Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. It also shows how data observability relates to business outcomes as organizations embrace generative AI. GenAI is prone to erratic behavior due to unforeseen data scenarios or underlying system issues.

Cache 206

Cache Azure Infrastructure Monitoring 206

Dynatrace

JULY 23, 2020

This release extends auto-adaptive baselines to the following generic metric sources, all in the context of Dynatrace Smartscape topology: Built-in OneAgent infrastructure monitoring metrics (host, process, network, etc.). Synthetic monitor metrics. Cloud platform metrics (AWS, Azure, Kubernetes, etc.). Dynatrace news.

Metrics 212

Metrics Innovation Strategy Monitoring 212

Dynatrace

JUNE 7, 2023

Businesses in all sectors are introducing novel approaches to innovate with generative AI in their domains. This is achieved by using OpenAI services to compute numerical representations of text data that ease the computation of text similarity, called “embeddings,” for the documents as well as for the user input.

Monitoring 165

Monitoring Latency Metrics Azure 165

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. Collecting data requires massive and ongoing configuration efforts.

Cloud 260

Cloud Azure Analytics AWS 260

Dynatrace

FEBRUARY 16, 2023

But the cloud also produces an explosion of data. And with that data comes the thorn to the cloud’s rose: increased complexity. The cloud is delivering an explosion of data and an incredible increase in its complexity. We start with data types—logs, metrics, traces, routes.

Artificial Intelligence 195

Artificial Intelligence Analytics Cloud Innovation 195

SQL Performance

APRIL 15, 2020

SQL Server has always provided the ability to capture actual queries in an easily-consumable rowset format – first with legacy SQL Server Profiler, later via Extended Events, and now with a combination of those two concepts in Azure SQL Database. Unfortunately, my excitement was short lived for a couple of reasons.

Azure 96

Azure Database Tuning Network 96

Dynatrace

SEPTEMBER 5, 2023

Organizations have clearly experienced growth, agility, and innovation as they move to cloud computing architecture. Organizations face cloud complexity, data explosion, and a pronounced lack of ability to manage their cloud environments effectively. quintilion bytes of data each day. McConnell said.

Cloud 224

Cloud Artificial Intelligence Innovation Azure 224

Dynatrace

JUNE 26, 2019

Dynatrace Synthetic is a monitoring solution you can use to check the availability and performance of your web applications under clean-room conditions. With performance monitors executed at regular intervals from Synthetic monitoring locations worldwide, you can easily compare application performance with real-user experience.

Monitoring 104

Monitoring Azure Tuning Innovation 104

Dynatrace

NOVEMBER 2, 2023

The result is smarter, data-driven solutions designed to manage cloud spend. It involves a greater effort to transition teams from a data center approach to a cost-effective cloud consumption mentality. Adopting observability and monitoring tools can effectively detect and eliminate unused resources to prevent waste.

Cloud 197

Cloud Strategy Retail Energy 197

Scalegrid

MARCH 22, 2024

Key Takeaways Multi-cloud strategies have become increasingly popular due to the need for flexibility, innovation, and the avoidance of vendor lock-in. Yet it reveals a migration trajectory favoring multi-cloud models as companies wake up to advantages such as heightened innovation potential tied with these varied service structures.

Strategy 130

Strategy Cloud Government Innovation 130

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 238

Performance Analytics Mobile Innovation 238

Dynatrace

JULY 16, 2021

The innovative technology powering these recent and future use cases comes from Keptn , our recognized CNCF open-source project. If you want more information on Keptn, then I suggest joining the Keptn Open Source community and help us drive innovation that benefits both the open-source project and Dynatrace Cloud Automation Solution.

DevOps 245

DevOps Open Source Cloud Azure 245

Dynatrace

APRIL 10, 2023

And according to recent data from Enterprise Strategy Group, 59% of survey respondents indicated spending on public cloud applications would increase in 2023. shifted most of its ecommerce and enterprise analytics workloads to Kubernetes-managed software containers running in Microsoft Azure. ” Three years ago, Tractor Supply Co.

Cloud 173

Cloud Ecommerce Performance Retail 173

Scalegrid

JANUARY 8, 2024

By analyzing real-time data, AI-based models can: Adjust the allocation of resources in response to demand Boost business performance Reduce unnecessary expenditures Lead to significant cost savings Improve scalability Operational Efficiency through Automation Automation is a significant way AI enhances cloud operations.

Artificial Intelligence 147

Artificial Intelligence Cloud Scalability Analytics 147

Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. This orchestration includes provisioning, scheduling, networking, ensuring availability, and monitoring container lifecycles.

Infrastructure 187

Infrastructure Open Source Operating System Cloud 187

Dynatrace

APRIL 15, 2022

But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. “Second, we wanted to improve our rollout of the DevSecOps capability, as well as improve our agility and our ability to innovate faster.” In 48 hours, we had a total of 6,500 servers monitored.”

