The question is (probably) older than monitoring itself: Who monitors the monitor? While Icinga comes with countless options to monitor a wide range of devices and applications, at some point you will ask yourself how you can observe if Icinga itself is having errors.

In this article, we will introduce you to the new Pandora FMS Roadmap for the next 24 months (June 2021 – June 2023). For its creation, we had the participation of our clients and partners, who, through a survey, helped us choose all kinds of features and their priority. It’s been really satisfying for us to complete this challenge, as it was one of those enthusiastically proposed among our closest goals.

Although writing better queries and building the right indexes are important parts of improving database performance, building clear database documentation can also contribute to this goal by helping you understand your database architecture. Painting a clear picture of the structure of your database gives you insight into your data flows and helps you identify redundant data and clarify business processes.

It is easier to perform application troubleshooting when you know that protocols are in place. For instance, knowing the core features of the application and how the application functions is already a standard. Also, you’ll need to expand the coverage like the requirements of Quality of Service (QoS). Does the application need real-time performance or does it need to move a lot of data? Are there sub-applications running on the endpoints?

Big data analytics help organizations use data to explore both new and improvement opportunities. Whichever cloud data platform you choose, there are two data storage technologies you will want to understand. Data warehouses and data lakes are the two dominant data solutions commonly used for defining how an organization stores, queries, analyzes, and reports on big data. This post will define what a data warehouse and data lake are, how they work, and their differences.

Uptime.com checks can test anytime, from anywhere, to catch the downtime incidents you need caught. With worldwide probes, or through private locations that monitor your internal network, we reliably detect outages and monitor performance across your websites, applications, servers and infrastructure. Read on to explore 15 use cases for the HTTP(S) check type. HTTP(S) checks validate if a server is up or down, while reducing the possibility of false positives.

Since the initial release of InfluxDB OSS 2.0 in November 2020, more than 10% of the community has successfully upgraded, and the pace of the upgrades continues at a steady rate. We have released a number of maintenance releases to address defects, expand platform coverage, and enhance the update experience based on feedback.

The United States Government equates cybersecurity with national security. That’s the crux of the recent Executive Order that will mandate that not only must software applications be vetted, but there will be upcoming regulations on providing all of the components that make up the software. As section 1 notes: “prevention, detection, assessment, and remediation of cyber incidents is a top priority and essential to national and economic security.”

Incidents and outages caused by animals highlight the importance of flexibility and out-of-the-box thinking when it comes to SRE.

One of the things we needed to either adopt or build for InfluxDB IOx is a database catalog. If you haven’t heard us talk about it yet, InfluxDB IOx (pronounced eye-ox) is the new in-memory columnar database that uses object storage for persistence. We’re building it as the future core of InfluxDB. A database catalog usually contains the definitions of a database’s structure like schema and indexes.