While the Docker buzz has faded a bit, replaced by new words like “Kubernetes” and “Serverless”, there is no arguing that Docker is the default toolchain for developers looking to get started with Linux containers, as it is fairly ubiquitous and tightly integrated with a variety of platforms.
How do you secure your network servers, laptops, desktops, and workstations? A good starting point is to have a checklist of how to enable security features on these devices. You also need to enable a server monitoring service to track specific events and generate event logs. Yet, your security tasks are never done. You can get a false sense of security if you merely go through your checklist of security items and stop.
In this article, learn which API metrics you should watch and how Uptrends’ API Monitoring can help you with API tracking and reporting. It is important to know the availability, speed, and validity of API responses whether you publish an API for consumption or your website or app relies on one or more APIs. If an API slips in any of those areas, you’ve got potential trouble. Uptrends API Monitoring has multiple ways to enable you to safeguard your APIs.
Let’s say you get an alert that one or more queries is slow. Or that your users complain, whichever comes first 🙂 We’ve all been there… How do you find the root cause for this slowness and then fix it? In this article, I’ll go through my usual thought process: first, I’d try to find which queries are slow. Then, I’d dig deeper: Let’s take a specific example and run through each step.
As a customer-focused company, which pays a lot of attention to its client’s needs and requests, while keeping pace with the market dynamics, VirtualMetric has always followed the approach of continuous product development. Our ongoing improvement process allows us to develop, test and release new features and product capabilities of your all-in-one monitoring software at short time intervals.
A couple of days ago, Elastic announced that it will change the licensing of Elasticsearch and Kibana as of the 7.11 release to a proprietary dual license (under the SSPL license) and away from the open-source Apache-2.0 license. This move has caused extensive turmoil and frustration in the open-source community, especially with organizations that rely on Elasticsearch. Let me start with the end in mind.
In order to continuously improve your Ruby application, you need to understand everything your code touches. That means visibility into how your frontend responds to the database queries that are central to your Ruby application. Sentry’s new Ruby SDK collects and monitors the data surrounding your traces, logs, and key metrics. With it, you now have the context to connect backend issues to frontend performance.
Yup – we've now got a health explorer for Azure VMs! Health Explorer… now why does that sound familiar? You’ve probably guessed it by now, but here’s another hint: Hmm…now where have I seen that before? Right – in SCOM!
In our previous guide, we documented 10 Docker anti-patterns. This guide has been very popular as it can help you in your first steps with container images. Creating container images for your application, however, is only half the story. You still need a way to deploy these containers in production, and the de facto solution for doing this is by using Kubernetes clusters. We soon realized that we must also create a similar guide for Kubernetes deployments.
