Operations | Monitoring | ITSM | DevOps | Cloud

Data Management Strategy: Best Practices to Choose

With data being the cornerstone of organizational growth, your data management strategy is integral to your business's success. Data is valued as much as human capital in today's business world: both are key factors contributing to the overall productivity of a company's strategy. Companies have to take simple steps to collect, manage, and analyze various data to run their operations successfully and efficiently.

Transforming Data Analysis: Exploring The Latest Advancements in Extraction Capabilities

The digital age has ushered in a massive influx of data from various sources. As data continues to grow in volume and complexity, the need for effective data extraction tools that can help us glean actionable insights from this information is more pressing than ever. In fact, the process of data extraction has evolved significantly over the years, moving from rudimentary manual procedures to sophisticated automated systems.

Querying and Writing to InfluxDB Cloud and the Status of Client Libraries

InfluxDB 3.0 is a versatile time series database built on top of the Apache ecosystem. The 3.0 product suite includes two cloud-based versions: InfluxDB Cloud Serverless, and InfluxDB Cloud Dedicated. For the purposes of this post, InfluxDB Cloud refers to these specific versions of InfluxDB. This post provides an update on the status of the client libraries for InfluxDB Cloud, as well as all the available resources to get started querying and writing data to InfluxDB.

What Is A Time-Series Metric?

Today, businesses and organizations rely heavily on metrics and analytics to make informed decisions. Metrics are important whether you’re a developer, a marketer, or the head of a company. One type of metric that is widely used is a time-series metric. Time-series metrics provide insights into how data changes over time. With time-series data, businesses can track trends, detect anomalies, and make predictions.

Data Lake Architecture & The Future of Log Analytics

Organizations are leveraging log analytics in the cloud for a variety of use cases, including application performance monitoring, troubleshooting cloud services, user behavior analysis, security operations and threat hunting, forensic network investigation, and supporting regulatory compliance initiatives. But with enterprise data growing at astronomical rates, organizations are finding it increasingly costly, complex, and time-consuming to capture, securely store, and efficiently analyze their log data.

Storing Secrets with Telegraf

Telegraf is an open source plugin-driven agent for collecting, processing, aggregating, and writing time series data. Telegraf relies on user-provided configuration files to define the various plugins and flow of this data. These configurations may require secrets or other sensitive data. The new secret store plugin type allows a user to store secrets and reference those secrets in their Telegraf configuration file.

Webinar | Achieve lower TCO and keep full control of your data with Aiven's Bring Your Own Cloud

Learn how to get the most out of your public cloud infrastructure spend without losing control of your data. In this webinar, Chris Butler, Senior Solution Architect at Aiven, explains how Aiven’s Bring Your Own Cloud (BYOC) works and what are the benefits it provides.

Digital Leap: Understanding the Transformative Impact of Software on Healthcare

As the world grows increasingly digital, it's clear that no industry remains untouched by the influence of technology, and healthcare is no exception. The integration of software solutions in healthcare, often referred to as digital health, signifies a significant leap in the industry's evolution. It revolutionizes patient care, transforms the way healthcare professionals operate, and introduces efficient mechanisms to manage vast and intricate health data. This article seeks to understand the transformative impact of software on healthcare, focusing on its applications, benefits, and potential future developments.

A Strategic Approach to Replacing Data Historians

Recently, I wrote an article discussing why industrial organizations should migrate from legacy data historians to modern, open source technologies. The reasons for such a migration remain valid; however, it dawned on me that such a heavy-handed approach is not always right for every organization.

Native Cloud Tools: Understanding Their Benefits for FinOps

Cloud tools are becoming indispensable for modern-day FinOps. They can improve efficiency and agility and deliver better client results. But what native cloud tools are right for you, and how can they benefit FinOps? Let’s find out. When managing financial operations in your organization, using native cloud tools is a must. Let’s take a closer look at some key advantages.