Cloud 178

Cloud Infrastructure Innovation Monitoring 178

Dynatrace

NOVEMBER 11, 2021

Increasingly, organizations see IT modernization as their on-ramp to product innovation and cost reduction. Data confirms Aggarwal’s conclusions. According to Forrester Research, the COVID-19 pandemic fueled investment in “hyperscaler public clouds”—Amazon Web Services (AWS), Google Cloud Platform and Microsoft Azure.

AWS 215

AWS Cloud Lambda Azure 215

Dynatrace

MAY 23, 2024

Dynatrace ® AppEngine features a no- and low-code toolset and leverages Davis AI to empower teams to easily create and share custom, intelligent, and secure apps that leverage insights from data generated by their clouds. The following figure shows the benefits of Azure Native Dynatrace Service.

Azure 226

Azure Cloud Metrics Innovation 226

Dynatrace

JUNE 15, 2023

In general, cloud application security involves authentication and access control, data encryption, identity and user management, and vulnerability management. It also entails secure development practices, security monitoring and logging, compliance and governance, and incident response. Why is cloud application security so critical?

Cloud 178

Cloud Open Source Architecture Monitoring 178

Dynatrace

JULY 30, 2021

And, as we at Dynatrace have innovated through our CNCF project Keptn and just brought answer-driven release validation to our Dynatrace Cloud Automation solution it was easy to pick a new name for our new tour: “Cloud Automation Workshop Tour”. Last week we kicked it off with a three-hour virtual hands-on workshop.

Cloud 213

Cloud DevOps Azure Virtualization 213

Dynatrace

SEPTEMBER 4, 2020

Thanks to its event-driven architecture, Keptn can pull SLIs (=metrics) from different data sources and validate them against the SLOs. Currently supported data sources are Prometheus , Dynatrace , Neoload with others in the works, e.g. Wavefront. Together we can drive even more innovation.

DevOps 247

DevOps Metrics Innovation Azure 247

Dynatrace

NOVEMBER 22, 2021

Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. As organizations move workloads and software development to multicloud environments to operate more efficiently and flexibly, traditional monitoring tools often fall short. Modern approaches to observability for multicloud environments.

AWS 230

AWS Lambda Artificial Intelligence Serverless 230

Dynatrace

APRIL 17, 2019

If you hadn’t already heard the news, the entire Dynatrace team is immensely proud to once again been positioned as a Leader in the Gartner 2019 Magic Quadrant for Application Performance Monitoring (APM). We believe this recognition is a testament to the company’s drive to constantly innovate and be the best in all that we do.

Innovation 135

Innovation Virtualization Cloud Azure 135

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. You must bring your laptop to participate.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

JUNE 8, 2022

More than 95% of Fortune 500 companies use Microsoft Azure. Azure provides a wide variety of cloud services with globally distributed applications. Running containers in the cloud is also a very popular use case for Azure. These challenges make Azure observability critical for building and monitoring cloud-native applications.

Azure 185

Azure Performance Infrastructure Cloud 185

Alex Podelko

JUNE 12, 2019

If we speak about commercial load testing tools, we see rather a shrinking market and not too much innovation recently. Microsoft announced that cloud-based load testing in Microsoft Visual Studio and cloud-based load testing in Azure DevOps will be retired. Well, yes and no. I am not so upbeat as I was in 2014. Open Source.

Testing 243

Testing Open Source Testing Tools Performance Testing 243

Dynatrace

JUNE 8, 2022

Dynatrace has enhanced its partnership with Microsoft Azure, providing users a quick and easy path to purchasing, configuring, and managing Dynatrace directly inside the Microsoft Azure Portal. Dynatrace is excited to announce this enhancement is now in public preview for any Azure customer to evaluate. Dynatrace news.

Azure 238

Azure Cloud Virtualization Innovation 238

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. As organizations shift to hybrid cloud environments, there are two platforms really dominating the market and Microsoft Azure is the fastest growing with adoption rates skyrocketing.

Azure 249

Azure Serverless Innovation Cloud 249

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. Azure Functions in a nutshell. Dynatrace news.

Serverless 237

Serverless Azure Monitoring Lambda 237

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. Azure Functions in a nutshell. Dynatrace news.

Serverless 142

Serverless Azure Monitoring Lambda 142

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. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 210

Analytics Monitoring Artificial Intelligence DevOps 210

Dynatrace

NOVEMBER 20, 2023

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. Generative AI brings data quality risks But generative AI also brings risks in terms of data quality. What is predictive AI?

AWS 210

AWS Artificial Intelligence Analytics Cloud 210

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

ScaleOut Software

JUNE 15, 2020

thousands of data sources. Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

thousands of data sources. Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

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. Every component has its own siloed cloud monitoring tool, with its own set of data.

Cloud 157

Cloud Monitoring Latency Games 157

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. This combination allows for the fluid movement of data and applications across different environments, facilitating shared workloads seamlessly.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130