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Have you ever had to deploy, configure, and maintain your own DevOps agents, be it for Azure DevOps or GitHub? Managed DevOps Pools have recently been announced as Public Preview. Managed DevOps Pools, what are they? Managed DevOps Pools are Microsoft-hosted agents that can be configured to use private networking.
Since the introduction of simple applications to the market, DevOps teams have faced increasing demands in terms of speed, efficiency, and application reliability. To meet these needs, some are embracing artificial intelligence (AI) to introduce more automation, business intelligence, and intelligent decision-making to cloud DevOps.
Adopting AIOps helps DevOps through automation, predictive intelligence and better data-driven decisions. This collaboration fosters efficient processes, improved quality and continuous improvement to meet the ever-changing demands of the industry and customer requirements.
An analysis of a data set collected by SignalFire, a platform provider for recruiting employees, finds that IT professionals specializing in areas such as DevOps move into leadership roles within their organizations within two to three years.
Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software
Though DevOps is a relatively new role, it’s one that allows visibility across the whole operation, making it important to senior tech positions. This includes how to: Obtain an overview of existing AI/ML technologies throughout the DevOps pipeline across categories. Understand the future of DevOps tied with AI/ML technologies.
As businesses grow and cloud systems get more complex, traditional DevOps methods struggle to keep up with fast changes. It is also evolving DevOps practices by automating repetitive tasks, improving processes, enhancing security, and providing better monitoring insights. Thats where Generative AI comes in.
Research shows that DevOps enhances workplace efficiency by fostering collaboration, automating repetitive tasks, and improving both speed and productivity The post Research shows DevOps plays a vital role in workplace efficiency first appeared on Agile Alliance.
We’re thrilled to announce the finalists for the DevOps Dozen Awards 2024, recognizing this year’s top innovators and their standout contributions in the DevOps field. These exceptional individuals and organizations have shown true dedication to advancing DevOps, driving progress and excellence in our industry over the past year.
Each year, the DevOps Dozen Awards recognize the best and brightest in the DevOps community and industry, celebrating individuals and organizations making a significant impact. We are thrilled to announce the winners of […]
Datadog Security Monitoring provides end-to-end security coverage of dynamic, distributed systems in a unified platform, enabling DevOps, SecOps, and GRC teams to work together to detect and respond to threats and misconfigurations in real time.
It may surprise you, but DevOps has been around for nearly two decades. Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps.
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers.
These agents are becoming critical in transforming DevOps and cloud delivery processes. The fast growth of artificial intelligence (AI) has created new opportunities for businesses to improve and be more creative. A key development in this area is intelligent agents. They are designed to complete specific tasks and reach specific goals.
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers.
Luckily, the culture of DevOps and the practice of Continuous Delivery supports product managers and their teams as modern software development evolves at a rapid pace. Join Suzie Prince, Head of Product for DevOps at Atlassian, and make sure your software team never misses a beat during the pandemic.
Imagine for a moment that DevOps was not just a set of practices or a framework but something alive, breathing and evolving. DevOps has long been about breaking down silos between development and operations teams, speeding […] What would that look like?
Once during an interview for a senior DevOps position, I had an amusing experience. To switch things up, I handed a marker to the two engineers at the interview who were assessing my knowledge and asked them to explain how their DevOps processes were organized. The engineers and the interviewer were surprised but raised no objections.
When should you even start thinking about MLOps, or when is plain DevOps wiser to focus on first? Operations ML teams are focused on stability and reliability Ops ML teams have roles like Platform Engineers, SRE’s, DevOps Engineers, Software Engineers, IT Managers. Enter DevOps. DevOps is a prerequisite for MLOps.
A pot of gold at the intersection of DevOps and generative AI? Segev, the co-founder and managing partner of VC firm TLV Partners , thinks that generative AI could lead to innovative ways for companies to explore and manage their infrastructure. by Anna Heim originally published on TechCrunch
Speaker: Nico Krüger, Senior Director of Solutions Engineering at Rollbar
How is your organization’s DevOps doing? DevOps Research and Assessment (DORA) has identified four key metrics to help organizations understand where their DevOps stands and how it can reach an elite level of performance. Do you have strategies to both identify problems and improve performance?
DevOps.com is now providing a weekly DevOps jobs report through which opportunities for DevOps professionals will be highlighted as part of an effort to better serve our audience. Our goal in these challenging economic times is to make it just that much easier for DevOps professionals to advance their careers.
If you work in DevOps, youve heard it a thousand times: Do more with less. More automation, more security, more reliabilitybut with the same (or fewer) people. Meanwhile, your development teams keep growing, pushing out new features at breakneck speed. Yet somehow, the infrastructure team is supposed to scale magically to keep up.
Today, I want to talk about something super important for anyone diving into the world of DevOps: networking. Networking might sound a bit dry or overly technical at first, but it's actually the backbone of everything DevOps stands for: collaboration, automation, and efficiency.
