Operations | Monitoring | ITSM | DevOps | Cloud

In the initial stage of the digital era, only a few businesses were using digital tools and technologies to enhance their performance and efficiency. But now, things have changed and almost 90% of businesses use top-rated technologies to stand out from their competitors. In fact, some of them rely heavily on robust IT infrastructure for seamless delivery of quality service and applications. As a result, infrastructure is becoming more complex and open to threats.

Grafana Mimir is our open source, horizontally scalable, multi-tenant time series database, which allows us to ingest beyond 1 billion active series. Mimir ingesters use consistent hashing, a distributed hashing technique for data replication. This technique guarantees a minimal number of relocation of time series between available ingesters when some ingesters are added or removed from the system.

Network protocols are necessary for data transmission and networking over different devices. One of the most common protocols is the TCP/IP framework, which builds connections through our internet. In fact, if you check email, watch Netflix, or stream music from Spotify, you’re relying on TCP/IP in the background. In this article, you’ll learn about the TCP/IP protocol layers and how they function.

As networks of educational institutions continue to get more complex, so does the demand for robust network monitoring and security measures. Without a secure and optimized network, student records become vulnerable to hacking, bandwidth congestion disrupts essential services, and online assignments remain unfinished. When lesson plans heavily rely on video-conferencing for seamless education delivery, the margin for errors or outages is slim.

I'm pleased to announce a new feature that we've been building for over a year: Honeybadger Insights. Insights is our take on logging and performance monitoring, helping application developers gain deeper visibility into what's happening with their applications. It goes beyond application monitoring and responding to exceptions and downtime. Insights lets you drill down into the details and step back to see patterns in your data.

Naming things, and specifically consistently naming things, is still one of the most useful pieces of work you can do in telemetry. It’s often overlooked as something that will just happen naturally and won’t cause too much of an issue—but it doesn’t happen naturally, it does cause issues, and you end up having to fix the data in pipelines or your backend tool.