In a previous post, we looked at an example of a fictional bookstore company and recommended mirroring strategies for that specific scenario. In this post, we’ll be looking at a fictional bank and recommended mirroring strategies for their network traffic. For a list of the most commonly used strategies, check out our traffic mirroring tutorial.

In the past 24 hours, funding website GiveSendGo has reported that they’ve been the victim of a DDOS attack, in response to the politically charged debate about funding for vaccine skeptics. The GiveSendGo DDOS is the latest in a long line of political cyberattacks that have relied on the DDOS mechanism as a form of political activism. There were millions of these attacks in 2021 alone.

With progressive delivery, DevOps, scrum, and agile methodologies, the software delivery process has become faster and more collaborative than ever before. Scrum has emerged as a ubiquitous framework for agile collaboration, instilling some basic meetings and roles into a team and enabling them to begin iterating on product increments quickly. However, as scrum teams grow and systems become more complex, it can be difficult to maintain productivity levels in your organization.

You have to capture everything to investigate security issues thoroughly, right? More often than not, data that at one time was labeled irrelevant and thrown away is found to be the missing piece of the puzzle when investigating a malicious attacker or the source of an information leak. So, you need to capture every network packet.

When you’re working with large data sets, having that data structured in a way that means you can use software to process and understand it will enable you to derive insights far more quickly than any manual approach. Logfile data is no exception.

Debugging is a fundamental skill in the arsenal of any engineer. Mistakes happen, and bugs are inevitable, but a skilled debugger can catch a bug early and find an elegant solution.

You’ve probably seen the term AIOps appear as the subject of an article or talk recently, and there’s a reason. AIOps is merging DevOps principles with Artificial Intelligence, Big Data, and Machine Learning. It provides visibility into performance and system data on a massive scale, automating IT operations through multi-layered platforms while delivering real-time analytics.

Security is one of the most changeable landscapes in technology at the moment. With innovations, come new threats, and it seems like every week brings news of a major organization succumbing to a cyber attack. We’re seeing innovations like AI-driven threat detection and zero-trust networking continuing to be a huge area of investment. However, security should never be treated as a single plane.

With dozens of microservices running on multiple production regions, getting to a point where any error log can be immediately identified and resolved feels like a distant dream. As an observability company, we at Coralogix are pedantic when it comes to any issue in one of our environments. That’s why we are using an internal Coralogix account to monitor our development and production environments.

Maintaining an endpoint, especially a customer-facing one, requires constant monitoring, whether using REST or GraphQL. As the industry has looked for solutions to build a more adaptive endpoint technology, it is also a must to monitor these endpoints. GraphQL and REST are two different technologies that allow user-facing clients to link to databases and platform logic. Both GraphQL and REST include monitoring techniques.