Everyone says the cloud is the future. Sure, but try telling that to someone who has terabytes of sensitive data stored in an on-prem InfluxDB Open Source (OSS) instance, and they will bring up a whole set of reasons why it doesn’t make sense for them to move into the cloud right now. There are also some use cases which make more sense for on-prem software deployments.

AWS Lambda extensions enable you to seamlessly integrate third-party tooling with your Lambda environment so you can run custom code or monitoring agents alongside your functions. We’ve partnered with AWS to create a Lambda extension that offers a more cost-effective, simplified process for collecting data from your functions.

Log management encompasses the processes of managing this trove of computer-generated event log data, including: There are two ways that IT teams typically approach event log management. Using a log management tool, you can filter and discard events you don’t need, only gathering relevant information – eliminating noise and redundancy at the point of ingestion.

The need to implement 360° monitoring of a multi-service infrastructure is almost a universal truth among growing companies. With an expanding pool of clients and services to monitor, segmentation is the key to smooth operation. Monitoring with subaccounts is prime management solution. The trick is to simplify your account structure without limiting your visibility. To evaluate, we’re going to dive to a cellular level. Size matters.

The Kemp Flowmon Packet Investigator 11.1 is easier to use and covers a broader scope of root-cause analysis scenarios.

Mikhail Volkov is building observability and monitoring solutions at Volkov Labs and leading Redis plugins for Grafana. Since the Redis project first got underway in 2009, the open source in-memory data store has been embraced by thousands of companies of all types and sizes. According to Stackshare.io, well over 5,000 companies use Redis, including Uber, Airbnb, Twitter, Instagram, and Slack.

Auto-instrumenting AWS Lambda Monitoring didn’t originate through a focus group or business plan. It started as a hackathon project that addressed the tedium of removing manual code instrumentation. Developer environments often include hundreds of AWS Lambda functions. And our existing instrumentation required initialization code to be manually placed on every single function.