Operations | Monitoring | ITSM | DevOps | Cloud

Monitoring Your Dynamic Cloud Infrastructure

Fully taking advantage of cloud infrastructure includes the ability to scale up and down dynamically, taking the need and load off your services. The compute services like Amazon Web Services (AWS) EC2, Azure Virtual Machines (VM), and Google Cloud Platform (GCP) Compute Engine allow Auto Scaling of the instances of the service. This helps manage the responsiveness and costs of your cloud services by ensuring that the instance counts go up and down depending on demand.

Automating MSP Client Onboarding with LogicMonitor

Automating client onboarding can eliminate the tedious task of cloning dashboards, creating group directory structure, setting up reports, and configuring access roles. All of these tasks are prone to human error and to put it mildly, not really fun to do. In this blog, we’ll walk through a PowerShell script to automate some of these tasks.

Building New Teams While Working Remotely

2020 has been a year of challenges, and across all industries, companies are working hard and fast to remain efficient in the face of a new normal. Now that hiring freezes are slowly thawing out, many companies are starting to hire new people virtually and want to create remote cohesion between new and existing teammates. The lack of physical proximity means your team will need to ramp up on communication, transparency, and accountability.

Solutions to Strengthen Your IT Business Continuity Plan

When it comes to “business as usual,” the workflow of IT teams today likely looks quite different than it did even a few months ago. Because of this, being able to adapt and put new safeguards in place that ensure uninterrupted business operations is more important than ever. In fact, it’s a necessity.

How We Used JMH to Benchmark Our Microservices Pipeline

At LogicMonitor, we are continuously improving our platform with regards to performance and scalability. One of the key features of the LogicMonitor platform is the capability of post-processing the data returned by monitored systems using data not available in the raw output, i.e. complex datapoints. As complex datapoints are computed by LogicMonitor itself after raw data collection, it is one of the most computationally intensive parts of LogicMonitor’s metrics processing pipeline.

Proving the Value of IT

There is a value perception gap in IT. It can be a struggle to get past the historical notion that IT is a cost center, rather than a strategic arm of the business. E&Y recently surveyed 300 senior IT professionals around the globe to understand how they are perceived by their C-level executives. The survey found that 67% of CIOs engage with executive peers on matters of budgetary issues and infrastructure management. Far fewer, only 36%, engage in matters of business performance and challenges.

LogicTalks - How to Approach Monitoring during a Crisis

In this episode of LogicTalks, Mark Banfield, Chief Revenue Officer at LogicMonitor, is joined by Nancy Gohring, Senior Analyst at 451 Research to talk about how today's new realities effect how IT organizations are approaching the tools and solutions they use to retain and grow their customer base, keep employees production and their businesses up and running. From the reasons why it's a good idea to continue investments in IT technologies, to tackling tool sprawl, to some unique ways your organization could be using your monitoring solution to find efficiencies and cost savings,

Achieve Greater Network Visibility with LogicMonitor and Cisco SD-WAN

SD-WAN (Software-Defined Wide Area Networking) centralizes and automates the configuration of network devices and how they route traffic. This is increasingly important as not all network traffic is created equal; there are specific business-critical applications that are relied on more heavily than others. In addition to intelligent routing benefits, SD-WAN also allows IT managers to deploy internet-connectivity quickly, reliability, and securely.

From Monolith to Microservices

Today, monolithic applications evolve to be too large to deal with as all the functionalities are placed in a single unit. Many enterprises are tasked with breaking them down into microservices architecture. At LogicMonitor we have a few legacy monolithic services. As business rapidly grew we had to scale up these services, as scaleout was not an option.