Product launch day is our favorite here at Cribl. It’s the culmination of hard work from our entire team and, better yet, the first time our customers get their hands on our latest innovations. And today is a big one. Our newest product, Cribl Search, is now generally available on Cribl.Cloud.
So, you’ve decided to use Azure as your primary cloud platform and want to calculate your infrastructure costs. You estimate them based on listed prices, and rest assured that your startup/project will meet its budget. And then, suddenly, at the end of the month, you receive an invoice from Azure for an amount two times higher than you originally expected.
Fluentd is an open source data collector capable of retrieving and receiving event data from several sources and then filtering, buffering, and routing data to different compatible destinations. It utilizes a plug-in system to help you quickly set up specific inputs, apply any required filtering, and send data to your preferred data ingestion platform. Fluentd supports multiple sources and destinations, and it can be deployed to multiple operating systems, including Windows, Linux, and macOS.
Time series databases can help telecommunications companies become more reliable, efficient and productive. The telecommunications industry is undergoing rapid change as a handful of new technologies and government actions change the underlying business landscape and create space for new companies to innovate and disrupt the established players.
InfluxDB has over a dozen client libraries so developers can get started more easily and program in the language they’re most comfortable with. One of our most popular options is the Python client library. InfluxDB supports not just Python but pandas, a tool popular with data scientists for analyzing and manipulating data. You can use the client library to output data from InfluxDB into a DataFrame format pandas can ingest, and you can write pandas DataFrames directly to InfluxDB.
Using scripts with a time-series database helps developers streamline application development, scale workloads and build lean integrations. Time-series data is everywhere, and that reality isn’t going to change. The very nature of time-series data means that time-series workloads differ from a lot of other kinds of data. Given the prevalence of time-series data in our modern, connected world, it’s more important than ever to ensure that developers have tools to manage it.
Businesses face tough competition for employees in today’s job market. According to McKinsey research, 89% of employees want to feel they’re living their purpose. For 70% of survey respondents, that sense of purpose is largely tied to their work. If an employer doesn’t meet that need, many workers will flee to a company that does. Cultivating a climate that helps workers fulfill their purpose is vital—and can lead to increased employee satisfaction and decreased turnover.
You can now use Checkly to monitor API endpoints secured with TLS Client Certificates. This post dives into why and how you would use client certificates and mTLS (Mutual TLS) in your API infrastructure. Let's go!
