Dynatrace

APRIL 21, 2023

With constraints on IT resources, downtime shifts staff away from innovation and other strategic work. Those hours spent troubleshooting can be spent innovating,” Smith continued. The post State and local agencies speed incident response, reduce costs, and focus on innovation appeared first on Dynatrace news.

Innovation 188

Innovation Speed Artificial Intelligence Government 188

High Scalability

DECEMBER 16, 2022

Explain cloud computing to me at a professional level? Cloud computing is a model of computing that delivers computing services over the internet, including storage, data processing, and networking. Another key benefit of cloud computing is its reliability and availability. Which cloud provider would you recommend?

Cloud 201

Cloud Serverless Internet Internet 201

Scalegrid

JANUARY 11, 2024

What does it take to secure your cloud assets effectively? Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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 130

Artificial Intelligence Cloud Best Practices DevOps 130

Dynatrace

JULY 13, 2021

While increased frequency of release cycles does allow for faster delivery of innovation to the market, it requires automation and a high level of reliability to avoid introducing risks into production systems. Now we’re happy to announce the release of Cloud Automation quality gates. Shift left your SRE practices.

Cloud 243

Cloud DevOps Benchmarking Speed 243

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 181

Cloud Infrastructure Innovation Monitoring 181

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.

Infrastructure 232

Infrastructure Cloud Java Azure 232

Dynatrace

APRIL 11, 2023

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. In many cases, organizations don’t discover vulnerabilities until after they have been exploited.

Cloud 192

Cloud DevOps Open Source Retail 192

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. Our Cloud Automation Roadshow brings the latest cloud-native automation practices to our attendees. Cloud Automation SLIs and SLOs can be changed through your git service and process of choice.

Cloud 214

Cloud DevOps Azure Virtualization 214

Dynatrace

FEBRUARY 15, 2023

These executives also know teams that can address problems and situations with collaborative data analysis and conduct exploratory analytics have a competitive advantage. This easy, flexible means to visualize and analyze data sets in consumable formats is known as exploratory data analysis.

Analytics 130

Analytics Government Media C++ 130

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 226

Google Cloud Serverless Innovation 226

Dynatrace

JULY 23, 2020

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. Custom log metrics. Synthetic monitor metrics.

Metrics 215

Metrics Innovation Strategy Monitoring 215

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. With higher demand for innovation, IT teams are working diligently to release high-quality software faster. But this task has become challenging. “The

Engineering 249

Engineering DevOps Innovation Storage 249

Dynatrace

NOVEMBER 29, 2022

And it’s a crucial step toward achieving cloud automation on the path to NoOps. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. So we built one: The Dynatrace Cloud Automation control plane. Cloud Automation use cases.

Infrastructure 176

Infrastructure Code Cloud DevOps 176

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. Further, automation has become a core strategy as organizations migrate to and operate in the cloud.

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

JUNE 16, 2020

Over the years however, classic mainframe environments have been transformed, with their services frequently linked to distributed systems or an enterprise cloud. A further Dynatrace capability for revealing savings is the multidimensional analysis of CPU time related anomalies. Prerequisites.

Innovation 152

Innovation Metrics Infrastructure Programming 152

Dynatrace

MARCH 6, 2024

To unlock the agility to drive this innovation, organizations are embracing multicloud environments and Agile delivery practices. This fragmented approach leaves teams struggling to access the answers they need to accelerate innovation and optimize digital services effectively.

Analytics 196

Analytics Innovation Strategy Storage 196

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 188

Cloud DevOps Strategy Monitoring 188

Dynatrace

MARCH 18, 2024

Overseeing cloud spend and IT resource allocation has always been a priority for CIOs. Yet, in 2023, 82% of cloud decision makers reported that managing cloud spend was their top challenge, according to one source. Teams provision and purchase many cloud services that end up underused or completely unused.

Best Practices 237

Best Practices Strategy Cloud AWS 237

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.

Cloud 261

Cloud Azure Analytics Open Source 261

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 184

Azure Analytics Artificial Intelligence Innovation 184

Dynatrace

DECEMBER 13, 2023

This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. Organizations’ increased use of AI will be a key driver of this trend as it boosts cloud resource consumption, resulting in expanded scope 3 emissions. Technology prediction No.

