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.

Metrics 223

Metrics Innovation Strategy Monitoring 223

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.

Infrastructure 188

Infrastructure Monitoring Artificial Intelligence Open Source 188

Dynatrace

NOVEMBER 2, 2020

IT infrastructure is the heart of your digital business and connects every area – physical and virtual servers, storage, databases, networks, cloud services. We’ve seen the IT infrastructure landscape evolve rapidly over the past few years. What is infrastructure monitoring? . Dynatrace news.

Infrastructure 213

Infrastructure Monitoring Virtualization Serverless 213

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.

Infrastructure 194

Infrastructure Cloud Azure AWS 194

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 186

Infrastructure Cloud Scalability AWS 186

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 226

Infrastructure Big Data Transportation Architecture 226

Dynatrace

NOVEMBER 20, 2024

This enables Dynatrace customers to achieve faster time-to-value and accelerate innovation. This latest integration with Microsoft Sentinel expands our partnership, providing joint customers with a holistic view of their entire cloud environment; from application to infrastructure, data, and security. “As

Best Practices 278

Best Practices Innovation Azure Cloud 278

Dynatrace

NOVEMBER 29, 2022

Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Infrastructure-as-code. But how does it work in practice?

Infrastructure 183

Infrastructure Code Cloud DevOps 183

Dynatrace

JUNE 16, 2020

This real-time visibility, as well as proven code-level analysis from cloud to the mainframe, gives enterprises a huge competitive advantage—they can eliminate inefficiencies and consequently, innovate at a faster rate. Easily achieve a cost-effective IBM Z configuration by monitoring relevant infrastructure metrics.

Innovation 153

Innovation Metrics Infrastructure Programming 153

Dynatrace

FEBRUARY 16, 2023

Three pillars of observability converge with context and business data at the massive scale of Grail The Dynatrace Software Intelligence Platform has always brought the full value of logs, metrics, and traces together with context and user data for AI-powered analysis. But logs are just one pillar of the observability triumvirate.

Analytics 198

Analytics Innovation Metrics Database 198

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. These DevSecOps trends will also aid teams as they integrate security and compliance into processes without slowing innovation or creating additional work for already time-strapped teams. Dynatrace news.

Serverless 278

Serverless Infrastructure Innovation DevOps 278

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Dynatrace news.

DevOps 242

DevOps Innovation Infrastructure Cloud 242

Dynatrace

FEBRUARY 10, 2023

Data proliferation—as well as a growing need for data analysis—has accelerated. They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results.

Efficiency 287

Efficiency Performance Analytics DevOps 287

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 249

Performance Mobile Analytics Innovation 249

Dynatrace

NOVEMBER 2, 2020

Cloud computing skyrocketed onto the market 20+ years ago and has been widely adopted for the scalability and accelerated innovation it brings organization. Azure shines when it comes to building and running your software with speed and agility, empowering developers to build productively and innovate faster. Dynatrace news.

Azure 256

Azure Serverless Innovation Cloud 256

Dynatrace

APRIL 19, 2021

In the Magic Quadrant report, Gartner defines APM as, “software that enables the observation of application behavior and its infrastructure dependencies, users, and business key performance indicators (KPIs) throughout the application’s life cycle.” It’s this combination that helps our customers deal with the explosion of observability data.

DevOps 270

DevOps Innovation Speed Infrastructure 270

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

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Increased business innovation. However, AIOps makes it possible to automate key tasks, such as error detection, alert analysis, and event reporting.

Artificial Intelligence 298

Artificial Intelligence Cloud Innovation Strategy 298

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.

Engineering 254

Engineering DevOps Innovation Storage 254

Dynatrace

JUNE 26, 2024

5, including: Configuration Change Control and CM-4 – Impact Analysis now requires privacy impact analysis for configuration changes. government’s mission-critical applications by optimizing performance, reducing costs, and driving innovation, ultimately leading to improved service delivery for the public.

Government 254

Government Programming Cloud Innovation 254

Dynatrace

SEPTEMBER 21, 2023

The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing. Given the benefits of these innovations, organizations can’t afford to pull back on their efforts to build AI and shift more workloads to the cloud.  That’s why we developed Carbon Impact.

