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 198

Software Software Analytics Big Data 198

Dynatrace

DECEMBER 2, 2024

DevOps and security teams managing today’s multicloud architectures and cloud-native applications are facing an avalanche of data. Clearly, continuing to depend on siloed systems, disjointed monitoring tools, and manual analytics is no longer sustainable.

Artificial Intelligence 147

Artificial Intelligence DevOps Architecture Cloud 147

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 214

Technology Technology Artificial Intelligence Analytics 214

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 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 261

Artificial Intelligence Analytics Innovation Healthcare 261

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 240

DevOps Innovation Infrastructure Cloud 240

Dynatrace

JULY 29, 2024

Currently, there is a tough balance to achieve: Organizations need to innovate rapidly at scale, yet security remains paramount. Our guide covers AI for effective DevSecOps, converging observability and security, and cybersecurity analytics for threat detection and response. Learn more in this blog.

Analytics 186

Analytics Government DevOps Efficiency 186

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 216

Artificial Intelligence DevOps Analytics Strategy 216

Dynatrace

OCTOBER 3, 2024

That’s why we have Dynatrace extended (not shifted) to the left to address both needs: developers have easy and safe access to staging and production deployments while central SRE and DevOps teams have the scalable and automatic observability they need to remain compliant, consistent, and resilient. Note that the work doesn’t get reduced.

Availability 234

Availability DevOps Analytics Cloud 234

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 197

Cloud DevOps Open Source Retail 197

Dynatrace

MAY 24, 2024

These criteria include operational excellence, security and data privacy, speed to market, and disruptive innovation. With the insights they gained, the team expanded into developing workflow automations using log management and analytics powered by the Grail data lakehouse.

Technology 227

Technology Technology Innovation Analytics 227

Dynatrace

AUGUST 27, 2024

This can divert attention and resources from delivering better customer experience and innovation. Effective ICT risk management Dynatrace Runtime Vulnerability Analytics offers AI-powered risk assessment and intelligent automation for continuous real-time exposure management throughout your entire application stack.

Best Practices 275

Best Practices Government DevOps Analytics 275

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 236

AWS Lambda Artificial Intelligence Serverless 236

Dynatrace

OCTOBER 3, 2024

Teams need a better way to work together, eliminate silos and spend more time innovating. In contrast, threat hunters, developers, or DevOps on the lookout for such a tool are provided the flexibility to manually analyze logs of all sources with the all-new Dynatrace Logs app.

Performance 257

Performance Architecture Innovation Latency 257

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 227

DevOps Big Data Cloud Innovation 227

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 196

Performance DevOps Innovation Artificial Intelligence 196

Dynatrace

NOVEMBER 18, 2024

As enterprises embrace more distributed, multicloud and applications-led environments, DevOps teams face growing operational, technological, and regulatory complexity, along with rising cyberthreats and increasingly demanding stakeholders.

Strategy 180

Strategy Innovation Cloud Efficiency 180

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 212

Monitoring Software Software DevOps 212

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 284

Engineering DevOps Best Practices Infrastructure 284

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

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 203

Open Source Storage Analytics Innovation 203

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 196

DevOps Analytics Best Practices Java 196

Dynatrace

JULY 25, 2024

The company receives tens of thousands of requests per second on its edge layer and sees hundreds of millions of events per hour on its analytics layer. He points to the shift from DevOps to platform engineering , or as he calls it, Foundation Engineering. “Software is built in layers,” Spier explained. Cost efficiency.

Strategy 236

Strategy Engineering Open Source Java 236

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 233

Lambda AWS Serverless Latency 233

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 219

AWS Artificial Intelligence Cloud Analytics 219

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 206

Software Software Artificial Intelligence DevOps 206

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 207

DevOps Artificial Intelligence Healthcare Innovation 207

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 187

Cloud Artificial Intelligence Innovation Architecture 187

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 202

DevOps Analytics Airlines Metrics 202

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 214

DevOps Metrics Engineering Analytics 214

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 185

Artificial Intelligence DevOps Analytics Cloud 185

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 185

Strategy Retail DevOps Traffic 185

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 147

Cloud Artificial Intelligence Innovation Architecture 147

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 276

Serverless Infrastructure Innovation DevOps 276

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 205

Architecture DevOps Monitoring Programming 205