DZone

MARCH 5, 2024

Editor's Note: The following is an article written for and published in DZone's 2024 Trend Report, The Modern DevOps Lifecycle: Shifting CI/CD and Application Architectures. Complementing these practices is site reliability engineering (SRE), a discipline ensuring system reliability, performance, and scalability.

Availability 288

Availability DevOps Infrastructure Scalability 288

Dynatrace

SEPTEMBER 30, 2019

That’s why traceability, scalability, and reliability are crucial aspects of a cloud strategy, and for this county, OpenShift and Dynatrace delivered on these needs. The post Keeping DevOps cool in a heated environment appeared first on Dynatrace blog. Map of Woolsey Fire Burn Area National Park Service. Why Dynatrace and OpenShift.

DevOps 197

DevOps Traffic Website Infrastructure 197

Dynatrace

NOVEMBER 10, 2022

To take full advantage of the scalability, flexibility, and resilience of cloud platforms, organizations need to build or rearchitect applications around a cloud-native architecture. So, what is cloud-native architecture, exactly? What is cloud-native architecture? The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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 264

Engineering DevOps Government Latency 264

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Dynatrace news. As teams begin collecting and working with observability data, they are also realizing its benefits to the business, not just IT.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

SEPTEMBER 27, 2024

The goal was to develop a custom solution that enables DevOps and engineering teams to analyze and improve pipeline performance issues and alert on health metrics across CI/CD platforms. Faced with these requirements, Omnilogy carefully evaluated the following two options for implementing a solution to the pipeline observability challenge.

Government 246

Government DevOps Azure Scalability 246

Dynatrace

JANUARY 19, 2022

Over the past 18 months, the need to utilize cloud architecture has intensified. 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. Modern cloud-native environments rely heavily on microservices architectures.

Artificial Intelligence 245

Artificial Intelligence DevOps Performance Games 245

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 245

Engineering DevOps Government Latency 245

Dynatrace

JANUARY 12, 2022

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. This is great!

Analytics 246

Analytics Systems DevOps Healthcare 246

Dynatrace

MAY 4, 2022

Cloud-native applications now dominate IT as DevOps teams respond to growing demands to deliver functionality faster and more securely. As DevOps teams are pivoting to cloud-native technologies, IT environments have become increasingly complex. Dynatrace news. Improving cross-team collaboration improves cloud-native success.

Cloud 246

Cloud DevOps Strategy Monitoring 246

Dynatrace

FEBRUARY 10, 2023

Data lakehouse architecture stores data insights in context — handbook Organizations need a data architecture that can cost-efficiently store data and enable IT pros to access it in real time and with proper context. DevOps metrics and digital experience data are critical to this. That’s where a data lakehouse can help.

Efficiency 306

Efficiency Performance Analytics DevOps 306

Dynatrace

MARCH 3, 2020

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. This involves new software delivery models, adapting to complex software architectures, and embracing automation for analysis and testing. Performance-as-a-self-service .

Performance 314

Performance Education Innovation Software Architecture 314

Dynatrace

JULY 9, 2020

Gone are the days for Christian manually looking at dashboards and metrics after a new build got deployed into a testing or acceptance environment: Integrating Keptn into your existing DevOps tools such as GitLab is just a matter of an API call. Automate Performance aka Performance as a Self-Service: Watch SRE-Driven Performance Engineering.

Cloud 261

Cloud DevOps Architecture Azure 261

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 234

Automotive DevOps Software Software 234

Dynatrace

NOVEMBER 9, 2021

Typically, these projects span but are not limited to, DevOps Automation, Cloud Ops Automation, and Application Modernization. DevOps and Cloud Ops Automation. Figure 6 DevOps automation and Cloud Ops automation use cases. Application Modernization. Figure 8 Example framework for cloud migration.

DevOps 246

DevOps Innovation Cloud Programming 246

O'Reilly

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments.

DevOps 144

DevOps Software Engineering Infrastructure Open Source 144

Dynatrace

JUNE 13, 2022

Adopting cloud-native technologies and open source software makes applications more feature rich and scalable, but it also increases IT complexity. DevSecOps practices build on DevOps, ensuring that security concerns are top of mind as developers build code. Learn how security improves DevOps. DevOps vs. DevSecOps – blog.

Open Source 246

Open Source DevOps Java Innovation 246

Dynatrace

APRIL 30, 2019

Bamboo, Azure DevOps, AWS CodePipeline …. Beyond basic metrics: Detecting Architectural Regressions. At the recent DevExperience conference in Iasi, Romania I presented on Top Performance Challenges in Distributed Architectures. Use this to detect any architectural regressions introduced through code or config changes.

Architecture 149

Architecture Open Source Azure Metrics 149

Dynatrace

NOVEMBER 3, 2021

Organizations are depending more and more on distributed architectures to provide application services. Conventional database performance analysis is simple, though, compared with diagnosing microservice architectures with multiple components and an array of dependencies. Dynatrace news.

Monitoring 264

Monitoring Metrics DevOps Scalability 264

Dynatrace

NOVEMBER 28, 2022

The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability. Understand and optimize your architecture. Automatic observability and root-cause analysis for DevOps, cloud, and apps teams.

Lambda 246

Lambda AWS Serverless Latency 246

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. To do so we have successfully established AI-based White box load and resiliency testing with JMeter and Dynatrace, helping identify and resolve major performance and scalability problems in recent projects before deploying to production. Dynatrace news.

