Dynatrace

MARCH 10, 2021

They collect metrics and raise alerts, but they provide few answers as to what went wrong in the first place. We are moving into the 2020s and smart integration and automation are driving the next innovation cycle in digital transformation and enterprise software. Conventional (not built for cloud) monitoring tools are not much help.

AWS 144

AWS Cloud Artificial Intelligence Innovation 144

Tasktop

OCTOBER 12, 2020

If your customers don’t know what’s slowing them down, or why their Agile and DevOps transformations are hitting a wall, then the Flow Partner Program is for you. Now, with the revitalized Flow Partner Program , our partners can access the very latest solutions and training to enjoy the same success. . A leading U.S

Programming 98

Programming DevOps Healthcare Strategy 98

Strategic Tech

MARCH 26, 2019

You will be handing the initiative to your competitors who invested in their software development capabilities and are out-innovating you as a result. How do I create high performing teams to out-innovate the competition? and business innovation speed plummets. What do I measure?

Software Engineering 76

Software Engineering Engineering Software Software 76

Adrian Cockcroft

FEBRUARY 13, 2023

I asked around and heard that they are still working on it, but the AWS hiring freeze means that they don’t have the headcount they expected and are making slow progress on an API, more detailed metrics, and scope 3, which everyone is waiting for. Portfolio is currently reducing Amazons carbon footprint by 19 Million Metric Tons of CO2e.

AWS 64

AWS Energy Architecture Programming 64

Tasktop

OCTOBER 18, 2019

For more on flow metrics, check out my colleague Dominica DeGrandis’ article for Dzone ‘ Flow Metrics: software delivery metrics for business leaders ‘ Likewise, spending all your engineering resources to purchase features without paying down debt is analogous to cutting down the fruit tree to get the fruit faster.

Software 56

Software Software DevOps Metrics 56

Dynatrace

OCTOBER 17, 2022

Thus, modern AIOps solutions encompass observability, AI, and analytics to help teams automate use cases related to cloud operations (CloudOps), software development and operations (DevOps), and securing applications (SecOps). DevOps: Applying AIOps to development environments. The deviating metric is response time.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

Dynatrace

OCTOBER 14, 2021

Here, we’ll discuss the AIOps landscape as it stands today and present an alternative approach that truly integrates artificial intelligence into the DevOps process. They require extensive training, and real-user must spend valuable time filtering any false positives. training data) that the algorithm can then learn from.

Artificial Intelligence 211

Artificial Intelligence DevOps Innovation Metrics 211

Dynatrace

JUNE 1, 2023

Certain SLOs can help organizations get started on measuring and delivering metrics that matter. But the pressure on CIOs to innovate faster comes at a cost. In this post, I’ll lay out five foundational service level objective examples that every DevOps and SRE team should consider.

Latency 176

Latency Website Traffic Virtualization 176

Dynatrace

JUNE 1, 2023

Certain service-level objective examples can help organizations get started on measuring and delivering metrics that matter. But the pressure on CIOs to innovate faster comes at a cost. In this post, I’ll lay out five SLO examples that every DevOps and SRE team should consider.

Traffic 173

Traffic Latency Website Virtualization 173

Dynatrace

JANUARY 31, 2024

In the age of AI, data observability has become foundational and complementary to AI observability, data quality being essential for training and testing AI models. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe.

DevOps 193

DevOps Analytics Airlines Metrics 193

Tasktop

OCTOBER 30, 2019

We’re delighted to announce a limited release to a community near and dear to us at the DevOps Enterprise Summit – learn more from our CEO and founder, Dr. Mik Kersten. . ” Product-thinking and secure delivery – DevOps Enterprise Summit 2019 – Day One Recap . Day two recap. Roberts agreed. Excellence in action.

DevOps 8

DevOps Education Innovation Metrics 8

Tasktop

OCTOBER 21, 2019

For us, it’s all about participating in one of our favorite events of the year — DevOps Enterprise Summit 2019. Mik Kersten launched his Amazon best-selling book Project to Product and the pioneering the Flow Framework —we come bearing gifts (and the latest empirical knowledge) to help attendees with their DevOps transformation.

DevOps 9

DevOps Education Metrics Virtualization 9

Tasktop

OCTOBER 29, 2019

Gene Kim’s opening remarks to a DevOps Enterprise Summit are always a welcome tonic for the IT community. Quoting Deloitte’s Jon Smart’s definition of DevOps to demonstrate his point, Gene emphasized that the audience’s focus should be on “better value sooner, safer, happier.” Lunchtime fixes could often be made on the spot.”

DevOps 9

DevOps Healthcare Engineering Speed 9

Dynatrace

SEPTEMBER 28, 2020

The study for the ISG Provider Lens ™ Cloud-Native Observability Quadrant measures the breadth, depth, quality, and vision of a product portfolio’s offering, and its competitive strength in the marketplace, customer satisfaction, business innovation, and go-to-market strength.

Cloud 244

Cloud Serverless Innovation Architecture 244

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. Research from 2020 suggests that training a single LLM generates around 300,000 kg of carbon dioxide emissions—equal to 125 round-trip flights from New York to London.

Energy 233

Energy Cloud Airlines Strategy 233

Dynatrace

APRIL 14, 2020

Well, that’s exactly what the Dynatrace University team did to support Dynatrace’s hands-on training (HoT) days at Dynatrace’s annual user conference Perform in Las Vegas. The Dynatrace dashboard below that shows the thousands of EC2 instances coming up and then being removed at the close of the training. True DevOps culture in action!

AWS 165

AWS Lambda Performance Infrastructure 165

Dynatrace

MARCH 16, 2021

The traditional machine learning approach relies on statistics to compile metrics and events and produce a set of correlated alerts. It takes times to train statistics-based machine learning solutions, and this approach doesn’t scale easily with modern, dynamic cloud-native environments.

Artificial Intelligence 191

Artificial Intelligence Open Source Cloud Analytics 191

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Those in the boardroom have just as much to gain from adopting APM solutions as those on the front lines of DevOps efforts. Increased time spent on innovation.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Tasktop

JUNE 20, 2019

Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Creates a modular, Agile toolchain: Software innovators require a best-of-breed tool strategy. After attending training, you will have the knowledge to become a VSM ambassador at your organization or agency.

Development 45

Development DevOps Google Innovation 45

Percona

JUNE 22, 2023

” Here are additional metrics used to determine the reliability of a database, make adjustments that minimize downtime, and set benchmarks for meeting business continuity requirements. Unlike targeted testing of traditional DevOps procedures, chaos engineering is widespread throughout the entire system.

Availability 109

Availability Database Open Source Hardware 109

High Scalability

NOVEMBER 25, 2019

There are 200 Engineers(DevOps/OPS/QA/Developers/…), the rest are sales, marketing, support, product management, HR, etc. It's a big team, we have Product managers, UX team, DevOps, scrum teams, architects, engineers performing various roles. AWS : Their pace of innovation is admiring. How Is Your Team Setup?

Architecture 52

Architecture Cache Azure Storage 52