Dynatrace

APRIL 8, 2024

Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. Optimize the IT infrastructure supporting risk management processes and controls for maximum performance and resilience. The IT infrastructure, services, and applications that enable processes for risk management must perform optimally.

Analytics 210

Analytics Infrastructure Efficiency Technology 210

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 274

Serverless Infrastructure Innovation DevOps 274

Dynatrace

JULY 25, 2022

The DevOps playbook has proven its value for many organizations by improving software development agility, efficiency, and speed. These methods improve the software development lifecycle (SDLC), but what if infrastructure deployment and management could also benefit? GitOps improves speed and scalability. Dynatrace news.

DevOps 234

DevOps Infrastructure Speed Cloud 234

Dynatrace

NOVEMBER 13, 2020

When you set up user actions in your code, OneAgent automatically links associated web requests to those user actions. With Dynatrace OneAgent running on your back-end systems, you gain an end-to-end perspective through your infrastructure all the way to your back-end method calls and database statements.

Code 181

Code Mobile Monitoring Infrastructure 181

Dynatrace

OCTOBER 19, 2023

It’s more important than ever for organizations to ensure they’re taking appropriate measures to secure and protect their applications and infrastructure. Implementing vulnerability management in your application security process aids in vulnerability detection and prevention before they can enter production code.

Best Practices 218

Best Practices Benchmarking Speed Infrastructure 218

The Netflix TechBlog

MARCH 5, 2019

Central engineering teams enable this operational model by reducing the cognitive burden on innovation teams through solutions related to securing, scaling and strengthening (resilience) the infrastructure. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 182

Infrastructure Cloud Scalability AWS 182

Dynatrace

AUGUST 11, 2022

Effective application development requires speed and specificity. Function as a service is a cloud computing model that runs code in small modular pieces, or microservices. This enables teams to quickly develop and test key functions without the headaches typically associated with in-house infrastructure management.

Development 259

Development Serverless Best Practices Lambda 259

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 252

Engineering DevOps Innovation Storage 252

Dynatrace

FEBRUARY 12, 2024

Observability-driven development Yarden Laifenfeld, senior software engineer at Dynatrace, presented the first use case for the software development lifecycle (SDLC): observability-driven development, which is the process of integrating observability and security before the first line of code is even written.

Engineering 190

Engineering Development Infrastructure Cloud 190

Dynatrace

SEPTEMBER 21, 2023

Today, the platform engineer role is gaining speed as the newest byproduct of scaling DevOps in the emerging but complex cloud-native world. The “cognitive load” refers to the additional requirements of building an application beyond the code itself. What is this new discipline, and is it a game-changer or just hype?

Games 245

Games Engineering DevOps Education 245

Tech News Gather

JUNE 1, 2023

Coding is necessary when it comes to every app development. As a result, no code platform is quickly revolutionizing the app development industry. Let us explore the main reasons for the no-code app development in their projects. Mobile development takes a boon regarding the no-code platform for better insights.

Code 52

Code Development Innovation Efficiency 52

Dynatrace

APRIL 3, 2024

To address this, many states apply for federal funding to build a security operations center to proactively defend against the growing rate of cybersecurity threats and ensure the resilience of digital infrastructure. This reduces finger-pointing and eliminates war rooms, improving collaboration and cross-functional working relationships.

Government 164

Government Social Media Metrics Infrastructure 164

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 tools speed up delivery cycles by reducing human error and bottlenecks, resulting in fewer and shorter feedback loops. It helps to assess the long- and short-term efficiency and speed of DevOps.

DevOps 197

DevOps Innovation Speed Monitoring 197

CSS Wizardry

OCTOBER 16, 2023

This shows us the sheer power and importance of compression, so ensure you have the best setup possible for your infrastructure. Connection One thing we haven’t looked at is the impact of network speeds on these outcomes. Compile: the parsed code is compiled into optimised bytecode. Don’t optimise to a sub-optimal scenario.

Cache 291

Cache Latency Strategy Speed 291

Dynatrace

OCTOBER 4, 2022

A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Data lakehouses ingest large structured and unstructured data volumes at a very high speed in their raw, native form. What is a data lakehouse? Data management.

Artificial Intelligence 218

Artificial Intelligence Storage Analytics Government 218

Dynatrace

JULY 12, 2022

AIOps and observability for infrastructure management. This kind of IT automation “ingests data from every layer in the stack — from the infrastructure layer to the application layer and even user experience data,” says Bipin Singh, director of product marketing at Dynatrace. IT automation speeds code development.

Innovation 227

Innovation Infrastructure DevOps Azure 227

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 191

Artificial Intelligence DevOps Strategy Open Source 191

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors.

Artificial Intelligence 195

Artificial Intelligence Analytics Efficiency Database 195

Dynatrace

OCTOBER 4, 2022

For IT infrastructure managers and site reliability engineers, or SREs , logs provide a treasure trove of data. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. where an error occurred at the code level.

Analytics 230

Analytics Storage Infrastructure Metrics 230

Scalegrid

MARCH 14, 2024

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

OCTOBER 30, 2023

Application performance monitoring (APM) , infrastructure monitoring, log management, and artificial intelligence for IT operations (AIOps) can all converge into a single, integrated approach. This integrated approach represents significant time savings, drastically reducing MTTI and speeding mean time to resolution (MTTR).

