DZone

JANUARY 15, 2021

Seeing and improving the efficiency of Software Development teams is a problem for every technical team manager. There are two important points here: Awareness: How well is the team doing? Improvement: How does the team get better? You Can’t Improve Without Measuring.

Efficiency 243

Efficiency Development Code Software 243

DZone

MARCH 13, 2024

As software engineers, we are always striving for high performance and efficiency in our code. Whether it’s optimizing algorithms or fine-tuning data structures, every decision we make can have a significant impact on the overall performance of our applications.

Benchmarking 147

Benchmarking Tuning Performance Open Source 147

DZone

OCTOBER 25, 2021

The goal of Levels of Testing is to make software testing more structured and efficient, as well as to make it easier to identify all available test cases and test scenarios at a given level. There are various steps in the SDLC paradigm, such as requirement gathering, analysis, coding, design, execution, testing, and deployment.

Software 246

Software Software Testing Efficiency 246

Dynatrace

FEBRUARY 21, 2024

To remain competitive in today’s fast-paced market, organizations must not only ensure that their digital infrastructure is functioning optimally but also that software deployments and updates are delivered rapidly and consistently. They help foster confidence and consistency throughout the entire software development lifecycle (SDLC).

Speed 200

Speed Software Software Latency 200

Dynatrace

FEBRUARY 28, 2024

Department of Veterans Affairs (VA) is packaging application code along with its libraries and dependencies within an executable software unit. VAPO relies on Dynatrace and its integration with Red Hat to monitor application development and testing within containers to ensure optimal performance and security.

Monitoring 177

Monitoring Artificial Intelligence Performance Healthcare 177

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. AI-enabled chatbots can help service teams triage customer issues more efficiently. Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

MAY 17, 2023

At Perform, our annual user conference, in February 2023, we demonstrated how people can use natural or human language to query our data lakehouse. ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential.

Innovation 253

Innovation Software Software Artificial Intelligence 253

Dynatrace

MAY 3, 2021

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. Speed: Users won’t give organizations a pass on slow performance just because they’re trying to enhance security.

Code 155

Code DevOps Speed Government 155

DZone

MAY 16, 2024

It creates documentation by analyzing interfaces and comments in the source code and supports a variety of document output formats, including Markdown , HTML5 , OpenAPI 3.0 , and more. This article will introduce how to use smart-doc and JMeter for effective performance testing.

Java 130

Java Performance Testing Efficiency Testing 130

DZone

MARCH 28, 2023

Legacy applications refer to software created years or even decades ago using programming languages that are no longer in use. Refactoring is the process of updating or improving applications to make them more useful and efficient. What Is Legacy Application Refactoring? What Is Legacy Application Refactoring?

Software 113

Software Software Programming Architecture 113

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. Rather, they must be bolstered by additional technological investments to ensure reliability, security, and efficiency. However, these practices cannot stand alone.

DevOps 184

DevOps Engineering Artificial Intelligence Infrastructure 184

Dynatrace

MARCH 20, 2024

Deploying software in Kubernetes is often viewed as a straightforward process—just use kubectl or a GitOps solution like ArgoCD to deploy a YAML file, and you’re all set, right? Infrastructure health The underlying infrastructure’s health directly impacts application availability and performance.

Open Source 261

Open Source Hardware DevOps Infrastructure 261

DZone

MARCH 9, 2023

Software testing is the process of verifying the working of the software system or application. In other words, it ensures the software application is bug-free and addresses the technical and user requirements. Suppose you are building a software application that involves writing a bunch of codes and fixing bugs.

Best Practices 100

Best Practices Software Software Testing 100

Alex Podelko

DECEMBER 19, 2019

ITIL Version 4 Capacity and Performance Management in an Agile Container World by Chris Molloy, IBM. – System performance management is an important topic – and James is going to share a practical method for it. . – System performance management is an important topic – and James is going to share a practical method for it.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

FEBRUARY 1, 2024

Business and technology leaders are increasing their investments in AI to achieve business goals and improve operational efficiency. From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous.

Artificial Intelligence 179

Artificial Intelligence Analytics Efficiency Database 179

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Most approaches focus on improving Power Usage Effectiveness (PUE), a data center energy-efficiency measure. energy-efficient data centers—cloud providers—achieve values closer to 1.2. A PUE of 1.0

Cloud 202

Cloud Energy Best Practices Cache 202

DZone

JANUARY 24, 2020

Everything you need to know about performance engineering. Being a software developer means much more than simply writing bug-free code. Application performance engineering is an essential practice for any DevOps team, allowing developers across departments to stay agile and efficient.

Engineering 200

Engineering Performance DevOps Scalability 200

Dynatrace

JULY 18, 2023

Dynatrace Configuration as Code enables complete automation of the Dynatrace platform’s configuration, ensuring that software is secure and reliable. With Configuration as Code, developers can manage their observability and security tasks with config files that can be developed alongside source code conveniently and at scale.

Best Practices 183

Best Practices Code Infrastructure Latency 183

Dynatrace

APRIL 8, 2024

This blog explores how vertically integrated risk management solutions that use AI and automation enable unparalleled visibility, control, and efficiency for risk management in banking. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience.

