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AI transformation, modernization, managing intelligent apps, safeguarding data, and accelerating productivity are all key themes at Microsoft Ignite 2024. Adopting AI to enhance efficiency and boost productivity is critical in a time of exploding data, cloud complexities, and disparate technologies.
We are excited to share that Dynatrace has been named the Cloud Security Platform of the Year in the prestigious 2024 CyberSecurity Breakthrough Awards. Additionally, 68% of CISOs struggle with vulnerability management because the complexity of their software supply chain and cloud ecosystem is beyond human capability.
We are in the era of data explosion, hybrid and multicloud complexities, and AI growth. Dynatrace analyzes billions of interconnected data points to deliver answers, not just data and dashboards sending signals without a path to resolution. This ability to innovate faster has given TD Bank a competitive edge in a complex market.
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.
Organizations are increasingly embracing cloud- and AI-native strategies, requiring a more automated and intelligent approach to their observability and development practices. Thats why Dynatrace will make its AI-powered, unified observability platform generally available on Google Cloud for all customers later this year.
Organizations today are struggling to tame massive amounts of data by throwing myriad tools at the problem. This can result in a slower pace of innovation. The need for an AI-enabled, unified cloud observability and security platform to deliver automation and intelligence at scale across the digital enterprise has never been greater.
As organizations adopt more cloud-native technologies, the risk—and consequences—of cyberattacks are also increasing. The Dynatrace platform has been recognized for seamlessly integrating with the Microsoft Sentinel cloud-native security information and event management ( SIEM ) solution. Audit logs.
This significant milestone underscores our ongoing commitment to maintaining the highest standards of security and compliance in the cloud and making it easier for our customers to use Dynatrace SaaS. The Cloud Security Alliance (CSA) Security, Trust & Assurance Registry (STAR) is a comprehensive framework for cloud security assurance.
At the time when I was building the most innovative observability company, security seemed too distant. Move beyond logs-only security: Embrace a comprehensive, end-to-end approach that integrates all data from observability and security. Dynatrace unifies all the different data types at scale and in context.
Why this award matters The InfoWorld Technology of the Year awards celebrate standout solutions in AI, APIs, applications, business intelligence, cloud, data management, DevOps, and software development that are shaping the future of IT. Looking ahead While we celebrate this achievement, we remain focused on the future.
DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. This has resulted in visibility gaps, siloed data, and negative effects on cross-team collaboration. At the same time, the number of individual observability and security tools has grown.
Meanwhile, cost reduction programs affect budgets, constrain technology investment, and inhibit innovation. In such a fragmented landscape, having clear, real-time insights into granular data for every system is crucial. But first, there are five things to consider before settling on a unified observability strategy.
Understanding that the first mile of getting data in can often be the hardest, Dynatrace continues to invest in log ingest, offering a range of out-of-the-box solutions within the Dynatrace Platform and apps. Dynatrace ActiveGate addresses these issues by enforcing configurable security settings and ensuring data uniformity.
But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion. Data explosion hinders better data insight.
FinOps , short for Financial Operations, is a methodology combining finance, technology, and business teams to optimize cloud spending and maximize value in cloud environments. Costs and their origin are transparent, and teams are fully accountable for the efficient usage of cloud resources.
Dynatrace has always been a company built on continuous innovation. . Years ago, we saw how the shift to dynamic multiclouds would cause an explosion of data and complexity that’d be nearly impossible for organizations to manage, and we completely reimagined our platform to stay ahead of the curve. . It’s not just a tagline.
How do you get more value from petabytes of exponentially exploding, increasingly heterogeneous data? The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022.
The industry has always innovated, and over the last decade, it started moving towards cloud-based workflows. However, unlocking cloudinnovation and all its benefits on a global scale has proven to be difficult. The data produced on set is traditionally copied to physical tape stock like LTO.
Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Dynatrace connects service-side observability data to customers’ experiences and business outcomes. Avoid the cost of customer churn by optimizing customer experience.
In today’s digital landscape, ensuring payment card data security is paramount. Achieving PCI DSS compliance is crucial for any organization that handles card payments, as it helps prevent data breaches and fraud. Development teams can innovate with higher quality and deliver better software up to 4x faster.
