Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 196

Software Software Analytics Big Data 196

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 212

Technology Technology Artificial Intelligence Analytics 212

Dynatrace

SEPTEMBER 5, 2023

But when these teams work in largely manual ways, they don’t have time for innovation and strategic projects that might deliver greater value. By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations.

Artificial Intelligence 270

Artificial Intelligence DevOps Analytics Engineering 270

Dynatrace

FEBRUARY 15, 2023

Exploratory analytics is an essential capability for organizations to discover the stories hiding in their data. Visual data analytics with collaborative input from IT, development, security, and business teams makes those stories reveal themselves and helps teams immediately understand—and act on—their business impact.

Analytics 130

Analytics Government Media C++ 130

Dynatrace

DECEMBER 12, 2023

As they continue on this path, organizations expect other benefits , from enabling business users to easily customize dashboards (54%) to building interactive queries for analytics (48%). DevOps teams , for example, can focus on driving innovation instead of grinding through manual jobs.

Artificial Intelligence 215

Artificial Intelligence DevOps Analytics Strategy 215

Dynatrace

DECEMBER 15, 2022

However, organizational efficiency can’t come at the expense of innovation and growth. As a result, teams can accelerate the pace of digital transformation and innovation instead of cutting back. 2: Observability, security, and business analytics will converge as organizations strive to tame the data explosion.

Artificial Intelligence 260

Artificial Intelligence Analytics Innovation Healthcare 260

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. DevOps teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting.

DevOps 239

DevOps Innovation Infrastructure Analytics 239

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. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

Performance 195

Performance DevOps Innovation Artificial Intelligence 195

Dynatrace

APRIL 11, 2023

For example, in a recent study , 55% of security teams say they don’t trust developers, and 49% of developers perceive security teams as a blocker to innovation. And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration.

Cloud 195

Cloud DevOps Open Source Retail 195

Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. The most likely beneficiaries of generative AI The top three areas most likely to benefit from generative AI are IT operations (72%), cybersecurity (47%), and application development or DevOps (30%).

Artificial Intelligence 191

Artificial Intelligence DevOps Strategy Open Source 191

Dynatrace

NOVEMBER 22, 2021

Its approach to serverless computing has transformed DevOps. Dynatrace extends contextual analytics and AIOps for open observability. Enable autonomous operations, boost innovation, and offer new modes of customer engagement by automating everything. DevOps/DevSecOps with AWS. 2021 DevOps Report. Learn more here.

AWS 235

AWS Lambda Artificial Intelligence Serverless 235

Dynatrace

OCTOBER 25, 2022

NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. For most teams, evolving their DevOps practices has been challenging enough. The need for developers and innovation is now even greater. Thus, the concept of NoOps takes DevOps a step further.

DevOps 225

DevOps Big Data Cloud Innovation 225

Dynatrace

NOVEMBER 7, 2023

Centralization of platform capabilities improves efficiency of managing complex, multi-cluster infrastructure environments According to research findings from the 2023 State of DevOps Report , “36% of organizations believe that their team would perform better if it was more centralized.” Ensure that you get the most out of your product.

Engineering 283

Engineering DevOps Best Practices Infrastructure 283

Dynatrace

AUGUST 7, 2023

These precise answers and intelligent automations free security analysts from manual activities and enable them to focus on innovating. To address this, organizations are integrating DevOps and security, or “DevSecOps,” to detect and respond to software vulnerabilities in development and production faster and more efficiently.

DevOps 194

DevOps Analytics Best Practices Java 194

Dynatrace

JUNE 6, 2023

Adopting this powerful tool can provide strategic technological benefits to organizations — specifically DevOps teams. This complexity has surfaced seven top Kubernetes challenges that strain engineering teams and ultimately slow the pace of innovation. AI-powered analytics. Acceleration of innovation. What is Kubernetes?

Open Source 201

Open Source Storage Analytics Innovation 201

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. DevOps best practices include testing within the CI/CD pipeline, also known as shift-left testing. Dynatrace news.

Monitoring 210

Monitoring Software Software DevOps 210

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. The rise of data observability in DevOps Data forms the foundation of decision-making processes in companies across the globe. Data observability is becoming a mandatory part of business analytics, automation, and AI.

DevOps 201

DevOps Analytics Airlines Metrics 201

Dynatrace

AUGUST 26, 2020

Today, the AI Breakthrough Awards announced its 2020 winners , recognizing the leading AI innovators and solutions. All of this enables DevOps teams to spend more time on innovative, value-adding activities, as Davis continuously monitors for errors or system degradations. The difference Davis makes.

