Operations | Monitoring | ITSM | DevOps | Cloud

Here is an overview of the features & fixes we released over the last ~2 months.

Software development and delivery is an ever-changing landscape. Writing software was once an art form all its own, where you could write and deploy machine code with singleness of purpose and no concern for things like connecting to other computers. But as the world and the variety of systems that software supports became more complex, so did the ecosystem supporting software development.

In Part 1 of this blog series, we took a look at how we could use Elastic Stack machine learning to train a supervised classification model to detect malicious domains. In this second part, we will see how we can use the model we trained to enrich network data with classifications at ingest time. This will be useful for anyone who wants to detect potential DGA activity in their packetbeat data.

Monitoring requires a multi-faceted approach if DevOps teams want end-to-end visibility and deep insight into issues. This is especially true in the case of modern microservices applications, which are essentially collections of distributed services that talk to each other over a service mesh. With monolithic applications, requests can be tracked easily from the client to the server and back, but with modern applications, every request passes through numerous services before completion.

ROS, Ripple and reflections – In this month’s edition of The State of Robotics, we’ll tell you about the recently discovered Ripple vulnerability, the latest and greatest in robots reflecting nature, and a dash of news from the ROS universe.

Our July update brings new features to the email and webhook API’s. You can now close alerts in SIGNL4 when the issue was resolved in your backend system.

When it comes to business, data is everything. Whether it’s sales, supply, marketing, or your I.T. systems, every day is a constant stream of decisions to be made. To make the right decisions, you need enough knowledge. To have enough knowledge, you need the right data. What’s the best way to collect all this data? In the information age, there’s so much data out there, all the time.

In today’s digital world, every transaction is logged to give businesses endless amounts of functional data, and there is near-universal agreement that data insights will be integral to the success of businesses in the future. There is undoubtedly a need for a more data literate workforce.

As modern development practices evolve at rapid rates we must stay focused on what makes for a great experience; fast, flawless software. In the pursuit of building fast, performant software, you’ve likely come across performance monitoring products like Real User Monitoring (RUM) and Application Performance Monitoring (APM). In this article, we go deeper into how using RUM and APM can help you and your team build better software experiences.

We’ve always been vocal about the imminent threat of breaches and propagated the message that irrespective of the size of your business, the industry you’re in, or your geography, you can be subject to a security breach. And unfortunately, history repeats itself often. On May 11, 2020, Nippon Telegraph & Telephone (NTT), a large telecommunications company, revealed that attackers may have stolen data from its internal systems, affecting over 600 customers.