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!
