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The rapid evolution of cloud technology continues to shape how businesses operate and compete. This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation.
While many companies now enlist public cloud services such as Amazon Web Services, Google Public Cloud, or Microsoft Azure to achieve their business goals, a majority also use hybrid cloudinfrastructure to accommodate traditional applications that can’t be easily migrated to public clouds.
And it enables executives to have unprecedented insight into how user experiences, applications and underlying infrastructure health can power their business. More time for teams to focus on developing new services and improving customer experience, all while keeping operational costs under control. The result?
As organizations adopt more cloud-native technologies, the risk—and consequences—of cyberattacks are also increasing. 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. Audit logs.
Dynatrace continues to deliver on its commitment to keeping your data secure in the cloud. Such infrastructures must implement additional controls to securely separate each customer’s data. All bucket keys are managed by Dynatrace and are configured to rotate automatically after 365 days.
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Dynatrace enables our customers to monitor and optimize their cloudinfrastructure and applications through the Dynatrace Software Intelligence Platform. Today’s story is about how the Keptn development team is using Dynatrace during development and load-testing. Conclusion: Dynatrace is always on for us developers.
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On top of this, organizations are often unable to accurately identify root causes across their dispersed and disjointed infrastructure. Efforts toward business optimization and cloud modernization will almost certainly be met with some resistance from team members and stakeholders who desire the status quo.
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.
In the past few years, there has been a growing number of organizations and developers joining the Docker journey. Containerization simplifies the software development process because it eliminates dealing with dependencies and working with specific hardware. But, it can be quite confusing how to run a container on the cloud.
The annual Google Cloud Next conference explores the latest innovations for cloud technology and Google Cloud. Google Cloud users will come together to learn from Google experts and partners on topics from generative AI to cloud operations and security.
We can plausibly say the enterprise development market turned the tide on cloud-native development in 2020, as most net-new software and serious overhaul projects started moving toward microservices architectures, with Kubernetes as the preferred platform.
Effective application development requires speed and specificity. Applications must work as intended and make their way through development pipelines as quickly as possible. FaaS enables enterprises to deliver on the evolving expectations of fast and furious app development. But what is FaaS? What is FaaS?
But as more organizations adopt cloud-native technologies and distribute workloads among multicloud environments, that goal seems harder to attain. In fact, a recent survey found that many cloud applications are vulnerable to outages , despite growing confidence in cloud platforms and services. What is always-on infrastructure?
AWS Security Hub findings AWS Security Hub provides a great way of aggregating security findings, especially those related to cloudinfrastructure. Findings from various stages of the Software Development Lifecycle (SDLC) are mixed in: code scans, build scans, and runtime. This increases the number of findings to prioritize.
That’s why cloud cost optimization is becoming a major priority regardless of where organizations are on their digital transformation journeys. In fact, Gartner’s 2023 forecast is for worldwide public cloud spending to reach nearly $600 billion. These costs also have an environmental impact. Utilization. Architecture.
In my past life, I spent many hours researching, creating, explaining, and publishing portfolio architectures across a collection of application development, domain verticals, infrastructure solutions, and hybrid cloud domains. Most of these concentrated on the application layers and their usage of the infrastructure.
However, with these benefits come complexities in terms of cloud management, Kubernetes observability, and automation, making it imperative for enterprises to address these intricacies to enhance reliability, performance, and resource usage. So many tools can result in data inconsistencies.
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Duet AI by Google is an amazing tool for app developers. It's great for both experienced developers and beginners. It uses advanced AI to make coding easier. You can talk to it like you talk to a friend, and it helps you write code, fix problems, and learn coding tricks.
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As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. American Family turned to observability for cloud operations. Step 2: Instrument compute and serverless cloud technologies.
Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. As cloud complexity grows, it brings more volume, velocity, and variety of log data. Managing this change is difficult.
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.
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.
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.
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. Why cloud-native applications, Kubernetes, and open source require a radically different approach to application security.
As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The goal is to abstract away the underlying infrastructure’s complexities while providing a streamlined and standardized environment for development teams.
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.
Log ingestion can seem daunting when getting started with Dynatrace, especially when staring at an empty screen in the Logs or Clouds apps. The Discovery & Coverage app provides Dynatrace administrators with the same OneAgent installation experience they receive with the Clouds and Logs apps. Figure 1.
Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation. Why is developer observability important for engineers? Observability is about answering.”
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. Research indicates that IT pros now feel the squeeze of this data explosion and cloud complexity.
Today’s organizations face increasing pressure to keep their cloud-based applications performing and secure. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. As organizations develop new applications, vulnerabilities will continue to emerge.
Most infrastructure and applications generate logs. In cloud-native environments, there can also be dozens of additional services and functions all generating data from user-driven events. This is critical to ensure high performance, security, and a positive user experience for cloud-native applications and services.
In turn, it sets the stage for fast, functional, and reliable software development. Cloud-native observability and artificial intelligence (AI) can help organizations do just that with improved analysis and targeted insight. Cloud-native observability delivers enhanced Kubernetes insight. That’s where AIOps comes in.
Cloud-native applications now dominate IT as DevOps teams respond to growing demands to deliver functionality faster and more securely. As DevOps teams are pivoting to cloud-native technologies, IT environments have become increasingly complex. Cloud-native is the preferred way of delivering applications. Dynatrace news.
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. While cloud deployments offer benefits, they also pose management challenges—especially in multicloud strategies that use various cloud providers.
As more and more workloads are migrated to the hyperscaler cloud-service providers, the utilization of cloud services is now standard for many organizations. Not to mention, hosting parts of their cloudinfrastructure locally isn’t something customers expect from their cloud solution.
Cloud environments—including multicloud, hybrid, and cloud-native ecosystems—offer unmatched agility, scalability, and cost-effectiveness, though they also present new challenges and complexities that are impossible to manage manually. Another big advantage of automation-as-code is the scale at which automation is enabled.
These are two values he shares with DevOps activist Andreas Grabner, who sat down with Hightower at Dynatrace Perform 2022 to talk about taming Kubernetes and the future of cloud-native technologies. Infrastructure as code vs infrastructure as data. Hightower likes to think of it as infrastructure as data.
Cloud observability is fast becoming an imperative as more organizations adopt multicloud IT strategies. To adapt, many are turning to AIOps and other automation technologies to solve the complex issues that accompany cloud-native architecture. Multicloud complexity obscures cloud observability. Dynatrace news.
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