Operations | Monitoring | ITSM | DevOps | Cloud

One of the most exciting things when using Kubernetes is the ability to scale up and down the number of nodes based on application consumption. So you don’t have to manually add and remove nodes on demand and let it go on usage. Obviously what you want is to keep control on the minimum and the maximum number of nodes to avoid an unexpected bill.

Integrations to third party ITOM/ITSM solutions have been used by all Avantra customers since the beginning back in 2003. Often this is due to corporate support processes and the customer’s wish that all solutions used to manage the entire IT landscape shall report to one single ITOM/ITSM solution. This is where activities of different departments are coordinated.

LDAP or Lightweight Directory Access Protocol is one of the oldest and most popular protocols used to retrieve information from directory services, authenticate users, and build applications that don’t compare on security or speed. It’s one of the protocols to manage assets and data over a network and provides secure access to them. So what is LDAP? How does it work? What are some of the best practices while using the LDAP protocol? Let’s have a look.

Machine learning has garnered a lot of attention in the past few years. The reason behind this might be the high amount of data from applications, the ever-increasing computational power, the development of better algorithms, and a deeper understanding of data science. We have already talked about artificial intelligence (AI) in a previous blog post. In this opportunity, we will learn about machine learning, what it is and how it works with examples and ITSM applications.

This post is part of a series featuring customers, partners, and experienced DX Unified Infrastructure Management (DX UIM) practitioners. We’ve asked these expert users to share their knowledge with the broader DX UIM community. Today, we’re featuring Kathy Solomon, the Unix Systems Administrator for the R&D Support organization within Broadcom IT.

As an IT solution provider, you must walk a fine line between generating revenue and maintaining your team while providing the best possible service for your clients. However, you must have a sufficient budget and develop long-term strategies to attain all of these. Furthermore, when you’re operating on a break-fix model, all these tasks can be challenging.

With support for Atlassian Server products ending in February 2024, many of you are likely evaluating or planning your migration to Bitbucket Cloud. To help you navigate the migration process, we've put together a list of frequently asked questions that we hear from customers. Each section below has several resource links to help you learn more and start planning your migration.

It’s time for our monthly product updates. Closing GitHub issues, fixing bugs, shipping code, and sipping coffee, time flies by every month. Last month, we crossed a major milestone of 7000+ GitHub stargazers. We can not thank the developer community enough for supporting us in our mission to democratize observability.

Successful customer service requires connecting the dots across an entire organization’s teams, systems, and data to address customer needs seamlessly and efficiently. A task of this magnitude and facets comes with myriad challenges. Automation, artificial intelligence (AI), and other advanced technologies can help. Let's explore three ways you can use emerging tech to address your customers' needs proactively and effectively.

At incident.io we use gorm.io as the ORM library for our Postgres database, it’s a really powerful tool and one I’m very glad for after years of working with hand-rolled SQL in Go & Postgres apps. You may have seen from our other blog posts that we’re heavily invested in tracing, specifically with Google Cloud Tracing via OpenCensus libraries.