Dynatrace

JULY 20, 2022

Dynatrace Cloud Automation lets you track your most critical Service Level Objectives ( SLO ). Further, it enables you to release with confidence by catching poor quality code before it reaches production. Now, we’re happy to extend our Cloud Automation offering with automated problem remediation. The costs of downtime.

DevOps 226

DevOps Cloud Innovation Tuning 226

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. Watch webinar now!

DevOps 228

DevOps Innovation Infrastructure Analytics 228

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

DECEMBER 8, 2020

Cloud-native technologies, including Kubernetes and OpenShift, help organizations accelerate innovation. Open source has also become a fundamental building block of the entire cloud-native stack. Why cloud-native applications, Kubernetes, and open source require a radically different approach to application security.

Cloud 287

Cloud Open Source Internet Internet 287

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. 05:00 – Quick Start – Connect Cloud Automation.

DevOps 244

DevOps Open Source Cloud Azure 244

Dynatrace

AUGUST 11, 2022

And the distinction between applications and cloud platforms is blurring. DevOps teams, SREs (site reliability engineers), platform teams, and SecOps teams aren’t always working from a common source of truth: SAST tools (static application security testing) provide scanning code for vulnerabilities.

Java 237

Java Cloud Virtualization DevOps 237

Dynatrace

AUGUST 7, 2023

Developers use generative AI to find errors in code and automatically document their code. They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. Learn how security improves DevOps. DevOps vs DevSecOps: Why integrate security and DevOps?

DevOps 182

DevOps Analytics Best Practices Java 182

Dynatrace

MAY 23, 2022

IDC predicted, by 2022, 90% of all applications will feature microservices architectures that improve the ability to design, debug, update, and use third-party code. Combined with Agile or DevOps approaches and methodologies, enterprises can accelerate their ability to deliver digital services. Hard on DevOps.

Architecture 192

Architecture DevOps Monitoring Programming 192

Dynatrace

SEPTEMBER 29, 2021

In part one of this series , I talked through the common pain points software delivery teams face as they’re asked to support cloud adoption and modernization initiatives. Example #3 – Automate Monitoring configuration as code. Below is a picture illustrating the use case of using Monaco as part of a code delivery pipeline.

Software 197

Software Software Open Source DevOps 197

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

DECEMBER 6, 2022

Used by organizations for everything from assigning support tickets to managing failover regimes, feature flags enable DevOps teams to release software faster and more reliably. In addition to requiring a high degree of custom coding, feature flags can rapidly accrue technical debt that can be opaque to diagnose.

Open Source 203

Open Source DevOps Java Code 203

Tasktop

MAY 11, 2021

Oh, and it just so happens that one of our favourite events of the year takes place too, providing the perfect opportunity for the DevOps community to come together: The virtual DevOps Enterprise Summit, Europe (18-20 May 2021). . OKRs & DevOps: From Micromanagement Misery to Finding Flow. Daily Coffee Break Live Demos.

Virtualization 52

Virtualization DevOps Metrics Software 52

Testsigma

APRIL 27, 2020

Organizations that adopt DevOps are able to evolve and improve software products much faster when compared to those that use traditional software development processes. DevOps is a bridge between development and operations in an organization and aims to improve productivity as a whole. Why DevOps Really Matters For Modern Businesses?

DevOps 53

DevOps Innovation Efficiency Testing 53

Dynatrace

OCTOBER 21, 2021

But there is a lack of time for DevOps , SRE , and developers to analyze all this data to identify whether there’s a user impacting problem and if so – what the root cause is to fix it fast. If you’re interested in learning more, I recommend you check out these articles: Why DevOps love Dynatrace CodeLab Tutorials by Sergio Hinojosa.

Metrics 214

Metrics DevOps Engineering Strategy 214

Dynatrace

DECEMBER 22, 2021

Observability platforms are becoming essential as the complexity of cloud-native architectures increases. As applications have become more complex, observability tools have adapted to meet the needs of developers and DevOps teams. As a result, teams can gain full visibility into their applications and multicloud infrastructure.

Artificial Intelligence 175

Artificial Intelligence Metrics Architecture DevOps 175

Dynatrace

APRIL 20, 2022

This new service is a step forward to enhance the user experience with code-driven automation of Kubernetes EKS and the Dynatrace Intelligent Observability Platform. Amazon Elastic Kubernetes Service is a managed infrastructure service offered by Amazon Web Services that executes and scales Kubernetes applications in the AWS cloud.

