Dynatrace

NOVEMBER 14, 2023

Site reliability engineering (SRE) has become increasingly important to organizations looking to keep up with the rapid pace of digital transformation. Dynatrace product marketing director of DevOps Saif Gunja hosted the 2023 State of SRE webinar. Teams should ensure that even the smallest SLOs relate to business growth.

Best Practices 197

Best Practices Engineering DevOps Software Engineering 197

Dynatrace

FEBRUARY 12, 2024

When it comes to platform engineering, not only does observability play a vital role in the success of organizations’ transformation journeys—it’s key to successful platform engineering initiatives. The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

Engineering 187

Engineering Development Infrastructure Cloud 187

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 195

DevOps Media Metrics Technology 195

DZone

MARCH 8, 2024

In today's fast-paced digital landscape, organizations are increasingly embracing multi-cloud environments and cloud-native architectures to drive innovation and deliver seamless customer experiences. They enable developers, engineers, and architects to drive innovation, but they also introduce new challenges."

Analytics 325

Analytics Innovation DevOps Architecture 325

Dynatrace

FEBRUARY 4, 2021

What is site reliability engineering? 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. Dynatrace news. SRE bridges the gap between Dev and Ops teams.

Engineering 257

Engineering DevOps Government Latency 257

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Microservices benefits.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

This method of structuring, developing, and operating complex, multi-function software as a collection of smaller independent services is known as microservice architecture. Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Microservices benefits.

Architecture 245

Architecture Software Software Development 245

Dynatrace

OCTOBER 28, 2021

But with the complexity that comes with digital transformation and cloud-native architecture, teams need a way to make sure applications can withstand the “chaos” of production. Chaos engineering answers this need so organizations can deliver robust, resilient cloud-native applications that can stand up under any conditions.

Engineering 230

Engineering Entertainment Cloud Infrastructure 230

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. Too many SLOs create complexity for DevOps. With many pipelines to maintain, DevOps teams need automated orchestration. Dynatrace news.

Open Source 192

Open Source DevOps Cloud Metrics 192

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 276

Availability DevOps Infrastructure Scalability 276

Dynatrace

JULY 7, 2022

Many organizations are taking a microservices approach to IT architecture. A microservices approach enables DevOps teams to develop an application as a suite of small services. However, in some cases, an organization may be better suited to another architecture approach. What is the monolithic architecture approach?

Architecture 205

Architecture Serverless Azure Programming 205

Dynatrace

SEPTEMBER 4, 2020

This is a mouthful of buzzwords” is how I started my recent presentations at the Online Kubernetes Meetup as well as the DevOps Fusion 2020 Online Conference when explaining the three big challenges we are trying to solve with Keptn – our CNCF Open Source project: Automate build validation through SLI/SLO-based Quality Gates. Dynatrace news.

DevOps 248

DevOps Metrics Innovation Azure 248

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 180

Engineering DevOps Government Latency 180

Dynatrace

MARCH 22, 2021

If security concerns are driving you to review your approach to development, you’re likely weighing DevOps vs DevSecOps, and considering how to incorporate security practices into your software delivery workflows, to protect your users and your business. DevSecOps is the practice of integrating security into the DevOps workflow.

DevOps 158

DevOps Speed Infrastructure Best Practices 158

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

Serverless 181

Serverless Architecture Open Source Innovation 181

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 201

DevOps Testing Monitoring Speed 201

DZone

JUNE 22, 2023

Architects, DevOps, and cloud engineers are gradually trying to understand which is better to continue the journey with: the API gateway, or adopt an entirely new service mesh technology?

DevOps 302

DevOps Architecture Innovation Infrastructure 302

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 207

DevOps Testing Monitoring Speed 207

Abhishek Tiwari

FEBRUARY 26, 2020

The evolution of your technology architecture should depend on the size, culture, and skill set of your engineering organization. There are no hard-and-fast rules to figure out interdependency between technology architecture and engineering organization but below is what I think can really work well for product startup.

Technology 81

Technology Technology Architecture Engineering 81

Testsigma

NOVEMBER 18, 2021

George Ukkuru is a seasoned technocrat and AVP of quality engineering, DevOps, and SRE @Marlabs Inc. He has also authored a number of books on quality engineering and test automation. Today, TCOEs have been converted to a hybrid model as teams adopt Agile & DevOps. It started in the early 2000s. That is slow.

