Open-source software is a cornerstone of modern tech infrastructure, yet its sustainability is often precarious.
In this episode of Data (R)evolution, Josep Prat and Floor Drees join host Francesco Tisiot to dive into the critical need for sustainable open-source. They emphasize the importance of supporting open-source projects to ensure their stability in the linguistic challenges around the word "free" in open source, and they share real-world threats, such as a recent attack on the XZ package. Tune in to learn about the evolving landscape of open source, its challenges, and how we can all contribute to its future security and viability.
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[05:59] Open source promotes transparency; closed source doesn't.
[13:30] JavaScript ecosystem heavily reliant on single maintainers.
[22:42] Encourage open source support from corporations.
[26:11] It’s critical to choose sustainable projects and contribute to open source.
[31:07] EU framework law responds to open source security.
[34:36] How to ensure open source sustainability for community benefit.
At the forefront of everything we do at Aiven, is our customers. And we do this by focusing on enterprise readiness, trust, and compliance, bringing AI closer to daily operations, and allowing customers to leverage their existing cloud agreements.
In this Data (R)evolution episode, we're joined by Oskari Saarenmaa, Aiven’s CEO and Co-Founder, to talk about Aiven's future plans, including the innovative “Bring Your Own Cloud” (BYOC) approach and its potential advantages. We explored key features such as vector search, AI enhancements, and new serve capabilities. Additionally, we looked at Ivan's sustainability efforts and their commitment to reducing the carbon footprint of their services. This episode is filled with technical insights and forward-thinking ideas.
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03:47 Founders started consulting, saw need for scalability
08:29 Cloud growth challenges open source business models
10:21 EverSQL optimizes databases, helps users with performance
15:06 Engineer initiated carbon footprint tracking for product
17:26 Enterprise evolution from self-service to platform
25:31 Aiven offers diverse AI tools and technologies
29:09 Developing PGAas with visual identity, technical features
32:19 Basic technical tooling, trust, experience enable partnership
33:29 Acknowledgment of role and sustainability in business
Navigating the startup landscape in the cloud era is crucial. But luckily, the Aiven platform empowers startups to succeed in this competitive and dynamic environment.
In this Data (R)evolution episode, Aiven’s Ian Massingham and Angie Byron discuss the transformative impact of cloud computing on startups and the benefits of leveraging open-source technology. They dive into the common challenges early-stage startups face, the importance of agility and flexibility in scaling, and the role of Aiven's Cluster program in supporting startup growth. Our discussion highlights the synergy between open-source best practices, multi-cloud capabilities, and the strategic allocation of resources—essential factors for thriving in the modern startup ecosystem.
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00:00 Startup market transformed by affordable cloud technology
03:43 Open source and startups create a great mix
08:13 Aiven provides data infrastructure for cloud services
10:33 Aiven streamlines open source tech for efficiency
15:06 Startups benefit from agile cloud and open-source
16:59 The Cluster program supports startups with resources and mentoring
The complexities of real-time data streaming and auto-scaling in the cloud are no joke. But three are solutions to make it more simple and efficient.
In this Data (R)evolution episode, Matan Mizrahi and Filip Yonov join us to discuss how Kafka effectively handles and optimizes data streams, the pursuit of standardized APIs, and the vital role of AI in optimizing complex systems. They also share how AI and open-source tools are transforming the landscape. Tune in to hear about the evolution of data streaming and the transformative impact of AI and cloud-native solutions.
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05:13 Challenges in running and optimizing streaming systems
09:10 Using stream data to produce and consume
12:22 Product manager solves customer problems with new capabilities
16:10 Agreement on system complexity and standard API
18:22 Kafka not yet fully cloud native
23:30 Simplifying cloud setup through productization and self-service
26:17 Hope for AI integration with Kafka, improved management
28:24 AI optimizations, reduce customer pain, lower barriers
32:05 Matan emphasized importance of experience and knowledge
Modernizing platforms for the AI-driven future is essential. The Aiven platform empowers businesses to thrive in this ever-evolving digital landscape.
In this Data (R)evolution episode, Aiven’s Bob Krygowski and Stu Garrow explain why trust is the cornerstone of successful data platforms and the importance of managing multiple initiatives. They tackle the challenges of scaling a company, the role of organizational sponsorship, and the innovative "Bring Your Own Cloud" (BYOC) concept. Our discussion covers multi-cloud flexibility, open-source technology, and cloud portability—key elements for modernizing platforms in an AI-driven future.
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[03:56] Data platform enables trust and accessibility
[08:35] Aiven’s platform enables, supports, and modernizes products
[13:38] Security, compliance, and cost savings in multi-cloud
[19:52] Utilize multiple cloud providers for optimal solutions
[23:08] Customer self-service workflow simplifies cloud implementation
[26:20] Abstraction simplifies the complexity of data initiatives
[32:06] Open source solves multi-cloud problems and democratizes skills
[33:47] Open source enables developer skillset progression
[37:48] New initiatives will require data for success
Utilizing the true potential of data streaming is key to business success.
