Operations | Monitoring | ITSM | DevOps | Cloud

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.

Microservice architectures are everywhere these days. Even internal enterprise applications—which have typically been structured as self-contained monoliths—are now being designed using a microservices architecture. There are definite advantages to a microservices architecture. Breaking an application into discrete, independent chunks—basically mini apps—gives you enormous flexibility. But this flexibility dramatically increases complexity, especially when things go wrong.

With the Honeycomb extension for AWS Lambda, you no longer need to make your Lambda functions Honeycomb-aware. Today, AWS announced the general availability of AWS Lambda Extensions, which make it easy for us to send logs from your Lambda functions directly to Honeycomb. In October, we announced Honeycomb’s extension for AWS Lambda as part of a preview launch. Today, we’re pleased to announce everyone can now use this extension to easily debug their AWS Lambda functions with Honeycomb.