Engineering 104

Engineering Social Media DevOps Azure 104

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. Enter causal AI.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

NOVEMBER 14, 2023

DevOps practices have been established in the last decade to accomplish this goal and deal with the dynamics of modern, cloud-native software architectures. To bring these practices to life within an organization at scale, the discipline of platform engineering has gained popularity.

Government 199

Government Best Practices DevOps Engineering 199

Dynatrace

SEPTEMBER 30, 2019

Dynatrace’s AI engine, Davis automatically identified high traffic surges on the county website as the fire took hold. The challenges of migrating those workloads from traditional monolithic applications on 3-tiered architecture to a cloud-native platform and microservice architecture may seem daunting. How Dynatrace helped.

DevOps 160

DevOps Traffic Website Infrastructure 160

InfoQ

APRIL 12, 2024

Yao Yue recapitulates scaling a project at Twitter while summarizing some key lessons learned about effective performance engineering. By Yao Yue

Engineering 98

Engineering Performance Design Scalability 98

Dynatrace

MAY 31, 2023

Site reliability engineering (SRE) has recently become a critical discipline in recent years as the world has shifted in favor of web-based interactions. This shift is leading more organizations to hire site reliability engineers to guarantee the reliability and resiliency of their services. Mobile retail e-commerce spending in the U.

Best Practices 227

Best Practices DevOps Latency Metrics 227

Dynatrace

SEPTEMBER 8, 2020

Very often, I heard that chaos engineering is only a technique used by larger companies (like Netflix) or in cloud native environments. You should read on if: You want to get an idea what chaos engineering is. You want to know if chaos engineering is only usable in cloud native environments. Figure 1: Sample architecture.

Engineering 142

Engineering Cloud Monitoring Testing 142

Dynatrace

MARCH 8, 2022

At the conference, Dynatrace made several announcements to empower its game-changing community of engineers, developers and security pros. Dynatrace Delivers Most Complete Observability for Multicloud Serverless Architectures. At Dynatrace Perform 2022 in February, the theme was “Empowering the game changers.”.

Code 187

Code Software Software Serverless 187

Dynatrace

FEBRUARY 10, 2023

Grail, the Dynatrace causational data lakehouse with a massively parallel processing analytics engine, unites observability, security, and business data from multicloud and cloud-native environments while retaining the data’s context to deliver precise answers in real time. DevOps metrics and digital experience data are critical to this.

Efficiency 281

Efficiency Performance Analytics DevOps 281

Dynatrace

FEBRUARY 9, 2022

Engineers often choose best-of-breed services from multiple sources to create a single application. AI-powered automation and deep, broad observability for serverless architectures. This enables your DevOps teams to get a holistic overview of their multicloud serverless applications.

Serverless 192

Serverless Azure Lambda AWS 192

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. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 232

AWS Lambda Artificial Intelligence Serverless 232

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 184

Artificial Intelligence DevOps Performance Games 184

Alex Podelko

NOVEMBER 21, 2018

From load testing to DevOps. Load testing is an important part of the performance engineering process. And while we are not fully there yet, the Integration of JMeter in the DevOps tool chain chapter directly dives into what can be done right now. I was honored to write a preface to the great new book Master Apache JMeter.

DevOps 113

DevOps Testing Testing Tools Performance Testing 113

Dynatrace

NOVEMBER 2, 2023

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. This public cloud management discipline provides IT, DevOps , CloudOps, finance, and business teams with continuous cost optimization tools and accurate accounting of cloud resources. That’s where FinOps can help.

Cloud 201

Cloud Strategy Retail Energy 201

Dynatrace

JUNE 26, 2023

Automate DevOps pipelines to create better software faster to free up critical DevOps and IT time for new initiatives and innovation. 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.

Software 192

Software Software Analytics Big Data 192

Dynatrace

APRIL 21, 2022

With a growing number of cloud-native applications built on containers and microservices-based architectures, the number and variety of databases become complex and difficult to manage at scale. In enterprise environments, DevOps and SRE teams struggle to optimize and troubleshoot databases and the applications they support at scale.

Database 243

Database DevOps Analytics Servers 243

Dynatrace

DECEMBER 15, 2022

ITOps vs. DevOps and DevSecOps. ITOps is responsible for all an organization’s IT operations, including the end users’ IT needs, while DevOps is focused on agile continuous integration and delivery (CI/CD) practices and improving workflows. DevOps works in conjunction with IT. ITOps vs. AIOps.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Why deterministic AIOps is essential for DevOps — and beyond. These systems are generating more data than ever, and teams simply can’t keep up with a manual approach.

Artificial Intelligence 179

Artificial Intelligence DevOps Analytics Cloud 179