Machine learning operations (MLOps) is a method of optimizing the work process of data science and machine learning teams. MLOps platforms, or DevOps for machine learning, makes collaboration conceivable for data processing teams.
Justin Graham, vice president of products for Docker Inc., says the biggest benefit of the collaboration with AWS is the ability to seamlessly integrate a local instance of a Docker Compose file with AWS container services.
Docker Inc. and Amazon Web Services (AWS) today at the online AWS Cloud Containers Conference announced they are working together to better integrate…
Git is an essential and popular version control system. It has many powerful features like distributed version control system and easy to use. Also, it offers a powerful branching strategy and much more. Also, many git best practices help to use Git more effectively and productively.
From startups to enterprises racing to get new products launched, AI and machine learning (ML) are making solid contributions to accelerating new product development. There are 15,400 job positions for DevOps and product development engineers with AI and machine learning today on Indeed, LinkedIn and Monster combined.
Well, you’ve heard of DevOps: development and operational teams working together to ensure you end up with software that does what’s needed, and staff who know how to work it effectively. The NoOps approach is more radical: instead of blurring the boundaries, the aim is to create software that doesn’t require an operational team at all by automating everything to the maximum extent possible...
There are numerous approaches to in-house development; we explore one that focuses squarely on efficiency…
While many people talk about the DevOps pipeline and its impact on development and operations, there’s also an impact on other functions. For example, human resources doing the right hiring, sales doing the right pitch, or marketing obtaining feedback whether customers like the outcomes or not. According to IDC, DevSecOps will drive at least 50% of new applications in Asia-Pacific by 2024.
DevOps teams can send real-time logs to 27 and counting supported endpoints. Default log fields are automatically exposed to better determine the root cause of any issue. DevOps teams can also capture custom event details.
Fastly is adding the ability to collect tracing, customizable logging data and metrics from a serverless computing framework on edge computing platforms.
Continuous testing has been a buzzword over the years, and it is no longer considered a new term in the world of software development. Rather, it is a software testing strategy that is used to evaluate the quality of the product, not only during the latter half of the software development life cycle (SDLC) but also early stages.
Proper test automation across the SDLC enables a continuous testing methodology to further bridge the gap between continuous delivery and the user experience.
To get the best from DevOps, tackle your open source strategy in two dimensions: horizontal and then vertical. Consider this advice on tools and approaches that work
To get the best from DevOps, tackle your open source strategy in two dimensions: horizontal and then vertical. Consider this advice on tools and approaches that work…
As the triage phase of COVID-19 response ends and the transformation phase begins, individuals and organizations can achieve more by focusing on three areas that DevOps pros know well.
By leveraging big data and ML in traditional analytics tools, AIOps is able to automate some parts of IT operations and streamline other elements through insights gained from data. The aim is to reduce the time burden placed on IT ops teams by administrative and repetitive activities that are still vital to the operation of the larger enterprise.