Dynatrace

MARCH 17, 2021

Hops and DevOps; an unlikely pairing, but one that turns out to go very well together! Dynatrace hosted another tasting event for our community, which included some craft beers from a local brewery and the very hot topic of DevOps – one that has been omnipotent in the IT industry almost since its inception in 2009. Dynatrace news.

DevOps 182

DevOps Media Metrics Technology 182

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. How to approach transforming your DevOps processes.

DevOps 206

DevOps Speed Efficiency Engineering 206

Dynatrace

FEBRUARY 21, 2024

This approach supports innovation, ambitious SLOs, DevOps scalability, and competitiveness. Below is a sample SRG dashboard for these signals: Latency Latency refers to the amount of time that data takes to transfer from one point to another within a system. But how do they function in practice? The warning threshold is 50-60 ms.

Speed 200

Speed Software Software Latency 200

Dynatrace

APRIL 18, 2022

When it comes to site reliability engineering (SRE) initiatives adopting DevOps practices, developers and operations teams frequently find themselves at odds with one another. Operations teams want to make sure the system doesn’t break. Too many SLOs create complexity for DevOps. Limits of scripting for DevOps and SRE.

Open Source 180

Open Source DevOps Cloud Metrics 180

Dynatrace

JANUARY 31, 2022

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.

DevOps 189

DevOps Testing Monitoring Speed 189

Dynatrace

JANUARY 31, 2022

The DevOps approach to developing software aims to speed applications into production by releasing small builds frequently as code evolves. As part of the continuous cycle of progressive delivery, DevOps teams are also adopting shift-left and shift-right principles to ensure software quality in these dynamic environments.

DevOps 194

DevOps Testing Monitoring Speed 194

Dynatrace

APRIL 29, 2021

To compete, organizations have to achieve both speed and reliability when bringing new products and services to market. To meet this demand, organizations are adopting DevOps practices , such as continuous integration and continuous delivery, and the related practice of continuous deployment, referred to collectively as CI/CD.

DevOps 262

DevOps Logistics Code Software 262

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 228

Games Engineering DevOps Education 228

Dynatrace

NOVEMBER 7, 2023

Provide self-service platform services with dedicated UI for development teams to improve developer experience and increase speed of delivery. Dynatrace supports DevOps teams in their independence from platform engineers by enabling observability features for their applications using a simple toggle in the Dynatrace web UI.

Engineering 266

Engineering DevOps Best Practices Infrastructure 266

Dynatrace

FEBRUARY 15, 2023

Powered by Grail and the Dynatrace AutomationEngine , Site Reliability Guardian helps DevOps platform teams make better-informed release decisions by utilizing all the contextual observability and application security insights of the Dynatrace platform.

DevOps 211

DevOps Latency Traffic Best Practices 211

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. This method known as GitOps would also boost the speed and efficiency of practicing DevOps organizations. GitOps improves speed and scalability. Dynatrace news. What is GitOps?

DevOps 218

DevOps Infrastructure Speed Cloud 218

Dynatrace

MARCH 29, 2024

Others involve introducing new threats as AI becomes more integrated into IT systems as a whole. Predictive AI: A type of AI that analyzes patterns, trends, and data using statistical algorithms and other advanced machine learning techniques to anticipate future behavior in systems.

Artificial Intelligence 176

Artificial Intelligence DevOps Strategy Open Source 176

Dynatrace

JANUARY 23, 2024

Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. But the demand for faster delivery speeds and higher-quality software has demonstrated that current software delivery methods are no longer sufficient. Enter causal AI.

Performance 179

Performance DevOps Innovation Artificial Intelligence 179

Dynatrace

JULY 25, 2019

Whether you’re rolling back a release or applying a hotfix, Flow Designer increases speed and creates consistency in the delivery cycle. As a first use case, let’s explore how your DevOps teams can prevent a process crash from taking down services across an organization—in five easy steps. Slow microservices.

Systems 170

Systems DevOps Design Google 170

Dynatrace

NOVEMBER 22, 2022

The nirvana state of system uptime at peak loads is known as “five-nines availability.” In its pursuit, IT teams hover over system performance dashboards hoping their preparations will deliver five nines—or even four nines—availability. How can IT teams deliver system availability under peak loads that will satisfy customers?

Infrastructure 176

Infrastructure Availability Systems Retail 176

Dynatrace

APRIL 11, 2023

Log4Shell required many organizations to take devices and applications offline to prevent malicious attackers from gaining access to IT systems and sensitive data. As a result, organizations need to be vigilant in identifying and addressing vulnerabilities to protect their systems and data.

