The New Stack Podcast

In this New Stack Makers, Codiac aims to simplify app deployment on Kubernetes by offering a unified interface that minimizes complexity. Traditionally, Kubernetes is powerful but challenging for teams due to its intricate configurations and extensive manual coding. Co-founded by Ben Ghazi and Mark Freydl, Codiac provides engineers with infrastructure on demand, container management, and advanced software development life cycle (SDLC) tools, making Kubernetes more accessible.Codiac’s interface streamlines continuous integration and deployment (CI/CD), reducing deployment steps to a single line of code within CI/CD pipelines. Developers can easily deploy, manage containers, and configure applications without mastering Kubernetes' esoteric syntax. Codiac also offers features like "cabinets" to organize assets across multi-cloud environments and enables repeatable processes through snapshots, making cluster management smoother.For experienced engineers, Codiac alleviates the burden of manually managing YAML files and configuring multiple services. With ephemeral clusters and repeatable snapshots, Codiac supports scalable, reproducible development workflows, giving engineers a practical way to manage applications and infrastructure seamlessly across complex Kubernetes environments.Learn more from The New Stack about deploying applications on Kubernetes:Kubernetes Needs to Take a Lesson from Portainer on Ease-of-Use Three Common Kubernetes Challenges and How to Solve Them Join our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Valkey, an open-source fork of Redis launched in March, introduced its multithreaded Version 8.0 in September, now available through AWS ElastiCache. At All Things Open 2024 in Raleigh, AWS's Kyle Davis explains that Valkey was developed after Redis changed to a restrictive license, drawing contributors from companies like AWS, Google, Alibaba, and Oracle. Notably, some contributors emerged independently, including a significant contributor from Vietnam. Version 8.0 differentiates itself from Redis by leveraging multithreaded CPUs, addressing the efficiency of I/O operations in modern hardware. Additionally, data structure refinements were made to improve memory efficiency by up to 20%, particularly benefiting large-key databases.Looking ahead, Valkey plans two annual updates, with the next release expected in 2025. New modules are anticipated, including a JSON module for efficient data manipulation and a Bloom filter for probabilistic data presence checks. Version 9.0 may bring substantial changes to clustering, updating it to better leverage modern technologies. The Valkey project aims to continue evolving its capabilities to meet the demands of advanced data storage needs.Learn more from The New Stack about Valkey: Valkey Is a Different Kind of Fork AWS Adds Support, Drops Prices, for Redis-Forked Valkey Valkey: A Redis Fork With a Future Join our community of newsletter subscribers to stay on top of the news and at the top of your game.   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Deb Nicholson, executive director of the Python Software Foundation, attributes Python’s popularity to its minimal syntactical complexity, which appeals to beginners and seasoned developers alike. Python allows flexibility for those exploring coding without a specific focus, unlike purpose-built languages. Since her leadership began in 2022, Nicholson has overseen the foundation’s role in managing Python’s fiscal and operational needs, including the package index that hosts over half a million add-ons. This open ecosystem enables contributions from large corporations and individual developers while demanding vigilant security measures.Nicholson envisions Python's future advancements, particularly in improving multi-threading and expanding usage in mobile development. She acknowledges Python’s critical role in AI and data science but remains cautious about AI’s pervasive application, likening it to a temporary trend. On open source in the enterprise, Nicholson critiques companies profiting from open-source tools while adopting restrictive licenses. Instead, she admires models like Red Hat’s, which leverage open source sustainably without compromising accessibility or innovation.Learn more from The New Stack about Python: Python 3.13: Blazing New Trails in Performance and ScaleThe Top 5 Python Packages and What They DoPython Mulls a Change in Version NumberingJoin our community of newsletter subscribers to stay on top of the news and at the top of your game. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Priyanka Sharma, Executive Director of the Cloud Native Computing Foundation, teams up with Joseph Sandoval, Principal Product Manager at Adobe, to discuss the exciting intersection of platform engineering and AI. They highlight how AI will transform platform operations, aiming for better efficiency and user-centered designs. The conversation covers the upcoming KubeCon event, the role of open-source initiatives like CNOE, and essential reference architectures for guiding developers. Explore the growing maturity of platform engineering amidst changing technological landscapes.

