Operations | Monitoring | ITSM | DevOps | Cloud

If something isn’t working as expected, your customers will want to know. How quickly did you know that AWS’s us-east-1 region was having issues? Was it from an article online? Customer requests flooding into your support queue? A tweet?? Not being able to get into a PUBG match? Or speaking of matches, were you unable to message your last Tinder connection?

Without unified observability, it’s stressful not having complete visibility into your application. Plus, it contributes to risky deployments. Yet we hear that many developers have poor visibility into what powers production code. Without transparency into their apps, developers cannot see: You can try navigating tickets, permissions, and dashboards that don’t tell the right story, but there are ways to solve this problem.

At LogicMonitor, the success of our customers is our biggest priority. Through product training, guidance, and support, we strive to help you optimize the maximum value out of your LogicMonitor investment. That is why we are delighted to introduce LM Concierge; the most robust, exclusive support and services offering for Enterprise customers to take their LogicMonitor journey to the next level.

Microservices are becoming increasingly popular and are considered to be the next flexible, scalable, and reliable approach. Without a doubt, many developers are rethinking their application development methods. However, while many have been quick to jump on the microservices bandwagon, it’s not a decision that you should make lightly.

The Windows Event log is an essential tool for administrators to investigate and diagnose potential system issues, but it can also be a daunting task to gain real value and separate useful log entries from noisy non-essential activity. Depending on the level of logging that can be useful, Windows events can span system issues, application-specific issues, and also dive into security type issues around unauthorized access, login failures, and unusual behavior.

Implementing SLAs, SLIs, and SLOs in an observability suite is now business-critical. Over time, a company’s decision-makers can add a burdensome number of KPIs that force servers and other IT assets to devote excessive processing time to business intelligence. Eventually, the burden becomes so great that employees, managers, and executives start to complain about the system’s sluggishness. Developers know that they need to strike a balance between business needs and IT processes.

Sifting through logs in real-time or post-mortem to pinpoint the problem can take hours – and is often like trying to find the needle in the alert/log haystack. Further, keeping the troubleshooting process efficient can be a challenge due to context switching and relying on manual interpretation of events and technology-specific knowledge.

CRUD and REST are two of the most popular concepts in the Application Program Interface (API) industry. REST was made to standardize the HTTP protocol interface between clients and servers and is one of the widely used design styles for web API. On the other hand, CRUD is an acronym used to refer to the four basic operations executed on database applications. Because both work on manipulating databases’ data, it’s easy to see why people have some confusion between them.

The primary goal of OpenTelemetry (OTEL) is to offer vendor-neutral ways of application instrumentation such that customers are able to switch between Telemetry backends. There are three main components of OpenTelemetry: OpenTelemetry SDK, OpenTelemetry API, and OpenTelemetry Collector. In this blog, we will be covering the architecture, deployment, and best practices of consuming an OTEL collector.

Real talk – logging tools aren’t exactly known for being easy to use, manage, or onboard. With the technology landscape continuously evolving, enterprises are often left scrambling to rapidly adapt and conform to new requirements of operating across hybrid infrastructures. It is in these ecosystems that logs are now more crucial than ever in the day-to-day operations of Ops teams.