Analytics 194

Analytics Infrastructure Efficiency Technology 194

DZone

AUGUST 22, 2023

Just-In-Time is a dynamic compilation technique that allows software programs to be compiled at runtime, optimizing performance and reducing startup times. It has enabled developers to write code that is both highly efficient and flexible, thanks to this innovative approach. How Does JIT Compilation Work?

Programming 187

Programming Innovation Efficiency Code 187

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 240

AWS Efficiency Azure Cloud 240

DZone

JANUARY 25, 2024

Extended Berkeley Packet Filter (eBPF) is a programming technology designed for the Linux operating system (OS) kernel space, enabling developers to create efficient, secure, and non-intrusive programs.

Monitoring 173

Monitoring Programming Operating System Efficiency 173

Dynatrace

JANUARY 13, 2022

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality.

DevOps 261

DevOps Speed Artificial Intelligence Innovation 261

Dynatrace

NOVEMBER 3, 2023

Many consider it an effective solution for improving efficiency and overall satisfaction for developers across a variety of organizations and industries. Platform engineering is a practice that outlines how development teams build internal platforms to create self-service capabilities for software engineering teams.

Engineering 205

Engineering DevOps Software Engineering Scalability 205

Dynatrace

OCTOBER 30, 2023

With higher demand for innovation, IT teams are working diligently to release high-quality software faster. The software delivery pipeline is becoming as business critical as any other product or service,” said Dynatrace founder and CTO Bernd Greifeneder at the 2023 Dynatrace Innovate conference in Barcelona.

Engineering 239

Engineering DevOps Innovation Storage 239

Dynatrace

MAY 2, 2024

As more organizations adopt generative AI and cloud-native technologies, IT teams confront more challenges with securing their high-performing cloud applications in the face of expanding attack surfaces. blog Generative AI is an artificial intelligence model that can generate new content—text, images, audio, code—based on existing data.

Artificial Intelligence 222

Artificial Intelligence Cloud Best Practices DevOps 222

DZone

OCTOBER 4, 2019

Multitasking is the MOST efficient. Writing and especially maintaining tests takes time and effort, however, cutting short on software tests can’t be the solution. Which scopes, approaches, and test technology should be pursued in order to make testing more efficient?

Efficiency 100

Efficiency Testing Technology Technology 100

Dynatrace

DECEMBER 8, 2022

DevOps platform engineers are responsible for cloud platform availability and performance, as well as the efficiency of virtual bandwidth, routers, switches, virtual private networks, firewalls, and network management. Version control system and source code management with end-to-end DevOps platform and cloud-hosted Git services.

DevOps 184

DevOps Engineering Testing Open Source 184

Dynatrace

NOVEMBER 28, 2023

Deploy stage In the deployment stage, the application code is typically deployed in an environment that mirrors the production environment. This step is crucial as this environment is used for the final validation and testing phase before the code is released into production. To illustrate this concept, consider the scenario below.

Traffic 256

Traffic Best Practices Strategy Engineering 256

Dynatrace

OCTOBER 16, 2023

The road to modern observability As organizations continue to operate in the cloud, they discover that cloud observability becomes paramount to their ability to run efficiently and securely. As customers continue to operate in the cloud, their needs for efficiency and cost-effectiveness only grow. Data-driven cloud optimization.

Innovation 190

Innovation DevOps Cloud Efficiency 190

Dynatrace

SEPTEMBER 22, 2022

Staying ahead of customer needs requires speed and agility from all phases of the software development life cycle (SDLC). DevOps automation can help to drive reliability across the SDLC and accelerate time-to-market for software applications and new releases. It helps to assess the long- and short-term efficiency and speed of DevOps.

DevOps 182

DevOps Innovation Speed Monitoring 182

Dynatrace

MAY 4, 2023

Many organizations are adopting a DevSecOps approach to software delivery with the goal of accelerating release validation and ensuring frictionless, secure software delivery. But without intelligent automation, they’re running into siloed processes and reduced efficiency.

DevOps 206

DevOps Speed Innovation Open Source 206

Dynatrace

NOVEMBER 2, 2023

But with many organizations relying on traditional, manual processes to ensure service reliability and code quality, software delivery speed suffers. Without autonomous operations, DevOps teams face an increased volume of manual interventions, which are detrimental to productivity, cost efficiency, and employee satisfaction.

DevOps 198

DevOps Benchmarking Azure Innovation 198

Dynatrace

FEBRUARY 28, 2024

SRG is a potent tool that automates the analysis of release impacts, ensuring validation of service availability, performance, and capacity objectives throughout the application ecosystem by examining the effect of advanced test suites executed earlier in the testing phase.

DevOps 197

DevOps Metrics Engineering Analytics 197

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. You might already use ScaleGrid hosting for Redis hosting to power your performance-sensitive applications.

Metrics 130

Metrics Monitoring Latency Cache 130

Dynatrace

SEPTEMBER 28, 2021

Now, with the hard work done, you can sit back, relax, and witness the collaboration between your Dev and Ops teams as they deliver better quality software faster. Let’s dive into how these metrics and DevOps KPIs can help your team perform better and deliver better code. You have set up a DevOps practice.

DevOps 193

DevOps Metrics Traffic Efficiency 193

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.

DevOps 226

DevOps Infrastructure Software Software 226