Tasktop

JANUARY 5, 2022

Flow Metrics are a major pillar of how we measure improvement in value streams. . As organizations begin to adopt Flow Metrics , our natural tendencies emerge to massage the newfound visibility to make the metrics “look good”. Flow Metrics anti-pattern: Excluding part of the value stream. Chop up the value stream.

Metrics 98

Metrics Speed Analytics Azure 98

Dynatrace

JULY 30, 2021

Back in 2018, we taught those DevOps concepts and implemented unbreakable pipelines for cloud-native delivery projects. For easy access to all configuration files relevant for Dynatrace Cloud Automation, we start by setting an upstream git to our own GitHub, GitLab, Bitbucket, Azure DevOps, or any other git compliant version control system.

Cloud 214

Cloud DevOps Azure Virtualization 214

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. They are required to understand the full story of what happened in a system.

Cloud 262

Cloud Azure Analytics AWS 262

Dynatrace

JULY 7, 2022

A microservices approach enables DevOps teams to develop an application as a suite of small services. Monolithic software systems employ one large codebase, which includes collections of tools, software development kits, and associated development dependencies. But nothing is perfect — and microservices is no exception.

Architecture 209

Architecture Serverless Azure Programming 209

Dynatrace

MAY 19, 2022

Every organization’s goal is to keep its systems available and resilient to support business demands. A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). The metrics behind the four signals vary by row. Dynatrace news. A world of misunderstandings.

Automotive 277

Automotive Latency Architecture Azure 277

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Accordingly, monolithic software systems employ one large codebase (or repository), which includes collections of tools, SDKs, and associated development dependencies. Limited observability.

Architecture 246

Architecture Software Software Development 246

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. Accordingly, monolithic software systems employ one large codebase (or repository), which includes collections of tools, SDKs, and associated development dependencies. Limited observability.

Architecture 246

Architecture Software Software Development 246

Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. Our Application Performance Management (APM) and load test team at T-Systems MMS helps our customers reduce the risk of failed releases. It automatically sends JMeter metrics to the Dynatrace cluster via the Metrics Ingest API.

Testing 226

Testing Open Source Metrics Infrastructure 226

Dynatrace

JULY 16, 2021

The Dynatrace Software Intelligence Platform already comes with release analysis, version awareness , and Service Level Objective (SLO) support as part of the Dynatrace Cloud Automation solution , helping DevOps and SRE teams automate the delivery and operational decisions. GitOps: Cloud automation as code. Expand to more use cases.

DevOps 246

DevOps Open Source Cloud Azure 246

Dynatrace

OCTOBER 11, 2021

In a time when modern microservices are easier to deploy, GCF, like its counterparts AWS Lambda and Microsoft Azure Functions , gives development teams an agility boost for delivering value to their customers quickly with low overhead costs. What is Google Cloud Functions? GCF is part of the Google Cloud Platform.

Google 229

Google Cloud Serverless Azure 229

Dynatrace

JUNE 29, 2022

Accordingly, these platforms provide a unified, consistent DevOps and IT experience. Five available hybrid cloud platforms from the top public cloud providers include the following: Azure Stack : Consumers can access different Azure cloud services from their own data center and build applications for Azure cloud.

Infrastructure 190

Infrastructure Cloud Azure AWS 190

Dynatrace

SEPTEMBER 13, 2023

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks?

AWS 256

AWS Efficiency Azure Cloud 256

Dynatrace

NOVEMBER 29, 2021

It offers automated installation, upgrades, and life cycle management throughout the container stack — the operating system, Kubernetes and cluster services, and applications — on any cloud. OpenShift, DevOps, and CI/CD. Red Hat OpenShift is a cloud-based Kubernetes platform that helps developers build applications. OpenShift 3.0

Monitoring 147

Monitoring DevOps Infrastructure Metrics 147

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

Dynatrace

SEPTEMBER 29, 2021

Think of containers as the packaging for microservices that separate the content from its environment – the underlying operating system and infrastructure. The time and effort saved with testing and deployment are a game-changer for DevOps. In production, containers are easy to replicate. Observability.

Open Source 310

Open Source Traffic DevOps Cloud 310

Dynatrace

NOVEMBER 22, 2021

Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. Not just logs, metrics and traces. Its approach to serverless computing has transformed DevOps. DevOps/DevSecOps with AWS. What is observability?

AWS 235

AWS Lambda Artificial Intelligence Serverless 235

Dynatrace

JANUARY 26, 2021

Traditional computing models rely on virtual or physical machines, where each instance includes a complete operating system, CPU cycles, and memory. VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines.

Serverless 245

Serverless Efficiency Lambda Azure 245

Dynatrace

JULY 12, 2022

After moving to Microsoft Azure for many of its production-stage applications, Park ‘N Fly’s IT teams experienced blind spots. “We Several team members had to pore through logs, metrics, and other data to identify issues. “We To me, AIOps is like having your DevOps people in more automated fashion,” Schirrmacher says.

Innovation 227

Innovation Infrastructure DevOps Azure 227

Dynatrace

FEBRUARY 10, 2021

Software companies who have already been following and adopting DevOps and site reliability engineering (SRE) practices alongside their shared ancestry in agile concepts came out on top – especially if they adopted those practices across the whole organization and customer value stream.