Rohit Choudhary, co-founder and CEO of Acceldata, is a visionary in enterprise data observability. He discusses the exponential growth of data driven by generative AI and the complexities of multicloud environments. Choudhary emphasizes the importance of traceability in data management, especially with unstructured data on the rise. He also highlights the challenge of alert fatigue and advocates for improved alert systems in critical sectors like finance and healthcare, showcasing how these issues can shape future data strategies.

Joel Marcey, Director of Technology at the Rust Foundation, shares insights on Rust's remarkable rise as a programming language, praised for its speed and safety. He discusses its ambitious expansion into sectors like game development and embedded systems while underlining its growing role in web applications through WebAssembly. Marcey also explores Rust’s competitive edge over Go in performance-critical tasks, highlights recent updates like Rust 1.81, and reveals government interest in enhancing security initiatives within the Rust ecosystem.

Ashley Williams, founder and CEO of axo, discusses the unsettling reliance on unpaid open-source maintainers for crucial software security. She argues that companies often overlook these maintainers while depending on third-party vendors, exacerbating vulnerabilities. Thomas Depierre weighs in on the reluctance of maintainers to be labeled as software suppliers. The conversation delves into the pressures on maintainers and the need for sustainable funding models in the open-source realm, emphasizing the importance of integrating maintainer perspectives into supply chain strategies.

Xun Wang, the CTO of Bloomreach, shares transformative insights from his time at Nvidia, guided by its founder, Jensen Huang. He emphasizes the need for a structured approach to engineering that mirrors product architecture. Wang discusses the integration of generative AI and its role in enhancing e-commerce through advanced search functionalities. He highlights the importance of continuous learning and adapting to new AI skills while maintaining traditional coding expertise. Curious and detail-oriented, Wang advocates for resilience in a rapidly evolving tech landscape.

Code reviews can be highly beneficial but tricky to execute well due to the human factors involved, says Adrienne Braganza Tacke, author of *Looks Good to Me: Actionable Advice for Constructive Code Review.* In a recent conversation with *The New Stack*, Tacke identified three challenges teams must address for successful code reviews: ambiguity, subjectivity, and ego.Ambiguity arises when the goals or expectations for the code are unclear, leading to miscommunication and rework. Tacke emphasizes the need for clarity and explicit communication throughout the review process. Subjectivity, the second challenge, can derail reviews when personal preferences overshadow objective evaluation. Reviewers should justify their suggestions based on technical merit rather than opinion. Finally, ego can get in the way, with developers feeling attached to their code. Both reviewers and submitters must check their egos to foster a constructive dialogue.Tacke encourages programmers to first review their own work, as self-checks can enhance the quality of the code before it reaches the reviewer. Ultimately, code reviews can improve code quality, mentor developers, and strengthen team knowledge. Learn more from The New Stack about code reviews:The Anatomy of Slow Code Reviews One Company Rethinks Diff to Cut Code Review TimesHow Good Is Your Code Review Process?Join our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In the New Stack Makers episode, Adi Polak, Director, Advocacy and Developer Experience Engineering at Confluent discusses the operational and analytical estates in data infrastructure. The operational estate focuses on fast, low-latency event-driven applications, while the analytical estate handles long-running data crunching tasks. Challenges arise due to the "schema evolution" from upstream operational changes impacting downstream analytics, creating complexity for developers. Apache Iceberg and Flink help mitigate these issues. Iceberg, a table format developed by Netflix, optimizes querying by managing file relationships within a data lake, reducing processing time and errors. It has been widely adopted by major companies like Airbnb and LinkedIn. Apache Flink, a versatile data processing framework, is driving two key trends: shifting some batch processing tasks into stream processing and transitioning microservices into Flink streaming applications. This approach enhances system reliability, lowers latency, and meets customer demands for real-time data, like instant flight status updates. Together, Iceberg and Flink streamline data infrastructure, addressing developer pain points and improving efficiency. Learn more from The New Stack about Apache Iceberg and Flink:Unfreeze Apache Iceberg to Thaw Your Data LakehouseApache Flink: 2023 Retrospective and Glimpse into the Future 4 Reasons Why Developers Should Use Apache Flink Join our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.