Dynatrace

AUGUST 16, 2022

And to tame cloud complexity at scale, organizations need comprehensive observability powered by AI, automation, and application security. We call that approach Cloud done right. So, why is Cloud done right so critical to every cloud migration? It’s an embodiment of the powerful things Cloud done right stands for.

Cloud 130

Cloud Innovation Efficiency Monitoring 130

Dynatrace

SEPTEMBER 8, 2022

Using Dynatrace on Microsoft Azure allows customers to leverage all the benefits of the Dynatrace platform’s underlying cloud-native, web-scale architecture while operating entirely in the Azure cloud. Enabling developers to use their most loved tools and services makes them more productive and efficient. How to get started.

Azure 231

Azure Cloud Virtualization Metrics 231

Dynatrace

NOVEMBER 11, 2021

Indeed, organizations view IT modernization and cloud computing as intertwined with their business strategy and COVID-19 recovery plans. As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. AWS re:Invent 2021: Modernizing for cloud-native environments.

AWS 213

AWS Cloud Lambda Azure 213

Dynatrace

SEPTEMBER 30, 2021

More organizations than ever are undertaking cloud migration as digital transformation continues to gain momentum across every industry in every region. But what does it take to migrate your existing applications to the cloud? What is cloud migration? However, it can also mean migrating from one cloud to another.

Cloud 165

Cloud Traffic Best Practices Strategy 165

Dynatrace

SEPTEMBER 8, 2022

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. Most infrastructure and applications generate logs.

Systems 185

Systems Cloud Analytics DevOps 185

Dynatrace

NOVEMBER 20, 2023

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.

AWS 209

AWS Artificial Intelligence Analytics Cloud 209

Dynatrace

NOVEMBER 9, 2022

Today’s organizations know they need cloud environments to stay competitive. . Indeed, according to some research, more than 90% of organizations now use cloud computing. cloud-native platforms will be the foundation ?for But many companies’ IT infrastructure doesn’t start out in the cloud. And Gartner predicts that?

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

MAY 4, 2022

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.

Cloud 182

Cloud DevOps Strategy Monitoring 182

Dynatrace

MAY 3, 2022

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.

Cloud 178

Cloud DevOps Architecture Technology 178

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. VA’s journey into the cloud.

Cloud 177

Cloud Infrastructure Innovation Monitoring 177

Dynatrace

NOVEMBER 10, 2020

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.

Google 220

Google Cloud Serverless Innovation 220

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. AI-enabled chatbots can help service teams triage customer issues more efficiently. Once organizations can unify their data in a trusted cloud observability platform, they can act on—and trust—the insights they gather.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

MAY 2, 2024

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. Tech Transforms podcast: It’s time to get familiar with generative AI – blog Generative AI can unlock boundless innovation.

Artificial Intelligence 229

Artificial Intelligence Cloud Best Practices DevOps 229

Dynatrace

DECEMBER 3, 2021

The adoption of cloud computing in the federal government will accelerate in a meaningful way over the next 12 to 18 months, increasing the importance of cloud monitoring. This is welcome insight as the Cloud First and Cloud Smart initiatives continue to take root. Obstacles to cloud monitoring. Dynatrace news.

Cloud 187

Cloud Artificial Intelligence Government Analytics 187

Dynatrace

APRIL 22, 2022

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.

Cloud 168

Cloud Lambda Serverless AWS 168

Dynatrace

SEPTEMBER 3, 2020

Azure Automation provides an extremely powerful set of tools for automating operations within enterprises on hybrid cloud. You can now simplify cloud operations with automated observability into the performance of your Azure cloud platform services in context with the performance of your applications. What is Azure Automation?

Azure 260

Azure Cloud Metrics Best Practices 260

Dynatrace

FEBRUARY 1, 2024

While more investments are being directed towards Kubernetes-native or cloud-native methods, the challenges in using Kubernetes remain. When working with Kubernetes, it’s imperative to carefully keep track of what is going on in your clusters to ensure optimal health and efficiency.

Engineering 263

Engineering Efficiency Azure Monitoring 263

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. Dynatrace news. Connecting data siloes requires daunting integration endeavors.

Cloud 259

Cloud Azure Analytics AWS 259

Dynatrace

NOVEMBER 9, 2023

Efficient coordination among resource usage, requests, and allocation is critical. As every container has defined requests for CPU and memory, these indicators are well-suited for efficiency monitoring. One option is to continuously track the Memory utilization efficiency of existing Kubernetes objects, such as namespaces or workloads.

Efficiency 274

Efficiency Monitoring Best Practices Open Source 274

Dynatrace

OCTOBER 14, 2020

Dynatrace enables our customers to monitor and optimize their cloud infrastructure and applications through the Dynatrace Software Intelligence Platform. For that reason, we started a simple load-test scenario where we flooded our event-based system with 100 cloud-events per minute. Dynatrace news. Houston, we have a problem!

Cloud 228

Cloud Development Open Source Monitoring 228

Dynatrace

MAY 23, 2024

Dynatrace ® AutomationEngine features a no- and low-code toolset and leverages Davis ® AI to empower teams to create and extend customized, intelligent, and secure workflow automation across cloud ecosystems. For more details, see the blog post, Set up AI-powered observability for your Microsoft Azure cloud resources in just one click.