Technology 208

Technology Technology Artificial Intelligence Analytics 208

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 146

AWS Cloud Artificial Intelligence Innovation 146

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. 05:00 – Quick Start – Connect Cloud Automation.

DevOps 245

DevOps Open Source Cloud Azure 245

Dynatrace

JANUARY 16, 2020

One of the fundamental differences between machine learning systems and the artificial intelligence (AI) at the core of the Dynatrace Software Intelligence Platform is the method of analysis. Uses a deterministic step-by-step fault-tree analysis, analyzing dependencies to determine true cause and effect. Machine learning systems.

Cloud 157

Cloud Artificial Intelligence Virtualization Efficiency 157

Dynatrace

MARCH 7, 2022

Other benefits include faster software innovation, continuously improved user experiences, and increased operational efficiency, achieved with automatic and intelligent observability. Through customer interviews and financial analysis, Forrester found that a composite organization will experience benefits of $20.16 Dynatrace news.

Healthcare 230

Healthcare Innovation Efficiency DevOps 230

Dynatrace

MARCH 27, 2024

Today’s applications are cloud-native, microservices-based, and extend across both the cloud and on-premises servers. In complex, distributed cloud-native environments, observability is powerful, as it shows teams exactly when problems occur and how to proactively solve them. There are no more unknown unknowns.

Government 163

Government Network Artificial Intelligence Cloud 163

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

Lambda 229

Lambda AWS Serverless Latency 229

Dynatrace

FEBRUARY 10, 2022

Today, businesses are racing ever faster to accommodate customer demands and innovate without sacrificing product quality or security. As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage.

Artificial Intelligence 189

Artificial Intelligence Performance Innovation Speed 189

The Netflix TechBlog

MARCH 5, 2019

This freedom allows teams and individuals to move fast to deliver on innovation and feel responsible for quality and robustness of their delivery. All these micro-services are currently operated in AWS cloud infrastructure. In the next section, we will highlight some high level areas of focus in each dimension of our infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

NOVEMBER 9, 2021

The driver for APM to Observability is the complexity cloud environments bring to organizations. The cloud is where Enterprise organizations are transforming, and dynamic multi-clouds are the platform of choice. Traditional approaches and tooling simply don’t work in the new cloud world. DevOps and Cloud Ops Automation.

DevOps 223

DevOps Innovation Cloud Programming 223

Dynatrace

FEBRUARY 28, 2024

The containers can run anywhere, whether a private data center, the public cloud or a developer’s own computing devices. It’s supported by the VA Enterprise Cloud (VAEC), a multi-vendor, FedRAMP High environment for hosting VA applications in the cloud. VAPO is available in both Microsoft Azure and AWS.

Monitoring 188

Monitoring Artificial Intelligence Performance Healthcare 188

Dynatrace

APRIL 20, 2022

In October 2021, Dynatrace announced the availability of the Dynatrace Software Intelligence Platform on Google Cloud as a software as a service (SaaS) solution. Dynatrace and Google Cloud play a critical role in helping customers accelerate their digital transformation initiatives.

Google 243

Google Availability Cloud Infrastructure 243

Dynatrace

OCTOBER 17, 2023

The rise of cloud-native microservice architectures further exacerbates this change. Customers experience delayed time to value from the data they’re ingesting as they must take additional steps to make the data useful for troubleshooting and analysis, such as re-indexing. Increased data ingestion at reduced costs.

Retail 242

Retail Storage Best Practices Architecture 242

Dynatrace

JUNE 26, 2023

Software automation is the practice of creating software applications to reduce or eliminate human intervention in repetitive, time-consuming IT tasks and cloud operations. It provides valuable insight into complex public, private, and hybrid cloud IT structures, systems, and frameworks. Cloud automation.

Software 192

Software Software Analytics Big Data 192

Dynatrace

APRIL 25, 2023

Innovating with software is happening faster than ever. This is due to a number of factors, including the rise of cloud infrastructure, automation, and an abundance of prebuilt open-source libraries and third-party/supply-chain products. Agencies cannot afford to sacrifice security for innovation.

Government 218

Government Innovation Open Source Traffic 218

Dynatrace

OCTOBER 4, 2023

Certain technologies can support these goals, such as cloud observability , workflow automation , and artificial intelligence. Companies that exploit these technologies can discover risks early, remediate problems, and to innovate and operate more efficiently are likely to achieve competitive advantage.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173