Stability and resiliency of cloud services are top of mind for organizations today. Whether rising to the challenge of a surge in pandemic-driven demand, or fire fighting an unexpected outage, you still have to support your own customers.
A common challenge that I see when working with customers involves running complex statistics to produce descriptions of the expected behaviour of a value and then using that information to assess the likelihood of a particular event happening. In short: we want something to tell us, "Is this event normal?". Sounds easy right? Well; Sometimes yes, sometimes no. Let's look at how you might answer this question and then dive into some of the issues it poses as things scale-up.
If you did your holiday shopping online this year, you’re not alone. Cyber 5, the five days between Thanksgiving and Cyber Monday, represented one-fifth of all eCommerce sales for November and December in 2021 (despite a slight decline in overall spending since last year). Americans shelled out $8.9 billion on Black Friday deals and $10.7 billion on Cyber Monday specials.
In the second half of 2021, eG Innovations partnered with the DevOps Institute to conduct an online survey of more than 900+ individuals from Sys Admin, DevOps, SREs, and other IT backgrounds. We asked questions about: Some of the results included: You can download the full survey results here: Cloud Technology Adoption Trends | eG Innovations If surveys and statistics on technology adoption are of interest, we have some other recent ones available, conducted in the last 12 months,.
Four months into this new gig at Cribl, I wish I could bottle up that “lightbulb” moment I get when walking people through how Cribl LogStream can help them gain better control of their observability data. So I hope the scenario walkthroughs below will capture some of that magic and shed some light on how LogStream can improve your organization’s data agility – helping you do more with your data, quickly, and with less engineering resources.
You may have noticed a few changes around here. If you explore our new website, you’ll notice new products, expansions to our open source libraries, significant contributions to our favorite open source project, OpenTelemetry, and new integrations with Google Cloud. You might just think we’re taking “new year new me” a little too seriously, but in fact we’ve been planning some of these changes for a long time. It all stems from our firm belief in open source technology.
Stackify Retrace primarily supports Java, .NET, PHP, Nodej.js, Ruby, and Python applications. New Relic supports Java, node.js, Python, Go, PHP, .NET, and Ruby. On the other hand, Scout APM supports Ruby, Python, Node.js, PHP, Elixir & Phoenix, in addition to Error Monitoring, Database Monitoring and External Services Monitoring.
Once you have set up your Prometheus data sources in Grafana, it’s time to put them to work. In the one-minute tutorial video below, we show you how to build a query in Grafana 8.3 with Grafana’s easy-to-use Explore mode. Prometheus uses a query language called PromQL. If you are already familiar with PromQL, you can simply enter your query in the text field and run the query.
Since the pandemic struck, education has moved even further online. Many schools are now actively transforming their programs to ensure uninterrupted remote education of high quality. This means device deployments have commonly grown to 1-to-1 — every student now has a laptop. At the same time, budget constraints don’t allow buying subscription plans for all the software schools and educational institutions need. Sounds familiar?