In this Data (R)evolution episode, we're joined by Josep Prat and Filip Yonov to dive into the transformative features of Apache Kafka and its evolving role in data architecture. They discuss the critical importance of collaboration and feedback in enhancing Kafka's capabilities, the future of "lake house" technology, exciting updates from the Open Source Program Office (OSPO), and the importance of Kafka's readiness to support evolving data formats—making it a backbone for modern data ecosystems.
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[05:49] Kafka servers have theoretical storage limits
[09:29] Test storage proposal process for Apache Kafka
[17:38] LinkedIn conducted an experiment merging Xcode versions
[22:11] Data lake evolving into lake house architectures
[25:00] Broker pushes data to remote storage, plugin handles retrieval and format translation
[26:40] Kafka excels at high-speed, high-volume data
[32:18] Kafka data consumption evolving with new options
[40:19] Managing metadata for conversion on community level
[47:45] Kafka's potential as a widely used API
Adopting cloud technology to gain velocity and agility in the marketplace allows companies to focus on what matters most. However, this transition isn't without its risks.
In this episode of Data (R)evolution, hosts Janki Patel Westenberg and Francesco Tisiot are joined by Dave Li, previous Senior Software Engineer at Helthjem, and Oded Valin, Co-Founder & CEO at EverSQL, to discuss the application of AI in database management, the importance of expertise in cloud adoption, and the need for streamlined tools in an increasingly data-driven world.
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[03:36] Why cloud adoption is beneficial for smaller companies
[07:45] The hidden costs and expertise required for Cloud
[17:57] Why human involvement will always be necessary in the manual parcel delivery process
[28:32] Automate SQL optimization for inexperienced database users
[34:34] Janki and Francesco’s top takeaways
In a world that's increasingly dependent on digital ecosystems, how do you ensure that your platform stands up to the demands of security and compliance?
In this episode of Data (R)evolution, we are joined by Jamie Arlen, Aiven's CISO, and Chris Hill, CISO at Avaya. With rising demands for transparency and data security, Jamie and Chris discuss maintaining compliance with standards like Fedramp, PCI, GDPR, and HIPAA, while emphasizing the need for trust within teams and partnerships, proactive preparation for security incidents, and the continuous effort required for maintaining compliance and security.
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[08:21] Auditors need receipts for provable compliance
[12:04] Create a detective team that prevents and responds to threats
[13:08] Teamwork allows you to progress rapidly in a short period of time
[18:15] Prepare for bad days and maintain compliance readiness
[20:30] The difference between resilience and reliability
[23:21] Use observability platforms to monitor threats
[30:44] Practical information sharing for common understanding
[33:21] Adapting operations for US government compliance expectations
[42:48] Janki and Francesco’s top takeaways
In the world of software development, caching is a crucial yet complex component. What happens when one of the most popular caching systems, Redis, changes its license, sending shockwaves through the community? And how does a company pivot to not one but two solutions to ensure high-performance data management?
Today's discussion dives deep into one of the most critical and often-overlooked components of the software industry—caching. Our hosts sit down with Josep Prat, the Director of the Open Source Program Office at Aiven, and John Kennedy, the Head of Databases, to explore the complexities of caching, the recent Redis license change, and their pioneering work with Dragonfly and the Valkey project.
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[01:00] Caching is a complex problem in IT
[04:38] Redis license changed, causing repercussions for users
[07:40] Subset of users not allowed to use Redis, seeking Valkey alternative under Linux Foundation
[12:00] Dragonfly accelerates evolving projects and offers a smooth transition
[14:31] Josep discusses Valkey Fork, Linux Foundation, Redis, and Dragonfly
Imagine a world where databases not only store vast amounts of data but autonomously optimize themselves, predict future trends, and seamlessly integrate with AI.
In this Data (R)evolution episode, we share a fascinating conversation with Soumya Bijjal, the VP of Product at Aiven, and John Joseph Kennedy, the Head of Databases at Aiven, about the future of AI, databases, and data platforms. They dissect the current AI landscape, the challenges companies face, and the transformative potential of integrating AI with data systems.
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[01:28] Soumya’s feelings towards AI
[06:34] Stream processing tech offers trial and error
[08:37] Data quality, trust, and AI optimization impact
[12:21] Balancing new technologies while ensuring production safety
[14:49] The EverSQL acquisition
[18:17] Janki and Francesco’s top takeaways
Data is the fuel that ignites innovation and revolutionizes our world. It’s potent. It’s undeniable. It’s the driving force for our future.
Data (R)evolution, powered by Aiven, explores the intersections of data, innovation, and economics through the ever-evolving landscape of cloud technology. Hosts Janki Patel Westenberg and Francesco Tisiot navigate the currents of this digital revolution in thought-provoking conversations with experts at the forefront of change. The future of data is evolving quickly. Join us every Tuesday to stay on the cutting edge.
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