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 205

Speed Software Software Latency 205

Dynatrace

APRIL 21, 2023

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. The team can “catch more bugs and performance problems before the code is deployed to the production environment,” Smith said.

Innovation 181

Innovation Speed Artificial Intelligence Government 181

Dynatrace

APRIL 30, 2021

Many organizations that have integrated their software development and operations into DevOps practices struggle with efficiency because they’re juggling disparate DevOps tools, or their tools aren’t meeting their needs. The status quo of the DevOps toolchain.

DevOps 212

DevOps Speed Efficiency Engineering 212

Dynatrace

MAY 3, 2021

Many organizations realize their DevOps tools and practices do not sufficiently account for security. The most forward-thinking teams want to take a “shift-left” approach to their security practices, engaging security practices and testing as early as possible in the software development life cycle.

Code 158

Code DevOps Speed Government 158

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 234

Games Engineering DevOps Education 234

DZone

APRIL 16, 2021

Lines of code govern almost everything we do in our day-to-day activities. million developers worldwide. In an attempt to hold their place within the market, developers are having to speed their process up whilst delivering products of ever-increasing quality. Today, the demand for software is higher than ever.

Speed 278

Speed Software Software Metrics 278

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. Everything as code: GitOps as the standard Observability as code is used to programmatically define observability and security.

Engineering 244

Engineering DevOps Innovation Storage 244

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 205

Artificial Intelligence DevOps Analytics Strategy 205

Dynatrace

MAY 17, 2023

With the launch of ChatGPT, an AI chatbot developed by OpenAI, in November 2022, large language models (LLMs) and generative AI have become a global sensation, making their way to the top of boardroom agendas and household discussions worldwide. GPTs can also help quickly onboard team members to new development platforms and toolsets.

Innovation 258

Innovation Software Software Artificial Intelligence 258

Dynatrace

MAY 4, 2023

Moreover, the demand for rapid software delivery is putting additional stress on DevOps teams. In response to these industry shifts, more organizations are integrating security earlier in the software development lifecycle. Security teams are stretched thin, and development and operations teams aren’t far behind.

DevOps 211

DevOps Speed Innovation Open Source 211

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 181

Artificial Intelligence DevOps Strategy Open Source 181

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 184

Performance DevOps Innovation Artificial Intelligence 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 207

DevOps Benchmarking Cloud Monitoring 207

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 185

Cloud DevOps Open Source Retail 185

Dynatrace

FEBRUARY 10, 2023

IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. Therefore, many organizations turn to a data lakehouse, which combines the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Learn more. Learn more.

Efficiency 274

Efficiency Performance Analytics DevOps 274

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 260

Best Practices DevOps Education Serverless 260

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 220

Open Source DevOps Java Innovation 220

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. Shift left your SRE practices. How the evaluation works.

Cloud 240

Cloud DevOps Benchmarking Speed 240

Dynatrace

OCTOBER 19, 2023

Implementing vulnerability management in your application security process aids in vulnerability detection and prevention before they can enter production code. By incorporating automated vulnerability scans within the software development lifecycle (SDLC), developers can expedite the release of innovative software features.

Best Practices 207

Best Practices Benchmarking Speed Infrastructure 207

Dynatrace

MAY 31, 2023

The practice uses continuous monitoring and high levels of automation in close collaboration with agile development teams to ensure applications are highly available and perform without friction. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 221

Best Practices DevOps Latency Metrics 221

Official Blog - World Web Technology

DECEMBER 4, 2023

You cannot leave SDLC unnoticed when you are into software development. How does it contribute to the software development process ? This article will explain why most companies and their software developers use SDLC to manage their development process. SDLC means Software Development Life Cycle. What is SDLC?

Processing 64

Processing Software Software Development 64

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 186

Software Software Analytics Big Data 186

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 183

DevOps Analytics Best Practices Java 183

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 253

Engineering DevOps Government Latency 253

Dynatrace

AUGUST 5, 2022

Organizations are also finding that these security tools are not up to par with the increasing speed of software delivery. DevSecOps is a methodology that brings development, security and operations teams closer together to ensure high-quality, secure application code. DevSecOps automation and the importance of observability.

DevOps 206

DevOps Cloud Best Practices Open Source 206

Dynatrace

AUGUST 9, 2019

Commit Cycle Time refers to the average time for a code or configuration change until it’s deployed into production and accessible to users. Our survey results indicate that their approaches to software development exhibit the following distinctive practices: Innovators deploy more frequently to production . The risk is smaller, too.

Speed 115

Speed Innovation DevOps Cloud 115

Dynatrace

JANUARY 21, 2022

Modern software development requires DevSecOps approaches that shift right into production in addition to shift-left efforts in development. These approaches often take place earlier in the software development lifecycle, and may not identify the vulnerabilities running in production.

Strategy 220

Strategy Cloud Open Source DevOps 220

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 227

AWS Lambda Artificial Intelligence Serverless 227

Dynatrace

NOVEMBER 9, 2022

Developing a cloud application migration strategy . AIOps , practitioners can use automation in IT processes to identify issues in their infrastructure, applications, and code. As organizations layer more technologies into their DevOps toolchains, AIOps platform that can shift left is a good strategy. Successful?

AWS 130

AWS Cloud Serverless DevOps 130

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

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, Azure DevOps, or any other git compliant version control system.

Cloud 213

Cloud DevOps Azure Virtualization 213

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 218

Innovation Infrastructure DevOps Azure 218

Dynatrace

AUGUST 16, 2021

Part 1 of this series starts will cover the key ingredients needed for successful DevOps use to deliver better software faster, followed by a short overview of GitHub Actions and example use cases related to deployment and release monitoring. Developing a shared language of service level objectives (SLOs). 2 Confidence: .

Software 246

Software Software Open Source Azure 246

Dynatrace

AUGUST 11, 2022

In addition to modern application stacks introducing new levels of speed and complexity, they also create new security challenges. runtimes are responsible for converting bytecode into machine-specific code. In cloud-native application stacks, everything is code. Dynatrace news.

Java 239

Java Cloud Virtualization DevOps 239

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 175

Engineering DevOps Government Latency 175

Dynatrace

JULY 29, 2022

And as organizations hasten software development cycles to remain competitive, security vulnerabilities can make their way into live applications, because developers simply don’t have time to find and fix them. A software supply chain attack requires only one compromised application or piece of code to affect the entire supply chain.

Software 188

Software Software Open Source DevOps 188

Testsigma

APRIL 27, 2020

Organizations that adopt DevOps are able to evolve and improve software products much faster when compared to those that use traditional software development processes. DevOps is a bridge between development and operations in an organization and aims to improve productivity as a whole. Shorter Development Cycles.

DevOps 53

DevOps Innovation Efficiency Testing 53