Linux Academy

MARCH 28, 2019

On the heals of the still wet DevOps movement we are introduced to the new era of DevOps that reaches beyond pipeline automation and into the realm of pipeline evolution. The popularity of agile development, continuous integration, and continuous delivery has brought levels of automation that rival anything preciously known.

Artificial Inteligence 60

Artificial Inteligence Metrics Machine Learning Linux 60

Altexsoft

JULY 4, 2022

In large enterprises, there can be a separate role of an infrastructure security engineer to perform the above-mentioned duties. Infrastructure monitoring means constant gathering and analyzing performance and health data from different assets — such as hosts, servers, databases, virtual machines, containers, etc.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Daniel Bryant

SEPTEMBER 20, 2018

Unlike the poor canaries of the past, obviously no users are physically hurt during a software release, but negative results from a canary release can be inferred from telemetry and metrics in relation to key performance indicators (KPIs). This includes the ability to observe and comprehend both technical metrics (e.g.

Cloud 40

Cloud Load Balancer Disaster Recovery Weak Development Team 40

Coveros

AUGUST 31, 2021

Meanwhile, your DevOps team has thrown a bunch of automation in place to help, but it seems to be creating a bigger, different mess that results in broken systems that don’t work together. At Coveros, we call this “DevOps engineering.” The Microservices Design Challenge. High-level pipeline stages.

Microservices 52

Microservices DevOps How To Weak Development Team 52

Altexsoft

FEBRUARY 24, 2023

Kubernetes load balancer to optimize performance and improve app stability The goal of load balancing is to evenly distribute incoming traffic across machines, enabling an app to remain stable and easily handle a large number of client requests. But there are other pros worth mentioning.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

LaunchDarkly

MAY 15, 2020

You’re essentially monitoring the world and the world is asking, Hey, can you tell me how your real users actually perceive your app or services performance and its availability? And then finally the idea of performance. But for your database or for your load balancers or other parts of your system.

Weak Development Team 52

Weak Development Team Internet Network Performance 52

CircleCI

MARCH 22, 2021

However, to make the best use of network performance and work distribution, you may need to optimize your application code — and potentially re-architect the application (though doing so makes further scaling easier). Continuous integration pipelines are a key part of this. One example is Kubernetes’ built-in load balancer.

Applications 59

Applications Load Balancer Software Review Storage 59

CircleCI

OCTOBER 20, 2022

Worker nodes within the Kubernetes cluster perform actions facilitated by the Kubernetes API. By implementing security best practices such as automated vulnerability scans in a continuous integration pipeline , you can significantly reduce your risk exposure. However, a good load balancer solves the problem of traffic with ease.

Open Source 52

Open Source Azure Resources Load Balancer 52

Modus Create

JUNE 7, 2022

An additional benefit of application modernization is the improvement of ancillary technologies and processes such as cloud computing, DevOps, and release management. In today’s competitive marketplace, companies must offer robust and performant applications that deliver a best-in-class user experience on browsers and mobile devices.

Applications 98

Applications Technical Review Enterprise Microservices 98

Altexsoft

DECEMBER 14, 2022

delivering microservice-based and cloud-native applications; standardized continuous integration and delivery ( CI/CD ) processes for applications; isolation of multiple parallel applications on a host system; faster application development; software migration; and. Typical areas of application of Docker are. Hard learning curve.

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Weak Development Team Linux Operating System Virtualization 52

CircleCI

OCTOBER 20, 2020

In fact, developers and DevOps teams might feel like their application development pipeline is hopelessly outdated if they aren’t using Kubernetes. Along with modern continuous integration and continuous deployment (CI/CD) tools, Kubernetes provides the basis for scaling these apps without huge engineering effort.

Microservices 69

Microservices Technical Review Load Balancer Azure 69

Blue Sentry

MAY 17, 2021

better performance than other leading platforms. When we look at ML deployments, there are a ton of different platform and resource considerations to manage, and CI/CD (Continuous Integration & Continuous Delivery) teams are often managing all of these resources across a variety of different microservices (i.e.,

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Artificial Inteligence Machine Learning Artificial Intelligence Technical Review 52