Operations | Monitoring | ITSM | DevOps | Cloud

ManageEngine named a Strong Performer in The Forrester Wave: Unified Endpoint Management, Q4 2023

Drumroll, please! The eagerly anticipated report, The Forrester Wave™: Unified Endpoint Management, Q4 2023, is out, and we are thrilled to announce that we have been recognized as a Strong Performer. We believe this recognition is a significant milestone in our journey towards innovation and excellence, solidifying our position as a key player in the UEM market.

The role of observability in incident response

Observability has brought a new approach to IT infrastructure management, easing the workload on IT admins across the world and bringing more accuracy and efficiency. One of the clear beneficiaries of this evolution in IT infrastructure management is incident response. Incident response is the systematic process of identifying, analyzing, and mitigating security threats, breaches, or operational issues to minimize their impact on the continuity of business operations.

Transitioning from lz4net to K4os.Compression.LZ4

At Raygun, we’re processing billions of events per month for our customers, so it’s well worthwhile looking for the most efficient data storage solutions. Way back when we started out, we chose lz4net to store data, which served our purposes well for many years. As we grew, though, we realized this was getting expensive, and was starting to undermine our business model. This post is focused on how we made the switch to the K4os.Compression.LZ4 rewrite, attaining significant performance gains.

Home Staging: Best practices for real estate asset management

Effective inventory management is a key factor in the success of a home staging business. With the many pieces of equipment in your inventory, it is essential to have an organized system for tracking inventory levels. So how important is it to properly manage your inventory? And how do you manage it effectively?

The Future of Network Monitoring: AIOPS Trends to Watch in 2025

Network monitoring is the process of continuously scrutinizing a computer network for failures or deficiencies to ensure availability and performance. AIOps (Artificial Intelligence for IT Operations) is an umbrella term for the integration of artificial intelligence (AI) technologies into network operations. It involves using machine learning, analytics, and big data to automate and enhance IT operations.

Document Azure Environment to monitor Azure usage

As cloud adoption expands, subscribing and provisioning resources increase day by day. Regular analysis and assessment are essential to monitor usage, ensuring that cloud resource spending remains efficient and minimizing waste. The assessments can be made using many ways but will need some level of technical competence and regular maintenance: Not all stakeholders will have access and the necessity to check through these tools.

Business Process Design Definition and Tools, With David Mainville

Business process design is the starting point of any solid business strategy. This runs for Service Management, but it can also be applied to the rest of the enterprise. It creates a roadmap for teams to follow and incorporate to their workflows, guaranteeing operational efficiency and that technology is being leveraged at its full potential.

Advancing Cloud Monitoring: Benefits of Synthetic Monitoring

The cloud changed how businesses work, making things more flexible and adaptable. But keeping track of app performance from a user’s point of view in this new setup is tough. Legacy tools tend to not give developers an understanding of their users' perspective. That's where synthetic monitoring comes in. It's a strong way to focus on users and fix the problems that legacy tools miss.

Building a comprehensive toolkit for machine learning

In the last couple of years, the AI landscape has evolved from a researched-focused practice to a discipline delivering production-grade projects that are transforming operations across industries. Enterprises are growing their AI budgets, and are open to investing both in infrastructure and talent to accelerate their initiatives – so it’s the ideal time to make sure that you have a comprehensive toolkit for machine learning (ML).