AWS 213

AWS Infrastructure Open Source Best Practices 213

Dynatrace

NOVEMBER 19, 2020

Keptn is an event-based platform for continuous delivery and automated operations to help developers focus on code instead of witting tons of configuration and pipeline files. It helps organizations deliver cloud-native applications by reducing the maintenance of complex pipelines. Jenkins code libraries.

Software 142

Software Software DevOps Open Source 142

Dynatrace

JANUARY 26, 2021

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 computing is a cloud-based, on-demand execution model where customers consume resources solely based on their application usage.

Serverless 242

Serverless Efficiency Lambda Azure 242

Dynatrace

JUNE 1, 2021

Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

SEPTEMBER 17, 2019

But every organization I talked with, that is engaged in a k8s project, told me that in order for them to truly leverage k8s as a cloud native platform you need ALL of the following “ Monitoring as a Self-Service Capabilities ” (MaaSS) which aren’t covered by any of the open source or platform offerings: K8s cluster and pod health monitoring.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Dynatrace

APRIL 25, 2023

It becomes a challenge for teams to understand, share, and act on the insights derived from their data and to optimize cloud operations, enhance application security, and accelerate the delivery of new innovations. and only they have access.” “That is what exploratory analytics is for,” Schumacher explains.

Analytics 196

Analytics Big Data Media Operating System 196

Adrian Cockcroft

FEBRUARY 13, 2023

There was some new sustainability information that was quietly added to Amazon’s Sustainability in the Cloud page in October 2022 that is significant. I’m working with Aerin on a Sustainability in the Cloud Maven class in the UK at the moment, and we’re looking for attendees. SUS209 — there was no talk with this code.

AWS 64

AWS Energy Architecture Programming 64

Testsigma

SEPTEMBER 15, 2020

With the advancement in technology together with the advent of Agile and DevOps, the software industry is witnessing many changes. Generally, when talking about automation testing, we are talking about automation testing by coding or scripting. Testsigma: A cloud-based test automation platform. Minimum coding skills required.

Testing 59

Testing Testing Tools Code DevOps 59

Testsigma

APRIL 7, 2020

The self-healing feature of Testsgima has AI in the backend which automatically fixes minor changes made to the source code and hence prevents the tests from failing. With the cloud, you can get your own dedicated testing environment resources as per your need and only pay for what you use. This may take a lot of time and effort.

Testing Tools 55

Testing Tools Testing Strategy Speed 55

Testsigma

APRIL 17, 2020

Developers should help testers understand the code base and the testers should help the developers understand the test suite and the logic behind the test techniques used or followed. Teams which are using Agile and DevOps workflows should use CI (Continuous Integration) tools such as Jenkins. Schedule a demo.

Software 55

Software Software Testing DevOps 55

Dotcom-Montior

NOVEMBER 24, 2021

With the rapid advancements in web application technologies, programming languages, cloud computing services, microservices, hybrid environments, etc., The metrics measured could be monitoring HTTP (Hypertext Transfer Protocol) requests, response codes, user metrics, etc. Gone are the days of monolithic architecture.

Systems 74

Systems Monitoring Hardware Network 74

Apica

AUGUST 12, 2020

They had mentioned that writing a small piece of code to check the availability of a single resource was relatively simple but doing this at scale proved to be very difficult. We have heard and continue to hear from enterprise DevOps teams that they want their testing and monitoring to “Shift Left.” Scalability.

Monitoring 52

Monitoring Testing Scalability Hardware 52

Abhishek Tiwari

NOVEMBER 3, 2018

Although some vendors have added support for APIs and cloud services most have not even bothered to adapt with changing technology landscape. In addition, traditional CMS solutions lack integration with modern software stack, cloud services, and software delivery pipelines. There is hardly any innovation from traditional CMS vendors.

Systems 63

Systems Cache Website Network 63

O'Reilly

MARCH 2, 2020

It’s not about getting software developers to write code faster. It’s reasonable to have something to demo in two weeks (or whatever interval you choose). Perhaps the appropriate yardstick for AI projects is the experiment itself, not the code committed to git.). Still cloud-y, but with a possibility of migration.

Artificial Intelligence 21

Artificial Intelligence Software Architecture Programming Infrastructure 21