Cloud 174

Cloud DevOps Speed Azure 174

Dynatrace

NOVEMBER 10, 2022

Cloud-native architecture is a structural approach to planning and implementing an environment for software development and deployment that uses resources and processes common with public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Declarative APIs. The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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.

Cloud 195

Cloud DevOps Azure Architecture 195

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. Integrating Existing Systems When selecting a tool for integrating a hybrid cloud, evaluating several key aspects is important. The tool must be compatible with your current systems.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

NOVEMBER 20, 2023

Why this deterministic AI approach is critical to business success – blog Today’s organizations need to go beyond a traditional, correlation-driven approach to identify the underlying causes and effects of an event or behavior and drive better DevOps automation. Enter causal AI.

AWS 217

AWS Artificial Intelligence Analytics Cloud 217

Dynatrace

MAY 31, 2021

Although Kubernetes simplifies application development while increasing resource utilization, it is a complex system that presents its own challenges. In particular, achieving observability across all containers controlled by Kubernetes can be laborious for even the most experienced DevOps teams. But what is Kubernetes exactly?

Virtualization 134

Virtualization DevOps Infrastructure Cloud 134

Dynatrace

APRIL 30, 2019

At Neotys PAC 2019 in Chamonix, France, I presented approaches on how to solve this problem by looking at examples from companies such as Intuit, Dynatrace, Google, Netflix, T-Systems and others. Introducing Pitometer: Metrics-based Deployment Validation in your CI/CD. Bamboo, Azure DevOps, AWS CodePipeline ….

Architecture 126

Architecture Open Source Azure Metrics 126

Dotcom-Montior

OCTOBER 19, 2021

Docker, as well as other containerization solutions, makes it possible to package and run applications in a variety of environments, without having to consider factors like operating system or other specific system configurations. The key difference between Nomad and Kubernetes is that Nomad is designed for the Unix operations system.

Engineering 86

Engineering Open Source Programming Monitoring 86

Tasktop

MARCH 16, 2021

Which got me thinking, what if we could send our own DIY kit for our Flow Metrics tool— Tasktop Viz —to our Fortune 500 customers across major industries such as automotive, manufacturing, healthcare and finance? . Typically, you will require a: Product Manager: Manages the build and maintenance of the value stream metrics product.

Metrics 52

Metrics Healthcare Automotive Innovation 52

Tasktop

APRIL 29, 2020

While DevOps applies lean manufacturing principles—through automating repeatable output to improve the deployment lead time from code commit to production—the work upstream is an entirely different ball game. These lines of collaboration need to provide flow, feedback and traceability”. Multiple Tools for the Work. One Stack to Rule Them All?

DevOps 69

DevOps Azure Network Efficiency 69

Dotcom-Montior

FEBRUARY 19, 2022

Docker, as well as other containerization solutions, makes it possible to package and run applications in a variety of environments, without having to consider factors like operating system or other specific system configurations. The key difference between Nomad and Kubernetes is that Nomad is designed for the Unix operations system.

Engineering 52

Engineering Open Source Programming Monitoring 52

Tasktop

MARCH 16, 2021

Which got me thinking, what if we could send our own DIY kit for our Flow Metrics tool— Tasktop Viz —to our Fortune 500 customers across major industries such as automotive, manufacturing, healthcare and finance? . Typically, you will require a: Product Manager: Manages the build and maintenance of the value stream metrics product.

Metrics 40

Metrics Healthcare Automotive Innovation 40

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Dynatrace news. Performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

SEPTEMBER 17, 2019

Robert allowed me to take a couple of screenshots from their Dynatrace environment and with that, in this blog I try to explain how Dynatrace gives them MaaSS for Developers, Operators, DevOps as well as Business. Having Dynatrace also looking at key EFS metrics gives them additional root cause information in case something goes wrong.

AWS 128

AWS Monitoring Ecommerce Lambda 128

Tasktop

FEBRUARY 26, 2020

If you’re part of the support desk team or a developer, you have surely experienced the frustration of wasting too much time duplicating information from ServiceNow tickets into other tools where developers actually do the work, like Jira, Azure DevOps, Rally and VersionOne. .

Efficiency 52

Efficiency Software Software Azure 52

Tasktop

JANUARY 9, 2020

Even better, we can glean valuable end-to-end system data that can be used for higher-level business-centric Flow Metrics , empowering you to generate more business value through your software delivery. . Because data is stored in tools in different formats, cross-tool metrics require data normalization to make sense of it all.

Software 59

Software Software Metrics Database 59

High Scalability

NOVEMBER 25, 2019

He and his colleagues spend their productive hours scaling large distributed file systems. Our only option was to roll up our sleeves and build basic cloud file system components such as object store ourselves. Java used to power core file system code. What is the name of your system and where can we find out more about it?

Architecture 52

Architecture Cache Azure Storage 52

Tasktop

OCTOBER 30, 2019

We’re delighted to announce a limited release to a community near and dear to us at the DevOps Enterprise Summit – learn more from our CEO and founder, Dr. Mik Kersten. . ” Product-thinking and secure delivery – DevOps Enterprise Summit 2019 – Day One Recap . Day two recap. Photo credit: @DOES_USA.

DevOps 8

DevOps Education Innovation Metrics 8