Dynatrace

MARCH 29, 2024

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. Organizations are turning to AI to automate manual tasks and see immediate benefits in IT operations, cybersecurity, and application development or DevOps.

Artificial Intelligence 173

Artificial Intelligence DevOps Strategy Open Source 173

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 185

DevOps Artificial Intelligence Healthcare Innovation 185

Dynatrace

OCTOBER 30, 2023

Today, speed and DevOps automation are critical to innovating faster, and platform engineering has emerged as an answer to some of the most significant challenges DevOps teams are facing. One of the keys to managing cloud costs is ensuring that operations are running efficiently. But this task has become challenging.

Engineering 235

Engineering DevOps Innovation Storage 235

Dynatrace

OCTOBER 19, 2023

Assuming the responsibility and taking the initiative to instill effective cybersecurity practices now will yield benefits in terms of enhanced productivity and efficiency for your organization in the future. DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps.

Best Practices 198

Best Practices Benchmarking Speed Infrastructure 198

Scalegrid

DECEMBER 21, 2023

This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency. This Command Line Interface (CLI) can be used for basic activity metrics and offers powerful real-time data analysis tools, giving you more control over the performance of your servers.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

SEPTEMBER 20, 2022

This approach enables teams to focus on speed and agility in software development without compromising security. A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. The education of employees about security awareness.

Best Practices 251

Best Practices DevOps Education Serverless 251

Dynatrace

APRIL 6, 2022

DevOps teams can also benefit from full-stack observability. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting. How full-stack observability enhances IT and DevOps. Here are a few ways full-stack observability can benefit your IT and DevOps teams. Watch webinar now!

DevOps 222

DevOps Innovation Infrastructure Analytics 222

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. ITOps vs. DevOps and DevSecOps. DevOps works in conjunction with IT. Organizations are also increasingly integrating application security into their DevOps teams and processes — also known as DevSecOps. Reliability.

Artificial Intelligence 191

Artificial Intelligence DevOps Hardware Virtualization 191

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. DevOps requires infrastructure experts and software experts to work hand in hand. Evolution of modern AIOps.

DevOps 206

DevOps Big Data Cloud Innovation 206

Dynatrace

JULY 5, 2022

As organizations look to speed their digital transformation efforts, automating time-consuming, manual tasks is critical for IT teams. AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Dynatrace news.

Artificial Intelligence 274

Artificial Intelligence Cloud Innovation Strategy 274

Dynatrace

FEBRUARY 23, 2022

In order for software development teams to balance speed with quality during the software development cycle (SDLC), development, security, and operations teams (or DevSecOps teams) need to ensure that their practices align with modern cloud environments. That can be difficult when the business climate can prioritize speed.

Serverless 254

Serverless Infrastructure Innovation DevOps 254

Dynatrace

APRIL 19, 2021

Dynatrace scored highest across 4 of 5 use cases, DevOps/AppDev, SRE/CloudOps, IT Operations, and Digital Experience Monitoring, and second highest in the Application Owner/Line of Business use case. We anticipated the industry’s move to dynamic multicloud environments and DevOps processes. We are grateful for this recognition.

DevOps 252

DevOps Innovation Speed Infrastructure 252

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. According to Dynatrace research, 89% of CIOs said digital transformation accelerated over the course of 2020 , and 58% predicted it will continue to speed up.

Software 184

Software Software Artificial Intelligence DevOps 184

Dynatrace

MAY 4, 2022

Cloud-native applications now dominate IT as DevOps teams respond to growing demands to deliver functionality faster and more securely. As DevOps teams are pivoting to cloud-native technologies, IT environments have become increasingly complex. Dynatrace news. Improving cross-team collaboration improves cloud-native success.

Cloud 173

Cloud DevOps Strategy Monitoring 173

Dynatrace

JUNE 26, 2023

Software analytics offers the ability to gain and share insights from data emitted by software systems and related operational processes to develop higher-quality software faster while operating it efficiently and securely. The result is increased efficiency, reduced operating costs, and enhanced productivity. Operations.

Software 177

Software Software Analytics Big Data 177

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS. Learn more here. What is AWS Lambda? What is AWS Lambda?

AWS 219

AWS Lambda Artificial Intelligence Serverless 219

Dynatrace

MAY 4, 2023

But without intelligent automation, they’re running into siloed processes and reduced efficiency. Moreover, the demand for rapid software delivery is putting additional stress on DevOps teams. Overall, 36% of respondents agreed that the silos among DevOps and security teams leads to a resistance to collaboration.

DevOps 201

DevOps Speed Innovation Open Source 201

Dynatrace

JULY 29, 2022

This is also known as root-cause analysis. Peak performance analysis. With the right log management and observability platform, IT teams can efficiently identify the root cause of problems during these peak times and maintain three-nines of availability — or 99.98%. What are the challenges of log analytics? Indexing overhead.

Analytics 203

Analytics Storage Retail Monitoring 203

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. “Logging” is the practice of generating and storing logs for later analysis. Dynatrace news. billion in 2020 to $4.1 What is log monitoring?

Analytics 198

Analytics Monitoring Artificial Intelligence DevOps 198

Dynatrace

AUGUST 5, 2022

Organizations are also finding that these security tools are not up to par with the increasing speed of software delivery. Building on DevOps culture and practices, it integrates security into every step of the software development lifecycle (SDLC). DevSecOps automation promotes efficient processes and secure applications.