Azure 225

Azure Cloud Metrics Innovation 225

Dynatrace

FEBRUARY 6, 2020

Autonomous Cloud is not another lofty marketing term. Autonomous Cloud is what enables our globally distributed development teams at Dynatrace to deliver better software faster following our NoOps approach: Fully Autonomous and as a Self-Service! Three waves of DevOps leading to Autonomous Cloud. Autonomous Cloud with Dynatrace.

Cloud 184

Cloud DevOps Engineering Speed 184

Dynatrace

DECEMBER 8, 2020

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.

Cloud 290

Cloud Open Source Internet Internet 290

Percona

FEBRUARY 24, 2023

If you’re using PostgreSQL in the cloud, there’s a good chance you’re spending more than you need in order to get the results you need for your business. Usage reduction: What to look for to reduce PostgreSQL cloud costs The first step in cost reduction is to use what you need and not more. Don’t pay for capacity you don’t use or need.

Cloud 120

Cloud Serverless AWS Storage 120

Dynatrace

FEBRUARY 10, 2021

Broad-scale observability focused on using AI safely drives shorter release cycles, faster delivery, efficiency at scale, tighter collaboration, and higher service levels, resulting in seamless customer experiences. Dynatrace launches Cloud Automation module for development, DevOps & SRE teams.

Cloud 167

Cloud DevOps Speed Azure 167

Dynatrace

APRIL 19, 2024

In this blog post, we explore real-life scenarios shared by our customers, partners, and internal users at Dynatrace, offering inspiration to kickstart your own journey with custom solutions powered by AppEngine. With Automation Engine, they were able to call the cloud provider’s API to trigger the desired resizing action.

AWS 220

AWS Analytics Cloud Monitoring 220

DZone

SEPTEMBER 21, 2023

In today’s rapidly evolving technological landscape, organizations are increasingly embracing cloud-native architectures and leveraging the power of Kubernetes for application deployment and management. In this blog post, we will learn why a multi-cluster setup is needed? How does Istio Service Mesh work on multi-clusters?

Azure 202

Azure Games AWS Cloud 202

Dynatrace

SEPTEMBER 13, 2023

If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework. This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud.

AWS 246

AWS Efficiency Azure Cloud 246

Dynatrace

JULY 8, 2019

While not a new concept, the term “cloud” creates a lot of confusion because it means different things to different audiences. I’ve been speaking to customers over the last few months about our new cloud architecture for Synthetic testing locations and their confusion is clear. Cloud effectively solves each of these major issues.

Cloud 201

Cloud Hardware Testing Logistics 201

Dynatrace

JANUARY 16, 2020

Part two added a few simple examples of how intellectual debt might accrue, highlighting the subtle but real drag on efficiency. Tomorrow’s hybrid multi-cloud environments are hyper-dynamic with highly distributed application environments, rapidly escalating the challenges to human-centric operations teams. Ready for more?

Cloud 156

Cloud Artificial Intelligence Virtualization Efficiency 156

The Netflix TechBlog

MARCH 5, 2019

All these micro-services are currently operated in AWS cloud infrastructure. As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

AUGUST 28, 2020

This is the second part of our blog series announcing the massive expansion of our Azure services support. Part 1 of this blog series looks at some of the key benefits of Azure DB for PostgreSQL, Azure SQL Managed Instance, and Azure HDInsight. Fully automated observability into your Azure multi-cloud environment.

Azure 155

Azure Cloud Tuning Monitoring 155

Dynatrace

MARCH 14, 2024

For example, an employee might not have the tools to efficiently retrieve data about a customer as they work to solve an issue. Modern cloud complexity makes it challenging for organizations to monitor and maintain their applications and services. This blog originally appeared in Federal News Network.

Government 191

Government Strategy Best Practices Website 191

Dynatrace

MAY 7, 2024

Unfortunately, their market prediction wasn’t correct; the cloud became more successful than IOT. which offers a range of updates: HTTP/2 support: Fluentbit now supports HTTP/2, enabling efficient data transmission with Gzip compression for OpenTelemetry data, enhancing pipeline performance. What’s new in Fluent Bit 3.0

Best Practices 243

Best Practices IoT Metrics Storage 243

Dynatrace

MAY 16, 2019

Earlier this year, we provided the Dynatrace Autonomous Cloud Survey to over 100 organizations so that we could better understand what is holding companies back from taking the next steps in their cloud automation journey. These assessments helped us understand the need and effectiveness of automation in cloud pipelines.

Innovation 187

Innovation Cloud DevOps Best Practices 187

Dynatrace

MAY 23, 2022

In addition, as businesses of all kinds adopt cloud-native and open source technologies, their environments become more flexible. Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — deliver business agility, but also create complexity for which many security solutions weren’t designed.

Strategy 225

Strategy Innovation Cloud Serverless 225

Dynatrace

MARCH 10, 2021

This is exciting because we are seeing AI and ML-driven applications maturing rapidly as a way of mastering performance in hybrid, hyper-scale cloud environments. Conventional (not built for cloud) monitoring tools are not much help. And then add in that modern enterprise cloud environments are dynamic and constantly changing.

AWS 144

AWS Cloud Artificial Intelligence Innovation 144