In our ongoing efforts to make it easier to automate monitoring environments we recently introduced a new module for Icinga Web 2. This module is first and foremost a platform which lets you have an overview over all the certificates you are using in your environment to prove the identity of your devices. You can take a quick glance or a very detailed look at them.
We’re very pleased to announce the official launch of our new Java tracer for AWS Lambda. This release extends Lumigo’s real-time monitoring and observability tools to all JVM-based AWS Lambda applications, with support for Apache Groovy, Scala and Kotlin among others.
If you are frustrated by your clients needs slipping through the cracks when you shift from one software to another while completing different tasks; you are just one among many. You might have tried dozens of project management techniques and tools to meet your employees’ and clients’ needs, but some were either slow, expensive, or could not run tasks of your whole business.
Distributed tracing has become a de-facto standard for monitoring distributed architectures, helping engineers to pinpoint errors and identify performance bottlenecks. Zipkin is one of the popular open source “tracers” available in the market, and I’m now happy to inform our users that we’ve recently introduced a new integration that allows users to easily ship trace data collected by Zipkin to Logz.io!
XDP or Express Data Path arises due to the pressing need for high-performance packet processing in the Linux kernel. Several kernel bypass techniques (DPDK being the most prominent one) aim to accelerate network operations by moving packet processing to user space.
TimescaleDB is an open source database packaged as a Postgres extension that supports time series, but “it looks as if it were just Postgres,” said Timescale’s Head of Product, Diana Hsieh. “So you can actually use the entire ecosystem. You can use all of the functions that are enabled in Postgres – like JSON indexes, relational tables, post JSON – and they all work with Timescale.”
Whew. May is over, finally. It’s such a rude month, pretending like its summer when it actually is not summer. Get out of here, May. Anyway, hello, June! Here’s everything we shipped in May. Enjoy.
In an increasingly connected world that moves faster every day, everyone’s always trying to get more done in less time at work. Are you enjoying the most productive Mattermost experience? To increase your productivity on Mattermost, you may want to consider giving keyboard shortcuts and slash commands a spin.
Kafka is an open source real-time streaming messaging system and protocol built around the publish-subscribe system. In this system, producers publish data to feeds for which consumers are subscribed to. With Kafka, clients within a system can exchange information with higher performance and lower risk of serious failure. Instead of establishing direct connections between subsystems, clients communicate via a server which brokers the information between producers and consumers.
Creating a topic in production is an operative task that requires awareness and preparation. In this tutorial, we’ll explain all the parameters to consider when creating a new topic in production. Setting the partition count and replication factor is required when creating a new Topic and the following choices affect the performance and reliability of your system.
