Operations | Monitoring | ITSM | DevOps | Cloud

I have always had a special fondness for Postgres, particularly captivated by its JSONB capabilities, which is at the core of what I love as it stands as a testament to its adaptability. This functionality exemplifies Postgres’s ability to adapt to modern apps’ rapidly changing needs to support structured and unstructured data to coexist seamlessly within the same database environment. The capabilities of PostgreSQL are not limited to its ability to manage relational and non-relational data.

Mohammed Al Sahaf serves as Technical Product Manager at Samsung Electronics Saudi Arabia. Outside his day job, he serves with the Caddy team to tackle the web of problems facing web servers in the third millennium. Mohammed is the author of Kadeessh, formerly caddy-ssh, and the maintainer of numerous Caddy modules. When he isn’t programming, he is trying to catch up on life and sleep with the help of coffee.

Sift is a machine-learning-powered diagnostic feature in Grafana Cloud that SREs and DevOps teams can use to automate routine parts of incident investigation, such as searching for new errors in logs, surfacing recent deployments, or identifying overloaded Kubernetes nodes. We want Sift to springboard you into an investigation, so useful context is already there by the time you see an alert or declare an incident.

Despite changes in technology, culture, economics, or virtually any other factor imaginable, the adage ‘time is money’ remains relevant. When it comes to data analysis, the faster you can conduct analysis, the better. However, increasing data volumes across the board make it challenging to analyze and act on data in a timely manner.

If you’ve ever watched one of those rehabilitating a business show like Kitchen Nightmares, you know that the advice is often the same, “Don’t try to be everything to everyone. Pick what you’re good at and stick with it.” Essentially, the message is to pick your niche and be the best within it.

DDoS attacks disrupt services and damage reputations, with motivations ranging from political to personal. These attacks can also mask more severe security breaches, so early detection and mitigation are crucial. Learn how Kentik provides a solution by analyzing enriched NetFlow data to identify and mitigate DDoS threats.

With the increasing reliance on the internet for information and services, customers expect websites to be fast, reliable, and easy to navigate. In today’s digital age, a company’s website serves as its virtual storefront, and is often the first point of contact for potential customers. Any downtime or slow loading times can lead to frustration and a negative perception of the company.

NiCE Advanced URL Management Pack enables extended monitoring of https, certificates, response times, and much more. It is inspired by the URL Genie MP, bringing many more new features to the SCOM admin table. In this Use Case covering the NiCE Advanced URL Management Pack, a FinTech Provider specifically needed way more in-depth URL monitoring for several reasons, all of which are tied to enhancing the security, performance, and user experience of their services.

Monitoring systems are invaluable for detecting incidents before they spiral into catastrophes. However, there's a hidden danger lurking within even the most robust monitoring setups: false alarms. When systems are overly sensitive, they raise alerts for incidents that don't actually exist. While this may seem harmless on the surface, hyper-sensitive monitoring can quietly drain time, money, and morale in ways that only become apparent over time.