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. And a staggering 83% of respondents to a recent DevOps Digest survey have plans to adopt platform engineering or have already done so. Data indicates these technology trends have taken hold.

Technology 208

Technology Technology Artificial Intelligence Analytics 208

Dynatrace

FEBRUARY 10, 2023

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. In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics.

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

MAY 23, 2024

Azure Native Dynatrace Service allows easy access to new Dynatrace platform innovations Dynatrace has long offered deep integration into Azure and Azure Marketplace with its Azure Native Dynatrace Service, developed in collaboration with Microsoft. Notebooks offers advanced Azure observability analytics with DQL.

Azure 230

Azure Cloud Metrics Innovation 230

Dynatrace

JANUARY 23, 2024

Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. Check back here throughout the event for the latest news, insights, and announcements.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 208

DevOps Metrics Engineering Analytics 208

The Netflix TechBlog

JANUARY 10, 2024

This introductory blog focuses on an overview of our journey. Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. It served as the foundation for numerous encoding innovations developed by our team. divide the input video into small chunks 2.

Processing 229

Processing Media Latency Innovation 229

Dynatrace

OCTOBER 7, 2020

Our latest innovation for detecting anomalies in metrics, topology-aware Davis-AI auto-adaptive baselining, is unique in that it adapts to changing metric behavior over time, thereby helping you to avoid false-positive alerts. The post Intelligent, context-aware AI analytics for all your custom metrics appeared first on Dynatrace blog.

Metrics 246

Metrics Analytics Storage Monitoring 246

Dynatrace

NOVEMBER 17, 2020

The rapidly evolving digital landscape is one important factor in the acceleration of such transformations – microservices architectures, service mesh, Kubernetes, Functions as a Service (FaaS), and other technologies now enable teams to innovate much faster. The only deterministic and open AI -engine for observability data.

Analytics 159

Analytics Technology Technology Cloud 159

Dynatrace

FEBRUARY 8, 2021

To connect these siloes, and to make sense out of it requires massive manual efforts including code changes and maintenance, heavy integrations, or working with multiple analytics tools. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 261

Cloud Azure Analytics AWS 261

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 242

Performance Analytics Mobile Innovation 242

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. As digital transformation accelerates, organizations need to innovate faster. Dynatrace news.

Serverless 182

Serverless Architecture Open Source Innovation 182

Dynatrace

OCTOBER 25, 2022

The need for developers and innovation is now even greater. Organizations would still need a skeletal staff that can focus on innovation and oversee exception-based operations. By greatly reducing the effort required by the operations side of the equation, teams have more time to innovate and optimize processes.

DevOps 222

DevOps Big Data Cloud Innovation 222

Dynatrace

NOVEMBER 20, 2020

We believe this placement recognizes Dynatrace’s leadership in applying AI, automation, and advanced analytics to business and operations use cases to provide predictive and prescriptive answers to IT issues in real time. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics.

Artificial Intelligence 255

Artificial Intelligence Serverless Analytics Innovation 255

All Things Distributed

NOVEMBER 15, 2016

They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report. Powered by Innovation. QuickSight is built on a large number of innovative technologies to get a business user their first insights fast. How you can get started.

Analytics 152

Analytics Availability Media Social Media 152

The Netflix TechBlog

JANUARY 11, 2022

Here we describe the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix, including how our platform investments support running tests at scale while enabling innovation. Curious to learn more about other Data Science and Engineering functions at Netflix?

Innovation 243

Innovation Metrics Engineering Testing 243

Dynatrace

APRIL 28, 2020

In addition to APM , th is platform offers our customers infrastructure monitoring spanning logs and metrics, digital business analytics, digital experience monitoring, and AIOps capabilities. Our employees listen carefully to our customers and innovate continuously. This combination sets us apart. .

DevOps 248

DevOps Innovation Monitoring Analytics 248

Dynatrace

JULY 25, 2022

Dynatrace uses your data and its sophisticated AI causation engine Davis® to automatically detect performance anomalies in applications, services, and infrastructure. Combining the context of Transit Gateway logs data with the correlation of our AI engine creates a new dimension of network-specific information.

AWS 223

AWS Transportation Network Traffic 223

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications.

Cache 209

Cache Azure Infrastructure Monitoring 209

Dynatrace

AUGUST 10, 2021

Because here is a group of people who thrive on discovering new things, transforming workplaces, and innovating in the true sense of the word, every single day. And, they got the chance to do just that at our recent event, DynatraceGo, which I’ll tell you a bit more about in this blog. DynatraceGo! DynatraceGo! And they were.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

NOVEMBER 22, 2021

Dynatrace extends contextual analytics and AIOps for open observability. Enable autonomous operations, boost innovation, and offer new modes of customer engagement by automating everything. But most of that budget goes toward running the business—not software innovation. AIOps done right. That finding echoes our own research.

AWS 233

AWS Lambda Artificial Intelligence Serverless 233

Dynatrace

JULY 30, 2020

Your systems are managed by US-based and vetted engineers . This s ingle source of truth for all your data means less time troubleshooting and more time innovating.? . At the core of Dynatrace is our AI engine , called Davis. Benefits of Dynatrace for Government includ e : . Minimal infrastructure cost .

