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 213

DevOps Speed Efficiency Engineering 213

Dynatrace

JANUARY 23, 2024

AI-enabled chatbots can help service teams triage customer issues more efficiently. 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 186

Performance DevOps Innovation Artificial Intelligence 186

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 182

Artificial Intelligence DevOps Strategy Open Source 182

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. Unified observability and security in the development process are crucial to defining ownership in the development process.

Engineering 245

Engineering DevOps Innovation Storage 245

Official Blog - World Web Technology

DECEMBER 4, 2023

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 is an essential framework for the total software development process as it aids in managing software development projects effectively.

Processing 64

Processing Software Software Development 64

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. Release validation. Cultural issues.

Best Practices 262

Best Practices DevOps Education Serverless 262

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 209

Best Practices Benchmarking Speed Infrastructure 209

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. Siloed processes compound the risk of vulnerabilities significantly impacting applications and organizations.

DevOps 213

DevOps Speed Innovation Open Source 213

Dynatrace

JUNE 26, 2023

This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. The result is increased efficiency, reduced operating costs, and enhanced productivity. DevSecOps and ITOps teams can then perform tasks with accuracy at the speed a business requires.

Software 187

Software Software Analytics Big Data 187

Dynatrace

MAY 3, 2021

Many organizations realize their DevOps tools and practices do not sufficiently account for security. The security challenges of DevOps. To set the stage for a security-as-code culture, Stewart explained how DevSecOps is a cross-team collaboration framework that responds to the security challenges of DevOps. Dynatrace news.

Code 158

Code DevOps Speed Government 158

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 254

Engineering DevOps Government Latency 254

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. ITOps vs. DevOps and DevSecOps. So, what is ITOps?

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

Dynatrace

MAY 8, 2023

With the world’s increased reliance on digital services and the organizational pressure on IT teams to innovate faster, the need for DevOps monitoring tools has grown exponentially. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency?

DevOps 220

DevOps Efficiency Monitoring Infrastructure 220

Dynatrace

MAY 17, 2023

For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. DevOps and platform teams can use this capability to ask questions such as, “How can I improve the response time of my application?”

Innovation 259

Innovation Software Software Artificial Intelligence 259

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 207

DevOps Cloud Best Practices Open Source 207

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 228

AWS Lambda Artificial Intelligence Serverless 228

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.” This is a continuous process,” Fuqua said.

Monitoring 182

Monitoring Artificial Intelligence Performance Healthcare 182

Dynatrace

NOVEMBER 9, 2022

But the process of cloud migration brings complexity. This struggle may be because cloud modernization is a process, not a singular event—or a “lift and shift”—in which applications are ported to the cloud without being redesigned. Instead, cloud modernization is an ongoing process of assessing, optimizing, and migrating.

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

AUGUST 9, 2019

Improving your team’s Commit Cycle Time means relying on efficient testing and soliciting feedback as quickly as possible. Try to get your company more into the DevOps mindset so that you can release smaller chunks of work more often. In software delivery, every manual process introduces a delay in getting a release out the door.

Speed 115

Speed Innovation DevOps Cloud 115

Dynatrace

FEBRUARY 4, 2021

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. SRE applies DevOps principles to developing systems and software that help increase site reliability and performance.

Engineering 176

Engineering DevOps Government Latency 176

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. Databases, however, require indexing — a data structure that improves the speed of data retrieval — before log data can be searched and analyzed. Dynatrace news.

Analytics 214

Analytics Storage Retail Monitoring 214

Testsigma

APRIL 27, 2020

As we move forward, organizations need to get out of their silos and follow a more collaborative and efficient process to achieve excellence. 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 53

DevOps Innovation Efficiency Testing 53

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. To avoid this, start the SLO discussion early in the design process.

DevOps 196

DevOps Metrics Best Practices Latency 196

Dynatrace

FEBRUARY 6, 2020

Three waves of DevOps leading to Autonomous Cloud. At Dynatrace, we have been very proud and vocal about our own DevOps transformation story that we started when we incubated what is now known as the Dynatrace Software Intelligence Platform (formerly Ruxit). DevOps Transformation at Dynatrace enacted live on stage at Perform 2017!

Cloud 184

Cloud DevOps Engineering Speed 184

Dynatrace

JULY 29, 2022

Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. Databases, however, require indexing — a data structure that improves the speed of data retrieval — before log data can be searched and analyzed. Dynatrace news.

Analytics 181

Analytics Storage Retail Monitoring 181

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 246

AWS Efficiency Azure Cloud 246

Dynatrace

SEPTEMBER 12, 2022

This closed-loop set of Dynatrace technologies enables users to cut through the noise and automate the remediation process. By processing observability data, AI helps improve the quality and availability of services and applications. What is trending in AIOps? The report identifies the following three AIOps market trends: 1.

Strategy 130

Strategy DevOps Analytics Cloud 130

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 154

Automotive DevOps Software Software 154

Dynatrace

MAY 16, 2019

Over the last year we’ve seen more and more Dynatrace customers move from DevOps to NoOps. These organizations have built automation into their DevOps environments to a degree that there is no longer a need for a traditional Ops team to manage software in-house. And how about your processes? Dynatrace news.

Innovation 187

Innovation Cloud DevOps Best Practices 187

Dynatrace

JULY 12, 2022

IT automation speeds code development. To me, AIOps is like having your DevOps people in more automated fashion,” Schirrmacher says. Building IT automation into DevOps processes and infrastructure management has enabled IT teams to become proactive and align with the business on strategic goals.

Innovation 219

Innovation Infrastructure DevOps Azure 219

Dynatrace

APRIL 22, 2024

DevOps automation eliminates extraneous manual processes, enabling DevOps teams to develop, test, deliver, deploy, and execute other key processes at scale. Automation can be particularly powerful when applied to DevOps workflows. What deployment strategies does your organization use?

DevOps 186

DevOps Artificial Intelligence Government Innovation 186

Dynatrace

FEBRUARY 16, 2023

The number of containers pushed from development into production continues to increase—as does the speed of container deployment. More importantly, you get a clear risk management process based on the provided insights. This introduces challenges for security and development teams. “By

Programming 194

Programming Government Analytics Efficiency 194

Dynatrace

JANUARY 18, 2023

As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. However, getting reliable answers from observability data so teams can automate more processes to ensure speed, quality, and reliability can be challenging.

DevOps 198

DevOps Best Practices Innovation Strategy 198

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. The vulnerability management process. Improve other processes to reduce potential risk. Timely detection.

Traffic 164

Traffic Java Network DevOps 164

Dynatrace

OCTOBER 28, 2021

The discoveries form inputs into the software development and delivery process, so new software and microservices will better stand up to unforeseeable events. Chaos engineering generally originates from small teams within DevOps , often involving applications running in both pre-production and production environments.

Engineering 225

Engineering Entertainment Cloud Infrastructure 225

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. A given consumer only processes each message once.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

AUGUST 5, 2022

For nonurgent messages, texting is a more efficient approach. In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. A producer creates the message, and a consumer processes it. A given consumer only processes each message once.

Monitoring 199

Monitoring Serverless Programming Speed 199