Operations | Monitoring | ITSM | DevOps | Cloud

One of the most worrisome trends in cybersecurity today is the skyrocketing incidence of supply chain attacks, such as the ones that hit SolarWinds last year and Kaseya more recently. Because they focus on compromising software development and delivery, supply chain attacks have forced developers and DevOps teams to scramble for solutions. Unfortunately, supply chain attacks are particularly challenging to prevent, detect and remediate, and, because of their stealthy nature, are often devastating.

Every product is a never-ending journey and Ivanti Neurons for Spend Intelligence is no exception to the rule. From the very beginning, our teams have set out to target core fundamental problems that we hear people in asset management struggling with on a day-to-day basis. To imagine this on more metaphorical level, just think for a moment: you are going on a road trip and your next destination is an amazing seaside resort with fabulous weather with your every want and desire close at hand.

Engineering time is a precious resource. We often have to balance many tasks and often conflicting priorities. In this article, we’ll look at ten activities for which allocating more time can be beneficial. Let’s learn from the mistakes of others.

We are pleased to announce our newly launched dashboard design which we have created to assist cross team collaboration for users that prefer to use multiple Stacks per account. We understand that Cybersecurity specialists, Sysadmins, Product owners, developers and CTOs may all have different requirements for using our platform for logs and metrics analysis.

Developers of any skill set find it frustrating when we don’t have access to the information we need. We want easy and complete access to application logs so that we can troubleshoot application problems. Quickly resolving issues requires a complete picture of what’s going on. Using the wrong tools limits our ability to determine what’s wrong, slowing the repair process.

Generating and collecting logs is one thing. Generating and collecting actionable logs can be quite another. That's a problem because logs that are not actionable – meaning they can be easily used to derive valuable insights or resolve issues – are not very valuable. If you don't generate actionable logs, you might as well not log at all. Fortunately, ensuring that you generate useful logs is not tricky. Keep reading for seven tips on making your logs actionable and valuable.

Developers must have access to the information that they need. Accessing this information, however, can be time-consuming. With the wrong tools or workflow, it’s frustrating and challenging to filter logs by source. Tags are an easy solution from LogDNA that helps developers get a more granular view of what’s going on in our services.

Modern software development teams use CI/CD tools to ship features quickly and rely on best practices like shift-left testing to find application errors before they become user-facing bugs. But you still face the risk that any code you deploy could contain errors that your testing did not surface. To help you deploy with confidence and mitigate the effects of a bad deployment, Datadog APM now provides Automatic Faulty Deployment Detection.

Almost all tasks within a Linux system, whether it’s an application, system daemon, or certain types of user activity, are executed by one or more processes . This means that monitoring processes is key to detecting potentially malicious activity in your systems, such as the creation of unexpected web shells or other utilities.