Cloud 180

Cloud DevOps Open Source Retail 180

Dynatrace

MAY 31, 2023

Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed. availability. Make SLOs realistic.

Best Practices 216

Best Practices DevOps Latency Metrics 216

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. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 195

Artificial Intelligence DevOps Hardware Virtualization 195

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 268

Efficiency Performance Analytics DevOps 268

Dynatrace

JULY 13, 2021

As organizations aim for faster delivery of value to their customers, the frequency of releases inevitably increases, which introduces risks and uncertainty into production systems—unless automated tests and quality gates can be leveraged to provide confidence. Shift left your SRE practices. How the evaluation works. What’s next.

Cloud 237

Cloud DevOps Benchmarking Speed 237

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. The DevOps people looking end-to-end.

Development 255

Development DevOps Programming Cloud 255

Dynatrace

NOVEMBER 2, 2022

As a result, many organizations have turned to DevOps (the alignment of development and operations teams) and DevSecOps (the alignment of development, security and operations teams) methodologies to enable more efficient and high-quality software development. The ability to measure a system’s current state based on the data it generates.

Software 188

Software Software Artificial Intelligence DevOps 188

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 189

DevOps Artificial Intelligence Healthcare Innovation 189

Dynatrace

MAY 23, 2022

As a result, organizations are weighing microservices vs. monolithic architecture to improve software delivery speed and quality. Combined with Agile or DevOps approaches and methodologies, enterprises can accelerate their ability to deliver digital services. This is usually a relational database management system.

Architecture 189

Architecture DevOps Monitoring Programming 189

Dynatrace

MAY 17, 2023

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. To do this effectively, the input from prompt engineering needs to be trustworthy and actionable.

Innovation 252

Innovation Software Software Artificial Intelligence 252

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 249

Engineering DevOps Government Latency 249

Dynatrace

OCTOBER 19, 2023

Organizations should adopt comprehensive practices that encompass a wide range of potential vulnerabilities and apply them across all their IT systems. DevSecOps automation DevSecOps automation is a fundamental practice that combines security with the speed and agility of DevOps. Download the free 2023 CISO Report.

Best Practices 202

Best Practices Benchmarking Speed Infrastructure 202

Testsigma

MAY 19, 2021

DevOps and cloud-based computing have existed in our life for some time now. DevOps is a casket that contains automation as its basic principle. Today, we are here to talk about the successful amalgamation of DevOps and cloud-based technologies that is amazing in itself. Why Opt For Cloud-Based Solutions and DevOps?

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

Tasktop

MAY 24, 2021

The European leg of the DevOps Enterprise (Virtual) Summit 2021 returned last week (17-20 May) as the community reflected on a year like none other. The admiral would no doubt admire what Jason Cox, Director of Platform & Systems Reliability, is doing at Disney.

DevOps 91

DevOps Metrics Healthcare Innovation 91

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 NoOps.

DevOps 210

DevOps Big Data Cloud Innovation 210

Dynatrace

JANUARY 31, 2024

Data observability involves monitoring and managing the internal state of data systems to gain insight into the data pipeline, understand how data evolves, and identify any issues that could compromise data integrity or reliability. This not only underscores the universal significance of data, it also hints at its pivotal role within DevOps.

DevOps 189

DevOps Analytics Airlines Metrics 189

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. It provides valuable insight into complex public, private, and hybrid cloud IT structures, systems, and frameworks.

Software 180

Software Software Analytics Big Data 180

Dynatrace

JUNE 1, 2023

As organizations digitally transform, they’re also accelerating the speed of software delivery. Serving as agreed-upon targets to meet service-level agreements (SLAs), SLOs can help organizations avoid downtime, improve software quality, and promote automation in the DevOps lifecycle. Five example SLOs for faster, more reliable apps 1.

Latency 171

Latency Website Traffic Virtualization 171

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 257

Serverless Infrastructure Innovation DevOps 257

Scalegrid

DECEMBER 21, 2023

With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

Dynatrace

JANUARY 19, 2022

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to the activity in their multi-cloud environments. Teams can understand exactly which systems and services are affected and have a clear path of action. DevOps and DevSecOps orchestration. What is DevOps?

Artificial Intelligence 173

Artificial Intelligence DevOps Performance Games 173

Dynatrace

APRIL 6, 2022

DevOps teams can also benefit from full-stack observability. They can get accurate, real-time feedback from integration or production systems, resolving UX issues and application performance challenges more quickly. With improved diagnostic and analytic capabilities, DevOps teams can spend less time troubleshooting.

DevOps 225

DevOps Innovation Infrastructure Analytics 225