DZone

MARCH 11, 2021

We can plausibly say the enterprise development market turned the tide on cloud-native development in 2020, as most net-new software and serious overhaul projects started moving toward microservices architectures, with Kubernetes as the preferred platform.

Open Source 311

Open Source Cloud DevOps Architecture 311

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. Cloud-native is the preferred way of delivering applications.

Cloud 179

Cloud DevOps Strategy Monitoring 179

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion.

Cloud 174

Cloud Artificial Intelligence Innovation Analytics 174

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 175

Cloud DevOps Architecture Technology 175

Dynatrace

OCTOBER 23, 2023

This is especially true as organizations rely more on diverse and nimble cloud-native and open source technologies. We believe at Soldo that efficiency is the key value to be very successful in the business we run,” said Luca Domenella, head of cloud operations and DevOps at Soldo.

Design 213

Design Innovation DevOps Open Source 213

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. But IT teams need to embrace IT automation and new data storage models to benefit from modern clouds. As they enlist cloud models, organizations now confront increasing complexity and a data explosion.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

NOVEMBER 11, 2021

Indeed, organizations view IT modernization and cloud computing as intertwined with their business strategy and COVID-19 recovery plans. As a result, reliance on cloud computing for infrastructure and application development has increased during the pandemic era. AWS re:Invent 2021: Modernizing for cloud-native environments.

AWS 209

AWS Cloud Lambda Azure 209

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 258

Cloud Azure Analytics AWS 258

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 216

Google Cloud Serverless Innovation 216

Dynatrace

MAY 5, 2021

Observability should be as cloud-native as Kubernetes itself. Dynatrace Operator for OneAgent, API monitoring, routing, and more. Both Kubernetes monitoring and routing capabilities now use a containerized architecture and are managed by the new Dynatrace Operator. See details further down in this article.

Cloud 221

Cloud Traffic Monitoring Open Source 221

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 225

AWS Lambda Artificial Intelligence Serverless 225

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. However, turning those logs into meaningful insights requires a data lakehouse.

Efficiency 272

Efficiency Performance Analytics DevOps 272

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 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

MARCH 29, 2024

While Kubernetes is often considered the operating system of the cloud, the scale and complexity of Kubernetes cluster deployments are creating new challenges for IT teams. “And as the cost is going down, we’re also monitoring to see what’s happening to application performance.”

Engineering 222

Engineering DevOps Operating System Open Source 222

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. Applications and microservices monitoring.

Software 184

Software Software Analytics Big Data 184

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 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

AUGUST 29, 2022

Release validation is a critical DevOps practice to help ensure that code released into production is successful. DevOps practices have become key for organizations looking to scale, stay competitive, and keep up with customer demand. Monitor post-release validation: Validation monitoring is not yet finished, even after fixes.

DevOps 205

DevOps Benchmarking Cloud Monitoring 205

Dynatrace

NOVEMBER 9, 2023

However, managing Kubernetes optimally can be a daunting task due to its complex architecture. Properly monitoring a Kubernetes cluster or any related environment can be difficult. Service-level objectives (SLOs) are often used to monitor business-critical services and applications for customers.

Efficiency 270

Efficiency Monitoring Best Practices Open Source 270

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 159

DevOps Traffic Website Infrastructure 159

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 219

Best Practices DevOps Latency Metrics 219

Dynatrace

NOVEMBER 9, 2021

2021 Gartner Peer Insights Voice of the Customer: Application Performance Monitoring. The driver for APM to Observability is the complexity cloud environments bring to organizations. The cloud is where Enterprise organizations are transforming, and dynamic multi-clouds are the platform of choice. APM to Observability.

DevOps 214

DevOps Innovation Cloud Programming 214

Dynatrace

APRIL 21, 2023

Kailey Smith, application architect on the DevOps team for Minnesota IT Services (MNIT), discussed her experience with an outage that left her and her peers to play defense and fight fires. It helps our DevOps team respond and resolve systems’ problems faster,” Smith said. Dynatrace truly helps us do more with less.

