Dynatrace

OCTOBER 11, 2021

In recent years, function-as-a-service (FaaS) platforms such as Google Cloud Functions (GCF) have gained popularity as an easy way to run code in a highly available, fault-tolerant serverless environment. What is Google Cloud Functions? Google Cloud Functions is a serverless compute service for creating and launching microservices.

Google 218

Google Cloud Serverless Azure 218

Dynatrace

DECEMBER 8, 2021

As cloud environments become increasingly complex, legacy solutions can’t keep up with modern demands. As a result, companies run into the cloud complexity wall – also known as the cloud observability wall – as they struggle to manage modern applications and gain multicloud observability with outdated tools.

Cloud 223

Cloud Serverless Hardware Operating System 223

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. Manual troubleshooting is painful, hurts the business, and slows down innovation.

Cloud 258

Cloud Azure Analytics AWS 258

Dynatrace

MAY 9, 2022

For IT teams seeking agility, cost savings, and a faster on-ramp to innovation, a cloud migration strategy is critical. Cloud migration enables IT teams to enlist public cloud infrastructure so an organization can innovate without getting bogged down in managing all aspects of IT infrastructure as it scales.

Strategy 195

Strategy Cloud Infrastructure Metrics 195

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

APRIL 15, 2022

As organizations expand their cloud footprints, they are combining public, private, and on-premises infrastructures. But modern cloud infrastructure is large, complex, and dynamic — and over time, this cloud complexity can impede innovation. VA’s journey into the cloud.

Cloud 174

Cloud Infrastructure Innovation Monitoring 174

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. Today, it’s great to think back to those times when reading through my old blog posts such as the “ Mid-Tour Backstage Report ” – thanks to every individual who attended! Hands-on 1: Your first quality gate.

Cloud 213

Cloud DevOps Azure Virtualization 213

Dynatrace

NOVEMBER 20, 2023

In this AWS re:Invent 2023 guide, we explore the role of generative AI in the issues organizations face as they move to the cloud: IT automation, cloud migration and digital transformation, application security, and more. In general, generative AI can empower AWS users to further accelerate and optimize their cloud journeys.

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

Dynatrace

JULY 13, 2021

While increased frequency of release cycles does allow for faster delivery of innovation to the market, it requires automation and a high level of reliability to avoid introducing risks into production systems. Now we’re happy to announce the release of Cloud Automation quality gates. How the evaluation works. What’s next.

Cloud 239

Cloud DevOps Benchmarking Speed 239

Dynatrace

FEBRUARY 2, 2022

Dynatrace SaaS availability on Azure helps the world’s largest organizations achieve this through enabling faster cloud adoption and more effective digital transformation. This enables organizations to tame cloud complexity, minimize risk, and reduce manual effort so teams can focus on driving innovation.

Azure 319

Azure Availability Hardware Innovation 319

Dynatrace

SEPTEMBER 28, 2020

I am excited to announce that ISG analysts positioned Dynatrace highest for portfolio attractiveness and competitive strength in the Cloud-Native Observability Solutions Quadrant. . Dynatrace’s deep understanding of enterprises’ cloud-native needs stand s out .

Cloud 243

Cloud Serverless Innovation Architecture 243

Dynatrace

APRIL 22, 2022

As more organizations invest in a multicloud strategy, improving cloud operations and observability for increased resilience becomes critical to keep up with the accelerating pace of digital transformation. American Family turned to observability for cloud operations. Step 1: Automate AWS metrics ingestion with Dynatrace.

Cloud 166

Cloud Lambda Serverless AWS 166

Dynatrace

MARCH 18, 2024

In fact, according to technology intelligence analyst firm HG Insights , OpenTelemetry is the Cloud Native Computing Foundation’s second most active project after Kubernetes and is used by more than 1,600 organizations worldwide, with customer adoption growing at a compound annual growth rate of 59%. Innovation from the open source community.

Scalability 259

Scalability Open Source Analytics Innovation 259

Tasktop

FEBRUARY 9, 2021

However, they treat continuous improvement and digital innovation like interest, recognizing that it’s a compounding game. However, if you accelerate your software delivery via these investments, even in small increments, those benefits compound over time and lead to the large chasm between innovative companies and others (Chart 2b).

Innovation 98

Innovation Cloud Government Efficiency 98

Dynatrace

OCTOBER 15, 2021

Loosely defined, observability is the ability to understand what’s happening inside a system from the knowledge of the external data it produces, which are usually logs, metrics, and traces. Logs, metrics, and traces make up the bulk of all telemetry data. Monitoring begins here. Span ingestion.

Open Source 216

Open Source Metrics Cloud Transportation 216

Dynatrace

APRIL 8, 2021

To gain greater agility, Porsche Informatik migrated to a containerized, hybrid cloud environment. But this approach introduced new complexity and a need for more advanced cloud monitoring capabilities. At Perform 2021, we were joined by Peter Friedwagner, Head of Infrastructure and Cloud Services at Porsche Informatik.

Cloud 224

Cloud Monitoring Automotive Infrastructure 224

Dynatrace

JUNE 16, 2020

Over the years however, classic mainframe environments have been transformed, with their services frequently linked to distributed systems or an enterprise cloud. Easily achieve a cost-effective IBM Z configuration by monitoring relevant infrastructure metrics. This metric helps you to understand your current workload.

Innovation 151

Innovation Metrics Infrastructure Programming 151

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. Discover the benefits of a data lakehouse, how it works, and more.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. What is hybrid cloud architecture?

