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This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation. These innovations promise to streamline operations, boost efficiency, and offer deeper insights for enterprises using AWS services.
In fact, observability is essential for shaping how we design smarter, more resilient systems for the future. 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.
This enables Dynatrace customers to achieve faster time-to-value and accelerate innovation. As a MISA member, we look forward to collaborating with Microsoft and other members to develop best practices, share insights, and drive innovation in cloud-native security. Click here to read our full press release.
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.
This certification is specifically designed for Cloud Service Providers (CSPs) and builds upon the more generic approaches of ISO 27001 and SOC 2 Type II. This enables innovators to modernize and automate cloud operations, deliver software faster and more securely, and ensure flawless digital experiences.
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 financial services company, Soldo, efficiency and security by design are paramount goals. Since 2015, the Soldo business spend management platform has provided companies with a simple and efficient way to better spend and control company money. What is security by design?
From developers leveraging platform engineering tools to optimize application performance, to Site Reliability Engineers (SREs) ensuring resilience, and executives gaining critical business insights, observability increases the velocity of innovation across every level of an organization.
We equip our customers with the insights necessary to enhance user experiences and improve operational efficiency. We believe this acknowledgement reflects our continuous effort to innovate and improve, always with the goal of helping our customers deliver better digital experiences.
At the Dynatrace Innovate conference in Barcelona, Bernd Greifeneder, Dynatrace chief technology officer, discussed key examples of how the Dynatrace observability platform delivers value well beyond traditional monitoring. “It As customers continue to operate in the cloud, their needs for efficiency and cost-effectiveness only grow.
The Insight TriadAPI To efficiently understand the health of a title and triage issues quickly, all implementations of the observability endpoint must answer: is the title eligible for this phase of promotion, if notwhy is it not eligible, and what can be done to fix any problems. The request schema for the observability endpoint.
We’re therefore excited to announce that Dynatrace has received the Amazon RDS Service Ready designation. Achieving this designation differentiates Dynatrace as an AWS Advanced Technology Partner with a product that is integrated with Amazon RDS and is generally available and fully supported. Next steps.
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.
To better guide the design and budgeting of future campaigns, we are developing an Incremental Return on Investment model. Ideally, we would have causal estimates from an A/B test to use for validation, but since that is not available, we use another causal inference design as one of our ensemble of validation approaches.
How can we design systems that recognize these nuances and empower every title to shine and bring joy to ourmembers? This led to a suite of fragmented scripts, runbooks, and ad hoc solutions scattered across teamsan approach that was neither sustainable nor efficient. Stay tuned for a closer look at the innovation behind thescenes!
While conventional video codecs remain prevalent, NN-based video encoding tools are flourishing and closing the performance gap in terms of compression efficiency. We employed an adaptive network design that is applicable to the wide variety of resolutions we use for encoding. How do we apply neural networks at scale efficiently?
In order to unleash the innovation organizations need to evolve their SRE approaches. While increasing automation is a key goal, organizations will lose their derived efficiency if enablement is arduous and time-consuming. SRE adoption is growing, yet gaps remain. A shift to SRE-driven engineering takes hold.
Scalable software architectures are the backbone of efficient and flexible production lines, enabling manufacturers to meet the increasing demands for innovative display technologies. As display manufacturing continues to evolve, the demand for scalable software solutions to support automation has become more critical than ever.
Anticipating the evolution of our market, we designed the Dynatrace Software Intelligence Platform to: Provide the broadest multicloud observability , spanning applications, infrastructure, user experience, AIOps, automation, and application security in a single platform, to provide a single source of truth across the full stack.
Dynatrace recently announced the availability of its latest core innovations for customers running the Dynatrace® platform on Microsoft Azure, including Grail. Transforming business with Azure data analytics In the evolution towards digital and cloud-native solutions, the ability to efficiently manage vast amounts of data is imperative.
DevSecOps best practices provide guidelines to help organizations achieve efficient and secure application design, development, implementation, and management. Some DevSecOps best practices include the following: Security by design. The result is an improved ability to innovate. Disparate toolsets. Read report now!
This includes custom, built-in-house apps designed for a single, specific purpose, API-driven connections that bridge the gap between legacy systems and new services, and innovative apps that leverage open-source code to streamline processes. Development teams create and iterate on new software applications. Environmental forces.
