Operations | Monitoring | ITSM | DevOps | Cloud

In an era marked by escalating cyber threats, Domain Name System (DNS) infrastructure security has become a key concern for IT organizations worldwide. Attacks related to DNS infrastructure, such as DNS hijacking, DNS tunneling, and DNS amplification, are on the rise. Many organizations find themselves questioning the robustness of their DNS security protocols.

Kubernetes probes are essential tools for maintaining the health and reliability of applications running in containers. Among these, the liveness probe plays a critical role in checking if an application is running correctly. If it detects any problems, Kubernetes can automatically restart the affected container, thus ensuring the application remains available without manual intervention.

Good software development teams are focused on outputs, and can bring key metrics to bear that illustrate just what the engineering organization is building on a daily, monthly and yearly basis. Developer productivity is often assessed retrospectively: if the team is hitting DORA metrics, we assume everything in the lifecycle before production is sound. But the best teams dig deeper, and aim to solve the problem backwards as well as forwards by looking at the process as well as the results.

This is the second post in the series about "secret" elmah.io features. While reading the first post before this one is not required, I highly recommend you also check it out. In this post, I'll introduce you to the correlation features available in elmah.io.

27 February 2024: Today, Canonical announced the release of Charmed Kafka – an advanced solution for Apache Kafka® that provides everything users need to run Apache Kafka at scale. Apache Kafka is an event store that supports a range of contemporary applications including microservices architectures, streaming analytics and AI/ML use cases. Canonical Charmed Kafka simplifies deployment and operation of Kafka across public clouds and private data centres alike.

As organizations and their IT infrastructure become more complex the necessity for effective server monitoring grows. Companies are deciding to operate extensive server networks, utilizing both cloud infrastructure and on-premises data centers due to the ever-increasing demand. Today’s users demand as good as 100% uptime for the services they use, meaning optimal and well–established network connections are vital in order to handle large amounts of users and transactions.

Having delivered numerous applications, prototypes, and demos over the years, I’ve developed a deep appreciation for how robust development frameworks can significantly contribute to Speed to Delivery Time (SDT). This metric is vital in the fast-paced software industry, where the ability to bring scalable and maintainable applications to market quickly can set a project apart.

In traditional engineering organizations, development and operations teams are often siloed, a scenario that can lead to friction between them. For example, developers are encouraged to write and release more and better code. Operations engineers are responsible for preventing errors and bugs from affecting customer experiences. As a result, operations teams frequently serve as gatekeepers and can significantly slow deployments down – to ensure everything works first.