologies in software stacks around the globe, OpenTelemetry has emerged as the de facto standard for gathering telemetry data.
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. It’s about uncovering insights that move business forward. The result?
With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. In many cases, metric behavior changes over time.
At the time when I was building the most innovative observability company, security seemed too distant. 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.
Software should forward innovation and drive better business outcomes. But legacy, custom software can often prevent systems from working together, ultimately hindering growth. Conversely, an open platform can promote interoperability and innovation. Data supports this need for organizations to flex and modernize.
In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.
In today’s rapidly evolving landscape, incorporating AI innovation into business strategies is vital, enabling organizations to optimize operations, enhance decision-making processes, and stay competitive. The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud.
My goal was to provide IT teams with insights to optimize customer experience by collaborating with business teams, using both business KPIs and IT metrics. Only then can executives understand whether their software helps to deliver the intended business outcomes. All of these use cases go beyond commonly used analytics tools.
When we launched the new Dynatrace experience, we introduced major updates to the platform, including Grail ™, our innovative data lakehouse unifying observability, security, and business data, and Dynatrace Query Language ( DQL ) for accessing and exploring unified data. Next, let’s use the Kubernetes app to investigate more metrics.
Customer lifetime value (CLV) has long been established as the key metric financial services firms use to gauge their profitability and competitive position in the market. This pace of change is so great that financial sector CIOs find it hard to maintain software security and reliability. However, this practice is not yet mature.
Park ‘N Fly has created a series of software-based services to enhance customer experience while patrons park. But Park ‘N Fly’s services require software intelligence at every layer of the IT stack. Several team members had to pore through logs, metrics, and other data to identify issues. “We
However, the drive to innovate faster and transition to cloud-native application architectures generates more than just complexity — it’s creating significant new risk. Data often lacks context, hampering attempts to analyze full-stack, dependent services, across domains, throughout software lifecycles, and so on.
Every software development team grappling with Generative AI (GenAI) and LLM-based applications knows the challenge: how to observe, monitor, and secure production-level workloads at scale. How can you gain insights that drive innovation and reliability in AI initiatives without breaking the bank?
The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context.
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.
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. Davis topology-aware anomaly detection and alerting for your custom metrics. Seamlessly report and be alerted on topology-related custom metrics.
Unlike other solutions that attempt to connect disparate tools to stitch together a business transaction, the Dynatrace software intelligence platform provides end-to-end transaction visibility by automatically discovering and mapping each transaction with our AI-powered solution. This metric helps you to understand your current workload.
To remain competitive in today’s fast-paced market, organizations must not only ensure that their digital infrastructure is functioning optimally but also that software deployments and updates are delivered rapidly and consistently. They help foster confidence and consistency throughout the entire software development lifecycle (SDLC).
This leads us to conclude that many business teams are still relying on tools that only provide insight into certain types of organizational data (for example, marketing tools), or they are not at all involved in the software development lifecycle. software development, IT operations, support, and business teams). Automate processes.
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.
Teams are using concepts from site reliability engineering to create SLO metrics that measure the impact to their customers and leverage error budgets to balance innovation and reliability. Nobl9 integrates with Dynatrace to gather SLI metrics for your infrastructure and applications using real-time monitoring or synthetics.
In September, we announced the availability of the Dynatrace Software Intelligence Platform on Microsoft Azure as a SaaS solution and natively in the Azure portal. This enables organizations to tame cloud complexity, minimize risk, and reduce manual effort so teams can focus on driving innovation. 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.
OpenTelemetry (also referred to as OTel) is an open-source observability framework made up of a collection of tools, APIs, and SDKs, that enables IT teams to instrument, generate, collect, and export telemetry data for analysis and understand software performance and behavior. Logs, metrics, and traces make up the bulk of all telemetry data.
2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. Microservices are flexible, lightweight, modular software services of limited scope that fit together with other services to deliver full applications. Dynatrace news. What are microservices?
2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. Microservices are flexible, lightweight, modular software services of limited scope that fit together with other services to deliver full applications. Dynatrace news. What are microservices?
The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. By 2024, over 50% of all IT spending will be directly put towards digital transformation and innovation (up from 31% in 2018).
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. Expanded Kubernetes Support. As a result, we announced the extended support for Kubernetes for Dynatrace customers.
Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. A full-stack observability solution uses telemetry data such as logs, metrics, and traces to give IT teams insight into application, infrastructure, and UX performance.
These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. The innovation is mutual The Ally Technology Partner Awards are a way for the company to acknowledge its exceptional partners. “We Dynatrace is especially proud to support innovators like Ally Financial.
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. For example, development teams can use automation to increase efficiency in the software development lifecycle.
As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. According to recent Dynatrace research , organizations expect to make software updates 58% more frequently in the coming year.
They’ve gone from just maintaining their organization’s hardware and software to becoming an essential function for meeting strategic business objectives. Often, these metrics are unable to even identify trends from past to present, never mind helping teams to predict future trends. Agility and innovation.
Today, the AI Breakthrough Awards announced its 2020 winners , recognizing the leading AI innovators and solutions. T hat success and this award are not a coincidence: Dynatrace’s Software Intelligence Platform was created to help customers transform how they work on their journey to the dynamic multicloud.
Today’s organizations are constantly enhancing their systems and services as new opportunities arise, inspiring new forms of collaboration while relying on open ecosystems and open source software. Open source software is an example of the value created in an open ecosystem. Fortunately, open source software can help with this.
Dynatrace full stack observability for Red Hat OpenShift Dynatrace enhances software quality and operational efficiency, which drives innovation by unifying application, operation, and platform engineering teams on a single platform.
trillion this year 1 , more than two-thirds of the adult population now relying on digital payments 2 for financial transactions, and more than 400 million terabytes of data being created each day 3 , it’s abundantly clear that the world now runs on software. With global e-commerce spending projected to reach $6.3
I also have the privilege of being “customer zero” for our platform, which enables me to continually discover where Dynatrace can deliver on more use cases to drive my team’s productivity and innovation. Optimizing costs is a proven way to free up budgets for innovation. Change is my only constant.
Earlier this year, Dynatrace announced its involvement in the open source feature flagging project OpenFeature that enables fast-paced, high-quality software development. Organizations need to release software at a high velocity to stay competitive as the pace of business accelerates, but they can’t sacrifice software quality for speed.
In fact, a recent global survey of 700 CIOs found that 86% of companies are now using cloud-native technologies and platforms, such as Kubernetes, microservices, and containers, to accelerate innovation and stay competitive. Metrics: Numeric representation of data measured over a set period. Where traditional methods struggle.
A new wave of innovation for AIOps. We believe the new Forrester Wave for AIOps confirms Dynatrace’s recognition that AI and automation have radically changed the game in operations and are driving the next innovation cycle in enterprise software to help organizations respond faster and more accurately to anomalies.
Application performance monitoring involves tracking key software application performance metrics using monitoring software and telemetry data. Application performance monitoring has a strong focus on specific metrics and measurements. What is the impact of APM on the business?
In a recent conversation at Dynatrace Innovate in Barcelona, Spain, with Liisa Tallinn, product manager of application security at Dynatrace, Domenella explained how it works. Security by design is an approach to developing systems that integrate security principles into the entire software development lifecycle.
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