Best Practices 253

Best Practices Analytics Artificial Intelligence Infrastructure 253

Dynatrace

JUNE 26, 2023

Consider how AI-enabled chatbots such as ChatGPT and Google Bard help DevOps teams write code snippets or resolve problems in custom code without time-consuming human intervention. DevSecOps and ITOps teams can then perform tasks with accuracy at the speed a business requires. Operations. Automate DevSecOps processes at scale.

Software 196

Software Software Analytics Big Data 196

Dynatrace

MAY 31, 2023

How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. Microservices-based architectures and software containers enable organizations to deploy and modify applications with unprecedented speed.

Best Practices 230

Best Practices DevOps Latency Metrics 230

Dynatrace

FEBRUARY 10, 2022

As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage. Further, many organizations—more than 90%—have turned to cloud computing to navigate the highwire act of balancing speed and quality.

Artificial Intelligence 192

Artificial Intelligence Performance Innovation Speed 192

Dynatrace

MAY 8, 2023

DevOps monitoring is an observability practice that creates a real-time view of the status of applications, services, and infrastructure in pre-production and production environments. The process involves monitoring various components of the software delivery pipeline, including applications, infrastructure, networks, and databases.

DevOps 228

DevOps Efficiency Monitoring Infrastructure 228

Dynatrace

OCTOBER 4, 2022

However, cloud infrastructure has become increasingly complex. Further, the delivery infrastructure that makes this happen has also become complex. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. Much of the software developed today is cloud native.

Analytics 200

Analytics Software Software Storage 200

Dynatrace

DECEMBER 13, 2023

Examples of observability data include metrics, logs, and traces which provide visibility into the app’s behavior and performance at different levels of the stack, including the application code, infrastructure, and network. Mobile app performance is not just about speed and responsiveness but also about battery life.

Best Practices 207

Best Practices Mobile Metrics Performance 207

Dynatrace

DECEMBER 14, 2021

It will let you focus on where you want to be – building and running apps perhaps – while GKE Autopilot ‘self-flies’ the rest of the infrastructure for you. Just as GKE Autopilot is running your Kubernetes infrastructure, by deploying the Dynatrace Operator, the ? Learn more about Kubernetes: Challenges for observability platforms.

DevOps 229

DevOps Infrastructure Innovation Google 229

Dynatrace

NOVEMBER 6, 2023

They also care about infrastructure: SREs require system visibility and incident management. But developers need code-level visibility and code-level data.” That’s not how I envision code-level observability,” Laifenfeld said. You won’t need to know Kubernetes to understand what’s going on with your code in Kubernetes.”

Development 270

Development DevOps Programming Cloud 270

Dynatrace

APRIL 6, 2022

Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Observability across the full technology stack gives teams comprehensive, real-time insight into the behavior, performance, and health of applications and their underlying infrastructure.

DevOps 238

DevOps Innovation Infrastructure Analytics 238

Dynatrace

NOVEMBER 10, 2022

This architectural method encompasses software containers, service meshes, microservices , immutable infrastructure, and declarative APIs to create an environment that is inherently scalable, extendable, and easy to manage through automation. Immutable infrastructure. Stateless whenever possible. Default to managed services.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

Tech News Gather

MAY 27, 2024

Ideal for both developers and IT professionals, ACI eliminates the need for complex infrastructure management, providing a straightforward path to deploying and managing containerized applications without the overhead of orchestrating a container hosting environment.

Azure 52

Azure Best Practices Virtualization Scalability 52

Dynatrace

MAY 17, 2023

For example, it can help DevOps and platform engineering teams write code snippets by drawing on information from software libraries. First, SREs must ensure teams recognize intellectual property (IP) rights on any code shared by and with GPTs and other generative AI, including copyrighted, trademarked, or patented content.

Innovation 269

Innovation Software Software Artificial Intelligence 269

Dynatrace

APRIL 11, 2023

For example, the open source Java library at the heart of the Log4Shell crisis in 2021 was patched within days given the pervasiveness of the code. How vulnerabilities are evaluated – platform module Learn the mechanism that Dynatrace Application Security uses to generate third-party vulnerabilities and code-level vulnerabilities.

Cloud 195

Cloud DevOps Open Source Retail 195

Dynatrace

MAY 15, 2020

Overcoming the barriers presented by legacy security practices that are typically manually intensive and slow, requires a DevSecOps mindset where security is architected and planned from project conception and automated for speed and scale throughout where possible. Challenge: Monitoring processes for anomalous behavior.

Government 235

Government DevOps Infrastructure Network 235

Dynatrace

NOVEMBER 9, 2022

But many companies’ IT infrastructure doesn’t start out in the cloud. Many organizations turn to cloud migration and cloud application modernization to gain the benefits of serverless environments, such as flexibility, scalability, and more cost-effective cloud infrastructure. . And Gartner predicts that? What is DevOps automation?

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

SEPTEMBER 4, 2020

The Dynatrace Software Intelligence Platform delivers precise answers about the performance of your applications, the underlying infrastructure, and the experience of your end-users. You can, for example, drive ad hoc multidimensional analysis to analyze, chart, and report on microservice-based metrics without code changes.

Speed 132

Speed Metrics Monitoring Availability 132