Operations | Monitoring | ITSM | DevOps | Cloud

LogicMonitor is a Software-as-a-Service (SaaS-based) technology infrastructure performance monitoring platform. This blog breaks down how LogicMonitor’s SaaS platform works from two different perspectives- architectural building blocks and data lifecycle in the LogicMonitor platform.

ServiceNow Founder Fred Luddy once said, “If you have happy customers, the whole world takes care of itself.” It’s a sentiment ServiceNow believes to this very day, and it’s why we introduced ServiceNow Impact™—an industry-leading value acceleration solution that reimagines the customer experience.

In previous blog posts, my colleagues and I have introduced and explored the Calico eBPF data plane in detail, including learning how to validate that it is configured and running correctly. If you have the time, those are still a great read; you could dive in with the Calico eBPF Data Plane Deep-Dive.

UPDATE 6 April 2022: There are times where we have to revisit our plan, and today is one of those times. Last week, we released a fix to solve some inconsistencies in how our development URLs are generated. Even though this change was not impacting any production environments, many customers reported that it was breaking their test integrations with third-party services, or that they were reaching a provisioning limit with our Let’s Encrypt certificates.

Distributed tracing is a household term nowadays – if your house is an IT department! Modern enterprises use cloud-native applications for agility and responsiveness to customer needs. When monitoring cloud-native applications, distributed tracing follows how transactions perform while traversing services or containers in the backend architecture. By definition, we’re describing production applications with requests, methods, database calls and logs that accompany a transaction.

If you’re new to OpenTelemetry, like I was, you might be wondering how to quickly get started. OpenTelemetry is becoming the gold standard to collect all of your machine data and is changing observability as we know it. Instead of learning multiple technologies to collect all data, you can leverage a single cloud-native framework to complete your observability.

OK, first things first. I have to admit that I am, first and foremost, an old-school UNIX systems administrator. I’m that grizzled sysadmin in your shop who soliloquizes wistfully about managing UUCP for email “back in the day.” Centralizing Logs? Yeah, we had syslog, and saved it all off to compressed files.

Shipping complex applications at high velocity lead to increased failures. Longer pipelines, scattered microservices, and more code inherently lead to bigger complexity where small mistakes may cost you big time.

DynamoDB, the primary NoSQL database service offered by AWS, is a versatile tool. It’s fast, scales without much effort, and best of all, it’s billed on-demand! These things make DynamoDB the first choice when a datastore is needed for a new project. But as with all technology, it’s not all roses. You can feel a little lost if you’re coming from years of working with relational databases. You’re SQL and normalization know-how doesn’t bring you much gain.

Red teaming is the practice of asking a trusted group of individuals to launch an attack on your software or your organization so that you can test how your defenses will hold up in a real-world situation. Any organization reliant on software – including banks, healthcare providers, government institutions, or logistics companies – is potentially vulnerable to cyberattacks, such as ransomware or data exfiltration.