Does Apache Kafka really preserve message ordering?
We’re told that Apache Kafka® preserves message ordering per topic/partition, but how true is that, and how close can we come to making it true?
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InfluxData Achieves ISO 27001 Certification
SAN FRANCISCO – March 21, 2023 – InfluxData, creator of the leading time series platform InfluxDB, today announced it has received the ISO/IEC 27001:2013 certification, a globally recognized standard for Information Security Management Systems (ISMS). The certificate scope comprises the ISMS supporting the operations underlying the InfluxDB database cloud and enterprise offerings. It also includes ISO/IEC 27018:2019 compliance for the protection of personally identifiable information.
Cribl Search 4.1: More Data, More Automation, and a More Intuitive User Interface
It’s been less than 4 months since we released Cribl Search, the first federated query engine focused on observability and security data. The reception has been tremendous. Customers, partners, prospects, and even our internal teams were overjoyed by the initial offering but have been anxiously awaiting the promises of the next release. The wait is over!
How to Get the Current Date and Time in SQL
SQL databases have several functions that reduce the complexity of working with date and time. Using these functions and a date and time type column, you can depend on SQL for the logic to write and read data with date and time. In this post, you’ll learn how to use the SQL date and time functions to get the current date and time.
Create a streaming dataset for Apache Kafka with Docker
Experiencing Apache Kafka without a streaming dataset is impossible, and finding streaming datasets ready to be used with Kafka is quite difficult. This video showcases how you can start creating fake streaming data in minutes using Docker. CHAPTERS ABOUT AIVEN Aiven’s cloud data platform helps your business reach its highest potential by making your data work for you. It provides fully managed open source data infrastructure on all major clouds, helping developers focus on what they do best: innovate and create without worrying about the limitations of technology.
Empowering Platform teams with Portals
Making development teams productive, faster, using platform services and self-service portals like Backstage.
Data Lakehouses: Everything You Need To Know
A data lakehouse is a modern data architecture. It is popular among many organizations that incorporate the features of both data lakes and data warehouses. The features of a data lakehouse make it ideal for a range of data analytics use cases. This article explains data lakehouses, including how they emerged, how they shape up versus data lakes and data warehouses, their architecture, and finally, the pros and cons of using a data lakehouse.
IoT Sensors: What They Are and How to Use Them
For a very long time, businesses in various industries have been using smart sensors. However, with the development of the Internet of Things (IoT), their significance has increased. Sensors represent the beginning of a data collection chain that, when processed by IoT platforms, generates essential insights for assertive decision-making and even for developing new business ideas. Generally, a smart sensor has three main components: This technology is already used in many countries.
Time Series Data, Cardinality, and InfluxDB
In the world of databases, cardinality refers to the number of unique sets of data stored in a database. If we drill down a little further, we can think of cardinality as the total number of unique values possible within a table column or database equivalent. When thinking about time series data, we can ask some specific questions about cardinality. What does cardinality look like in practice? When does cardinality become a problem? How do we prevent cardinality issues?
Observability Data vs Data Observability: What's the Difference?
Fun fact: Observability goes all the way back to the 1960s, coined by scientist Rudolf Kálmán as a way to measure a system through its output. Now, over six decades later, observability has fragmented into several specialized segments — from application observability, to security observability, and everything in between. The two segments driving the most confusion are data observability and observability data.