Operations | Monitoring | ITSM | DevOps | Cloud

Processes—the service workloads that run on your infrastructure—are the building blocks of your application, and it’s critical to know how well they operate at every level of the stack. Degraded process performance can lead to downtime for your mission-critical services, resulting in loss of customer trust and potentially impacting revenue for the business.

Cloud costs are notoriously hard to predict—trickier than deciphering the emotions of a housecat. Traditional cost management tools leave many companies with a lack of visibility into where their money is going, which holds back engineering teams from making informed savings decisions. These tools also fail to bridge the gap with finance teams, who speak a different language than their developer counterparts.

Predictive analytics are a powerful tool, enabling organizations to make informed data-driven decisions. These tools are far-reaching and can deliver impactful results, either in the long term, like supply chain management and overall equipment effectiveness, or in the short term, like anomaly detection. Let’s take a look at what predictive analytics are and how to power predictive analytics engines for continued, meaningful insight into your data and operations.

It was only as I started to study information theory that I truly understood how nonsensically the computer worked in Star Trek: The Next Generation. Decades before voice assistants and at a time when only the most basic language parsing existed in practice, the computer on Star Trek could always give you the answer you wanted. No one ever spent any time clicking into multiple windows to find an answer, and the display always gave information that could be easily summarized in words.

As an organization, you likely have many choices on where to store, analyze, and correlate your data. Those choices may change or iterate over time, so having an easy way to route data is needed. Enter Cribl Stream, which can route your data where it needs to go and save some effort, time, and money. It can help with organizational-wide initiatives like migrations and consolidations but can also help with smaller-scale initiatives and your day-to-day tasks of simply getting data in.

Can the two coexist, and if yes, then how?

As the person on the front lines, you know that providing the best service possible can be what makes your ITSM organization succeed. Every day, you work to build the relationships that help your organization create value for end-users. However, when you have inefficient processes, you end up having to be the person responding to an upset user.

The size of the web is slowly growing. Over the past decade, the average webpage weight grew by 356%, from about 484 KB to 2.205 MB. Considering 800 KB was the average size of a website in 2012, that’s an enormous difference. While it’s true that the global average internet speed is increasing, users with slow, limited, or unreliable internet access often end up waiting. The question is, how do we keep websites fast even as they get bigger and bigger?

Network scale, health, and performance continue to play an increasingly critical role in the modern enterprise. With substantial and ongoing investment in monitoring and observability tools, businesses strive to more efficiently manage their networks and infrastructure. However, a combination of new networking technologies, increasing complexity, and reduced headcount is putting pressure on their disjointed legacy ecosystem.