Operations | Monitoring | ITSM | DevOps | Cloud

Implementing Google Ads can be complicated. If done incorrectly, it negatively impacts your website’s performance. Fortunately, there is a new Google Lighthouse plugin tailored specifically to find problems with your Google ad implementation.

Organizations leverage many different cybersecurity and observability tools for different departments. It’s common to see the IT department using Splunk Enterprise, while the SOC uses Exabeam. Both of these tools use separate agents, each feeding different data to their destinations. Normally this isn’t a problem unless you’re talking about domain controllers. Domain controllers only allow a single agent, meaning you can’t feed two platforms with data.

One year ago, we launched Cribl.Cloud as a cloud-hosted option for our industry-leading data pipeline product, Cribl Stream. Customers had a choice of either deploying on-premises with a subscription-based tiered license model or opting for our cloud service with a similar tiered billing model. Fast-forward one year, and Cribl is now a multi-product company with several unique observability products (Stream, Edge, AppScope, and soon Search) to offer our customers.

Usually, maintenance is performed based on two factors first is when asset failure has occurred and second is scheduled maintenance. In both cases, asset maintenance is done when the asset is in good condition or when it is too late. This is where condition-based monitoring maintenance comes into play. This maintenance is proactive, and maintenance is given to assets when it is required. For this purpose, assets are inspected regularly, several asset tracking techniques are used such as IoT.

Data laying all around an enterprise’s premises and over the cloud is of no use unless it forms part of a bigger and clearer picture. This is what a data stack does by helping enterprises leverage data to its fullest potential- it turns raw data into insights that can be acted on and lead to business benefits. The complicated modern enterprise of today cannot make do anymore with the obsolete ways of data management.

The job of a financial planning and analysis (FP&A) professional is to oversee the building of financial models, track budgets, and partner with stakeholders across their organization to make better decisions. For FP&A professionals in charge of partnering with engineering and product organizations, this means understanding how investments in innovation, from software purchases to headcount, are driving business outcomes. Like any team in an organization, this comes with its own unique set of challenges.