Artificial Intelligence (AI) and Kubernetes are pillars of modern technology, each contributing significantly to innovation and efficiency. With AI adoption skyrocketing across industries, the demand for robust infrastructure to support AI workloads has surged. According to a recent report by Gartner, global spending on AI is projected to reach $297 billion by 2027 from $124 billion in 2022, with businesses increasingly investing in AI-driven solutions to gain a competitive edge. Concurrently, Kubernetes has emerged as the de facto standard for container orchestration, witnessing a remarkable ..read more

Kubernetes has transformed container Orchestration, providing an effective framework for delivering and managing applications at scale. However, efficient storage management is essential to guarantee the dependability, security, and efficiency of your Kubernetes clusters. Benefits like data loss prevention, regulations compliance, and maintaining operational continuity mitigating threats underscore the importance of security and dependability.   This post will examine the best practices for the top 10 Kubernetes storage, emphasizing encryption, access control, and safeguarding storag ..read more

You wouldn’t leave the keys to your house in the keyhole when leaving for work, do you? The same goes for your secrets like passwords, certifications, credentials, and other confidential information. Yet most organizations are either struggling or overlooking secrets management. As per the State of Secrets Management 2024 report, 96% of organizations are at risk of security breaches due to improper handling of secrets.  The threat arises from secrets stored in vulnerable areas like repositories and infrastructure tools. Securing secrets effectively is a complicated process due to the expa ..read more

In an era where digital transformation dictates the pace and structure of work, remote teams have emerged as a pivotal element of global business operations. The shift from traditional office environments to digital workspaces has spotlighted the paramount importance of effective communication. Mastering this domain is critical for maintaining productivity, fostering collaboration, and nurturing team cohesion across geographical divides. This article delves into essential tools and strategies that remote teams can leverage to achieve unparalleled communication efficiency. Embracing Digital Com ..read more

As a data scientist or machine learning engineer, you’re constantly challenged with building accurate models and deploying and scaling them effectively. The demand for AI-driven solutions is skyrocketing, and mastering the art of scaling machine learning (ML) applications has become more critical than ever. This is where Kubernetes emerges as a game-changer, often abbreviated as K8s. In this blog, we’ll see how you can leverage Kubernetes to scale machine learning applications. Understanding Kubernetes for ML applications Kubernetes or K8s provides a framework for automating the deployment and ..read more

Dive into the future of Kubernetes and cloud-native technologies in our interview with Laurent Gil, Co-Founder and Chief Product Officer at Cast AI, at KubeCon. Discover the latest trends, groundbreaking projects at Cast, and how they’re revolutionizing cost efficiency in the cloud. Laurent shares his insights on cutting costs by half and Cast AI’s exciting role in the evolving Kubernetes landscape. The post Recap KubeCon + CloudNativeCon Europe 2024 with CAst AI appeared first on Amazic ..read more

Agile processes, prioritizing speed, quality, and efficiency, are gradually replacing traditional software development and deployment methods in the age of rapid software delivery. CI/CD has become a fundamental component of contemporary software development, allowing teams to automate the processes of building, testing, and deploying software. The pipeline facilitates the flow of code changes from development to production and is the central component of continuous integration and delivery (CI/CD). Recent studies like “State of DevOps” highlight that the most common DevOps practices are conti ..read more

Gone are the days when hardware security was enough to secure the workloads running on a server. Today, the people who own the servers (the cloud vendors) and the people who run workloads on them (you) are not the same person. Anjuna empowers organization to take responsibility for their own cloud security by enabling confidential computing for any organization. Listen in as Steve Van Lare, VP of Engineering at Anjuna describes this for us. The post Anjuna simplifies confidential computing to secure cloud workloads appeared first on Amazic ..read more

Observability data can be voluminous, and riddled with false positives. Edge Delta has a realistic view of AI. David Wynn, Principal Solution Architect at Edge Delta, joins us to talk about how you can gain value from observability data with AI. Whether it’s to find important but hidden error messages or build complex queries easily – Edge Delta is out to bolster observability using AI. The post Edge Delta simplifies observability with the power of AI appeared first on Amazic ..read more

Not long ago, Kubernetes aimed primarily to serve stateless workloads. With the steady increase in projects that focus on big data processing, the role of Kubernetes changed accordingly. More and more projects utilize Kubernetes to operate stateful applications that demand persistent storage. Databases, Data Lakes as well as applications that require fast filesystems as a backbone for the processing of their information find their sweet spot in Kubernetes. In this article, we’ll explore what’s important when running data workloads on Kubernetes. Context & starting point Before diving into ..read more