DevOps 196

DevOps Cloud Best Practices Open Source 196

Dynatrace

FEBRUARY 28, 2024

“In the development environment, you see exactly where in the pipeline security issues exist, and you can address them right there, so it speeds up development,” Fuqua said. It’s helping us build applications more efficiently and faster and get them in front of veterans.”

Monitoring 173

Monitoring Artificial Intelligence Performance Healthcare 173

Dynatrace

JULY 29, 2022

This is also known as root-cause analysis. Peak performance analysis. With the right log management and observability platform, IT teams can efficiently identify the root cause of problems during these peak times and maintain three-nines of availability — or 99.98%. What are the challenges of log analytics? Indexing overhead.

Analytics 171

Analytics Storage Retail Monitoring 171

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. A full-featured deterministic AIOps solution should lead to faster, higher-quality innovation, increased IT staff efficiency, and vastly improved business outcomes.

Artificial Intelligence 201

Artificial Intelligence DevOps Innovation Metrics 201

Dynatrace

FEBRUARY 10, 2021

Software companies who have already been following and adopting DevOps and site reliability engineering (SRE) practices alongside their shared ancestry in agile concepts came out on top – especially if they adopted those practices across the whole organization and customer value stream.

Cloud 160

Cloud DevOps Speed Metrics 160

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). It helps teams to find under or overutilized resources and components quickly.

Engineering 172

Engineering Development Infrastructure Cloud 172

Dynatrace

APRIL 19, 2021

Dynatrace scored highest across 4 of 5 use cases, DevOps/AppDev, SRE/CloudOps, IT Operations, and Digital Experience Monitoring, and second highest in the Application Owner/Line of Business use case. We anticipated the industry’s move to dynamic multicloud environments and DevOps processes. We are grateful for this recognition.

DevOps 162

DevOps Innovation Speed Infrastructure 162

Dynatrace

OCTOBER 5, 2022

Owning the responsibility and effort to build good cyber security practices now will improve your DevSecOps team’s overall productivity and efficiency in the future. As soon as vulnerable code is detected, Dynatrace triggers an automated full analysis of the impact on your environment and provides deep insights for your security teams.

Best Practices 183

Best Practices Education Monitoring Government 183

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. The framework comprises six pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.

AWS 236

AWS Efficiency Azure Cloud 236

Dynatrace

OCTOBER 4, 2022

This can vastly reduce an organization’s storage costs and improve data efficiency. Avoiding the speed-cost-quality tradeoffs by using a data lakehouse. Combining this data lakehouse with real-time observability data provides an efficient, low-cost, and high-performance data repository for AIOps and analytics.

Analytics 209

Analytics Storage Infrastructure Metrics 209

Dynatrace

MAY 15, 2020

For Federal, State and Local agencies to take full advantage of the agility and responsiveness of a DevOps approach to the software lifecycle, Security must also play an integral role across lifecycle stages. Modern DevOps permits high velocity development cycles resulting in weekly, daily, or even hourly software releases.

Government 215

Government DevOps Infrastructure Network 215

Dynatrace

APRIL 21, 2022

Getting precise root cause analysis when dealing with several layers of virtualization in a containerized world. Performance efficiency. At every step, Dynatrace provides integrations, precise root-cause analysis, and pinpoint precision fueled by AI and automation. Performance Efficiency. Operational excellence.

Azure 178

Azure Monitoring Virtualization Metrics 178

Dynatrace

OCTOBER 20, 2020

As Porsche Informatik migrated from a monolithic environment to a containerized, hybrid-cloud landscape, OpenShift facilitated greater agility and scalability of their Kubernetes-orchestrated DevOps projects, boosting both the company’s ability to innovate and reduce time to market. Want to try it and see for yourself?

Automotive 149

Automotive DevOps Software Software 149

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up. Enter causal AI.

AWS 200

AWS Artificial Intelligence Analytics Cloud 200

Dynatrace

FEBRUARY 2, 2022

This demand creates an increasing need for DevOps teams to maintain the performance and reliability of critical business applications. As such, it’s important when creating your SLOs to avoid these common mistakes that can cause more headaches for your DevOps teams. Dynatrace news. Today, online services require near 100% uptime.

DevOps 185

DevOps Metrics Best Practices Latency 185

Dynatrace

AUGUST 18, 2022

” Moreover, as modern DevOps practices have increased the speed of software delivery, more than two-thirds (69%) of chief information security officers (CISOs) say that managing risk has become more difficult. Vulnerability management is critical for digitally transforming organizations, especially in wake of Log4Shell.

Traffic 157

Traffic Java Network DevOps 157

Dynatrace

MAY 27, 2021

In my previous article about continuous integration and continuous delivery (CI/CD) , I defined CI/CD and explained how these practices work together to help DevOps teams deliver quality software faster. As automation improves quality and efficiency, the simplest result — and perhaps the most noticeable — is getting features to users faster.

Best Practices 130

Best Practices DevOps Open Source Cloud 130

Dynatrace

MARCH 17, 2021

While this approach helps organizations deliver applications faster and more efficiently, it has made AppSec more complex than ever, creating blind spots and uncertainty about vulnerabilities within cloud-native applications. The source code isn’t needed to perform DAST, as the application is inspected while it is running.

Open Source 159

Open Source Cloud Games Java 159