Operations | Monitoring | ITSM | DevOps | Cloud

When it comes to data storage, all data isn’t equal. After all, the data you use daily doesn’t need the same level of protection or ease of access as long-term hot storage vs. cold storage backup. A large percentage of a business’ data remains unleveraged due to data management and security challenges, which highlights the need to implement a data storage strategy.

Container technology is changing the way we think about building, shipping, and running applications. Containers are lightweight packages of software that include everything it needs to run an application. This includes operating system components as well as libraries and other dependencies. Emerging technologies such as Docker and Kubernetes empowers organizations to deliver quality software with speed and ease.

How many times in your life have you heard the saying, “Time is money”? Time is valuable, and it’s one of the scarcest resources we have.

Over the past two years, we have been on a journey to provide the tools you need in order to achieve unified, end-to-end observability in real-time across your entire business. We believe that true observability gives you the confidence to embark on your cloud and digital transformation initiatives. LM APM empowers ITOps and DevOps teams with the context they need to continue delivering quality user experiences while seamlessly correlating all of this data in one easy-to-use platform.

Cloud computing is vast. It encompasses a huge range of architectural styles, classifications, and types. This complex computing network has transformed the way we work and is a crucial part of our daily lives, both at home and at work. For organizations, there are many ways to “cloud”, but let’s start with the basics of cloud computing; the internet cloud.

Unlike physical stores and organizations that operate during set hours, the IT world never sleeps. In today’s highly connected digital environment, many believe that when an investment is made in technology, it should be accessible at all times — which is virtually impossible to guarantee. Since disruptions occur, organizations should evaluate the services needed to run operations smoothly. For example, what services are required during an IT service outage to ensure minimal disruptions?

Docker containers are a great way to create lightweight, portable, and self-contained application environments. Logging is critical for every application since it gives valuable information for troubleshooting, evaluating performance issues, and drawing an overall picture of the behavior of your architecture. This article presents a thorough tutorial covering all you need to know to start with Docker logging. It also provides some recommended practices for optimizing the logs of your containerized apps.

Here at LogicMonitor, we’re really big on extensibility and automation. We’re constantly adding to our catalog of monitoring coverage and ensuring that setup is as simple as possible. We also monitor almost any data you can expose on a network. People have done way more with LogicMonitor than we would have ever imagined, and I’m extremely excited to announce our next step in that commitment to extensibility and automation.

OpenTelemetry is a project by the Cloud Native Computing Foundation aimed to standardize the way that application telemetry data is recorded and utilized by platforms downstream. This application trace data can be valuable for application owners to understand the relationship between the components and services in their code, the request volume and latency introduced in each step, and ultimately where the bottlenecks are that are resulting in poor user experience.

In this blog series, we share the application instrumentation steps for distributed tracing with OpenTelemetry standards across multiple languages. Earlier, we covered Java Application Manual Instrumentation for Distributed Traces, Golang Application Instrumentation for Distributed Traces, Node JS Application for Distributed Traces, and DotNet Application Instrumentation for Distributed Traces. In this blog post, we are going to cover.