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Messaging is hard. Doing it well is even harder. Being the best requires things most companies do not have.
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The first distributed messaging system designed for challenges in Big Data, Machine Learning, and Artificial Intelligence.
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Recent Blog
Apache Pulsar’s Role in the Future of AI and ML The future of AI and ML is of great interest to many different people across verticals. Everyone, ranging from business leaders and engineers to dev-ops and data architects, is interested in technologies that can enable AI and ML. AI and ML offer way too many […]
Distributed Messaging, Apache Pulsar, and Accelerating ML Initiatives A discussion with Pandio’s CTO Josh Odmark The following transcript was recorded from a conversation between Matt Rall and Josh Odmark on the Pandio Podcast, if you are interested in listening to the full episode, it can be found here. Matt: On our podcast today I would […]
5 Reasons Most Machine Learning Initiatives Fail and How to Fix Them Machine learning and artificial intelligence (AI): They’re more than just buzz words. Today, companies that successfully adopt machine learning and AI have opportunities to scale their businesses at unprecedented levels, offering next-level, customized, intelligent services for clients. Unfortunately, many companies shy away from […]
Want to Be a Data-Driven Organization? First, Leave the Data Alone No company is an island, certainly not when it comes to data. Through a web of partners and customers, not to mention various internal systems, a vast amount of information is generated on an almost constant basis throughout this network. The good news is […]
Apache Pulsar: Save Money with Cloud-Optimized Tiered Storage Developers of enterprise software are using distributed cloud hardware configured with Apache Pulsar and BookKeeper to save money using tiered storage plans. On public cloud platforms, AWS, Google, and Microsoft Azure all offer high-volume business users the ability to access multiple types of storage facilities according to […]
How Apache Pulsar Stores Data with BookKeeper and ZooKeeper Apache Pulsar implements a streaming event architecture that can be used in a Software-Defined Data Center (SDDC) with Apache BookKeeper and ZooKeeper tools. Quick Summary: In 2020, most enterprise cloud software development teams are deploying with AWS EC2, Kubernetes, and Microsoft Azure platform solutions. Virtualization enables […]
Why IoT Trends Make Pandio (Powered by Apache Pulsar) the Right Choice IoT (Internet of things) is the future of technology automation. The IoT use case requires a different type of processing due to the following characteristics: The high volume of streaming data from multiple sources Requires support for time-series data The need to provide […]
Why Apache Pulsar Is Increasingly Used to Power Financial Services Applications Today, successful financial service applications demand absolute data integrity, among other strict requirements. For example, an application like Bestpay, which processes billions of transactions every day, must implement a transaction processing pipeline that is built on a messaging platform that guarantees zero data loss. […]
The Top Five Ways for Two Back-end Systems to Communicate using Apache Pulsar Software engineers often talk about front-end and back-end systems. The front-end system is more like a user or the GUI that the client uses to interact with the web application. It is usually created using front-end technology such as HTML, CSS, and […]
How Apache Pulsar Functions are Enablers for ML and Event Stream Processing Apache Pulsar functions allow programmers to script automated data processing of event streams and messages on cloud TPU/GPU hardware for AI/ML/DL functionality support using custom-written code in Java, Python, or Go. Many developers are also using Apache Pulsar for Serverless computing implementation after […]