Engineering 305

Engineering DevOps Innovation AWS 305

Dynatrace

FEBRUARY 28, 2024

As a result, businesses and SREs can redirect their manual diagnostic efforts toward fostering innovation. In the next blog post, we’ll discuss the integration of security modules into the DevOps process with the aim of achieving DevSecOps. Configure an action for the Site Reliability Guardian in the workflow.

DevOps 212

DevOps Metrics Engineering Analytics 212

Dynatrace

NOVEMBER 20, 2023

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. So, what is artificial intelligence? Enter causal AI. What is predictive AI? What is AIOps?

AWS 218

AWS Artificial Intelligence Analytics Cloud 218

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. Simplify error analytics.

Lambda 232

Lambda AWS Serverless Latency 232

Dynatrace

SEPTEMBER 23, 2022

Log management and analytics have become a particular challenge. Instead, as IT pros adopt IT automation and AIOps (or AI for IT operations), IT teams can focus on innovative, high-value tasks that drive better business outcomes. First, if organizations want to drive greater innovation and efficiency, they need to shift.

Cloud 185

Cloud Artificial Intelligence Innovation Analytics 185

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. The Dynatrace modern observability platform enables DevOps teams to develop a digitally immune system using a unified data platform. How to achieve digital immunity with a unified data platform.

Software 205

Software Software Artificial Intelligence DevOps 205

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. CloudOps: Applying AIOps to multicloud operations.

DevOps 205

DevOps Artificial Intelligence Healthcare Innovation 205

Dynatrace

MAY 8, 2023

Some of the benefits organizations seek from digital transformation journeys include the following: Increased DevOps automation and efficiency. Digital transformation security risks Increasingly, observability of DevOps workflows is converging with application security. Previously, they had 12 tools with different traffic thresholds.

Strategy 183

Strategy Retail DevOps Education 183

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

Artificial Intelligence 183

Artificial Intelligence DevOps Analytics Cloud 183

Dynatrace

APRIL 28, 2020

Also , in a field of fifteen vendors analy z ed by Gartner, Dynatrace received the highest scores in five of six critical capabilities use cases: CloudOps, DevOps Release, IT Operations, Application Support, and Application Development. . Our employees listen carefully to our customers and innovate continuously.

DevOps 251

DevOps Innovation Monitoring Analytics 251

Dynatrace

SEPTEMBER 23, 2022

Log management and log analytics have become a particular challenge. Instead, as IT pros adopt IT automation and AIOps (or AI for IT operations), IT teams can focus on innovative, high-value tasks that drive better business outcomes. First, if organizations want to drive greater innovation and efficiency, they need to shift.

Cloud 148

Cloud Artificial Intelligence Innovation Analytics 148

Dynatrace

FEBRUARY 12, 2024

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). According to Gardner, teams gradually deliver software to user groups with progressive delivery.

Engineering 190

Engineering Development Infrastructure Cloud 190

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. Dynatrace news. This is fueling key DevSecOps trends in 2022.

Serverless 275

Serverless Infrastructure Innovation DevOps 275

Dynatrace

MAY 23, 2022

Shifting from monolith to microservices makes it easier to test, develop, and release innovative features more rapidly. Combined with Agile or DevOps approaches and methodologies, enterprises can accelerate their ability to deliver digital services. Hard on DevOps. Limited because of a single programming language.

Architecture 204

Architecture DevOps Monitoring Programming 204

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. A hybrid cloud strategy could be your answer. This article will explore hybrid cloud benefits and steps to craft a plan that aligns with your unique business challenges.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

APRIL 7, 2023

The latest Amazon Lambda innovation, Lambda Response Streaming has day-one support from Dynatrace without interruption allowing users to continue to take advantage of all the platform features. It also baselines the performance of an application under load, including response times, error rates, and behavior.

Lambda 224

Lambda AWS Serverless Latency 224

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. Breakout Sessions on Scaling DevOps and SRE, Simplifying Kubernetes, Accelerating Cloud Native Innovation, and Delivering Perfect Experiences with Full Stack Observability.

DevOps 246

DevOps Innovation Big Data Cloud 246

Dynatrace

FEBRUARY 16, 2023

You have to get automation and analytical capabilities.” Modern observability allows organizations to eliminate data silos, boost cloud operations, innovate faster, and improve business results. IT teams can resort to playing defense, fighting daily fires rather than focusing on more important tasks, like innovation.

Artificial Intelligence 203

Artificial Intelligence Analytics Cloud Innovation 203

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. Leverage log analytics for additional context.

Cloud 263

Cloud Azure Analytics AWS 263

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 185

Serverless Architecture Open Source Innovation 185