Eden Marco

KubeBlocks is an open-source Kubernetes operator that manages relational, NoSQL, vector, and streaming databases on the public cloud or on-premise. It is designed for production, providing reliable, performant, cost-effective data infrastructure. More: https://ku.bz/qdGCY6v18

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𝐈𝐬 𝐑𝐮𝐬𝐭 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐀𝐩𝐚𝐜𝐡𝐞 𝐈𝐜𝐞𝐛𝐞𝐫𝐠? At the recent Iceberg Meetup in Tel Aviv, Amit Gilad shared his benchmark results: By running compaction in Rust instead of a distributed engine like Spark, he completed the process much faster while reducing costs by 90%! The results speak for themselves: 𝐊𝐞𝐲 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 Speed Comparison: Amazon Athena – 61s Rust Compactor – 186s Apache Spark – 1800s (30 mins!) 🔥 Rust is significantly faster than Spark and only slightly behind Athena. Cost per 1TB Compaction Sort: S3 Tables – $50 Tabular (Databricks) – $50 Rust Compactor – $5 🔥 Rust is 10x cheaper than the alternatives! 𝐖𝐡𝐲 𝐓𝐡𝐢𝐬 𝐌𝐚𝐭𝐭𝐞𝐫𝐬 Rust-based compaction is blazing fast and cost-effective. At RisingWave, we started using Rust for our Iceberg integration two years ago and continue to invest in the Iceberg-Rust project. We’re excited to see more details from Amit Gilad about his benchmark, code, and setup! Want efficient Apache Iceberg? Try Iceberg-Rust! 👉 https://lnkd.in/g_kxH8De #Rust #Iceberg #ApacheIceberg #DataEngineering

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Kubeshark, the API Traffic Viewer for kubernetes, provides deep visibility and monitoring of all API traffic and payloads going in, out and across containers and pods inside a Kubernetes cluster. More: https://ku.bz/JhSsXlfZ4

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"Just write to ScyllaDB and it all just works. The amount of time we spend on infrastructure management has significantly decreased.” - Naveed Khan, Head of Engineering, Blitz. See how replacing Postgres with #ScyllaDB Cloud improved the user experience while simplifying life for their engineering teams. https://lnkd.in/e47Ddrtw

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This article experiments with running a MariaDB Galera cluster on a $150 Kubernetes lab built from Orange Pi boards. It details installing K3s, deploying the MariaDB Kubernetes Operator, tuning resource limits for small SBCs. More: https://ku.bz/j_8-vP3jy

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🤩 What's new in Kong Mesh? The latest update includes: ✅ Updates for Amazon ECS and Route 53 support ✅ Reduced Privileges for Mesh Set-Up ✅ Incremental Configuration Propagation Check out our recent blog to learn more: https://bit.ly/4jYLFjg

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We just open-sourced FuzzBerg - a #fuzzing framework built for Apache Iceberg 🧊 While there are available fuzzers for individual file formats like Parquet or Avro, FuzzBerg is the first (to our knowledge) #opensource fuzzer which fuzzes all of Iceberg table format holistically properly handling account metadata and snapshots. We already used it to improve Firebolt's own #Iceberg support (and found some "fun" surprises along the way). Now we're sharing it with the community. 🧩 📖 More in the blog by Abhishek Sen: https://lnkd.in/dS59r-65

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𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭’𝐬 #𝐑𝐮𝐬𝐭 𝐁𝐞𝐭: 𝐅𝐫𝐨𝐦 𝐁𝐥𝐮𝐞 𝐒𝐜𝐫𝐞𝐞𝐧𝐬 𝐭𝐨 𝐒𝐚𝐟𝐞𝐫 𝐂𝐨𝐝𝐞 At RustConf, Mark Russinovich shared how deeply Microsoft is leaning into Rust to replace unsafe C/C++ in critical systems. This isn’t just about developer preference - it’s about making the world’s most widely used software safer and more reliable. Over the past few years, Rust has gone from being a "promising new language" to a serious player in modern software engineering. What makes this shift so interesting for professionals is not just hype, but the technical depth driving adoption across industries. - 𝗠𝗲𝗺𝗼𝗿𝘆 𝗦𝗮𝗳𝗲𝘁𝘆 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗚𝗮𝗿𝗯𝗮𝗴𝗲 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻: Rust's ownership model eliminates entire classes of runtime errors (null pointers, data races) while keeping performance close to C/C++. This isn't just a productivity boost - it's an engineering paradigm shift. - 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗧𝗵𝗮𝘁 𝗦𝗰𝗮𝗹𝗲𝘀: From cloud infrastructure to embedded devices, Rust consistently delivers low-level control with high-level ergonomics. Companies migrating critical workloads report reduced latency, lower resource usage, and stronger reliability. - 𝗚𝗿𝗼𝘄𝗶𝗻𝗴 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺: Crates io now provides robust libraries for networking, async programming, cryptography, and machine learning. What was once a "systems-only" language is now powering full-stack solutions, from APIs to blockchain. - 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗯𝘆 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗟𝗲𝗮𝗱𝗲𝗿𝘀: Amazon, Microsoft, and Cloudflare are investing in Rust at scale. The language is now part of Linux kernel development - a milestone that speaks volumes about long-term viability. - 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: Tooling (Cargo, Clippy, Rust Analyzer) sets a standard that many seasoned developers wish they had in other languages. Strong documentation and a culture of mentorship also make Rust a welcoming ecosystem. As professionals, we're entering a new stage: - Rust is no longer the "language of enthusiasts". - It is becoming the language of critical systems. - It's a strategic choice for long-term resilience. For Rust engineers, this is both validation and opportunity. Whether you're building secure backend services, optimizing cloud infrastructure, or contributing to open source, the language's trajectory suggests that deep Rust expertise will remain in high demand for years ahead. The full release link in the comments 👇

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Kubernetes on cloud should be fast and easy. Developers should not need to figure out how to use clunky features to get to the real work. Easy self-service makes it possible for developers to quickly: – build OCI-compliant images from source code – deploy containerized workloads — the GitOps way – automatically update container images of workloads – publicly expose applications – get instant access to logs, metrics, and traces – create and manage secrets – store images in a private registry – create private Git repositories and use built-in CI/CD pipelines Check out what ease-of-use looks like in the Akamai App Platform: https://ow.ly/WxJG50WuSn9

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Terraform Provider for Google Cloud 7.0 is now GA! This release brings new security-first features like ephemeral resources and write-only attributes, helping you manage sensitive data more safely in your Terraform workflows. Learn what’s new and how to upgrade: https://bit.ly/4lMIk80

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#GTC25: Managing AI workloads with Kubernetes can be complex – dstack makes it simple. See how this open-source alternative streamlines container orchestration for AI teams on Vultr with NVIDIA GPUs. Andrey Cheptsov shares a demo! 📍 Booth 1533 | March 20 | 3:30 PM"

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The latest YugabyteDB preview release supports PostgreSQL 15 and includes many new, long-awaited features.🏆 This blog from Yugabyte expert Franck Pachot discusses the top 15 features in YugabyteDB 2.25 (from PG12 to PG15) that will significantly benefit developers.💡⬇️ https://hubs.la/Q034RNy70 #YugabyteDB #PostgreSQL #PG15 #distributedsql #cloudnative #newrelease

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