Moving applications to a public cloud, no matter why you’re making that journey, is a high-stakes proposition. As an industry, we’re focused on rapidly moving forward to give our businesses the competitive edge they need. However, when it comes to cloud migration, we often fail to stop and ask some critical questions, and as a result we end up overspending and underperforming.
A world-leading genomic research centre, the Wellcome Sanger Institute uses advanced DNA sequencing technology for large-scale studies that surpass the capabilities of many other organisations. Among other works, the Institute is currently heading the UK-wide Darwin Tree of Life Project to map the genetic code of 60,000 complex species.
As Covid-19 continues to dramatically affect the world, Interlink Software is squarely focused on supporting its customers and partners to continue to serve the thousands of employees and customers reliant on their services. Without the luxury of detailed, strategic planning, our customers have been forced to adapt at speed to current events, supporting an unprecedented number of employees as they transition to working from home. Interlink Software included.
All you telecom engineers out there must have already heard of fault management, right? Well, those of you who haven’t yet heard of it and need to understand what it’s about, worry no more! I’ll help you. Let’s start by defining the term.
In February, we announced the general availability of InfluxDB on Google Cloud, as well as a rich set of integrations that allow you to use our time series data platform to monitor your Google Cloud services, store sensor data from Google IoT core, and send your time series data to Pub/Sub for analysis on Google AI Platform.
Kafka is a distributed, partitioned, replicated, log service developed by LinkedIn and open sourced in 2011. Basically it is a massively scalable pub/sub message queue architected as a distributed transaction log. It was created to provide “a unified platform for handling all the real-time data feeds a large company might have”.Kafka is used by many organizations, including LinkedIn, Pinterest, Twitter, and Datadog. The latest release is version 2.4.1.
If you’ve already read our guide to key Kafka performance metrics, you’ve seen that Kafka provides a vast array of metrics on performance and resource utilization, which are available in a number of different ways. You’ve also seen that no Kafka performance monitoring solution is complete without also monitoring ZooKeeper. This post covers some different options for collecting Kafka and ZooKeeper metrics, depending on your needs.
Kafka deployments often rely on additional software packages not included in the Kafka codebase itself—in particular, Apache ZooKeeper. A comprehensive monitoring implementation includes all the layers of your deployment so you have visibility into your Kafka cluster and your ZooKeeper ensemble, as well as your producer and consumer applications and the hosts that run them all.
Jenkins is an open source, Java-based continuous integration server that helps organizations build, test, and deploy projects automatically. Jenkins is widely used, having been adopted by organizations like GitHub, Etsy, LinkedIn, and Datadog. You can set up Jenkins to test and deploy your software projects every time you commit changes, to trigger new builds upon successful completion of other builds, and to run jobs on a regular schedule.
