Operations | Monitoring | ITSM | DevOps | Cloud

HAProxy is generally the frontend layer of your application, which means it plays a critical role since all traffic first lands on this layer. Because of this, you need to make sure everything is working at this layer all the time, as any issue can directly impact your business. Therefore, having visibility on this layer is crucial. Visibility can come from two aspects: the metrics HAProxy emits and the logs it generates while handling requests.

Today, we're announcing the launch of Honeycomb Service Map. This isn't your grandparent's version of a service map. This feature reimagines what it is that you want to know or investigate when looking at visualizations of how your services communicate with one another.

You might think that colocation has been replaced by the cloud. But that’s only true in marketing terms. The reality is that colocation and the role it plays in modern edge computing has never been more important or more required. Believe it or not, cloud computing doesn’t happen in the actual sky – it happens in a data centre. And knowing where that data centre is, and how fast it links to your network and the internet, can be challenging with hyperscalers.

When it comes to cloud computing and the migration of services to the public cloud, we’ve been hearing the hype for years. “Just migrate to the cloud and everything will just work. Things will be bigger, faster, cheaper, and better.” The reality is that a migration to the cloud can result in serious disappointment from unrealistic expectations.

Employee engagement is the key to boosting IT workplace productivity in an organization. But bad digital employee experience (DEX) can result in disengagement, hurting your company’s net income and increasing employee turnover. According to Gallup’s 2022 Workplace report, disengaged employees cost the global economy a whopping $7.8 trillion loss in productivity. For US companies, the cost is around $350 billion for a single year.

Kafka vs RabbitMQ – A side-by-side comparison of the performance and architectural differences between the two popular open-source messaging systems. As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Rabbit MQ vs. Kafka – Which one is a better message broker?

A reliable database system is necessary in the IT operations of an organization to ensure unhindered delivery of information. This is especially true when it comes to business-critical applications, as disruptions in a database system directly impact the end-user experience, ultimately harming your revenue and reputation. Learn about the difficulties inherent to database systems and how monitoring helps resolve these problems.