Operations | Monitoring | ITSM | DevOps | Cloud

Learn the best practices for executing seamless database schema migrations within ephemeral environments.

Daunting. It’s one of the first words that comes to mind for IT and business leaders tackling the challenges of 2023 and looking to future-proof their organizations. IT operations (ITOps) departments are working to balance priorities during a time of growing uncertainty and pressure. ITOps is the team that keeps the lights on, and today, it must do so with enough speed to meet business demands.

There’s no doubt that generative AI and the productivity it promises have captured the world’s imagination. We’ve talked about applying AI to just about everything—from those soul-crushing tasks we never want to do again to dreams within our grasp for the first time. Goldman Sachs estimates that generative AI could add nearly $7 trillion to global gross domestic product (GDP) in the next decade.

According to a study conducted by the Service Desk Institute, Enterprise Service Management (ESM) strategies were adopted by 68% of organizations by mid-2021. This was a 58% increase from two years prior when ESM solutions were far less prevalent. So, what drove such a dramatic increase in ESM strategy adoption? Most likely the overwhelming benefits of ESM.

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Compliance Management is the practice that helps organizations comply with their legal, security, and regulatory requirements. It can support effective Risk Management and improve operational efficiency, reputation, and trust. In this article we will investigate the main activities involved in this practice, explore the implementation process and some challenges to look out for in the way. To finish off, we will see how InvGate Insight can help you streamline some key activities in this process.

We are very excited to announce that InvGate Insight has added a Software Compliance feature to enhance our users’ Software Asset Management capabilities. Ensuring compliance will allow organizations to avoid legal or financial fines and costly downtime, and at the same time, improve their software resource allocation. So, let’s see what this new module is all about and how it can level up your day-to-day IT Asset Management (ITAM) operations!

When the services in your distributed application interact with a database, you need telemetry that gives you end-to-end visibility into query performance to troubleshoot application issues. But often there are obstacles: application developers don’t have visibility into the database or its infrastructure, and database administrators (DBAs) can’t attribute the database load to specific services.

Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. Many software engineers are encountering LLMs for the very first time, while many ML engineers are being exposed directly to production systems for the very first time.

Many cloud infrastructure providers make deploying services as easy as a few clicks. However, making those services high availability (HA) is a different story. What happens to your service if your cloud provider has an Availability Zone (AZ) outage? Will your application still work, and more importantly, can you prove it will still work? In this blog, we'll discuss AZ redundancy with a focus on Kubernetes clusters.