Innovation 179

Innovation Speed Artificial Intelligence Government 179

Dynatrace

JUNE 13, 2022

As organizations transition to the cloud and adopt DevSecOps practices, they can move more quickly and flexibly. They can develop software applications rapidly and gain access to extensible cloud resources without having to sink costs into IT plumbing or managing this infrastructure themselves. Dynatrace news.

Open Source 218

Open Source DevOps Java Innovation 218

Dynatrace

APRIL 21, 2022

Dynatrace Application Performance Management (APM) has long provided multiple options for database monitoring, including deep insights into code and statements, service level visibility, connection pool monitoring, and more. The new Dynatrace database monitoring extensions are ready to use out-of-the-box. SAP HanaDB.

Database 239

Database DevOps Analytics Servers 239

Dynatrace

OCTOBER 16, 2023

While customers use observability platforms to identify issues in cloud environments, the next chapter of value is removing manual work from processes and building IT automation into their organizations. They can be proactive in identifying issues in cloud environments. “It With Grail, for example, a DevOps team can pre-scan logs.

Innovation 193

Innovation DevOps Cloud Efficiency 193

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. A successful cloud migration starts with understanding which applications and workloads should move to the cloud and in what order.

Government 200

Government Infrastructure Programming Cloud 200

Dynatrace

AUGUST 5, 2022

It helps organizations keep up with the high velocity of software releases and the complexity of multi-cloud environments. Building on DevOps culture and practices, it integrates security into every step of the software development lifecycle (SDLC). DevSecOps automation and the importance of observability.

DevOps 203

DevOps Cloud Best Practices Open Source 203

Dynatrace

FEBRUARY 4, 2021

” As more organizations expand services via the cloud and demand for digital services increases, SRE practices are essential to meet up-time service level agreements, and to meet the continuous-integration/continuous-delivery (CI/CD) demands of DevOps and DevSecOps teams. SRE bridges the gap between Dev and Ops teams.

Engineering 252

Engineering DevOps Government Latency 252

Dynatrace

NOVEMBER 28, 2022

Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies. The Dynatrace Software Intelligence Platform accelerates cloud operations, helping users achieve service-level objectives (SLOs) with automated intelligence and unmatched scalability.

Lambda 221

Lambda AWS Serverless Latency 221

Dynatrace

OCTOBER 14, 2020

Dynatrace enables our customers to monitor and optimize their cloud infrastructure and applications through the Dynatrace Software Intelligence Platform. For that reason, we started a simple load-test scenario where we flooded our event-based system with 100 cloud-events per minute. Dynatrace news.

Cloud 225

Cloud Development Open Source Monitoring 225

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. This includes automatically discovering all cloud services, mapping all application and infrastructure dependencies, and continuously learning from them. Think’ with artificial intelligence.

Artificial Intelligence 177

Artificial Intelligence Automotive DevOps Infrastructure 177

Dynatrace

OCTOBER 14, 2022

As more organizations are moving from monolithic architectures to cloud architectures, the complexity continues to increase. Why machine learning falls short in cloud-native environments. However, ML-enabled AIOps tools tend to fall short in cloud-native environments. Machine learning lags in dynamic environments.

Artificial Intelligence 172

Artificial Intelligence DevOps Analytics Cloud 172

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. Monitor and measure progress during the migration.

Strategy 223

Strategy Benchmarking Serverless Infrastructure 223

Dynatrace

AUGUST 16, 2021

Many software delivery teams share the same pain points as they’re asked to support cloud adoption and modernization initiatives. These problems are the drivers behind Dynatrace’s solution offering called Cloud Automation and this two-part blog series shows how to tackle these problems using GitHub Actions. awareness ?

Software 246

Software Software Open Source Azure 246

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. The Cloud Native Computing Foundation defines a Golden Path as a “templated composition of well-integrated code and capabilities for rapid project development.”

Government 190

Government Best Practices DevOps Engineering 190

Dynatrace

JULY 6, 2022

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. Monitoring and logging are fundamental building blocks of observability.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

Dynatrace

SEPTEMBER 20, 2022

A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. DevSecOps practices build on DevOps, ensuring that security concerns are top of mind as developers build code. The education of employees about security awareness.

Best Practices 258

Best Practices DevOps Education Serverless 258