How eBPF unlocks cloud native innovation
By allowing Linux kernel capabilities to be extended without changing kernel source code, eBPF is bringing faster innovation, more efficient networking, and greater performance and scalability to the cloud native stack.
What’s new in Apache Cassandra 4.1
Cassandra 4.1 makes the distributed database built for internet companies easier to configure and manage for new users, and delivers new storage, network encryption, and authentication options. ACID transactions are on the way.
Cloud trends 2023: Cost management surpasses security as top priority
Flexera’s annual survey of cloud decision-makers tracks the top priorities and challenges of cloud-using companies, and the latest trends in the public, private, and multicloud market. Here are the highlights of the 2023 report.
Building the component model for Wasm
The WebAssembly component model lays the groundwork for a language-agnostic component system, one that allows any Wasm application to use components written in any programming language.
Next-gen data engines transform metadata performance
New data engine architectures such as Speedb boost metadata performance, reduce latency, accelerate search time, and optimize CPU consumption. Here’s how.
Optimizing metadata performance for web-scale applications
Data engines such as RocksDB are playing an increasingly important role in preventing metadata-access bottlenecks that may impact the performance of large-scale systems. Here’s what you need to know.
Avoiding vendor lock-in and the data gravity trap
One of the primary reasons companies fail to innovate is that they are locked into a specific vendor’s technology. Watch out for these pitfalls.
How Aerospike Document Database supports real-time applications
Document databases offer a wonderfully flexible data model that often leads to scaling and performance issues. Here’s how Aerospike overcomes these challenges.
The role of the database in edge computing
Edge computing is about distributing data storage and processing. A next-gen, edge-ready database is key to keeping data consistent and in sync across the cloud, edge, and client tiers.
5 key new features in SingleStoreDB 8.0
The latest release of the unified database for transactional and analytical processing brings real-time analytics for JSON data, Wasm support, dynamic scaling, and security and UX improvements.
Server-side rendering is having a moment
React-based frameworks that render web pages on the server could paradoxically be the future of front-end development. Here’s why.
The tip of the data science iceberg
Data science is already a vital element of a successful business. Before long it will be part of every application, and AI will be embedded in every transaction workflow.
The mark of a healthy engineering culture
The primary benefit of healthy engineering culture is predictability—the ability to ship high-quality software on time, reliably and repeatedly. It flows from the bottom up.
Web 3.0 doesn’t need a blockchain revolution
Internet users want control over their data and visibility into how their data is being used. An evolution of today’s web, already mapped out by Sir Tim Berners-Lee, can provide both.
Compactor: A hidden engine of database performance
The compactor handles critical post-ingestion and pre-query workloads in the background on a separate server, enabling low latency for data ingestion and high performance for queries.
Developer experience will take center stage in 2023
Retaining engineering talent will be a top priority in the coming year. And traditional developer productivity management approaches will be kicked to the curb.
Using deduplication for eventually consistent transactions
Deduplication is an effective alternative to transactions for eventually consistent use cases of a distributed database. Here’s why.
Moving IoT data with MQTT
Billions of connected devices need to communicate and move data effectively across networks and cloud platforms. Here’s why MQTT is the standard protocol.
Time series forecasting with ARMA and InfluxDB
Autoregressive moving average models have a number of advantages including simplicity. Here’s how to use an ARMA model with InfluxDB.
Time series forecasting with XGBoost and InfluxDB
XGBoost is a popular open source machine learning library that can be used to solve all kinds of prediction problems. Here’s how to use XGBoost with InfluxDB.
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