Dynatrace

JUNE 6, 2023

Just as organizations have increasingly shifted from on-premises environments to those in the cloud, development and operations teams now work together in a DevOps framework rather than in silos. But as digital transformation persists, new inefficiencies are emerging and changing the future of DevOps.

DevOps 160

DevOps Engineering Innovation Best Practices 160

Dynatrace

APRIL 21, 2023

With constraints on IT resources, downtime shifts staff away from innovation and other strategic work. Kailey Smith, application architect on the DevOps team for Minnesota IT Services (MNIT), discussed her experience with an outage that left her and her peers to play defense and fight fires. Dynatrace truly helps us do more with less.

Innovation 179

Innovation Speed Artificial Intelligence Government 179

Dynatrace

MARCH 9, 2023

As organizations mature on their digital transformation journey, they begin to realize that automation – specifically, DevOps automation – is critical for rapid software delivery and reliable applications. In turn, manual approaches to identifying code issues and troubleshooting are not scalable. This statistic is despite the $9.1

DevOps 229

DevOps Infrastructure Software Software 229

Dynatrace

FEBRUARY 11, 2021

During Dynatrace Perform , we have the honor of hosting a customer awards ceremony to highlight the most inspiring success stories from our most innovative, transformative customers. DevOps : companies who shorten innovation cycles, automate their CI/CD pipelines, and improve code quality for production.

Innovation 248

Innovation Performance Transportation DevOps 248

Dynatrace

NOVEMBER 6, 2023

Application observability helps IT teams gain visibility in their highly distributed systems, but what is developer observability and why is it important? In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Observability is about answering.”

Development 258

Development DevOps Programming Cloud 258

Dynatrace

JANUARY 28, 2022

DevOps orchestration is essential for development teams struggling to balance speed with quality. Why DevOps orchestration needs cloud automation. As the pace of business accelerates, developers are feeling the pain. They struggle to accelerate development cycles, and code quality can suffer. Dynatrace news.

DevOps 188

DevOps Speed Innovation Cloud 188

Dynatrace

JULY 12, 2022

Accordingly, for organizations developing and managing applications in the cloud, AIOps (AI for IT operations) has become a key tool to understand application performance problems, cybersecurity threats, and more. IT automation speeds code development. We want to make sure we are evolving our code and fixing issues.”.

Innovation 216

Innovation Infrastructure DevOps Azure 216

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. With higher demand for innovation, IT teams are working diligently to release high-quality software faster.

Engineering 242

Engineering DevOps Innovation Storage 242

Dynatrace

MARCH 28, 2024

AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. DevOps methodology—which brings development and ITOps teams together—also forwards digital transformation. And according to Statista , $2.4

C++ 182

C++ Artificial Intelligence DevOps Innovation 182

Dynatrace

MARCH 8, 2022

For operations, development and security teams, the pressure to deliver better, more secure software faster has never been more critical for business value. At the conference, Dynatrace made several announcements to empower its game-changing community of engineers, developers and security pros. Dynatrace news. Learn more!

Code 179

Code Software Software Serverless 179

Dynatrace

SEPTEMBER 21, 2023

As organizations become cloud-native and their environments more complex, DevOps teams are adapting to new challenges. Today, the platform engineer role is gaining speed as the newest byproduct of scaling DevOps in the emerging but complex cloud-native world. What is this new discipline, and is it a game-changer or just hype?

Games 232

Games Engineering DevOps Education 232

Dynatrace

NOVEMBER 29, 2022

Infrastructure as code is a way to automate infrastructure provisioning and management. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code. Infrastructure-as-code. But how does it work in practice? Transparency and scalability.

Infrastructure 169

Infrastructure Code Cloud DevOps 169

Dynatrace

MAY 2, 2024

Moreover, in addition to managing cloud spend and resource utilization, organizations must also now consider the cost and carbon impact of developing and using generative AI models. However, security remains a concern despite benefits such as faster development and improved productivity. Learn how security improves DevOps.

Artificial Intelligence 226

Artificial Intelligence Cloud Best Practices DevOps 226

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. No one will be around who fully understands the code.

Technology 200

Technology Technology Artificial Intelligence Analytics 200

Dynatrace

OCTOBER 10, 2023

This improves the current project and paves the way for future innovation. This empowers them to spearhead innovations that ensure the business is prepared for future expansions. They provide continuous feedback to developers and enable rapid product iterations. It also returns valuable time back to the SRE team.

Engineering 222

Engineering DevOps Innovation Strategy 222

Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. As organizations develop new applications, vulnerabilities will continue to emerge.

Cloud 183

Cloud DevOps Open Source Retail 183

Dynatrace

DECEMBER 12, 2023

For example, nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed software development. DevOps teams , for example, can focus on driving innovation instead of grinding through manual jobs. This means greater productivity for individual teams.

Artificial Intelligence 203

Artificial Intelligence DevOps Analytics Strategy 203

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. 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.

