Today, we spoke with Daniel Situnayake of Edge Impulse. We discussed AI, machine learning, edge devices, TinyML and AI tool chain.             Sponsorship inquiries: sponsor@softwareengineeringdaily.com

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      Vedran Jukic Toma Puljak Today, we spoke with Toma Puljak and Vedran Jukic of Codeanywhere. We discussed Cloud-based dev environments, Cloud-based IDEs, Infrastructure as code, Dev containers and Live collaboration.                Sponsorship inquiries: sponsor@softwareengineeringdaily.com

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The default configuration in most databases is meant for broad compatibility rather than performance. Database tuning is a process in which the configurations of a database are modified to achieve optimal performance. Databases have hundreds of configuration knobs that control various factors, such as the amount of memory to use for caches or how often

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Cloud computing provides tools, storage, servers, and software products through the internet. Securing these resources is a constant process for companies deploying new code to their cloud environments. It’s easy to overlook security flaws because company applications are very complex and many people work together to develop them. Wyze Labs, for example, had millions of

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Originally published on January 1, 2022. Charlie Gerard is an incredibly productive developer.  In addition to being the author of Practical Machine Learning in JavaScript, her website charliegerard.dev has a long list of really interesting side projects exploring the intersection of human computer interaction, computer vision, interactivity, and art.  In this episode we touch on

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Software engineering can be a surprisingly grueling career. It is both physically and mentally demanding to sit in front of a screen for hours on end producing code. Andy Johns is our guest in this episode. Andy previously worked on growth at Facebook, Twitter, and Quora as an early employee. He’s also an investor in

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Data analytics technology and tools have seen significant improvements in the past decade. But, it can still take weeks to prototype, build and deploy new transformations and deployments, usually requiring considerable engineering resources. Plus, most data isn’t real-time. Instead, most of it is still batch-processed. Tinybird Analytics provides an easy way to ingest and query

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Originally published on August 23, 2021. Application security is usually done with a set of tools and services known as SIEM – Security Information and Event Management. SIEM tools usually try to provide visibility into an organization’s security systems, as well as event log management and security event notifications.  The company Panther takes traditional SIEM

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Maintaining availability in a modern digital application is critical to keeping your application operating and available and to keep meeting your customers growing demands. There are many observability platforms out there and certainly Prometheus is a popular open source solution for cloud native companies yet operating an observability platform, costs money, and all of the

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As software engineering teams start to build products that become more and more mature, it becomes necessary to be able to debug complex issues with tooling that enables understanding of the full scenario. This can come from application scenarios where APIs are running multiple versions, where users are using your app from multiple devices, device

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Web infrastructure has evolved from individual servers to shared hosting services to virtual machines and virtual functions. The future of the internet however is looking toward a much more distributed computation model . Blockchain technology is central to the future of this modern internet . Blockchains are still in their infancy.  And the most people

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Originally published on April 12, 2022. As companies move to Spark and a Lakehouse architecture, they are realizing that the data tools are lagging way behind.  You need to be a programmer to effectively use Spark and Airflow. There are some low-code ETL tools, but is that enough?  Companies want to treat their data pipelines

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Originally published on February 12, 2022. Lee Atchison spent seven years at Amazon working in retail, software distribution, and Amazon Web Services. He then moved to New Relic, where he has spent four years scaling the company’s internal architecture. From his decade of experience at fast-growing web technology companies, Lee has written the book Architecting

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Data is becoming a bank’s biggest asset. These complex enterprises have a huge opportunity ahead – to transform themselves to become a trusted hub of a much broader data ecosystem that goes beyond the financial industry and helps to form a new class of cross-industry experience architectures that are scalable and transparent. The data physics

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Cloud native applications utilizing microservice architectures has grown into one of the most popular application architectural patterns in recent years. The value of leveraging dynamic cloud resources, along with the flexibility and scalability of microservice architectures, creates a strong paradigm that’s hard to miss. The strong adoption of Kubernetes has strengthened the pattern enormously. The

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