Dynatrace

JANUARY 5, 2022

This guest blog is authored by Raphael Pionke , DevOps Engineer at T-Systems MMS. Credits on content go to him and the work he has been doing around performance & resiliency testing automation. Our Application Performance Management (APM) and load test team at T-Systems MMS helps our customers reduce the risk of failed releases.

Testing 246

Testing Open Source Metrics Infrastructure 246

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. Ready to create your first release validation automation?

DevOps 246

DevOps Open Source Cloud Azure 246

Dynatrace

MARCH 6, 2024

As organizations look to expand DevOps maturity, improve operational efficiency, and increase developer velocity, they are embracing platform engineering as a key driver. The pair showed how to track factors including developer velocity, platform adoption, DevOps research and assessment metrics, security, and operational costs.

Engineering 264

Engineering Development DevOps Infrastructure 264

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 261

Cloud DevOps Azure Architecture 261

Dynatrace

AUGUST 16, 2021

Part 1 of this series starts will cover the key ingredients needed for successful DevOps use to deliver better software faster, followed by a short overview of GitHub Actions and example use cases related to deployment and release monitoring. Key ingredients required to deliver better software faster. Annotation. Configuration. Information.

Software 246

Software Software Open Source Azure 246

Dynatrace

JULY 25, 2024

Protect customers with software development lifecycle integrations Software testing is critical, yet issues can still make it into production that negatively impact the customer experience. It supports A/B testing, canary releases, and quick rollbacks, ensuring smoother transitions and more controlled feature releases.

Strategy 276

Strategy Azure Monitoring DevOps 276

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. These teams generally use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. Test early and often using multiple methods.

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. These teams generally use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code. Test early and often using multiple methods.

Architecture 246

Architecture Software Software Development 246

Dynatrace

NOVEMBER 15, 2021

Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes. DevOps teams often use a log monitoring solution to ingest application, service, and system logs so they can detect issues at any phase of the software delivery life cycle (SDLC).

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

SEPTEMBER 29, 2021

The time and effort saved with testing and deployment are a game-changer for DevOps. Rather than individually managing each container in a cluster, a DevOps team can instead tell Kubernetes how to allocate the necessary resources in advance. In production, containers are easy to replicate.

Open Source 334

Open Source DevOps Traffic Cloud 334

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

Scalegrid

OCTOBER 31, 2019

In these blogs, we dove deep into how the frameworks work, their setup requirements, pros and cons, and how they performed in standby server tests, primary server tests and network isolation tests (split brain scenario) to help you determine the best framework to improve the uptime for your PostgreSQL-powered applications.

Availability 187

Availability Azure AWS DevOps 187

Dynatrace

JANUARY 13, 2021

Configuring monitoring and observability is no stranger to that paradigm and it was also highlighted in the latest State of DevOps 2020 report. We might have a synthetic test template for a particular application which needs to be deployed in dev, staging and production. Referencing other configurations by name. Identifiers are great!

Open Source 211

Open Source Code Monitoring Azure 211

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. Automated release inventory and version comparison.

Cloud 242

Cloud DevOps Speed Metrics 242

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 246

Google Cloud Serverless Azure 246

O'Reilly

OCTOBER 19, 2021

While there isn’t an authoritative definition for the term, it shares its ethos with its predecessor, the DevOps movement in software engineering: by adopting well-defined processes, modern tooling, and automated workflows, we can streamline the process of moving from development to robust production deployments. Why did something break?

DevOps 145

DevOps Software Engineering Open Source Infrastructure 145

Dynatrace

JUNE 15, 2021

Those tests get executed from two locations (Paris and London) hosted by different cloud vendors (Azure & AWS). As a general best practice, Synthetic Tests are great to validate your core use cases are always working as expected. In our case that includes the login to our SaaS tenants and exploring captured data.

AWS 246

AWS Traffic Architecture Azure 246

Dynatrace

JULY 7, 2022

It’s easy to see why, with benefits such as better testing, easier deployment, faster performance, and more. A microservices approach enables DevOps teams to develop an application as a suite of small services. These teams typically use standardized tools and follow a sequential process to build, review, test, deliver, and deploy code.

Architecture 246

Architecture Serverless Azure Programming 246

Dynatrace

OCTOBER 1, 2021

As a result, IT operations, DevOps , and SRE teams are all looking for greater observability into these increasingly diverse and complex computing environments. DevSecOps teams can tap observability to get more insights into the apps they develop, and automate testing and CI/CD processes so they can release better quality code faster.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

FEBRUARY 12, 2024

Each use case provides its own unique value and impact, and whoever sees value in the use cases can adopt it—whether they are a platform engineer, DevOps engineer, performance engineer, or a site reliability engineer (SRE). The various presenters in this session aligned platform engineering use cases with the software development lifecycle.

Engineering 246

Engineering Development Infrastructure Cloud 246

Dynatrace

FEBRUARY 28, 2024

The VAPO platform is used to develop, test, and deploy containerized application and middleware workloads that support 400,000 VA employees and 20 million veterans. VAPO relies on Dynatrace and its integration with Red Hat to monitor application development and testing within containers to ensure optimal performance and security.

