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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.
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?
To get a better idea of OpenTelemetry trends in 2025 and how to get the most out of it in your observability strategy, some of our Dynatrace open-source engineers and advocates picked out the innovations they find most interesting. In 2025, we expect to see the first releases, so youll be able to test out this innovative technology.
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.
We’re excited to announce several log management innovations, including native support for Syslog messages, seamless integration with AWS Firehose, an agentless approach using Kubernetes Platform Monitoring solution with Fluent Bit, a new out-of-the-box ingest dashboard, and OpenPipeline ingest improvements.
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.
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. What is observability?
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.
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. The Dynatrace platform’s granular insights also empower development teams to innovate more effectively so they can deliver faster change, helping executives improve customer experience.
Importantly, Kubernetes also enables developers to build, deliver, and update microservices-based applications flexibly, reliably, and quickly. When it comes to observing Kubernetes environments, your approach must be rooted in metrics, logs, and traces —and also the context in which things happen and their impact on users.
Software should forward innovation and drive better business outcomes. Conversely, an open platform can promote interoperability and innovation. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia. Data supports this need for organizations to flex and modernize.
Accordingly, for organizations developing and managing applications in the cloud, AIOps (AI for IT operations) has become a key tool to understand application performance problems, cybersecurity threats, and more. Several team members had to pore through logs, metrics, and other data to identify issues. “We
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. It is also central to helping leaders develop best-practice strategies to attract and retain new customers. Where do financial services leaders go from here?
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.
Listen in to learn about the innovative steps that the USPTO has taken to develop new ways of working. UK Home Office: Metrics Meets Service with Dimitris Perdikou Follow the Tech Transforms podcast Follow Tech Transforms on Twitter , LinkedIn , Instagram , and Facebook to get the latest updates on new episodes!
Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Observability is about answering.”
Organizations are increasingly embracing cloud- and AI-native strategies, requiring a more automated and intelligent approach to their observability and development practices. The need for application and DevOps modernization to deliver on business outcomes has never been greater.
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?
Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Logs, metrics, and traces make up the bulk of all telemetry data. The data life cycle has multiple steps from start to finish.
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.
The primary goals of these campaigns are to encourage more people to install and play the games, making incremental installs and engagement crucial metrics for evaluating their effectiveness. To facilitate easier access to incrementality results, we have developed an interactive tool powered by this framework.
2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Dynatrace news.
2020 cemented the reality that modern software development practices require rapid, scalable delivery in response to unpredictable conditions. This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Dynatrace news.
He offers valuable insights into the evolving ecosystem, the challenges ahead, and the exciting possibilities for developers in composing more effective telemetry data pipelines. A: It’s given developers and platform teams much greater ownership of their data. It’s given them flexibility and freedom that they didn’t have before.
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.
Echoing John Van Siclen’s sentiments from his Perform 2020 keynote, Steve cited Dynatrace customers as the inspiration and driving force for these innovations. “A Highlighting the company’s announcements from Perform 2020, Steve and a team of other Dynatrace product leaders introduced the audience to several of our latest innovations.
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).
This traditional approach presents key performance metrics in an isolated and static way, providing little or no insight into the business impact or progress toward the goals systems support. Often, these metrics are unable to even identify trends from past to present, never mind helping teams to predict future trends.
These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. With the insights they gained, the team expanded into developing workflow automations using log management and analytics powered by the Grail data lakehouse.
Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. but that would slow down our overall pace of innovation. Curious to learn more?
As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. This drive for speed has a cost: 22% of leaders admit they’re under so much pressure to innovate faster that they must sacrifice code quality.
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.
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. Learn more.
However, while open ecosystems offer benefits such as increased flexibility, faster development, and improved collaboration, they also present new observability challenges. It enables organizations to benefit from collective innovation for common tasks so they can concentrate on building their own IP.
Suddenly, not just DevOps, but infrastructure teams, developers, and operations teams are all challenged to understand how performance problems within applications or cloud services may impact the performance of the overall infrastructure. As a developer, you might use Google Cloud Function for serverless components.
This efficiency is why he and his teams use Dynatrace for everything in their development, security, and operations (DevSecOps) practices. 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.
Serverless functions extend applications to accelerate speed of innovation. These serverless functions allow developers to focus on their business logic. Full integration with existing Dynatrace capabilities for AWS Lambda (for example, metric ingestion via AWS Cloud Watch).
Azure Native Dynatrace Service allows easy access to new Dynatrace platform innovations Dynatrace has long offered deep integration into Azure and Azure Marketplace with its Azure Native Dynatrace Service, developed in collaboration with Microsoft. There’s no need for configuration or setup of any infrastructure.
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By proactively implementing digital experience monitoring best practices and optimizing user experiences , organizations can increase long-term customer satisfaction and loyalty, drive business value , and accelerate innovation. DEM solutions monitor and analyze the quality of digital experiences for users across digital channels.
Since then, we have applied innovations such as shot-based encoding and newer codecs to deploy more efficient encode families. These are summarized below: Instead of relying on other objective metrics, such as PSNR†, VMAF is employed to guide optimization decisions. . Yet, given its wide support, our H.264/AVC
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This approach enhances key DORA metrics and enables early detection of failures in the release process, allowing SREs more time for innovation. This blog post explores the Reliability metric , which measures modern operational practices. Why reliability?
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