Operations | Monitoring | ITSM | DevOps | Cloud

When I had my first child almost six years ago, I expected that most of my time would be spent in the role of a teacher rather than a student. I have two kids now — and I’m certainly teaching them as much as I can as they grow and learn to navigate the world — but if someone were keeping score, my kids might end up on top when it comes to who’s taught who more. Another thing that surprised me is how similar building a family is to build a company from the ground up.

Everyone in the software industry is in a race to become more agile. We all want to improve the performance of our software development lifecycle (SLDC). But how do you actually do that? If you want to improve your performance, first determine what KPI you’d like to improve. DORA metrics offer a good set of KPIs to track and improve. It started as a research by the DevOps Research and Assessment (DORA) and Google Cloud (which later acquired DORA), to understand what makes high performing teams.

How do you pass context from events that concern Security teams to Development teams who can make changes and address those events? Often this involves a series of meetings and discussion that can take days or weeks to filter down from security event to developer awareness. Compounding the problem, developers generally do not have access to Splunk Core, Cloud or Enterprise indexes used by security teams, and indeed, may use only Splunk Observability for their metrics, traces and even logs.

Recently, I was talking to Catchpoint’s High School Summer Interns about what software engineering is all about. They’re spending a week at a time with various Catchpoint departments, and last week was with the Catchpoint Technology Group.

MongoDB is one of the most popular NoSQL databases in the world, used by millions of developers to store application metrics from e-commerce transactions to user logins. The MongoDB Enterprise plugin for Grafana — which is available for users with a Grafana Cloud account or with a Grafana Enterprise license — unlocks all of the data stored in MongoDB as well as diagnostic metrics for monitoring MongoDB itself for visualization, exploration, and alerting.

This is the second post in a 2 part blog series on debugging, monitoring and tracing NodeJS Lambda applications. If you haven’t yet seen part 1, check it out here (it’s a great read!) Now let’s get back into our post with one of the most commonly experienced issues when it comes to Lambda functions, Cold Starts.

InfluxDB has over a dozen different client libraries to help developers work with time series data in whatever programming language they like best. The Python client library is one of our most popular options. It’s simple to learn, and working with InfluxDB in a language you’re comfortable with helps you get started doing powerful time series analysis quickly.

As a managed service provider, your success depends largely on the satisfaction of your customers. If they’re happy, they’ll stay with you and recommend you to others. But if they’re not, they’ll take their business elsewhere. Sometimes, some customers are never satisfied no matter how hard you try. Instead, they’re always finding something to complain about, which can be frustrating.