Monitoring 246

Monitoring Artificial Intelligence Performance Healthcare 246

Dynatrace

SEPTEMBER 13, 2023

And how can you verify this performance consistently across a multicloud environment that also uses Microsoft Azure and Google Cloud Platform frameworks? If so, test against the response time objective under the same Site Reliability Guardian. If both objectives pass, you have achieved your cost reduction on CPU size.

AWS 305

AWS Efficiency Azure Cloud 305

Dynatrace

JUNE 15, 2023

If your app runs in a public cloud, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), the provider secures the infrastructure, while you’re responsible for security measures within applications and configurations. The release cadence is rapid, sometimes daily or even multiple times per day.

Cloud 245

Cloud Open Source Architecture Monitoring 245

Tasktop

MARCH 18, 2020

Integrating qTest Manager and Azure DevOps allows you to automatically flow requirements and defects between the two tools, creating automated traceability, enhancing cross-team collaboration between developers and QA/test teams, and most importantly, reducing time to resolution. . The Art of Time Efficiency.

Azure 52

Azure DevOps Processing Efficiency 52

Dynatrace

FEBRUARY 9, 2021

The Hub includes the most prominent platforms like Kubernetes and Red Hat OpenShift as well as public cloud vendors like AWS, GCP, and Azure. Technologies are enabled with a wizard-like experience and are fully integrated into the common Dynatrace data model, including the additional context described above.

Software 221

Software Software Technology Technology 221

Dynatrace

JULY 13, 2020

Cloud Native DevOps with Kubernetes : . DevOps and Continuous delivery: R evolution in the process, the way people and organizations delivering software work . AKS (Microsoft Azure) . T hree revolutions that have been feeding on each other, as commented by John Arundel and Justin Domingus in their book?

Google 173

Google DevOps Ecommerce Cloud 173

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. Teams can assemble prebuilt components without needing long testing times.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

InfoQ

JUNE 26, 2024

Microsoft has introduced a significant enhancement to its Azure Functions platform with the Flex Consumption plan, designed to handle high HTTP scale efficiently. In practical tests, Azure Functions Flex demonstrated the ability to scale from zero to 32,000 RPS.

Azure 81

Azure Design Efficiency Testing 81

Dynatrace

MAY 28, 2020

After a new build gets deployed and automated tests executed, SLIs are evaluated against their SLOs and, depending on that result, a build is considered good (promoted) or bad (rolled back). “ The app description and supporting files such as load testing scripts are on the Keptn Example GitHub. This is what this blog is all about.

Engineering 270

Engineering Performance Metrics Best Practices 270

Dynatrace

APRIL 19, 2023

Practices include continuous security testing, promoting a mature DevSecOps culture, and more. “And this is an independently audited, pen-tested, continuously evolving program that we have in place, and we have publicly shared all of the information on how we secure the development and operations of our software.”

Design 246

Design Storage Programming Analytics 246

Tasktop

JANUARY 13, 2021

Tasktop integrated the organization’s ITSM tool— ServiceNow —to its Agile development tools— Atlassian Jira and Microsoft Azure DevOps —to optimize its ability to resolve users’ problems faster across all systems. Some teams use Jira, and others use Azure DevOps depending on the product value stream.

Azure 52

Azure DevOps Healthcare Code 52

Dynatrace

APRIL 30, 2019

Most of the time is taken by quality or release engineers looking at test results, comparing them with previous builds or walking through a checklist of items that accumulated over the years in order to harden their release acceptance process. Bamboo, Azure DevOps, AWS CodePipeline …. Pitometer is a Node.js

Architecture 149

Architecture Open Source Azure Metrics 149

Dynatrace

MAY 31, 2021

In particular, achieving observability across all containers controlled by Kubernetes can be laborious for even the most experienced DevOps teams. DevOps and continuous delivery: A revolution in processes, and the way people and software delivery teams work. Examples include: Azure Kubernetes Service (AKS). Red Hat OpenShift.

Virtualization 182

Virtualization DevOps Infrastructure Cloud 182

Testsigma

NOVEMBER 18, 2021

George Ukkuru is a seasoned technocrat and AVP of quality engineering, DevOps, and SRE @Marlabs Inc. Over the course of two decades, he has helped Fortune 500 companies implement Agile testing practices. He has also authored a number of books on quality engineering and test automation. This changes how teams test for quality.

Engineering 104

Engineering Social Media DevOps Azure 104

Testsigma

MAY 19, 2021

DevOps and cloud-based computing have existed in our life for some time now. DevOps is a casket that contains automation as its basic principle. Today, we are here to talk about the successful amalgamation of DevOps and cloud-based technologies that is amazing in itself. Why Opt For Cloud-Based Solutions and DevOps?

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

O'Reilly

MAY 19, 2020

AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud. But most Azure and GCP users also use AWS; the reverse isn’t necessarily true. However, close to half (~48%) use Microsoft Azure, and close to one-third (~32%) use Google Cloud Platform (GCP).

Cloud 144

Cloud Serverless AWS DevOps 144

Dynatrace

JULY 13, 2020

Cloud Native DevOps with Kubernetes : . DevOps and Continuous delivery: R evolution in the process, the way people and organizations delivering software work . AKS (Microsoft Azure) . T hree revolutions that have been feeding on each other, as commented by John Arundel and Justin Domingus in their book?

Google 130

Google DevOps Ecommerce Cloud 130