Operations | Monitoring | ITSM | DevOps | Cloud

In the last few years, driven in no small part by the impact of the pandemic, cloud technology has had a profound effect on healthcare. Despite being one of the last sectors to go all-in on public cloud, the maturity of offerings seems to be finally winning the industry over, opening up significant opportunities for telemedicine and virtual care to adapt to evolving patient and workforce needs.

Conventional wisdom states that SaaS engineers don’t care about costs. They care about building an optimal product, regardless of the dollar signs associated with it. As a result, the finance team feels they must corral the engineers’ efforts and constrain them to work within an agreed budget. In fact, the FinOps Foundation’s annual survey consistently ranks “getting engineers to take action on cost optimization” as the number one challenge experienced by FinOps specialists.

For infrastructure administrators tasked with ensuring the reliable operation of their applications, the thought of a lurking cyberattack can be one to lose sleep over. An attack on your system and the services you provide could render your applications unresponsive, resulting in a security breach, or loss of data.

Reducing noise in your error logs is critical for quickly identifying bugs in your code and determining which to prioritize for remediation. To help you spot and investigate the issues causing error logs in your environments, we’re pleased to announce that Datadog Error Tracking is now available for Log Management in open beta.

We explain how to make the most of automation, orchestration, and Infrastructure as Code tools for your highest performing network yet.

Today I’m going to speak about another important Best practice, Tips and Tricks that you need to take into consideration while you are designing and maintaining your business processes (Logic Apps): Protect your Logic Apps.

In the analytics domain, fast and reliable storage is an important aspect for businesses to handle a large amount of data. There are different types of data storage including RDBMS, NoSQL, data lake, data warehouse, and graph database. Among these, the most widely used is RDBMS that powers various systems and applications of companies of all sizes. RDBMS is easy to use and straightforward to understand thanks to its table-based (or column-based) data format.