Operations | Monitoring | ITSM | DevOps | Cloud

Picture this: You’re on the hunt for a new solution to help your IT team save precious time and money. You understand the benefits, you’ve done your research, and you know which vendors are on the top of your list. But there’s still one massive hurdle that you need to leap over before you can make the purchase – executive approval. Getting executive buy-in on purchases can often be more difficult than finding the right product.

One of the biggest buzzwords (or really, buzz acronyms) to pop up in the cybersecurity space in recent years is XDR, or, extended detection and response. The term was coined in 2018 by Nir Zuk, CTO and co-founder of Palo Alto Networks. It was posited as a new way to think about security, where data is taken from several platforms and it gets correlated and analyzed.

When SecurityDAM (acquired by Radware), a DDoS protection service provider, needed to upgrade their NOC operations, they tested out multiple solutions before choosing MoovingON.ai. From increasing efficiency and visibility to improving ticket resolution times and runbook automation, MoovingON.ai provided the NOC manager and team with everything they needed to run operations more smoothly and effectively.

Similar, to the monitoring module in Icinga Web, Icinga DB Web also provides list views for hosts and services to provide the most common columns to reduce the backend query load.

ITIL is the world's most widely used IT Service Management (ITSM) standard. We all know it has been adopted by enterprises looking to improve their underlying business processes and organizational structure for decades. So, it's been around for quite a while and has been very successful in helping organizations improve their IT operations. However, there is some question as to whether ITIL is falling behind in today's fast-paced, DevOps-centric, Agile-centric world.

In this DevOps 101 series, I introduce the concept of DevOps and talk about how you can include the database as a natural partner. In the previous post in the series, I discussed how automation introduces faster and more frequent deployments as a key benefit. We’re now going to take a deep dive into the value you can unlock through frequent deployments using database DevOps, along with how you get started doing them.

The best Redis® ever - version 7.0 - is now available on the Aiven platform.

Traditionally the Prometheus TSDB only accepts in-order samples that are less than one hour old, discarding everything else. Having this requirement has allowed Prometheus to be extremely efficient with how it stores samples. And in practice, it really hasn’t really been much of a limitation for users because of the pull-based model in Prometheus, which scrapes data at a regular cadence off of the targets being observed. Several use cases, however, need out-of-order support.

Integrating all of your monitoring alert sources is quite a task. Large enterprises often struggle to aggregate millions of data records from dozens of monitoring, change, and topology tools in real-time. Filtering out the noise and prioritizing the most important alerts are crucial to a team’s success. BigPanda makes it simple to integrate with any monitoring alert sources with Open Integration Hub. Currently, we have more than 50 easy-to-use integrations to choose from.