Operations | Monitoring | ITSM | DevOps | Cloud

Amazon’s Elastic Compute Cloud (AWS EC2) is one of the most popular ways to run applications in the cloud, but finding logs for a given instance is a common struggle. That’s where Loki can help. With Loki aggregation, you can group all your logs from all your virtual machines in one place, and with its search capabilities, you can quickly find and analyze them. It’s a great way to gain visibility in your cloud deployment.

Crashes are something we know a thing or two about. We see a lot of reasons why apps crash, but we also see when a lot of popular mobile apps crash at once, that’s something we notice. Crashes across many mobile apps at the same time is not typically a result of an app-specific code update. I mean, there’s a non zero chance that hundreds of developers published broken apps… but these widespread issues are likely a result of two things.

Query tuning is generally considered one of the fastest ways to accelerate your Microsoft SQL Server performance. System-level server performance improvement activities can be expensive and ineffective. Moreover, expert developers agree most SQL Server performance issues can be traced directly to poorly written queries and ineffective indexing rather than hardware constraints. In fact, many performance problems can only be resolved through query optimization and tuning.

We’ve officially made it past day 100 in quarantine. I hope you’ve found your groove, perfected your at-home office/workspace, learned a new language, tested six new bread recipes, and launched a successful TikTok channel. I also hope your pants still fit and you remember how to put them on correctly. Working from home has been an interesting situation to say the least, and has come with a whirlwind of emotions and business updates, two things I never expected to type in the same sentence.

Running the JFrog DevOps Platform on Kubernetes in your enterprise can mean serving millions of artifacts to developers and customers each day. But operating at top performance requires being able to answer some vital questions. Like what is the most requested artifact? What is the most popular repo? Who are your heaviest users? For security, which users are doing bad things, and from which IPs?