Dynatrace

NOVEMBER 29, 2022

Infrastructure as code is a way to automate infrastructure provisioning and management. And it’s a crucial step toward achieving cloud automation on the path to NoOps. In this blog, I explore how Dynatrace has made cloud automation attainable—and repeatable—at scale by embracing the principles of infrastructure as code.

Infrastructure 172

Infrastructure Code Cloud DevOps 172

Dynatrace

JUNE 2, 2022

Site reliability engineering (SRE) continues to gain popularity as organizations embrace hybrid cloud strategies and IT automation at scale. By applying software engineering principles to operations and infrastructure practices, SRE enables organizations to streamline and automate IT processes. Dynatrace news.

DevOps 147

DevOps Innovation Engineering Benchmarking 147

Dynatrace

SEPTEMBER 22, 2022

DevOps automation can help to drive reliability across the SDLC and accelerate time-to-market for software applications and new releases. What is DevOps automation? DevOps automation is a set of tools and technologies that perform routine, repeatable tasks that engineers would otherwise do manually.

DevOps 188

DevOps Innovation Speed Monitoring 188

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. Forbes estimates that cloud budgets will break all previous records as businesses will spend over $1 trillion on cloud computing infrastructure in 2024.

Availability 276

Availability DevOps Infrastructure Scalability 276

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. Organizations can’t manage their cloud environments effectively with these traditional approaches.

DevOps 232

DevOps Infrastructure Software Software 232

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 225

Engineering Entertainment Cloud Infrastructure 225

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 254

Engineering DevOps Government Latency 254

Dynatrace

NOVEMBER 9, 2022

Today’s organizations know they need cloud environments to stay competitive. . Indeed, according to some research, more than 90% of organizations now use cloud computing. cloud-native platforms will be the foundation ?for But many companies’ IT infrastructure doesn’t start out in the cloud.

AWS 130

AWS Cloud Serverless DevOps 130

Dynatrace

NOVEMBER 2, 2023

Spiraling cloud architecture and application costs have driven the need for new approaches to cloud spend. Nearly half (49%) of organizations believe their cloud bill is too high , according to a CloudZero survey. million on cloud computing , while large enterprises shell out upward of $12 million annually.

Cloud 195

Cloud Strategy Retail Energy 195

Dynatrace

DECEMBER 21, 2022

As the process of cloud modernization becomes ever more complex, there is an even greater need to embrace the emerging role of cloud architect to accelerate transformation. What is cloud modernization? . But what is cloud modernization? . Each persona holds respective qualities for cloud modernization.

Cloud 147

Cloud Architecture Strategy Scalability 147

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. DevOps teams must constantly adapt by using agile methodologies and rapid delivery models, such as CI/CD.

Engineering 176

Engineering DevOps Government Latency 176

Dynatrace

OCTOBER 13, 2021

Protecting IT infrastructure, applications, and data requires that you understand security weaknesses attackers can exploit. Cloud infrastructure analysis ensures the secure configuration of cloud infrastructure including virtual machines, containers, cloud-hosted databases, and serverless services.

Infrastructure 170

Infrastructure Open Source Virtualization Operating System 170

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

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 213

DevOps Speed Efficiency Engineering 213

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments. Enter causal AI.

Performance 186

Performance DevOps Innovation Artificial Intelligence 186

Dynatrace

NOVEMBER 10, 2020

As a leader in cloud infrastructure and platform services , the Google Cloud Platform is fast becoming an integral part of many enterprises’ cloud strategies. Simplified cloud complexity with fully automated observability of Google Cloud. Dynatrace news.

Google 220

Google Cloud Serverless Innovation 220

Dynatrace

MAY 3, 2022

Cloud observability is fast becoming an imperative as more organizations adopt multicloud IT strategies. To adapt, many are turning to AIOps and other automation technologies to solve the complex issues that accompany cloud-native architecture. Multicloud complexity obscures cloud observability. Dynatrace news.

Cloud 178

Cloud DevOps Architecture Technology 178

Dynatrace

FEBRUARY 6, 2020

Autonomous Cloud is not another lofty marketing term. Autonomous Cloud is what enables our globally distributed development teams at Dynatrace to deliver better software faster following our NoOps approach: Fully Autonomous and as a Self-Service! Three waves of DevOps leading to Autonomous Cloud. Dynatrace news.

Cloud 184

Cloud DevOps Engineering Speed 184

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

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 223

Best Practices DevOps Latency Metrics 223

Dynatrace

FEBRUARY 17, 2022

Principal engineer at Google and co-founder of KubeCon, Hightower advocates simplicity and automation. These are two values he shares with DevOps activist Andreas Grabner, who sat down with Hightower at Dynatrace Perform 2022 to talk about taming Kubernetes and the future of cloud-native technologies.

