As both the State Of FinOps 2024 and the State Of Cloud Costs In 2024 indicate, reducing cloud waste remains a top priority for cloud-driven organizations. Cloud spenders care more than ever about cost efficiency — and CloudZero is working tirelessly to make cloud savings simpler. To this end, we’re proud to announce that we’ve added a suite of automated Azure optimizations to our already robust library of automated Insights.

SHARE Simple Network Management Protocol (SNMP) traps are messages sent by SNMP devices that notify network monitoring systems about device events or significant status changes. At LogicMonitor, our view on SNMP has evolved over the years. While we have often favored other logging methods that offered more insights and were considered easier to analyze in the past, we recognize that SNMP traps remain an essential tool in network management.

Recently, we announced the launch of Honeycomb for Frontend Observability, our new solution that helps frontend developers move from traditional monitoring to observability. What this means in practice is that frontend developers are no longer limited to a metrics view of their app that can only be disaggregated in a few dimensions. Now, they can enjoy the full power of observability, where their app collects a broad set of data as traces to enable much richer analysis of the state of a web service.

Businesses rely heavily on accurate, reliable data to inform their decisions. As the volume and complexity of data continue to grow, ensuring data quality has become a significant challenge. This is where metadata steps in. By providing essential context, metadata enhances our understanding of the data we work with, ultimately improving its quality. Maybe you are wondering how does metadata improve data quality.

Data loss can be a nightmare for businesses, especially when critical information is at risk. But there's good news—granular recovery technology is here to help! This advanced recovery method allows you to retrieve specific files, emails, or database entries without restoring the entire system. It’s a game-changer, especially in IT Service Management (ITSM) environments where precision and efficiency matter.

In simple terms, containers are a standard package of software that enable applications to run consistently across different computing environments. Often, these applications are broken down into smaller collections of independent services known as microservices. For many organizations, these microservices-based applications have replaced traditional monolithic applications because they offer increased performance, flexibility, and scale.

Log forwarding can be seen as the first step towards centralized log management. With centralized log management, your organization can gain from enhanced visibility, monitoring, and analysis capabilities, making it a coveted practice for numerous organizations. Log forwarding is crucial for maintaining robust IT security and operational efficiency, allowing organizations to manage and analyze logs from multiple systems in a centralized, scalable manner.

So far, we’ve detailed the Autonomic IT maturity model and discussed the characteristics of the early stages of that journey, progressing from “Siloed IT” to “Coordinated IT” and then to “Machine-Assisted IT in recent blog posts.” Wherever your organization is on this journey, there is likely still work to be done.

While building Sentry, we also use Sentry to identify bugs, performance slowdowns, and issues that worsen our users’ experience. With our focus on keeping developers in their flow as much as possible, that often means identifying, fixing, and improving our integrations with other critical developer tools. Recently, one of our customers reported an issue with our Slack integration that I was able to debug and resolve with the help of our Trace View.

Managing IT operations is becoming more complex with the rapid evolution of IT environments. As a result, leaders are looking for more efficient, intelligent ways to monitor and maintain their IT systems. AIOps has evolved as one of the most promising solutions in recent years. AIOps uses machine learning (ML), big data, and automation to streamline IT operations.