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Description

Visualize your microservices from your CDN to your databases, with external dependencies. Automately measure baselines and receive recommendations for SLIs or SLOs. Measure and understand the impact across microservices. Every change creates ripples in your connected system. Login API was affected by a security group's change? Last9 makes it easy for you to find the 'last change' that caused an incident. Last9 is a modern reliability platform. It leverages your existing observation tricks and allows you to build and enforce mental model on top of your data. This will help you cover infrastructure, service, product metrics with minimal effort. We love reliability and make it fun and embarrassingly simple to run systems at scale. Last9 uses the knowledge graph to automatically generate maps of all known infrastructure and service components.

Description

On-demand testing environments tailored for web applications and microservices are now available, enabling quicker iterations and time savings through the use of temporary virtual machines corresponding to each code branch. By integrating with your GitHub, Bitbucket, or GitLab account, Squash allows you to seamlessly add new code to your repository and initiate a Pull Request. Upon doing so, Squash will automatically generate a comment that includes a testing URL, which, when accessed, triggers the launch of a dedicated virtual machine to deploy your new code. This feature lets you observe your modifications in real-time while testing your application in a secure setting. Often, teams find themselves spending excessive time managing their environments and addressing bugs that arise specifically from those environments. A single bug can create a chain reaction, consuming valuable time for QA teams, product managers, and developers alike. The impact of a single lost QA cycle caused by environment-specific problems can severely disrupt delivery schedules. Furthermore, the introduction of additional bugs is frequently exacerbated by insufficient automation, outdated libraries, data discrepancies, or limited server resources. Test environments typically incur costs around the clock, yet they are often utilized only 30-40% of the time, leading to inefficiencies that can be addressed with more effective management strategies. This disparity highlights the need for innovative solutions that maximize the value of testing resources while minimizing downtime.