Operations | Monitoring | ITSM | DevOps | Cloud

There’s little doubt that a lot has changed when it comes to network design, specification and build. The seemingly simple goal of carrying traffic from point A to point B might remain, but these days it comes with a long list of options and alternatives to cover a wide range of network architectures, content providers and service types, all of which might have different requirements for bandwidth, latency, and availability.

I am excited about the upcoming Optical Fiber & Communications (OFC 2022) Conference in San Diego for several reasons. Not only will it be the first in-person conference that I have attended in more than two years due to the pandemic, but the thing that I am most excited about is the fact that Ribbon will be showcasing our new IP Wave offering at the show.

As a strictly typed language, Flux protects you from a lot of potential runtime failures. However, if you don’t know the column types on the data you’re querying, you might encounter some annoying errors. Suppose you have a bucket that receives regular writes from multiple different streams, and you want to write a task to downsample a measurement from that bucket into another bucket.

Companies that effectively implement SaaS pricing and packaging have the distinct advantage of being able to provide their customers with a high level of value at a reasonable price. And, they’re able to do it in a way that is profitable and worthwhile for the business. The problem is that packaging and pricing SaaS products is anything but simple. There are a lot of variables involved in deciding on a SaaS product’s pricing strategy.

HAProxy and HAProxy Enterprise collect a vast amount of information about the health of your applications being load balanced. That data, which uses the Prometheus text-based format for metrics, is published to a web page hosted by the load balancer, and since many application performance monitoring (APM) tools can integrate with Prometheus, it’s likely that you can visualize the data using the APM software you already have.

Log messages - also known as event logs, audit records, and audit trails – document computing events occurring in IT environments. Generated or triggered by the software or the user, log messages provide visibility into and documentation of almost every action on a system. So, with all that in mind, let’s explore all the biggest log management challenges of modern IT and the solutions for these problems.

Today, I am excited to introduce the NSQ integration available for Grafana Cloud, our platform that brings together all your metrics, logs, and traces with Grafana for full-stack observability. NSQ is a real-time distributed messaging platform designed to operate at scale, handling billions of messages per day. It’s a simple and lightweight alternative to other message queues such as Kafka, RabbitMQ, or ActiveMQ. This will walk you through how to get the most out of the integration.

In late 2021, Microsoft published an article regarding the connectivity principles for securely managing Microsoft 365 traffic in order to get the best possible performance. Take me to the Article: Microsoft 365 Network Connectivity Principles >> In the section focused on avoiding network hairpins, Microsoft states that as a general rule, the shortest and most direct route/call flow between the user and their closest Microsoft 365 endpoint will offer the best performance.

As the world becomes more dependent on cloud-native systems, the tolerance for slow services is decreasing. Users expect instantaneous access to services, whether it's for work, entertainment, or even cloud infrastructure. Even small amounts of latency can significantly decrease user satisfaction: nearly half of all users expect web pages to load in under two seconds, and as many as 28% of users will permanently abandon a slow site.

Today it is even easier to capture logs in your Java applications. Developers can get more data with their application logs using a new version of the Cloud Logging client library for Java. The library populates the current executing context implicitly with every ingested log entry. Read this if you want to learn how to get HTTP requests and tracing information and additional metadata in your logs without writing a single line of code.