Operations | Monitoring | ITSM | DevOps | Cloud

Qovery has been named a High Performer in the Fall 2022 G2 Reports for the third consecutive time. Today, we’re excited to share that Qovery maintains its High Performer status in its category. We are also grateful for our users’ continued support, which has resulted in us receiving 4.8/5 stars and winning three G2 awards in a row.

It’s no secret that there is a lot of money involved in cybercrime. With McAfee estimating the annual global cost of cybercrime at just under $1 trillion, the dark side of tech is big business. Clearly, those losses have an impact on the global economy. It’s also become a pressing question to see if macroeconomic/geopolitical trends impact cybercrime.

AI/ML is reinventing the reality of many industries, including retail. From brick-and-mortar stores to online marketplaces, retail companies are all increasing their investments in artificial intelligence, in order to gain a competitive advantage, better understand their customers and solve some of their long-lasting problems.

The Rancher Team are excited to announce the general availability of Rancher v2.7. Rancher v2.7 is a monumental milestone in the lifecycle of Rancher and introduces the ability to be a truly interoperable, extensible platform through the concept of extensions. The extensions now make it possible for users to build extensions on top of Rancher with complete autonomy.

Earlier, before the advent of cloud computing, businesses used to have their data centers. These data centers were expensive to set up and maintain. They required a lot of expertise to manage. As a result, only large enterprises could afford them. However, with cloud computing, even small and medium businesses can now take advantage of this emerging and forward-thinking technology. Data shows that businesses that use cloud technologies tend to grow faster, be more profitable, and generate more jobs.

A look at what Parquet is, how it works and some of the companies using its optimization techniques as a critical component in their architecture. As the amount of data being generated and stored for analysis grows at an increasing rate, developers are looking to optimize performance and reduce costs at every angle possible. At the petabyte scale, even marginal gains and optimizations can save companies millions of dollars in hardware costs when it comes to storing and processing their data.

Old network salts likely know all about network flows and the value of network flow monitoring. As former News Editor for Network World and Editor in Chief of Network Computing, network flows are part of my old stomping grounds. In fact, I remember when Cisco invented NetFlow in the late 1990’s to collect traffic data from its routers and switches so it could be analyzed by network pros.

Over the past three years, the Microsoft Teams environment has become the de facto voice communication tool for a large percentage of organizations. But with many companies having implemented their Teams setup rapidly in the face of a dramatically changing business setting, some IT teams have been struggling to know how to get the most out of their Teams environment.

I’ve been in the SQL Server space for a long time—my entire career, in fact—but it doesn’t necessarily mean I’m great at what I do; it merely means I’ve seen a lot. I’ve watched things go well and have experienced my fair share of spectacular failures, too. Earlier in my career, I stayed around too long in environments where things weren’t going great.

While conventional remote IT assistance software is super efficient for instant IT support, it can also come with data privacy and security concerns. So how do you create a balance between providing effective tech support and maintaining privacy and security? If you have customers in highly regulated industries such as healthcare, surveillance security, or industries that involve personal data or information this is an even more crucial question.