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 244

Architecture Software Software Development 244

Dynatrace

NOVEMBER 10, 2022

It also enables the agile DevOps development techniques that have been adopted by 83% of IT organizations, according to Puppet. Agile DevOps practices using cloud platforms needn’t be subject to the management overhead of traditional monolithic development. The principles of cloud-native architecture.

Cloud 162

Cloud Architecture Serverless Infrastructure 162

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. Google Cloud Functions is a serverless compute service for creating and launching microservices. What is Google Cloud Functions?

Google 221

Google Cloud Serverless Azure 221

Dynatrace

OCTOBER 17, 2022

However, as organizations adopt more cloud-native technologies, such as containerized microservices and serverless platforms, operations have become exponentially more complex. DevOps: Applying AIOps to development environments. DevOps can benefit from AIOps with support for more capable build-and-deploy pipelines.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

Dynatrace

APRIL 11, 2023

And 36% of these organizations also reported that the siloed culture between DevOps and security teams prevents collaboration. Shifting left is the practice of moving testing, quality, and performance evaluation early in the development process, often before code is written. Learn how security improves DevOps.

Cloud 186

Cloud DevOps Open Source Retail 186

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

Dynatrace

JUNE 13, 2022

Cloud environment toolkits —microservices, Kubernetes, and serverless platforms — enable business agility, but also create complexity for which many security solutions weren’t built for. DevSecOps practices build on DevOps, ensuring that security concerns are top of mind as developers build code. Learn how security improves DevOps.

Open Source 221

Open Source DevOps Java Innovation 221

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 200

Architecture Serverless Azure Programming 200

Dynatrace

MAY 23, 2022

Shifting from monolith to microservices makes it easier to test, develop, and release innovative features more rapidly. Combined with Agile or DevOps approaches and methodologies, enterprises can accelerate their ability to deliver digital services. Easier to test. Challenging during build, test, and release cycles.

Architecture 195

Architecture DevOps Monitoring Programming 195

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 176

Engineering DevOps Government Latency 176

TechBeacon Testing

SEPTEMBER 19, 2019

Serverless technologies can go a long way toward helping organizations with certain application needs avoid the complexity of infrastructure management. But implementing serverless apps has consequences. You can just throw code at the cloud and have an application.

Serverless 44

Serverless Testing Infrastructure Cloud 44

Percona

FEBRUARY 24, 2023

Figure 5: Experimental PostgreSQL Vacuum Monitoring What about serverless? With serverless, you truly pay only for what you’re actively using, and unused resources aren’t typically easy to be left flying around, but the move to serverless isn’t without cost. become the responsibility of AWS, GCP, or Azure.

Cloud 120

Cloud Serverless AWS Storage 120

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

APRIL 21, 2022

To do that, organizations must evolve their DevOps and IT Service Management (ITSM) processes. Some principles Microsoft provides to help organizations across this area include: Define and test availability targets such as service level agreements (SLAs) and SLOs. Design applications to recover from errors gracefully.

Azure 188

Azure Monitoring Virtualization Metrics 188

Dynatrace

OCTOBER 13, 2021

Cloud infrastructure analysis ensures the secure configuration of cloud infrastructure including virtual machines, containers, cloud-hosted databases, and serverless services. This also determines if identity management and access control policies are in place. The world is changing fast.

Infrastructure 170

Infrastructure Open Source Virtualization Operating System 170

Dynatrace

AUGUST 5, 2022

Developers can easily modify applications by adding or swapping out microservices, and testing requirements are reduced because microservices are isolated and often pre-tested. Services communicate using application programming interfaces, which means there is no need to write them in specific programming languages or frameworks.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

AUGUST 5, 2022

Developers can easily modify applications by adding or swapping out microservices, and testing requirements are reduced because microservices are isolated and often pre-tested. Services communicate using application programming interfaces, which means there is no need to write them in specific programming languages or frameworks.

Monitoring 199

Monitoring Serverless Programming Speed 199

Dynatrace

OCTOBER 17, 2019

We’re currently in a technological era where we have a large variety of computing endpoints at our disposal like containers, Platform as a Service (PaaS), serverless, virtual machines, APIs, etc. This infrastructure can be integrated into a DevOps pipeline to dynamically build and destroy environments as the pipeline executes.

Code 109

Code Infrastructure DevOps Serverless 109

Dynatrace

NOVEMBER 8, 2021

To deliver flawless user experiences, an APM solution should be able to delve into real-user monitoring and synthetic testing, with the ability to replay session-level details. We use a lot of serverless (FaaS) in our infrastructure, and Dynatrace really helps us troubleshoot failed invocations. User experience diagnostics.

Artificial Intelligence 232

Artificial Intelligence Monitoring Infrastructure Cloud 232

Dynatrace

SEPTEMBER 13, 2023

For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services. 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 246

AWS Efficiency Azure Cloud 246

Dynatrace

JUNE 17, 2019

Keptn is taking care of: Automated Deployments and Automated Tests. keptn builds on top of Knative , a platform for container-based serverless workloads. link) use case in the keptn doc where you will use that same file creating a stage pipeline (dev, stage, prod) with different deployment and testing strategies.

Cloud 195

Cloud Open Source Traffic Architecture 195

The Symphonia

JANUARY 21, 2019

we help people create a Continuous Deployment pipeline before they start getting into the nitty-gritty of Serverless Architecture. You tell it where to get some source code from, give it a bunch of scripts to run in a shell environment (build, package, test, etc.), Build + Test ? Build + Test can be … well, I’ll get to that.

AWS 40

AWS Open Source Lambda Serverless 40

O'Reilly

MAY 19, 2020

Even though SRE is less well known than microservices, DevOps, and other topics, it isn’t in any sense new. Or is the growth in SRE related to other factors, such as (for example) declining interest in DevOps itself? Clearly, the DevOps practices that took root over the last decade aren’t going anywhere. Serverless Stagnant.

Cloud 141

Cloud Serverless AWS Architecture 141

Abhishek Tiwari

FEBRUARY 26, 2020

Get test automation improved (10-20%). Increase automated test cover (30-40%) and start implementing property tests like performance and load testing. Test coverage (50-70%). Serve you SPA via CDN like Netlify or Cloudfront in conjunction with S3. Use API gateway to have a singly entry point for all your APIs.

Technology 81

Technology Technology Architecture Engineering 81

Smashing Magazine

AUGUST 20, 2021

The benefits of a fast-loading website, automated DevOps, higher uptime, and faster development cycles are much more seductive to companies building bespoke web projects. Netlify , Vercel , CloudFlare , and AWS all have the concept of serverless functions run at edge nodes of a CDN. Fine-grained permissions.

Ecommerce 140

Ecommerce Website Government Internet 140

Abhishek Tiwari

NOVEMBER 3, 2018

Recently I was asked about content management systems (CMS) of the future - more specifically how they are evolving in the era of microservices, APIs, and serverless computing. Atomic deploy model can be extended to advanced functionalities such as staging, instant rollbacks, phased rollouts, and A/B testing.

Systems 63

Systems Cache Website Network 63