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 Metrics 52

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. Example #1 – Deploy application code to Kubernetes.

Software 245

Software Software Open Source Azure 245

Dynatrace

AUGUST 17, 2021

Using a microservices approach, DevOps teams split services into functional APIs instead of shipping applications as one collective unit. One large team generally maintains the source code in a centralized repository visible to all engineers, who commit their code in a single large build. Focused on delivering business value.

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. One large team generally maintains the source code in a centralized repository visible to all engineers, who commit their code in a single large build. Focused on delivering business value.

Architecture 241

Architecture Software Software Development 241

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 211

Cloud DevOps Azure Virtualization 211

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). Configuration as code is easy to use, update, and understand. Ensure seamless user journeys in every new release.

Engineering 172

Engineering Development Infrastructure Cloud 172

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

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. Although GCF adds needed flexibility to serverless application development, it can also pose observability challenges for DevOps teams.

Google 211

Google Cloud Serverless Azure 211

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 189

Architecture Serverless Azure Programming 189

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

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 198

Analytics Monitoring Artificial Intelligence DevOps 198

Dynatrace

FEBRUARY 28, 2024

Department of Veterans Affairs (VA) is packaging application code along with its libraries and dependencies within an executable software unit. 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.

Monitoring 173

Monitoring Artificial Intelligence Performance Healthcare 173

Dynatrace

SEPTEMBER 29, 2021

The time and effort saved with testing and deployment are a game-changer for DevOps. These tools integrate tightly with code repositories (such as GitHub) and continuous integration and continuous delivery (CI/CD) pipeline tools (such as Jenkins). In production, containers are easy to replicate. Here are some examples.

Open Source 290

Open Source Traffic DevOps Cloud 290

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 179

Cloud DevOps Azure Architecture 179

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 160

Cloud DevOps Speed Metrics 160

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 179

AWS Traffic Architecture Azure 179

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 Infrastructure 363

Dynatrace

JUNE 15, 2023

Cloud application security practices enable organizations to follow secure coding practices, monitor and log activities for detection and response, comply with regulations, and develop incident response plans. Rapid development and iteration Modern cloud apps are typically developed using modern methodologies such as Agile and DevOps.

Cloud 168

Cloud Open Source Architecture Monitoring 168

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? Using an interactive no/low code editor, you can create workflows or configure them as code. If both objectives pass, you have achieved your cost reduction on CPU size.

AWS 236

AWS Efficiency Azure Cloud 236

Testlodge

JANUARY 26, 2022

Non-functional testing focuses on user expectations, whereas functional testing is to do with user requirements. Non-functional testing examines how a system operates rather than looking at specific functions or behaviors. Why is Non-Functional Testing necessary? Both functional and non-functional tests are essential.

Testing 74

Testing Open Source Testing Tools Programming 74

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 . refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ?

Google 131

Google Ecommerce DevOps Cloud 131

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 . refers to cloud-based, containerized, distributed systems, made up of cooperating microservices, dynamically managed by automated infrastructure as code. . ?

Google 130

Google Ecommerce DevOps Cloud 130

Testsigma

JULY 31, 2021

It’s a known fact that automation testing is extremely crucial in maintaining software quality. To secure their quality and to help you deliver delightful experiences to your users and ones that’ll keep your users engaged with your products — testing is essential. Picture credit: Meme generator. Allow us to explain.

Mobile 52

Mobile Software Software Testing 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 125

Architecture Open Source Azure Metrics 125

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).

Virtualization 132

Virtualization DevOps Infrastructure Cloud 132

Dynatrace

FEBRUARY 9, 2021

All technologies and extensions provide or permit additional contexts, like user sessions and experience, interdependencies between components, or code-level information in addition to the three pillars of observability (traces, metrics, and logs). Easily tie data to the application topology for deep analysis and to fuel the Davis AI engine.

Software 141

Software Software Technology Technology 141

Dynatrace

APRIL 19, 2023

Practices include continuous security testing, promoting a mature DevSecOps culture, and more. Log4j is a ubiquitous software code in various consumer-facing products and services. The company performs regular self-assessments (see the Cloud Security Alliance CAIQ report ) and conducts penetration tests with independent security firms.

Design 181

Design Storage Programming Analytics 181

Dotcom-Montior

OCTOBER 19, 2021

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., It is a general-purpose language, meaning that it has a wide-range of uses, such as the backbone of websites or web applications, automating tasks, or even testing. Kubernetes.

Engineering 86

Engineering Open Source Programming Monitoring 86

Testsigma

JUNE 23, 2021

As software organizations have to release or add new features in their software on a regular basis, proper and thorough testing of all the features on time becomes a real challenge. But most of the automation tools usually take a lot of time and effort in test creation, test execution, and test maintenance which brings down the ROI.

Speed 52

Speed Software Software DevOps 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. The State of the DevOps report points to highly productive teams being able to utilize tools of choice for their disciplines. .

DevOps 69

DevOps Azure Network Efficiency 69

Dynatrace

SEPTEMBER 17, 2019

End-to-end code-level tracing. 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. MaaS for Developers: Understand and optimize your code. Full-stack observability.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Dotcom-Montior

FEBRUARY 19, 2022

A typical SRE is busy automating, cleaning up code, upgrading servers, and continually monitoring dashboards for performance, etc., It is a general-purpose language, meaning that it has a wide-range of uses, such as the backbone of websites or web applications, automating tasks, or even testing. Kubernetes.

Engineering 52

Engineering Open Source Programming Monitoring 52

Dynatrace

NOVEMBER 25, 2019

In the last several years, I’ve led many sessions on DevOps, NoOps, Continuous Delivery, Continuous Performance, Shift-Left, Self-Healing, and GitOps. Zeroing in on the current state of DevOps and autonomous cloud and advancing performance. NoOps: Reaching zero-incident prod through auto-remediation-as-code.

DevOps 38

DevOps Software Software Performance 38

Particular Software

MAY 28, 2018

Maybe you like Linux or have a MacBook, Or want to host code without breaking your checkbook. You can develop your code on a Mac and deploy on your favorite flavor of Linux. Low-level code in the.NET Framework that was previously considered good enough is now being optimized both by Microsoft and community contributions.

Azure 49

Azure Open Source DevOps Storage 49

Particular Software

DECEMBER 9, 2019

An IP address in a config file is still hardcoded; it's just hardcoded in XML instead of code. Ultimately, this comes down to testing. DevOps Along with the rise of the cloud and containers, we have also seen the rise of DevOps, which is becoming a common part of the software development process at many organizations.

Wireless 52

Wireless DevOps Infrastructure Network 52

Percona

FEBRUARY 24, 2023

These color-coded states on panels are available in PMM 2.32.0 Duties that DevOps engineers would typically perform (server management, scaling, provisioning, patching, etc.) become the responsibility of AWS, GCP, or Azure. Configuration of the CPU metrics can be changed in the dashboard.

Cloud 116

Cloud Serverless AWS Storage 116

O'Reilly

NOVEMBER 12, 2019

Writing code for one vendor platform does not make it portable or simple to move elsewhere. Integration/testing is harder” ranked as the third biggest worry, noted by 30% of respondents. Testing is more complex and labor intensive for serverless architectures, with more scenarios to address and different types of dependencies (e.g.,

Serverless 88

Serverless Architecture FinTech Infrastructure 88