MLOps is a discipline aimed at increasing the number of machine learning and data science projects that successfully mature into production. This article explains all you need to know about the discipline. What MLOps is, the goal, principles, business benefits, tools, and the necessary things to know to seek a career in the path.
This article was originally published on The Chief I/O: Everything You Should Know About MLOps
“87% of data science projects never make it into production”, VentureBeat AI reported in 2019. Lack of access to adequate data, not having the right talents, solving the wrong problems, and following a fallacious model development process are some of the many issues responsible for this appalling rate of failure.
Of the four key points mentioned, especially for commercial ML solution providers, an erroneous development process happens to be more defiling to the maturity of a data science or machine learning project from data sourcing…
While Kubernetes is designed to run in many use cases, you should not use it for every use case. This article aims to help you understand that you should not be constricted to Kubernetes and that you should look into other alternatives that are less complex but effective.
This article was originally published on The Chief I/O: When Not To Use Kubernetes?
Kubernetes is the most widely used orchestration system for large-scale containerized software. Amidst the maturity of cloud computing and the technologies it introduced, many developers and organizations believe their tech stack is not complete without Kubernetes. If you engage in technology discussion forums or pay attention to technology news, it feels like everybody is running on Kubernetes or, at least, talking about how they want to move all their workloads to Kubernetes; that they can’t efficiently manage their applications without it. …
These news articles were originally published on The Chief I/O Cloud Native news.
Kubernetes: Malicious Actors Exploiting Misconfigured Argo Workflows
Intezer, on July 20, 2021, raised to public awareness a string of cyberassaults involving Argo’s web dashboard on Kubernetes clusters.
- The perceived endgame of these strings of operations is Monero mining.
- Intezer has spotted affected nodes, and thanks to hundreds of misconfigured installations, there is the possibility of larger-scale attacks.
- Kubernetes (K8s) clusters, being the primary influence behind the development of Argo Workflows, are the prime targets.
- The actors are infusing crypto miners into the cloud through easily accessible Argo workflow nodes.
Continue reading this news on Kubernetes: Malicious Actors Exploiting Misconfigured Argo Workflows
AWS Launches OpenSearch Into General Availability: OpenSearch 1.0
These news articles were originally published on The Chief I/O Cloud Native news.
AWS Strengthens Its Cloud-Based Storage Offering
AWS, in a press release, on July 19, 2021, announced the release of a generally available version of Amazon EBS io2 Block Express volumes, a cloud-based Storage Area Network (SAN) that would serve as a frugal, more reliable, and easily manageable alternative to costly on-premises SANS.
- Unlike SANs, customers can now leverage the sub-millisecond latency that comes with the io2 volumes.
- Amazon claims that io2 Block Express volumes are best used for I/O-intensive applications.
- io2 Block Express volumes, for now, can only be employed in AWS regions that support R5b.
- The new service uses a postpaid payment model.
These news articles were originally published on The Chief I/O Cloud Native news.
Researchers Raise the Alarm on the Linux Cryptojacking Campaign
Bitdefender security researchers have uncovered threat activity originating back to at least 2020. The Romanian threat actors’ perceived objective is to infect Linux systems with Monero mining malware.
- SSH machines written in Golang have been reported as prime targets.
- The report has ascertained Dilicot brute as the password cracking software.
- It is believed that they have bags of underhanded tricks they use to maintain a low profile.
Continue reading this news on Researchers Raise the Alarm on the Linux Cryptojacking Campaign
Cyber Espionage Group Adopting Brute-Force Tactics With Kubernetes Clusters
In early July, the US and UK authorities uncovered a brute-force dark web campaign launched by hackers related to…
Adopting containers and Kubernetes in production increases security threats mostly from human error, and vulnerabilities of all sorts cripple the confidence organizations have in their production environment. This annual report, initially conducted by Stackrox and now acquired by Redhat, explores the Kubernetes and container market, focusing on security-as, the leading challenge faced with the technologies.
This article was originally published on The Chief I/O: State of Kubernetes Security Report
The report questions Kubernetes and cloud native professionals to assess the rate of adoption of the technologies and the security challenges accompanied by them.
This year’s edition presents survey results from over 500 respondents, with the majority of them being product development, engineering, and operations personnel.
25% of the respondents work in companies with 1–100 company size while 24% and 21% work in companies within the sizes of 101–1000 and 10,000+ respectively- with preponderance (54%) of the companies in the Education industry.
For the 2021 edition…
MLOps is a relatively new but rapidly growing practice. The books highlighted in this article provide practical guides to understand the practice as a machine learning project stakeholder and enable your ML workflows’ practices.
This article was originally published on The Chief I/O: Best 9 Books To Start Your MLOps Journey
MLOps is a systematic operationalization of machine learning workflows. It is the practice of applying DevOps and ITOps practice to data science, AI, machine learning workflows to make the process efficient, flexible, reproducible, and manageable.
This article is a handpicked list of some of the best books you should read as a data scientist, machine learning engineer, DevOps engineer, and project manager to learn about the practice and practically apply it to machine learning workflows.
Accelerated DevOps with AI, ML & RPA: Non-Programmer’s Guide to AIOPS & MLOPS” by Stephen Fleming
Running Kubernetes locally is a great way to try out and ensure that your applications run on the most used container orchestration platform in production. A local Kubernetes tool like minikube is needed for this. This article provides an array of options to choose from and a simple comparison to help you make an informed decision while at it.
This article was originally published on The Chief I/O: K3d vs k3s vs Kind vs Microk8s vs Minikube
Developed by Google, Kubernetes is an open source platform for automating deployment, scaling, management, and orchestration of containerized applications. It offers an easy system for managing containers across multiple servers with polished load balancing and resource allocation to ensure each application runs optimally.
Although Kubernetes is built to run in the cloud, IT professionals and developers run it on their local computers for various reasons. Running it locally helps them to quickly try the technology out to “feel the waters” without getting…
The DevOps career promises a steady growth process with extensive learning opportunities; understanding the end-to-end software development lifecycle. This article addresses the misconceptions about the DevOps career, the roles, and technologies involved, as well as the future of DevOps as a career path.
This article was originally published on The Chief I/O: Demystifying The DevOps Career
The traditional software development life cycle involves two primary teams: the software development team and the IT operations team. The software development team develops the application and tests it on their machine while the IT operations teams deploy the code, configure and manage the servers. A DevOps Engineer sits right between these two teams.
More than a job, DevOps, in itself, is a mindset, a culture, and a set of practices that encourages the development and operations team to work collaboratively for more productivity and improved business…
Service meshes solve the traffic management, security, and observability challenges introduced by microservices and distributed architecture. Istio, Linkerd, and Consul are three matured tools with highly customizable and advanced features. At the same time, other tools highlighted in this article also offer lightweight and efficient capabilities to manage traffic management in microservices.
This article was originally published on The Chief I/O: Top 14 Kubernetes Service Meshes
Microservice, Kubernetes, and distributed architecture have become a norm for scalable applications and enterprise business solutions. With distributed services, managing the communication and networking between each service is difficult — and service meshes prove to help solve it.
Service Meshes uses a proxy to provide a dedicated infrastructure layer for facilitating and securing service-to-service communication between microservices.
Service meshes’ typical architecture uses a sidecar container in each service to provide seamless communication, configuration, and security. …