Energy 245

Energy Cloud Airlines Strategy 245

Dynatrace

AUGUST 30, 2023

GKE Autopilot empowers organizations to invest in creating elegant digital experiences for their customers in lieu of expensive infrastructure management. Dynatrace’s collaboration with Google addresses these needs by providing simple, scalable, and innovative data acquisition for comprehensive analysis and troubleshooting.

Google 233

Google Cloud Innovation Infrastructure 233

Dynatrace

DECEMBER 12, 2024

At the time when I was building the most innovative observability company, security seemed too distant. Configuration and Compliance , adding the configuration layer security to both applications and infrastructure and connecting it to compliance.

Analytics 214

Analytics Government Efficiency Innovation 214

Dynatrace

NOVEMBER 20, 2020

A new wave of innovation for AIOps. We believe the new Forrester Wave for AIOps confirms Dynatrace’s recognition that AI and automation have radically changed the game in operations and are driving the next innovation cycle in enterprise software to help organizations respond faster and more accurately to anomalies.

Artificial Intelligence 261

Artificial Intelligence Serverless Analytics Innovation 261

Dynatrace

OCTOBER 3, 2024

Teams need a better way to work together, eliminate silos and spend more time innovating. Avoid flying blind by adopting software development lifecycle events With the need for increased innovation frequency, having a clear view of the entire software development lifecycle (SDLC) is critical.

Performance 259

Performance Architecture Innovation Latency 259

Dynatrace

APRIL 20, 2022

From application and infrastructure monitoring to digital experience and application security, Google Cloud customers will get the full benefits of the Dynatrace platform. This enables organizations to tame cloud complexity, minimize risk, and reduce manual effort so teams can focus on driving innovation.

Google 245

Google Availability Cloud Infrastructure 245

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. The latest Amazon Lambda innovation, Lambda SnapStart, has day one support from Dynatrace. What is Lambda?

Lambda 235

Lambda AWS Serverless Latency 235

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 237

Healthcare Innovation Efficiency DevOps 237

Dynatrace

OCTOBER 29, 2024

And it enables executives to have unprecedented insight into how user experiences, applications and underlying infrastructure health can power their business. This meant better service reliability, reduced costs, and less time spent on incident management—enabling their teams to focus on innovation. The result?

Innovation 230

Innovation Strategy Cloud AWS 230

Dynatrace

MAY 2, 2024

Tech Transforms podcast: It’s time to get familiar with generative AI – blog Generative AI can unlock boundless innovation. Hybrid cloud infrastructure explained: Weighing the pros, cons, and complexities – blog While hybrid cloud infrastructure increases flexibility, it also introduces complexity. What is generative AI?

Artificial Intelligence 242

Artificial Intelligence Cloud Best Practices DevOps 242

Dynatrace

DECEMBER 2, 2024

On average, organizations use 10 different tools to monitor applications, infrastructure, and user experiences across these environments. With AIOps, it is possible to detect anomalies automatically with root-cause analysis and remediation support.

Artificial Intelligence 190

Artificial Intelligence DevOps Architecture Cloud 190

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. “Logging” is the practice of generating and storing logs for later analysis. Dynatrace news. billion in 2020 to $4.1 What is log monitoring?

Analytics 222

Analytics Monitoring Artificial Intelligence DevOps 222

The Netflix TechBlog

APRIL 29, 2019

An easy, though imprecise, way of thinking about Netflix infrastructure is that everything that happens before you press Play on your remote control (e.g., Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. are you logged in?

Open Source 280

Open Source Network Infrastructure Big Data 280

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 195

Artificial Intelligence Performance Innovation Speed 195

Dynatrace

APRIL 20, 2022

Amazon Elastic Kubernetes Service is a managed infrastructure service offered by Amazon Web Services that executes and scales Kubernetes applications in the AWS cloud. Customers can use EKS Blueprint to quickly and easily bundle a series of open source services when deploying the EKS infrastructure to Amazon Web Services.?EKS

AWS 229

AWS Infrastructure Open Source Best Practices 229

Dynatrace

SEPTEMBER 5, 2023

They handle complex infrastructure, maintain service availability, and respond swiftly to incidents. But when these teams work in largely manual ways, they don’t have time for innovation and strategic projects that might deliver greater value.

Artificial Intelligence 271

Artificial Intelligence DevOps Analytics Engineering 271

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. Anomaly detection and precise root-cause-analysis for fast remediation.

Open Source 313

Open Source Traffic DevOps Cloud 313