Operations | Monitoring | ITSM | DevOps | Cloud

The DNS is the most critical part of network infrastructure and the only doorway to the internet. We at ManageEngine, a division of Zoho Corp, understand this criticality well and have carefully designed software that helps IT infrastructure management professionals securely manage their domains’ DNS records and elude modern problems in DNS management. We’re excited to introduce ManageEngine CloudDNS, the first critical infrastructure management software in our portfolio.

With Datadog’s Dash conference right around the corner, we at Cortex have been thinking a lot about best practices for observability. To get the most out of an application performance monitoring (APM) vendor like Datadog, you want to make sure monitoring and observability are built into launch and production readiness checklists.

Debugging is an unavoidable part of software development, especially in production. You can often find yourself in “debugging hell,” where an enormous amount of debugging consumes all your time and keeps the project from progressing. According to a report by the University of Cambridge, programmers spend almost 50% of their time debugging. So how can we make production debugging more effective and less time-consuming?

The Cambridge English Dictionary defines a silo as “a part of a company, organization, or system that does not communicate with, understand, or work well with other parts.” Siloing can exist at various organizational levels: siloed departments, siloed teams within a department, and even siloed engineers within a team. In any industry, siloing can cause issues with alignment, communications, and overall delivery, but in fintech, there are additional risks.

From its inception as a powerhouse for logging, Elastic Observability has grown into a comprehensive solution for full-stack multi and hybrid-cloud observability. Given the increasing complexity of the cloud-native world, the major challenge for observability is twofold: getting deeper and more frictionless visibility at all levels of applications, services, and infrastructure, and making sense of the overwhelming amount of data that is available.

One of Icinga’s greatest strengths is its ability to integrate with other systems and use those systems’ data to enrich monitoring. It can write time-series data to InfluxDB, Graphite or even Prometheus with our icinga2-exporter. It can talk to different data sources so that hosts and services can be created and managed automatically. This means that lots of manual work is eliminated.

Welcome back to our monthly product updates - SigNal! So happy to share with everyone that we were trending on the first page of Hacker news over the weekend, and the whole team was so upbeat about it. Last month, we shipped a lot of dashboard and documentation improvements to make SigNoz better for our users. We also participated in conferences, gave talks on open source, and sipped a lot of coffee! Let us see what humans of SigNoz were up to in the month of September 2022!

To improve reliability, we need to measure it, and to measure it we use SLOs (Service Level Objectives). Or at least, that’s what Google SRE has popularized. In practice, it can be difficult and time-consuming to identify the right things to measure, to get to the right data, and to surface the results in a way that engages the stakeholders and teams involved. And all this is especially hard as we scale our teams and applications across multiple technology stacks.

A recent Honeywell survey reinforced something many in the MSP world already knew: data centers need managed service providers. 96% of facility managers indicated remote management is important, but only 34% had remote management capabilities in place. That’s surprising in a digital world where data centers enable critical business functions and an epic business opportunity for MSPs looking to enter the data center world.