By leveraging Dynatrace observability on Red Hat OpenShift running on Linux, you can accelerate modernization to hybrid cloud and increase operational efficiencies with greater visibility across the full stack from hardware through application processes. Dynatrace is designed to scale easily across the entire Kubernetes stack.
This massive migration is critical to organizations’ digital transformation , placing cloud technology front and center and elevating the need for greater visibility, efficiency, and scalability delivered by a unified observability and security platform. The speed of change is only going to accelerate, thus requiring more innovation.
In fact, according to a Forrester Consulting report , implementing an AIOps approach that provides proactive visibility helped companies improve operational efficiency and reduce false-positive alerts by 95%. Increased business innovation. For example: Greater IT staff efficiency. million per year by automating key processes.
Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.
Cloud computing skyrocketed onto the market 20+ years ago and has been widely adopted for the scalability and accelerated innovation it brings organization. Azure shines when it comes to building and running your software with speed and agility, empowering developers to build productively and innovate faster. Dynatrace news.
The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. 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. What is predictive AI?
Process Improvements (50%) The allocation for process improvements is devoted to automation and continuous improvement SREs help to ensure that systems are scalable, reliable, and efficient. This improves the current project and paves the way for future innovation. Streamlining the CI/CD process to ensure optimal efficiency.
The combination of our broad platform with powerful, explainable AI-assistance and automation helps our customers reduce wasted motions and accelerate better business outcomes – whether that’s speed and quality of innovation for IT, automation, and efficiency for DevOps, or optimization and consistency of user experiences.
Currently, there is a tough balance to achieve: Organizations need to innovate rapidly at scale, yet security remains paramount. AI is also crucial for securing data privacy, as it can more efficiently detect patterns, anomalies, and indicators of compromise. However, security concerns linger despite the potential benefits.
The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. The architects and developers who create the software must design it to be observed.
Dynatrace unified observability and security is critical to not only keeping systems high performing and risk-free, but also to accelerating customer migration, adoption, and efficient usage of their cloud of choice. Innovation and cloud modernization aren’t luxuries; they’re the heartbeat of progress.
Automating tasks throughout the SDLC helps software development and operations teams collaborate while continuously improving how they design, build, test, deploy, release, and monitor software applications. It helps to assess the long- and short-term efficiency and speed of DevOps. Cultural shift.
In this post, we dive deep into how Netflix’s KV abstraction works, the architectural principles guiding its design, the challenges we faced in scaling diverse use cases, and the technical innovations that have allowed us to achieve the performance and reliability required by Netflix’s global operations.
As developers move to microservice-centric designs, components are broken into independent services to be developed, deployed, and maintained separately. Shifting from monolith to microservices makes it easier to test, develop, and release innovative features more rapidly. Faster performance. Improved fault isolation.
DevOps seeks to accomplish smooth and efficient software creation, delivery, monitoring, and improvement by prioritizing agility and adaptability over rigid, stage-by-stage development. With the help of open-source solutions and agile APIs, teams can now deliver and maintain code more efficiently than ever. Dynatrace news.
As they try to become more efficient, organizations are turning to technologies such as AIOps and IT automation. AIOps —or the automation of IT operations—and other forms of IT automation have received increasing focus because these technology approaches are critical to improving organizational efficiency.
While last year was deemed “The Year of Innovation” for launching Grail , our causal data lakehouse with massively parallel processing (MPP), along with AppEngine , AutomationEngine , Notebooks , and more, 2023 is about extending these innovations to more customers through our partners. Just a few of these are outlined below.
Centralization of platform capabilities improves efficiency of managing complex, multi-cluster infrastructure environments According to research findings from the 2023 State of DevOps Report , “36% of organizations believe that their team would perform better if it was more centralized.” Automation, automation, automation.
AI-enabled chatbots can help service teams triage customer issues more efficiently. Deriving business value with AI, IT automation, and data reliability When it comes to increasing business efficiency, boosting productivity, and speeding innovation, artificial intelligence takes center stage.
Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.
Serverless functions help developers innovate faster, scale easier and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Increased efficiency for Lambda function configurations. What is AWS Lambda? Lambda Function URLs benefits. Set CORS and headers of the response.
The designation reflects AWS’ recognition that Dynatrace has demonstrated deep experience and proven customer success building AI-powered solutions on AWS. We are moving into the 2020s and smart integration and automation are driving the next innovation cycle in digital transformation and enterprise software. Dynatrace news.
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