Business innovation costs money. But organizations may not always have insight into how their moves toward innovation generate costs as well as revenue. That’s why cloud cost optimization is becoming a major priority regardless of where organizations are on their digital transformation journeys. Utilization.
While customers use observability platforms to identify issues in cloud environments, the next chapter of value is removing manual work from processes and building IT automation into their organizations. How do we make the data accessible beyond the use cases that Dynatrace gives you, beyond observability and security?”
An open platform can address some of the challenges organizations have experienced as they move to the cloud to become more resilient and agile in the face of disruption. Software should forward innovation and drive better business outcomes. Conversely, an open platform can promote interoperability and innovation.
Cloud observability can bring business value, said Rick McConnell, CEO at Dynatrace. Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. But without effective cloud observability, they continue to experience challenges in their cloud environments.
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.
In the subsequent parts, we learned how to optimize our workload components across infrastructure, applications, and data. In this final part, we will present the impact and results related to applying the cost optimization and ShiftLeft FinOps techniques for a cloud-native application.
In fact, according to a Dynatrace global survey of 1,300 CIOs , 99% of enterprises utilize a multicloud environment and seven cloud monitoring solutions on average. What is cloud monitoring? Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.
Ultimately, this IT automation helps organizations garner real-time data for precise troubleshooting, robust application performance, and solid customer experience. These data insights became critical for Park ‘N Fly as it moved infrastructure to the cloud; IT resources became more dynamic and less visible.
With constraints on IT resources, downtime shifts staff away from innovation and other strategic work. Observability-driven DevOps enables state agencies to deliver higher-quality software faster MNIT can make better, data-driven release decisions by integrating observability data into the DevOps team’s delivery pipelines.
As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Simplified cloud complexity with fully automated observability of Google Cloud. Dynatrace news.
As cloud complexity increases and security concerns mount, organizations need log analytics to discover and investigate issues and gain critical business intelligence. With this new DPS pricing model option, customers can retain data at a fixed low cost with no additional cost to query for up to 35 days.
In today's cloud computing world, all types of logging data are extremely valuable. Logs can include a wide variety of data, including system events, transaction data, user activities, web browser logs, errors, and performance metrics. This innovative service is transforming the way organizations handle their log data.
Cloud-native observability for Google’s fully managed GKE Autopilot clusters demands new methods of gathering metrics, traces, and logs for workloads, pods, and containers to enable better accessibility for operations teams. First, we create a small Kubernetes cluster in the Google Cloud Console. Agent logs security.
Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. Dynatrace recently announced the availability of its latest core innovations for customers running the Dynatrace® platform on Microsoft Azure, including Grail. Digital transformation 2.0
As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.
As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. VA’s journey into the cloud.
In our increasingly digital world, the speed of innovation is key to business success. Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation. Open source has also become a fundamental building block of the entire cloud-native stack.
In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.
With our latest enhancements, were transforming the way you work with trace data. Whether you’re using OpenTelemetry or OneAgent, operating in the cloud or on-premiseswe’ve got you covered. Say hello to advanced trace an alytics and new data storage and capture options. But why stop there?
Key takeaways from this article on vulnerability management for cloud application security: Today’s cloud apps with their fast innovation cycles and frequent use of open-source libraries must address a gap for runtime vulnerability management in production environments. Dynatrace news.
Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms. But while moving workloads to the cloud brings overall carbon emissions down, the cloud computing carbon footprint itself is growing. Certainly, this is true for us.
Considering the latest State of Observability 2024 report, it’s evident that multicloud environments not only come with an explosion of data beyond humans’ ability to manage it. It’s increasingly difficult to ingest, manage, store, and sort through this amount of data. You can find the list of use cases here.
Multicloud strategy: Balancing potential with complexity in modern IT ecosystems In the ever-changing digital world, cloud technologies are crucial in driving business innovation and adaptability. Much like cloud deployments, a multicloud strategy offers numerous benefits.
Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. Nearly half (49%) of organizations believe their cloud bill is too high , according to a CloudZero survey. million on cloud computing , while large enterprises shell out upward of $12 million annually.
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