Technology 210

Technology Technology Cloud Infrastructure 210

Dynatrace

FEBRUARY 8, 2021

Leveraging cloud-native technologies like Kubernetes or Red Hat OpenShift in multicloud ecosystems across Amazon Web Services (AWS) , Microsoft Azure, and Google Cloud Platform (GCP) for faster digital transformation introduces a whole host of challenges. Dynatrace news. Connecting data siloes requires daunting integration endeavors.

Cloud 259

Cloud Azure Analytics AWS 259

Percona

DECEMBER 27, 2023

The evolution of cloud-native technology has been nothing short of revolutionary. As we step into 2024, the cornerstone of cloud-native technology, Kubernetes, will turn ten years old. Keynotes were focused on how Kubernetes and Cloud Native help businesses embrace the new AI era. We expect that number to rise higher in 2024.

Cloud 83

Cloud Open Source Strategy Best Practices 83

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 193

Government Best Practices DevOps Engineering 193

Dynatrace

MAY 5, 2021

OneAgent technology simplifies deployment across large enterprises and relieves engineers of the burden of instrumenting their applications by hand. Observability should be as cloud-native as Kubernetes itself. Only Dynatrace provides this level of of infrastructure and application observability in one comprehensive solution.

Cloud 224

Cloud Traffic Monitoring Open Source 224

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 modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

FEBRUARY 15, 2023

Cloud environments have become ever more complex, with an increasingly interconnected set of services. To tame this complexity and deliver differentiated digital experiences, IT, development, security, and business teams need automated workflows throughout these cloud ecosystems.

Code 211

Code DevOps Cloud Analytics 211

Dynatrace

SEPTEMBER 30, 2019

Cloud platforms are somewhat a staple component to enterprises’ IT environments today, helping to achieve objectives and drive better business operations, but more often than not we don’t see the outcomes or rewards reaped from the use of such platforms. Dynatrace news. Red Hat OpenShift has demonstrated this in the last year.

DevOps 160

DevOps Traffic Website Infrastructure 160

Dynatrace

NOVEMBER 6, 2023

Cloud complexity and data proliferation are two of the most significant challenges that IT teams are facing today. Modern cloud complexity is becoming nearly impossible for human beings to manage without AI and automation. Why is developer observability important for engineers? The DevOps people looking end-to-end.

Development 262

Development DevOps Programming Cloud 262

Dynatrace

JUNE 26, 2023

Software automation is the practice of creating software applications to reduce or eliminate human intervention in repetitive, time-consuming IT tasks and cloud operations. It provides valuable insight into complex public, private, and hybrid cloud IT structures, systems, and frameworks. Cloud automation.

Software 187

Software Software Analytics Big Data 187

Dynatrace

FEBRUARY 10, 2023

Increasingly, organizations are turning to modern observability platforms to address the complexity of, and gain visibility into, cloud environments. Further, automation has become a core strategy as organizations migrate to and operate in the cloud. What is a data lakehouse? Learn more.

Efficiency 276

Efficiency Performance Analytics DevOps 276

Dynatrace

NOVEMBER 28, 2022

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

Lambda 225

Lambda AWS Serverless Latency 225

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. Chaos engineering. Observability. Auto-remediation. Continuous validation.

Software 195

Software Software Artificial Intelligence DevOps 195

Dynatrace

FEBRUARY 28, 2024

Doing so reduces the risk of production disruptions and instills confidence in both SREs (Site Reliability Engineers) and end-users. The burgeoning reliance on cloud technology stacks amplifies this challenge, creating hurdles due to budgetary constraints, time limitations, and the potential risk of human errors.

DevOps 203

DevOps Metrics Engineering Analytics 203

Dynatrace

MARCH 2, 2023

Google Cloud Distinguished Engineer Kelsey Hightower hopes to solve the many problems facing IT culture by equipping people with the mental and computational software they need to succeed in the competitive world of technology. Kubernetes is] literally giving infrastructure types,” Hightower explained.

Best Practices 215

Best Practices Internet Internet Cloud 215

Dynatrace

JULY 7, 2022

But as IT teams increasingly design and manage cloud-native technologies, the tasks IT pros need to accomplish are equally variable and complex. The framework forms the basis of the SAE (Society of Automotive Engineers) automation levels 1 through 5 for cars. The sense-think-act model for AIOps and observability. Act’ with AIOps.

Artificial Intelligence 180

Artificial Intelligence Automotive DevOps Infrastructure 180

Dynatrace

JULY 29, 2022

Log analytics is useful for application performance monitoring in cloud, virtualized, and physical environments, including Kubernetes workloads, application security, and business analytics. As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics.

Analytics 214

Analytics Storage Retail Monitoring 214