Operations | Monitoring | ITSM | DevOps | Cloud

Serverless computing, a model in which the provider manages the server, lets developers focus on writing dedicated pieces of application logic. Serverless computing has been adopted by many development teams because it auto-scales. Auto-scaling relieves developers of allocation management tasks, so they do not need to worry about the allocation of server resources or being charged for resources they are not consuming.

Today’s world is a connected one. The technologies we have allow us to connect with people half a world away. Companies can work with people from different locations. Cloud technologies, for example, are helping people collaborate from afar.

As your DevOps and IT Service Management (ITSM) teams continue to increase, so should your ability to provide self-service infrastructure capabilities. Whether you are a ServiceNow or Puppet administrator looking to expand automation to other groups such as Site Reliability Engineering or the IT Service Desk, the integration of Puppet Enterprise and ServiceNow is now at your fingertips.

Open source is eating the world. Companies have realized and embraced that, and ever more companies today are built around a successful open source project. But there’s also a disturbing counter-movement: vendors relicensing popular open source projects to restrict usage. Last week it was Grafana Labs which announced relicensing Grafana, Loki and Tempo, its popular open source monitoring tools, from Apache2.0 to the more restrictive GNU AGPLv3 license.

In the fast-growing Azure world, the significant need for organisations would be productivity. Any enterprise that invests in a tool for their serverless needs aims for optimised management, which boosts productivity. This article will explain how to increase productivity while having a critical resource like Azure Storage, which is essential for organisations with their business developed in Azure. For an effective performance for such substantial resources, optimised management is mandatory.

Prometheus is an open-source tool that’s meant to monitor and collect metrics from applications. The point of this system is to make it easy for users to see and understand important metrics that let them know how well an application is doing. In fact, Prometheus is able to collect over one million metrics per second, and then store them until you’re ready to retrieve them.

When you hear the word "Thanos," your first thought might be the Marvel Cinematic Universe villain from the Avengers: Infinity War film who seeks to collect the Infinity Stones and end half of all life in the universe. But if you mention the word to a data nerd, you're likely to get a very different response. Prometheus is a free and open-source platform for real-time systems and event monitoring and alerting.

Data provides an essential basis for reports and analytics, with the databases storing the data now driving and informing most custom and line-of-business applications. Thus, anything organizations can do to speed up troubleshooting for database problems is pure gold. In fact, time saved on troubleshooting turns into time organizations can invest in being more productive and profitable.

Indexes play a critical role in SQL Server query performance. SQL Sentry Fragmentation Manager helps you make intelligent decisions about index management based on the table and index information collected. In this blog post, I’m going to discuss index fragmentation, several ways you can identify it, and why a more granular approach to index maintenance can save time and allow you to focus on other tasks during maintenance windows.