Operations | Monitoring | ITSM | DevOps | Cloud

How to design a microservices architecture with Docker containers

Application development trends guide industries (tech and non-tech alike) toward a more cloud-native and distributed model with digital-first strategies. Many organizations are adopting new technologies and distributed workflows. Software development pipelines enable teams to collaborate efficiently and maintain productivity. However, organizations that were early to embrace modern application development strategies and tools, including containerization and multi-cloud environments.

How integrating AWS into Cortex augments visibility into your infrastructure

With AWS re:Invent right around the corner, infrastructure has been top of mind at Cortex. Earlier this year, we launched our revolutionary Resource Catalog, which integrates with AWS accounts to automatically ingest all infrastructure components, from s3 buckets to lambdas. Through this process, Cortex allows you to track everything in a single place, while augmenting the information that already exists in AWS. The Resource Catalog surfaces live information about your infrastructure assets.

Effective vulnerability management for your microservices

Vulnerabilities are part and parcel of the software development life cycle. If left untreated, they can expose your application to malicious attacks, which can be detrimental to its functioning and reliability. To avoid severe damage and complications that arise from having the vulnerabilities exposed, it is good practice to set up a vulnerability management system. Vulnerability management is a practice that teams should integrate into the larger development process as it helps keep the software secure.

Mapping service vulnerabilities with Mend

Mend is an automated vulnerability scanning tool that helps teams detect and resolve issues quickly. Mend can discover outdated packages and tell you if you’re relying on tools with known issues. Then, through automated remediation, Mend creates pull requests for developers with specific guidance on resolving those issues. Mend conducts static code analysis as well as package and dependency management analysis to identify weaknesses.

The underappreciated power of technical project managers

Imagine you’re part of a software development team that’s working on an important new project. Everyone is excited about the work, but you’re running into trouble. The work wasn’t clearly divided up, so some of the engineers unintentionally did overlapping work. Meanwhile, neither the PM nor the engineers realized that they would eventually need sign-off from an external stakeholder, who doesn’t agree with all of the project requirements.

How reporting enables informed decision-making

For software development teams to make meaningful progress, they must invest in efficient monitoring, reporting practices, and tooling. This is because only by keeping track of select metrics, such as those pertaining to application performance, will you know whether you are on the right track. Without knowledge of whether the software is functioning and performing as it is supposed to, there is no way of knowing what, if any, changes need to be made.

Picking the right developer workflow tools for your team

The software development life cycle is by no means a short or easy process. From project design to post-production monitoring, each stage of the life cycle comes with its own set of workflow-related demands. Teams must develop adaptable yet agile workflows to prioritize efficiency while simultaneously ensuring a positive developer experience. Thankfully, there is no shortage of tools to boost productivity in software development team workflows.
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Introduction to Automation Testing Strategies For Microservices

Microservices are distributed applications deployed in different environments and could be developed in different programming languages having different databases with too many internal and external communications. A microservice architecture is dependent on multiple interdependent applications for its end-to-end functionalities. This complex microservices architecture requires a systematic testing strategy to ensure end-to-end (E2E) testing for any given use case. In this blog, we will discuss some of the most adopted automation testing strategies for microservices and to do that we will use the testing triangle approach.

Cracking Performance Issues in Microservices with Distributed Tracing

Microservices architecture is the new norm for building products these days. An application made up of hundreds of independent services enables teams to work independently and accelerate development. However, such highly distributed applications are also harder to monitor. When hundreds of services are traversed to satisfy a single request, it becomes difficult to investigate system issues.