Infrastructure 179

Infrastructure Cloud Azure AWS 179

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. Dynatrace news.

Cloud 179

Cloud DevOps Strategy Monitoring 179

Dynatrace

JANUARY 18, 2023

As organizations accelerate innovation to keep pace with digital transformation, DevOps observability is becoming a critical key to success for DevOps and DevSecOps teams. This drive for speed has a cost: 22% of leaders admit they’re under so much pressure to innovate faster that they must sacrifice code quality. – blog.

DevOps 194

DevOps Best Practices Innovation Strategy 194

Dynatrace

JULY 9, 2020

Autonomous Cloud Enablement (ACE) and Keptn – the Event-Driven Autonomous Cloud Control Plane – are helping our Dynatrace customers to automate their delivery and operations processes. There’s more from Christian and the rest of the Keptn and Autonomous Cloud community that we can all benefit from. Dynatrace news.

Cloud 185

Cloud DevOps Azure Architecture 185

Dynatrace

APRIL 20, 2022

In October 2021, Dynatrace announced the availability of the Dynatrace Software Intelligence Platform on Google Cloud as a software as a service (SaaS) solution. Dynatrace and Google Cloud play a critical role in helping customers accelerate their digital transformation initiatives. Instance-level visibility for GCP services.

Google 239

Google Availability Cloud Infrastructure 239

Dynatrace

APRIL 8, 2021

To gain greater agility, Porsche Informatik migrated to a containerized, hybrid cloud environment. But this approach introduced new complexity and a need for more advanced cloud monitoring capabilities. At Perform 2021, we were joined by Peter Friedwagner, Head of Infrastructure and Cloud Services at Porsche Informatik.

Cloud 154

Cloud Monitoring Automotive Infrastructure 154

Dynatrace

MARCH 10, 2021

This is exciting because we are seeing AI and ML-driven applications maturing rapidly as a way of mastering performance in hybrid, hyper-scale cloud environments. Conventional (not built for cloud) monitoring tools are not much help. And then add in that modern enterprise cloud environments are dynamic and constantly changing.

AWS 143

AWS Cloud Artificial Intelligence Innovation 143

Dynatrace

JUNE 8, 2022

Azure provides a wide variety of cloud services with globally distributed applications. Running containers in the cloud is also a very popular use case for Azure. These challenges make Azure observability critical for building and monitoring cloud-native applications. Observability in the cloud can be hard to achieve.

Azure 180

Azure Performance Infrastructure Cloud 180

Dynatrace

FEBRUARY 28, 2024

In the previous blog post of this series , we discussed the crucial role of Dynatrace as an orchestrator that steps in to stop the testing phase in case of any errors. In this blog post of the series, we will explore the use of Site Reliability Guardian (SRG) in more detail.

DevOps 200

DevOps Metrics Engineering Analytics 200

Dynatrace

APRIL 6, 2022

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. Dynatrace news.

DevOps 228

DevOps Innovation Infrastructure Analytics 228

Dynatrace

MARCH 27, 2024

Today’s applications are cloud-native, microservices-based, and extend across both the cloud and on-premises servers. In complex, distributed cloud-native environments, observability is powerful, as it shows teams exactly when problems occur and how to proactively solve them.

Government 157

Government Network Artificial Intelligence Cloud 157

Dynatrace

MAY 17, 2022

Dynatrace Cloud Native Full Stack injection for Kubernetes, now officially released, provides unparalleled flexibility and scale for onboarding teams to AI-powered observability. From a cost perspective, internal customers waste valuable time sending tickets to operations teams asking for metrics, logs, and traces to be enabled.

Availability 313

Availability Scalability Cloud Metrics 313

Dynatrace

NOVEMBER 9, 2021

The theme for the event focused on ‘APM to Observability’, which we’ll recap shortly within this blog. 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.

DevOps 214

DevOps Innovation Cloud Programming 214

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.

Open Source 218

Open Source DevOps Java Innovation 218

Dynatrace

DECEMBER 2, 2020

In its report “ Innovation Insight for Observability ,” global research and advisory firm Gartner describes the advantages of observability for cloud monitoring as organizations navigate this shift. Observability defined. Where traditional monitoring falls flat. Then teams can leverage and interpret the observable data.

DevOps 150

DevOps Monitoring Cloud Artificial Intelligence 150

Dynatrace

JANUARY 31, 2024

This blog post explores how AI observability enables organizations to predict and control costs, performance, and data reliability. Many organizations face significant challenges in pursuing their cloud migration initiatives, which often accompany or precede AI initiatives. Service reliability.

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. This metric indicates how quickly software can be released to production. Dynatrace news.

Monitoring 197

Monitoring Software Software DevOps 197

Tasktop

FEBRUARY 9, 2021

However, they treat continuous improvement and digital innovation like interest, recognizing that it’s a compounding game. However, if you accelerate your software delivery via these investments, even in small increments, those benefits compound over time and lead to the large chasm between innovative companies and others (Chart 2b).

Innovation 52

Innovation Cloud Government Efficiency 52

Dynatrace

JUNE 11, 2019

Welcome back to the blog series in which we summarize the findings of our Autonomous Cloud Management Survey. The post ACM Survey, Part 2: How your peers use production monitoring data to innovate faster appeared first on Dynatrace blog. Dynatrace news. Team members can: Be more agile. Automate processes.

Innovation 190

Innovation Monitoring Metrics Strategy 190