Artificial Intelligence 179

Artificial Intelligence DevOps Strategy Open Source 179

Dynatrace

JUNE 13, 2022

They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. But with this speed, agility, and innovation come new challenges.

Open Source 218

Open Source DevOps Java Innovation 218

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. 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.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

FEBRUARY 10, 2023

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. For example, development teams can use automation to increase efficiency in the software development lifecycle. Learn more.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

MAY 4, 2023

Moreover, the demand for rapid software delivery is putting additional stress on DevOps teams. According to the Dynatrace 2023 CIO Report , 34% of CIOs reported that they must sacrifice security to meet the demand for faster innovation. Security teams are stretched thin, and development and operations teams aren’t far behind.

DevOps 209

DevOps Speed Innovation Open Source 209

Dynatrace

SEPTEMBER 20, 2022

DevSecOps brings development, operations, and security teams together in the software development lifecycle (SDLC). This approach enables teams to focus on speed and agility in software development without compromising security. What is DevSecOps and what is a DevSecOps maturity model?

Best Practices 258

Best Practices DevOps Education Serverless 258

Dynatrace

JUNE 26, 2023

Software automation enables digital supply chain stakeholders — such as digital operations, DevSecOps, ITOps, and CloudOps teams — to orchestrate resources across the software development lifecycle to bring innovative, high-quality products and services to market faster. What is software analytics?

Software 184

Software Software Analytics Big Data 184

Dynatrace

AUGUST 29, 2022

Release validation is a critical DevOps practice to help ensure that code released into production is successful. DevOps practices have become key for organizations looking to scale, stay competitive, and keep up with customer demand. This can become a complicated step if the application or code is complex.

DevOps 205

DevOps Benchmarking Cloud Monitoring 205

Dynatrace

JANUARY 21, 2022

Key takeaways from this article on vulnerability management for cloud application security: Today’s cloud apps with their fast innovation cycles and frequent use of open-source libraries must address a gap for runtime vulnerability management in production environments. How vulnerability management at runtime changes the game.

Strategy 218

Strategy Cloud Open Source DevOps 218

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. Adding to the complexity are containers–tools for cloud development—which can be ephemeral. Learn more here. What is AWS Lambda? What is AWS Lambda?

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

Dynatrace

FEBRUARY 15, 2022

Every year at our annual user conference, Dynatrace Perform , we recognize the most inspiring success stories from our most innovative, transformative customers and partners. DevOps: companies who shorten innovation cycles, automate their CI/CD pipelines , and improve code quality for production. António Sousa – CTO.

Performance 205

Performance Innovation DevOps Software 205

Dynatrace

AUGUST 7, 2023

Developers use generative AI to find errors in code and automatically document their code. They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. Learn how security improves DevOps. Will generative AI multiply existing attack surfaces?

DevOps 182

DevOps Analytics Best Practices Java 182

Dynatrace

AUGUST 23, 2023

Understanding generative AI and how to use it can unlock boundless innovation. Tracy Bannon , Senior Principal/Software Architect and DevOps Advisor at MITRE , is passionate about DevSecOps and the potential impact of artificial intelligence (AI) on software development. However, AI is a relatively new technology.

Artificial Intelligence 168

Artificial Intelligence Innovation Tuning DevOps 168

Dynatrace

FEBRUARY 21, 2024

They help foster confidence and consistency throughout the entire software development lifecycle (SDLC). Organizations can customize quality gate criteria to validate technical service-level objectives (SLOs) and business goals, ensuring early detection and resolution of code deficiencies. But how do they function in practice?

Speed 203

Speed Software Software Latency 203

Dynatrace

NOVEMBER 9, 2022

Developing a cloud application migration strategy . For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. AIOps , practitioners can use automation in IT processes to identify issues in their infrastructure, applications, and code. Successful? – report .

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

FEBRUARY 28, 2024

As a result, businesses and SREs can redirect their manual diagnostic efforts toward fostering innovation. By leveraging SRG and Visual Resolution Path, along with Davis AI causal analysis, development teams can quickly pinpoint issues, and further rectify them ensuring a fail-smart approach.

DevOps 200

DevOps Metrics Engineering Analytics 200

Dynatrace

NOVEMBER 28, 2022

For AWS Lambda, the largest contributor to startup latency is the time spent initializing an execution environment, which includes loading function code and initializing dependencies. With SnapStart enabled, function code is initialized once when a function version is published. What is Lambda? What is Lambda SnapStart?

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. GitOps: Cloud automation as code.

DevOps 244

DevOps Open Source Cloud Azure 244

Dynatrace

FEBRUARY 4, 2021

.” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. SRE bridges the gap between Dev and Ops teams.

Engineering 252

Engineering DevOps Government Latency 252

Dynatrace

JULY 13, 2021

With the increasing adoption of agile software development, DevOps , progressive continuous delivery, and Site Reliability Engineering (SRE) practices, many companies are aiming to deliver better software faster and more safely while keeping up with customer demands. Accelerate DevOps and Scale SRE with Service Level Objectives (SLOs).

Cloud 239

Cloud DevOps Benchmarking Speed 239