Government 210

Government Analytics Cloud Infrastructure 210

Dynatrace

MAY 27, 2022

This automatic analysis enables engineers to spend more time innovating and improving business operations. Each piece of the AIOps triumvirate plays a crucial role in the automation process to speed innovation. For example, a typical use case involves a web server running an analytics and reporting system.

Artificial Intelligence 192

Artificial Intelligence Innovation Servers Database 192

Dynatrace

AUGUST 31, 2020

This marks the fifth consecutive year Dynatrace has appeared on Constellation’s ShortList of DPM leaders, further validating Dynatrace’s commitment to innovating and disrupting the DPM space with our Software Intelligence Platform and AI-engine, Davis. The challenge – and business-critical importance – of mastering DPM.

Monitoring 264

Monitoring DevOps Analytics Innovation 264

The Netflix TechBlog

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

SEPTEMBER 7, 2022

When it comes to dynamic cloud environments, Dynatrace is also an innovator in “modern cloud done right.” Dynatrace uses your data and its sophisticated AI causation engine, Davis® , to automatically detect performance anomalies in your applications, services, and infrastructure. Check out our Power Demo: Log Analytics with Dynatrace.

Traffic 221

Traffic AWS Network Cloud 221

The Netflix TechBlog

JANUARY 25, 2022

Earlier posts covered the basics of A/B tests ( Part 1 and Part 2 ), core statistical concepts ( Part 3 and Part 4 ), how to build confidence in a decision ( Part 5 ), and the the role of Experimentation and A/B testing within the larger Data Science and Engineering organization at Netflix ( Part 6 ).

Education 238

Education Innovation Testing Programming 238

Dynatrace

JANUARY 19, 2021

Actionable analytics across the?entire Serverless can accelerate innovation (and introduce blind spots). Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. The Dynatrace AI engine, Davis,?automatically deterministic AI engine,?Davis,?to

Lambda 214

Lambda Serverless AWS Mobile 214

All Things Distributed

APRIL 5, 2012

Customer Conversations - How Intuit and Edmodo Innovate using Amazon RDS. From tax preparation to safe social networks, Amazon RDS brings new and innovative applications to the cloud. Empowering innovation is at the heart of everything we do at Amazon Web Services (AWS). Whats unique and innovative about your service?

Innovation 146

Innovation AWS Education Network 146

Dynatrace

AUGUST 12, 2020

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Simplify error analytics. Dynatrace news. Optimize timing hotspots.

Serverless 239

Serverless Azure Monitoring Lambda 239

Dynatrace

NOVEMBER 22, 2021

It manages the underlying infrastructure that hosts distributed container-based applications, which frees developers to focus on innovating and developing applications. To gain insight into these problems, software engineers typically deploy application instrumentation frameworks that provide insight into applications and code.

Best Practices 217

Best Practices AWS Monitoring Serverless 217

Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. This requires significant data engineering efforts, as well as work to build machine-learning models.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

Dynatrace

MAY 13, 2020

Your relentless innovation, creativity, and pursuit of ‘better’ is what we believe drives Dynatrace forward. That is why we re-built our platform with our AI-assistance engine, Davis™, built at the core. But first, I’d like to recognize and thank all our Dynatrace partners for your role in our success. Accelerated transformation.

Energy 140

Energy Innovation Analytics Monitoring 140

Dynatrace

MAY 17, 2022

This gives us unified analytics views of node resources together with pod-level metrics such as container CPU throttling by node, which makes problem correlation much easier to analyze. Cloud Native Full Stack injection provides a rock-solid foundation for us to plan the next set of Dynatrace innovations. A look to the future.

Availability 322

Availability Scalability Cloud Metrics 322

Dynatrace

OCTOBER 14, 2021

These systems are often difficult to scale because the underlying ML engine doesn’t provide continuous, real-time insight into the precise root cause of issues. A full-featured deterministic AIOps solution should lead to faster, higher-quality innovation, increased IT staff efficiency, and vastly improved business outcomes.

Artificial Intelligence 218

Artificial Intelligence DevOps Innovation Metrics 218

Dynatrace

OCTOBER 8, 2020

By leveraging the AWS Lambda Extensions API , Dynatrace brings the unique value of its Davis AI-engine for fully automatic root cause analysis to AWS Lambda. Serverless functions extend applications to accelerate speed of innovation. Support for additional deployment tools. So please stay tuned!

Lambda 300

Lambda AWS Programming Serverless 300

Dynatrace

FEBRUARY 6, 2020

To do that, Anita’s team drove innovation around a common delivery pipeline to enable developers automating operational tasks such as runbook execution to solve infrastructure problems. At Dynatrace our ACE team is enabling our engineers to deliver better software faster. Autonomous Cloud with Dynatrace.

Cloud 184

Cloud DevOps Engineering Speed 184

Dynatrace

SEPTEMBER 29, 2021

Containers are the key technical enablers for tremendously accelerated deployment and innovation cycles. Running containers : Docker Engine is a container runtime that runs in almost any environment: Mac and Windows PCs, Linux and Windows servers, the cloud, and on edge devices. appeared first on Dynatrace blog. Why containers?

Open Source 307

Open Source Traffic DevOps Cloud 307