Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. Dynatrace news. Five hybrid cloud platforms to consider.

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Infrastructure Cloud Azure AWS 246

Dynatrace

MARCH 22, 2022

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 cloud infrastructure to accommodate traditional applications that can’t be easily migrated to public clouds. Additional infrastructure metrics.

Infrastructure 246

Infrastructure Cloud Java Azure 246

Dynatrace

JULY 12, 2022

AIOps and observability for infrastructure management. This kind of IT automation “ingests data from every layer in the stack — from the infrastructure layer to the application layer and even user experience data,” says Bipin Singh, director of product marketing at Dynatrace. This allows us to manipulate our environment,” he says.

Innovation 246

Innovation Infrastructure DevOps Azure 246

Dynatrace

NOVEMBER 5, 2019

Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Do I need more than Azure Monitor? Azure Monitor features. A typical Azure Monitor deployment, and the views associated with each business goal. Available as an agent installer). How does Dynatrace fit in?

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Azure Artificial Intelligence Metrics Innovation 197

Dynatrace

JULY 23, 2020

Today we’re happy to announce, that with the release of Dynatrace version 1.198 (SaaS and Managed), auto-adaptive baseline extends beyond application performance (APM) metrics to include thousands of infrastructure and cloud metrics as well. Cloud platform metrics (AWS, Azure, Kubernetes, etc.). Custom log metrics.

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Metrics Innovation Strategy Monitoring 277

Dynatrace

NOVEMBER 20, 2024

Dynatrace, available as an Azure-native service , has a longstanding partnership with Microsoft, deeply rooted in a strong “build with” approach to deliver seamless user experience. This enables Dynatrace customers to achieve faster time-to-value and accelerate innovation.

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Best Practices Innovation Azure Cloud 299

Dynatrace

FEBRUARY 13, 2020

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.

Performance 278

Performance Mobile Analytics Innovation 278

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Manual troubleshooting is painful, hurts the business, and slows down innovation.

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Cloud Azure Analytics AWS 264

Dynatrace

OCTOBER 1, 2021

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. An advanced observability solution can also be used to automate more processes, increasing efficiency and innovation among Ops and Apps teams.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. Accelerated innovation. billion in 2020 to $4.1

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Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

APRIL 24, 2024

To help our customers confidently navigate the complexities of the cloud and innovate faster and more securely, the Dynatrace platform must be delivered reliably. This solution will remain independent of Dynatrace SaaS infrastructure, further enhancing the reliability of our status updates.

Azure 264

Azure Infrastructure Metrics AWS 264

Dynatrace

FEBRUARY 16, 2023

That’s why, in part, major cloud providers such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform are discussing cloud optimization. Modern observability allows organizations to eliminate data silos, boost cloud operations, innovate faster, and improve business results. “As

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Artificial Intelligence Analytics Cloud Innovation 246

Dynatrace

DECEMBER 2, 2024

On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments. However, the drive to innovate faster and transition to cloud-native application architectures generates more than just complexity — it’s creating significant new risk.

Artificial Intelligence 258

Artificial Intelligence DevOps Architecture Cloud 258

Dynatrace

APRIL 15, 2022

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. Development teams can innovate faster with higher quality. Dynatrace news.

Cloud 245

Cloud Infrastructure Innovation Monitoring 245

Dynatrace

JANUARY 31, 2024

Data dependencies and framework intricacies require observing the lifecycle of an AI-powered application end to end, from infrastructure and model performance to semantic caches and workflow orchestration. Enterprises that fail to adapt to these innovations face extinction. million AI server units annually by 2027, consuming 75.4+

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Cache Azure Infrastructure Monitoring 276

Dynatrace

NOVEMBER 11, 2021

Increasingly, organizations see IT modernization as their on-ramp to product innovation and cost reduction. As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. Dynatrace news. Data confirms Aggarwal’s conclusions.

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Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. As we found in our Kubernetes in the Wild research, 63% of organizations are using Kubernetes for auxiliary infrastructure-related workloads versus 37% for application-only workloads.

Infrastructure 246

Infrastructure Open Source Operating System Cloud 246

Dynatrace

MARCH 18, 2024

In a Dynatrace Perform 2024 session, Kristof Renders, director of innovation services, discussed how a stronger FinOps strategy coupled with observability can make a significant difference in helping teams to keep spiraling infrastructure costs under control and manage cloud spending. ” But Dynatrace goes further.

Best Practices 278

Best Practices Strategy Cloud AWS 278

Dynatrace

MAY 8, 2023

It enables organizations to benefit from collective innovation for common tasks so they can concentrate on building their own IP. Additionally, Dynatrace provides organizations with more than 625 integrations, including AWS Lambda, Microsoft Azure Functions, Google Cloud Functions, and more. The post What is an open ecosystem?

