Operations | Monitoring | ITSM | DevOps | Cloud

Understand how to calculate the composite reliability of your cloud infrastructure to help design Cloud architectures with an optimal SLA.

The drive for faster, more scalable services is on the rise. Our day-to-day lives depend on apps, from a food delivery app to have your favorite meal delivered, to your banking app to manage your accounts, to even apps to schedule doctor’s appointments. These apps need to be able to grow from not only a features standpoint but also in terms of user capacity. The scale and need for global reach drives increasing complexity for these high-demand cloud applications.

Are you trying to choose between Grafana and Splunk, but can't find enough information about their capabilities? In this blog, we highlight the details of why a user should select Grafana OR Splunk as part of their monitoring stack and what are the user benefits of each. Also, you can check out what it's like to make your own Grafana dashboard using our MetricFire free trial. Get onto the product in minutes and see if you prefer Grafana over Splunk.

As of 2022, 49% of enterprise workloads and data are in a public cloud, and that number is expected to increase by 6-7% over the next year. Why? With big cloud moves come big benefits: optimized performance, reduced management overhead, and cost savings on data centers. However, it also comes with the struggle to get a handle over never-ending data growth. Customers are looking to Cribl to help route and process that data at scale and need a seamless way to get started within minutes.

Much like wine (😉), having data doesn’t mean you have quality data. Today it's easier than ever to get data on almost anything. But that doesn’t mean that data is inherently good data, let alone information or knowledge that you can use. In many cases, bad data can be worse than no data, and it can easily lead to false conclusions. So, how do you know that your data is reliable and productive? This is what we call data quality.

In-context dashboards for Google cloud storage, customizable, create alert, view logs for better storage system insights at project level and bucket level.

Redundant logs are a common nuisance in observability pipelines of all kinds. In large environments, excess logs can multiply data costs to unsustainable amounts. Log sampling is the process of randomly sampling logs to produce the same valuable insight with dramatically reduced data flow. Configuring agents in a pipeline to appropriately sample logs can be a pain. Pipeline managers, like BindPlane OP, make that process simple and scalable.

It’s that time of year again! If you’re not a procrastinator, you’ve probably already blown out your sprinklers for winter and are looking forward to the snow and holidays ahead. Well done, irrigation purists! I, on the other hand, am an olympic-level procrastinator and will usually wait until the last moment before NWS forecasts a 10″ snow for the night then frantically search for my air compressor.

Opportunities for growth are all around us, but it takes the ability to be open and an eager growth mindset to see them. In this episode, David Noblet, Co-Founder + Chief Architect at ChaosSearch, shares how he and his team find innovative ways to improve digital services for their clients by constantly taking inspiration from their daily lives.