By automating the deployment of Sitecore hotfixes with an Azure DevOps pipeline, you can ensure faster, more reliable updates while reducing human error and minimizing downtime. In this post, well walk you through how to automate this process using Azure DevOps. Having a quick, automated process to apply these updates is crucial.
In this eBook, Christian Oestreich, a senior software engineering leader with experience at multiple Fortune 500 companies, shares how a metrics-driven mindset can dramatically improve software quality and enable DevOps at enterprise scale.
Solving the agentic DevOps problem with open frameworks Last week also saw Google announcing new open frameworks the Agent Development Kit (ADK) and the Agent2Agent (A2A) protocol to help enterprises build, manage, and connect multiple agents, even across different ecosystems.
Today, IT encompasses site reliability engineering (SRE), platform engineering, DevOps, and automation teams, and the need to manage services across multi-cloud and hybrid-cloud environments in addition to legacy systems. Understanding the root cause of issues is one situational benefit of AIOps.
Where is it safer to keep your DevOps data backups in the cloud or on-premise? For sure, when it comes to SMBs or large businesses, everything depends on their corporate, legal, or compliance requirements.
A study coming out of Stanford University conducted by software engineering productivity specialist Yegor Denisov-Blanch claims that developer teams are rife with so-called ghost engineers who do virtually no work.
As DevOps Value Stream Management (VSM) goes mainstream, large and small organizations increasingly recognize the need to apply data analytics to manage the end-to-end software delivery process more effectively – to deliver quality software faster and more predictably.
Anjali Arora, chief technology officer at Perforce Software, discusses the inefficiencies in DevOps infrastructure and the role of platform engineering in addressing them. She notes the shift from traditional IT-managed infrastructure to DevOps-driven provisioning, and how it’s led to a fragmented and costly environment.
Es una habilidad comn para ingenieros de la nube, ingenieros de DevOps, arquitectos de soluciones, ingenieros de datos, analistas de ciberseguridad, desarrolladores de software , administradores de red y muchos otros roles de TI. Ofertas de empleo :90.550 Aumento interanual :7% Total de currculums :32.773.163 3.
TL;DR: Chancing the narrative on GitHub Copilot from focus on engineers to focus on a sturdy (DevOps) foundation to be able to go faster. Next frontier: the rest of our organization Premise: current narrative is not helping In my opinion we need to shift the narrative on enabling engineers to use GitHub Copilot.
Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services
Whether you're developing for a small startup or a large corporation, learning the tools for CI/CD will make your good DevOps team great. Maintaining a culture of DevOps no matter what the size of your organization is. We are excited to be joined by Leo Zhadanovsky, Principal Solutions Architect at Amazon Web Services.
The annual DevOps Research and Assessment (DORA) published today by Google finds that while generative artificial intelligence (AI) is leading to moderate gains in productivity, it also appears to be slowing the rate at which software is being delivered.
How AI-powered DevOps is setting new standards for efficiency By Matthew Smith Posted in Operations Published on: March 26, 2025 Last update: March 26, 2025 Software development should be fast, but for many teams, it still feels like wading through quicksand. DevOps was meant to speed things up, but inefficiencies remain.
DevOps fueled this shift to the cloud, as it gave decision-makers a sense of control over business-critical applications hosted outside their own data centers. In the early 2000s, most business-critical software was hosted on privately run data centers.
Colaborar a travs de DevOps (o no) Si bien Campos resta importancia al papel de DevOps para la seguridad y la colaboracin del equipo de FinOps, Gil de Cast AI est a favor de DevSecOps para la colaboracin del equipo de FinOps y seguridad para equilibrar los costes y la seguridad.
It's time to manage your team's energies to maximize DevOps efficiency, all the while maintaining top security standards. How a belief that DevOps resources are jack of all trades can increase your risks, not lessen. In the current climate, we cannot afford to let security implementations falter.
Scalability: Does it allow for enterprise-grade DevOps integration, scaling to cover the entire modernisation process, for efficiency, differentiation, and maximised business value? The foundation of the solution is also important.
GitHub Copilot adds Agent Mode with MCP support to all VS Code users, bringing agentic capabilities and multi-model choice that will revolutionize DevOps workflows.
There is a need for an automated, scalable, and reliable testing framework that integrates seamlessly into DevOps workflows to validate Kubernetes configurations , prevent deployment issues, and ensure system reliability across different environments.
Publish Dashboard Pipeline This Azure DevOps pipeline can be triggered by dashboard authors. By leveraging Azure DevOps and Terraform, we aligned the solution with our existing workflows and infrastructure. Solution Overview Our solution for QuickSight resource version control comprises two main parts: 1.
Learn how automating database compliance: Mitigates risk Protects against security vulnerabilities Helps avoid regulatory penalties Aligns database workflows with app lifecycle Turns database change bottlenecks into seamless safeguards Unlock the operational advantages and compliance protections of database DevOps to streamline your workflows, enhance (..)
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