Open Source 246

Open Source Strategy Lambda Metrics 246

Dynatrace

APRIL 10, 2023

According to the Dynatrace “2022 Global CIO Report,” 79% of large organizations use multicloud infrastructure. Moreover, organizations have to balance maintaining security, retaining cloud management expertise, and managing infrastructure performance. Rural lifestyle retail giant Tractor Supply Co.

Cloud 243

Cloud Ecommerce Performance Retail 243

Dynatrace

FEBRUARY 12, 2024

Check out the following use cases to learn how to drive innovation from development to production efficiently and securely with platform engineering observability. Progressive delivery Next up, Adam Gardner, staff engineer at Dynatrace, talked about using observability for faster innovation in production to enhance new releases.

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Dynatrace

SEPTEMBER 5, 2023

Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. Ultimately, cloud observability helps organizations to develop and run “software that works perfectly,” said Dynatrace CEO Rick McConnell during a keynote at the company’s Innovate conference in Săo Paulo in late August.

Cloud 246

Cloud Artificial Intelligence Innovation Azure 246

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. Security is a growing area of concern for managing containers.

Open Source 334

Open Source DevOps Traffic Cloud 334

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. What is Google Cloud Functions? GCF is part of the Google Cloud Platform.

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Dynatrace

APRIL 7, 2021

But your infrastructure teams don’t see any issue on their AWS or Azure monitoring tools, your platform team doesn’t see anything too concerning in Kubernetes logging, and your apps team says there are green lights across the board. This scenario has become all too common as digital infrastructure has grown increasingly complex.

Cloud 227

Cloud Monitoring Latency Games 227

Dynatrace

DECEMBER 8, 2021

You may be using serverless functions like AWS Lambda , Azure Functions , or Google Cloud Functions, or a container management service, such as Kubernetes. Monolithic applications earned their name because their structure is a single running application, which often shares the same physical infrastructure. Let’s break it down.

Cloud 246

Cloud Serverless Hardware Operating System 246

Dynatrace

APRIL 22, 2022

This gives organizations visibility into their hybrid and multicloud infrastructures , providing teams with contextual insights and precise root-cause analysis. With a single source of truth, infrastructure teams can refocus on innovating, improving user experiences, transforming faster, and driving better business outcomes.

Cloud 242

Cloud Lambda Serverless AWS 242

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. So, what is artificial intelligence? What is predictive AI?

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

Dynatrace

OCTOBER 30, 2023

Application performance monitoring (APM) , infrastructure monitoring, log management, and artificial intelligence for IT operations (AIOps) can all converge into a single, integrated approach. In a unified strategy, logs are not limited to applications but encompass infrastructure, business events, and custom metrics.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code.

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Dynatrace

APRIL 17, 2019

We believe this recognition is a testament to the company’s drive to constantly innovate and be the best in all that we do. Our platform needed a full-stack approach, including virtual network infrastructure, containers, applications, and users. A dinner in Linz changed the course of the company, forever. We needed to go beyond APM.

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Innovation Virtualization Cloud Azure 188

Dynatrace

NOVEMBER 2, 2023

Public, private, and hybrid cloud computing platforms such as Microsoft Azure and Google Cloud provide access, development, and management of cloud applications and services. Aligning technology and finance teams Engineers focus on cloud computing, innovation, and moving workloads to the cloud, while finance teams focus on minimizing costs.

Cloud 246

Cloud Strategy Retail Energy 246

Dynatrace

OCTOBER 2, 2024

DevOps teams operating, maintaining, and troubleshooting Azure, AWS, GCP, or other cloud environments are provided with an app focused on their daily routines and tasks. If your team deploys applications cloud-natively, we meet you there, too, as we recently covered in our blog post, Dynatrace log management innovations: Syslog, AWS Firehose.

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Analytics AWS DevOps Cloud 304

Dynatrace

JUNE 7, 2023

Businesses in all sectors are introducing novel approaches to innovate with generative AI in their domains. This includes OpenAI as well as Azure OpenAI services, such as GPT-3, Codex, DALL-E, or ChatGPT. Our example dashboard below visualizes OpenAI token consumption.

Monitoring 241

Monitoring Latency Metrics Azure 241

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. What are some key characteristics of securing cloud applications?

Cloud 245

Cloud Open Source Architecture Monitoring 245

O'Reilly

FEBRUARY 18, 2020

Software architecture, infrastructure, and operations are each changing rapidly. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Also: infrastructure and operations is trending up, while DevOps is trending down. Coincidence? Probably not, but only time will tell.

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Software Architecture DevOps Data Engineering Architecture 142

Dynatrace

AUGUST 21, 2023

This involves configuring its exporters, agents, and collectors to instrument the data from your various services and infrastructure in preparation for processing by your chosen back end. This visibility extended across their distributed environment, including AWS Lambda and Microsoft Azure.

Open Source 246

Open Source Analytics Lambda Metrics 246