Testing 246

Testing Open Source Metrics Infrastructure 246

Dynatrace

DECEMBER 22, 2021

They are particularly important in distributed systems, such as microservices architectures. Observability platforms are becoming essential as the complexity of cloud-native architectures increases. As applications have become more complex, observability tools have adapted to meet the needs of developers and DevOps teams.

Artificial Intelligence 245

Artificial Intelligence Metrics Architecture DevOps 245

Dynatrace

APRIL 7, 2023

Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. Dynatrace The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability.

Lambda 246

Lambda AWS Serverless Latency 246

Dynatrace

DECEMBER 6, 2021

The Dynatrace Platform already supported over 60 technologies and an extensible architecture – making Dynatrace the natural choice. Our integrations needed to work seamlessly so that downstream, our DevOps and IT teams would never encounter issues that could disrupt our digital transformation. Build a foundation that scales.

Innovation 245

Innovation Technology Technology Strategy 245

Dynatrace

SEPTEMBER 9, 2022

According to IBM , application modernization takes existing legacy applications and modernizes their platform infrastructure, internal architecture, or features. These insights help organizations plan for cloud scalability, performance improvements, and business alignment. Why should organizations modernize applications?

Strategy 264

Strategy Benchmarking Serverless Cloud 264

Dynatrace

JULY 29, 2024

How observability, application security, and AI enhance DevOps and platform engineering maturity – blog Observability and AI can help ensure the reliability, security, and efficiency of DevOps and platform engineering. The following resources explore the ways in which AI makes DevSecOps more effective. Learn more in this blog.

Analytics 245

Analytics Government DevOps Efficiency 245

Dynatrace

APRIL 5, 2021

It also enables DevOps teams to connect to any number of AWS services or run their own functions. Lambda’s highly efficient, on-demand computing environment aligns with today’s microservices-centric architectures, and readily integrates with other popular AWS offerings that an organization may already be using.

Lambda 258

Lambda AWS Serverless Hardware 258

Dynatrace

AUGUST 16, 2021

Automatically collect and evaluate business, service, and architectural indicator metrics to promote or roll back deployments. Successful DevOps teams have figured out that “delivering more with less” requires careful management of release risks and automation to scale. SLO validation – ?Automatically Topics in this blog series.

Software 246

Software Software Open Source Azure 246

Alex Podelko

NOVEMBER 21, 2018

From load testing to DevOps. The importance of the transformation is stressed in the subtitle of the book, From load testing to DevOps , moving from standalone load testing, a mere step at the end of software development cycle, to performance testing fully integrated into DevOps.

DevOps 113

DevOps Testing Testing Tools Performance Testing 113

Dynatrace

JANUARY 19, 2021

Serverless architectures help developers innovate more efficiently and effectively by removing the burden of managing underlying infrastructure. Dynatrace is happy to announce its enhanced AWS Lambda extension, expanding its support for Amazon Web Services (AWS) Lambda and serverless architectures. applications,?mobile mobile apps,?or?APIs

Lambda 264

Lambda Serverless AWS Mobile 264

Dynatrace

DECEMBER 10, 2020

Change starts by thoroughly evaluating whether the current architecture, tools, and processes for configuration, infrastructure, code delivery pipelines, testing, and monitoring enable improved customer experience faster and with high quality or not. Rethinking the process means digital transformation.

Strategy 245

Strategy Performance Logistics Monitoring 245

Dynatrace

JANUARY 23, 2024

‘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. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

Performance 246

Performance DevOps Innovation Energy 246

Dynatrace

MAY 31, 2021

In particular, achieving observability across all containers controlled by Kubernetes can be laborious for even the most experienced DevOps teams. DevOps and continuous delivery: A revolution in processes, and the way people and software delivery teams work. How do you make it scalable? But what is Kubernetes exactly?

Virtualization 182

Virtualization DevOps Infrastructure Cloud 182

Dynatrace

MARCH 17, 2021

As application security shifts left to address this issue, organizations have tried to retrofit traditional AST methods to operate as part of a DevOps tool chain. Results, unfortunately, have been mixed. How open-source packages have changed the game.

Open Source 242

Open Source Cloud Games Java 242

Dynatrace

JULY 13, 2020

The bold ones were building distributed architectures using SOA, trying to implement ESBs and this all looked good on paper but ended up being difficult to implement. . ? Cloud Native DevOps with Kubernetes : . Containers and Microservices: R evolution in the architecture of distributed systems . ? Cloud-native?

Google 173

Google DevOps Ecommerce Cloud 173

Dynatrace

FEBRUARY 9, 2021

The devil is in the detail, though because of the sheer number, breadth, and volatility of technologies used in modern architectures and the immense volume, velocity, and variety of data they produce. Our goal is to make this process simple, scalable, and enjoyable. It requires a simple and automated approach to provide value at scale.

Software 221

Software Software Technology Technology 221

Dynatrace

AUGUST 25, 2023

Enable DevOps teams to modernize legacy apps Too many HHS IT organizations have an inventory of outdated applications with duplicative functionality, questionable states of health, and security vulnerabilities. IT modernization can help. These insights and intelligent automation enable teams to modernize outdated apps with confidence.

Government 246

Government Infrastructure Programming Cloud 246