Operations | Monitoring | ITSM | DevOps | Cloud

The concept of the internal developer platform (IDP) isn’t new to anyone who’s been doing DevOps for the last couple decades. But the recent explosion of interest around platform engineering, particularly among business leaders, has led to a re-examination of the IDP as we know it.

You're browsing your favorite website, clicking around, when suddenly, you're rudely interrupted by a white screen, proclaiming: (I don't mean to pick on Varnish cache here, It's just a screenshot I had handy) As a developer, my eyes scan error messages like these for numbers - in this case, the "503" - indicating that the error isn't my fault, and I can move on with my life.

Azure Blob storage is a popular service provided by Microsoft, offering scalable, cost-effective, and secure cloud storage solutions for various types of unstructured data. This article aims to provide a comprehensive analysis of Azure Blob storage types, their pricing models, and the key factors that impact the cost of using these services.

To understand the cloud computing landscape today and what true digital transformation looks like, we should first understand how we got here.

Almost three years into the hybrid working experiment and for some, the unintended pilot has turned into an adopted model, while for others the IT complexities of dealing with a remote workforce remain a persistent headache. Although hybrid or remote working are not new concepts, there are several reasons it wasn’t a widely adopted model prior to the outbreak of the pandemic in 2020. Many of those reasons are cultural, but some are purely technical.

It is so low-tech that Gen Z’ers and other digital natives may faint (or perhaps the avatar in a VR game that they are playing may faint) to learn that one of the greatest inventions in the history of our species is the humble do-not-disturb sign. Indeed, this magical placard is like having a very own private Gandalf shouting: YOU SHALL NOT PASS! However, the glory of do-not-disturb is not limited to hotels, motels, and teenagers’ bedrooms.

There’s a reason why the network monitoring market reached about $2 billion in 2019 and is expected to reach $5 billion by 2026. In today’s tech-focused world, organizations require network monitoring to secure and manage their IT infrastructures. One of the crucial systems that every network monitoring and management operation needs to succeed is known as network discovery.

When we introduced Grafana Mimir into the open source ecosystem, we weren’t shy about our ambitions. Once we got past answering some of the easier questions (For the record, the name Mimir comes from Norse mythology, and it’s pronounced /mɪ’mir/.), we quickly got to work making good on our promise to deliver the most scalable, most performant open source time series database (TSDB) in the world.

System hardening means locking down a system and reducing its attack surface: removing unnecessary software packages, securing default values to the tightest possible settings and configuring the system to only run what you explicitly require. Let’s take an example from daily life.

The amount of data organizations handle has created the need for faster data access and processing. Data Denormalization is a widely used technique to improve database query performance. This article discusses data normalization, its importance, how it differs from data normalization and denormalization techniques. Importantly, I’ll also look at the pros and cons of this approach.