Sensu is an extremely powerful standalone monitoring framework, but the real beauty of Sensu lies in its ability to harmoniously interact with, support, and instrument other tools to create a customized and complete monitoring solution. Take metrics for example: Sensu offers multiple mechanisms to monitor performance metrics such as check output metric extraction and StatsD.
Amazon Elastic Container Service for Kubernetes (EKS) makes it easier to operate Kubernetes clusters, but performance monitoring remains a top challenge. AppDynamics seamlessly integrates into EKS environments, providing insights into the performance of every microservice deployed, all through a single pane of glass.
The Content Match feature has the potential to detect and protect against page defacement, as well as fulfilling a few other handy use-cases. Today we’re going to take you through a few of the most common uses of this feature to help you ensure you are getting the most out of it!
Congratulations! You have Foglight installed and it is collecting meaningful performance data. There’s no doubt it is providing a ‘smorgasbord’ of actionable information about your mission-critical environment. Help yourself to delicious servings of baseline data, proactive alerts, and custom dashboards and reports. Now make room for dessert! Foglight is probably best known for its generous helping of PI. PI is an abbreviation for Performance Investigator.
Ziv Levy, Software Engineer at Wix (a Sentry customer), recently faced two challenges: simulating a bug in Wix code and testing report data. His recent blog post, Meet Raven TestKit: Wix Engineering’s Open Source Tool to Test Sentry Reports, dices into how a plugin for Sentry’s Raven SDK helped him tackle those challenges, with specific documentation detailing what made the choice so simple. Read the post below, and then go try Raven TestKit for yourself (please, and thank you).
The recent 5.1 release focused on smoothing out the rough edges from the 5.0 release. The major highlights of the Grafana 5.2 release are these two much-requested, long-awaited features.
Microsoft recently released Azure Kubernetes Service (AKS), a managed service that helps you deploy, run, and scale Kubernetes clusters. We’re pleased to share that Datadog’s integrations with Kubernetes and Azure Monitor can give you comprehensive visibility into your AKS infrastructure with no additional configuration.
You know what’s not fun for DevOps engineers? Manually investigating and troubleshooting issues within their applications. It’s also no longer feasible in today’s highly complex and fast moving IT landscape. Gone are the days of using legacy on-premises tools for modern applications and infrastructures because they simply aren’t compatible.
An incident postmortem is an excellent framework for learning from incidents and turning problems into progress. It also builds trust with customers, colleagues, and end users (basically the folks affected by the incident) and lets them know your team is working to minimize future incidents and impact.
Supporting a growing software team is a daunting challenge, and Git is often at the heart of that task. Ensuring developers can effectively collaborate requires user provisioning, tool permissions, and enough horsepower to support all of the load. If you support a distributed team, the factors become more complex. How do you ensure developers have a consistent experience across geographies and help productivity flourish?
