Operations | Monitoring | ITSM | DevOps | Cloud

Last year we had a look at managing local groups with the custom groups promise type. As you may or may not recall, we used JSON-strings to imitate CFEngine bodies. This was due to the fact that the promise module protocol did not support bodies at that time. Today, on the other hand, we’re happy to announce that as of CFEngine 3.20, this will no longer be the case. In this blog post we’ll introduce the long awaited feature; custom bodies.

Over the years, containerization has grown in popularity among organizations and will continue to grow. For example, containerization is slowly becoming the de facto approach when it comes to building applications following the microservices architecture. It is undeniable that containerization has a lot of advantages, but these advantages come at a cost.

Over the past several years, I've helped numerous customers migrate SQL Server workloads to Azure SQL, including Azure SQL Database, Azure SQL Managed Instance, and Azure SQL Virtual Machines. In this article, I'll explain some of the challenges of optimizing the compute cost for an Azure SQL Database deployment and review how the serverless compute tier can greatly simplify it.

Enterprises are dealing with a deluge of observability data for both IT and security. Worldwide, data is increasing at a 23% CAGR, per IDC. In 5 years, organizations will be dealing with nearly three times the amount of data they have today. There is a fundamental tension between enterprise budgets, growing significantly less than 23% a year, and the staggering growth of data.

Recently, a critical out-of-bounds vulnerability, assigned to CVE-2021-44142, was disclosed in Samba versions prior to 4.13.17. The Samba vulnerability carries a critical CVSS of 9.9 and allows attackers to remotely execute code on machines running a Samba server with a vulnerable configuration. The vulnerability was disclosed as part of the Pwn2Own Austin competition where researchers are challenged to exploit widely-used software and devices with unknown vulnerabilities.

Just like many other production DevOps engineering teams, our JFrog team deploys new version releases several times a day to AWS, Azure and GCP, across more than 20 cloud regions. This process used to take us many hours and could have even failed if it was done alongside maintenance by other teams.

Today we are happy to announce that after month of work we finally can release Icinga for Windows v1.8.0. As discussed in our live Icinga for Windows Q&A on our YouTube-Channel, we spent lots of time resolving issues reported by our community and customers and in general improved the performance as well.

In our daily life we can face different difficulties. From spilling coffee on our clean shirt just before leaving home to not finding an emoji that satisfies us to answer that someone we like. Stupid little things compared to how difficult it is sometimes to identify network problems for an external IT provider.