Keeping your systems secure is a never-ending challenge. Not only is it necessary to monitor and secure your own tech stack, but each new service a company uses creates another potential avenue for bad actors to try to exploit for their own ends.
Forget the latest tech gadgets and the newest products. One of the most talked about trends in observability right now? “SLOs have really become a buzzword, and everyone wants them,” said Grafana Labs principal software engineer Björn “Beorn” Rabenstein on a recent episode of “Grafana’s Big Tent,” our new podcast about people, community, tech, and tools around observability.
Recently microservices-based applications became very popular and with the rise of microservices, the concept of Service Mesh also became a very hot topic. Unfortunately, there are only a few articles about this concept and most of them are hard to digest.
In the era of Microservices, Cloud Computing and Serverless architecture, it’s useful to understand Kubernetes and learn how to use it. However, the official Kubernetes documentation can be hard to decipher, especially for newcomers. In this blog series, I will present a simplified view of Kubernetes and give examples of how to use it for deploying microservices using different cloud providers, including Azure, Amazon, Google Cloud and even IBM.
Companies today face a new world. Even the largest corporate behemoths are fretting over shifts in consumer preferences, the competitive landscape, and the next shock. For many firms, COVID-19 was a wake-up call. Now, they’re taking nothing for granted and are racing to seize every advantage. Japanese giant Fujitsu is no exception.
The world is getting used to the idea of a permanent shift to remote and hybrid work. The Everywhere Workplace means your employees are, well, everywhere: some might be in the office, while others come and go, others work from home, and still others are part of the rising trend of digital nomads. It’s a good thing that we’re growing comfortable with the idea of employees being everywhere. But there’s a catch: that means our data is everywhere, too.
It’s that time of the year again! The MITRE Engenuity ATT&CK evaluation results are in and generating quite the buzz in the industry. And for good reason. The MITRE Engenuity ATT&CK evaluation focuses on a tool’s ability to prevent and detect cyber attacker behaviors. Now in its fourth round of testing, it has become the de-facto standard for how security solutions perform against different advanced cyberattack scenarios.
Spring makes building a reliable application much easier thanks to its declarative transaction management. It also supports programmatic transaction management, but that’s not as common. In this article, I want to focus on the declarative transaction management angle, since it seems much harder to debug compared to the programmatic approach. This is partially true. We can’t put a breakpoint on a transactional annotation. But I’m getting ahead of myself.
Some months ago we wrote a quick guide on how to use Sentry with Spring Boot and Logback. Since then, we’ve continued working on improving the development experience, added several features for error reporting and, most importantly, implemented the performance feature in Sentry Java SDK with a dedicated integration with Spring MVC. If you haven’t yet used Sentry in a Spring Boot application - nothing to worry about - you will find all the necessary steps below.
