The integration of Flowmon with an external user database such as Active Directory (AD) significantly simplifies access rights management both for small companies and enterprises. Although it has been available for some time, there are some helpful functions that may not be immediately obvious.
In order to have the most successful deployment, there are a few best practices that software development teams should be mindful of. First, following a continuous delivery approach allows software development teams to release in shorter cycles, so that building, testing, and releasing can be done with greater speed and reduced error rates. As stated in an earlier post of ours, you’re doing continuous delivery when: Your software is deployable throughout its lifecycle.
As of October 15, 2020, Mattermost Extended Support Release (ESR) version 5.19 will no longer be supported. If any of your servers are not on ESR 5.25 or later, we highly recommend that you upgrade immediately. With our simple upgrade steps, it takes only a few minutes. Mattermost adopts a monthly tick-tock release cycle, with a new version shipping on the 16th of each month.
Untangling a chaotic mess can be daunting. And that’s exactly the problem Alain Adler, the Head of Engineering at BetterHelp, faced.
Continuous Integration and Continuous Delivery (CI/CD) delivers services fast, effectively, and accurately. In doing so, CI/CD pipelines have become the mainstay of effective DevOps. But this process needs accurate, timely, contextual data if it’s to operate effectively. This critical data comes in the form of logs and this article will guide you through optimizing logs for CI/CD.
Microservice architecture is widely popular. The ease of building and maintaining apps, scaling CI/CD pipelines, as well as the flexibility it offers when it comes to pivoting technologies are some of the main reasons companies like Uber and Netflix are all in on this approach. As the amount of services in a microservice architecture rises, complexity naturally also rises.
Elasticsearch is a complex piece of software by itself, but complexity is further increased when you spin up multiple instances to form a cluster. This complexity comes with the risk of things going wrong. In this lesson, we’re going to explore some common Elasticsearch problems that you’re likely to encounter on your Elasticsearch journey.
The modern enterprise has expanded its reach by using the power of cloud computing. However, with that power comes complexity in leveraging the multiple platforms needed to provide rich functionality. To achieve a seamless integration that involves multiple cloud infrastructures you need insightful and actionable data. You also need the right team to bring the clouds together in a seamless, effective, and efficient manner.
I often hear folks in my network being triggered by interactions with product managers within their companies whenever they follow up on certain product-related issues. The triggering phrase invariably is “It’s a known issue”. And they often wonder, well if it’s a known issue, why on earth isn’t anything done about it?
Few industries have experienced such a disruptive whiplash as the financial services industry. With the dizzying encroachment of agile, innovative, and fearless fintechs coming to the fore, traditional banking institutions have had to completely rethink their business, revenue models, and customer engagement initiatives.
