Operations | Monitoring | ITSM | DevOps | Cloud

You know you’re bleeding money in the cloud. Maybe not everywhere, but enough to feel it. Your engineers know it too. You’ve got idle resources humming away, AI workloads scaling like wildfire, and nobody can quite explain why last month’s bill jumped by 17%. So, you bring up the idea of investing in a cloud cost optimization product. Cue the skeptical glance from your CFO.

Higher education institutions face unique cybersecurity challenges due to their complex networks, diverse user base and open academic environments. With thousands of students, staff and faculty members accessing resources from various locations and devices, universities must have visibility of what’s happening on their networks and robust and responsive cybersecurity protection to help safeguard them.

You rolled out a Java application that worked fine in development. Fast, clean, no errors. However, once it went into production, things began to change. Suddenly, the app feels slow. CPU usage climbs without warning. Some users start getting timeouts. You check the dashboards, but nothing jumps out. You look through the logs, but it's mostly noise. And then the questions start coming in - "Is the JVM the problem?" If you've been in that situation, you're not alone.

Kafka and Iceberg is a costly marriage of inconvenience. If you write code for a living you’ve probably heard of Apache Iceberg - but you might not realise the detour your Kafka events must take to get there. Typically a Kafka message written to an Iceberg table must take a journey via a connector, rack up transfer fees, and idle in a sidecar before it appears as an Iceberg table—hardly the friction‑free flow open table formats promise.

eG Enterprise version 7.5 introduces advanced capabilities for detailed SSL Certificate Monitoring including monitoring for web servers and apps using SSL. Monitoring SSL certificates is essential to ensure secure connections, prevent service outages, and maintain user trust. Here are a few things you need to monitor and questions you should ask to keep your services and apps running reliably and securely.

Balancing security with your observability needs can be a difficult task. We know our users want to leverage platforms like Grafana Cloud to visualize and gain valuable insights into their data, while also keeping their data sources private and secure.

When service disruptions happen, every second counts. That’s why we’re excited to announce a major update to StatusGator: Early Warning Signals are now available via SMS. Early Warning Signals have already been helping teams stay ahead of outages via email and Slack alerts — and now, with SMS support, you can get real-time notifications directly on your phone, even before incidents are publicly acknowledged.

Over the past decade, customer expectations in retail have completely changed. What began as a basic need for convenience has now become a demand for seamless, personalized, and real-time experiences across every touchpoint. And if you are a retail leader, you would have probably witnessed this shift through distinct phases. While Omnichannel 1.0 was focused on showing up across platforms, Omnichannel 2.0 prioritized consistency and integration.

When unexpected risks disrupt the health and safety of the public, fast, reliable mass notification systems for local governments are essential. Without them, residents miss critical alerts that protect public health. For example, imagine a scenario like this: A water main break occurs in Waltham at 6:13 am, it took the public works team less than ten minutes to assess the damage and determine that the water is not safe to drink. However, most residents didn’t find out until hours later.

Every system needs observability. You need to know what your CPU, memory, disk, and network are doing, and maybe keep an eye on database query latency or Redis connection counts. But setting that up isn’t always simple. You start with a couple of shell scripts. Then come exporters. Then Prometheus. Before long, you’re managing scrape configs, tuning retention, and watching dashboards fail under load after two days of data.