Couchbase announced that its Capella AI Model Services have integrated NVIDIA NIM microservices, part of the NVIDIA AI Enterprise software platform, to streamline deployment of AI-powered applications, providing enterprises a powerful solution for privately running generative (GenAI) models.
Microservices are a hot topic in IT circles these days. The idea of a modular approach to system building – where you have numerous, smaller software services that talk to each other instead of monolithic components – has many benefits.
Speed and the ability to change and adapt on the fly are often cited as reasons for the growing interest in and adoption of a microservices approach. Today's companies need to innovate quickly to remain at the top of their industries. Traditional development methodologies simply take too long. You need to be agile in order to establish and maintain your competitive advantage.
That brings up competing goals between developers and security, but it doesn’t have to. Instead, there is a tradeoff that needs to happen between developers and security teams around the level of control each team has. The ideal scenario is that developers will control every step of the CI/CD pipeline in order to move fast, while allowing the security team to control enough of the process to make sure that security and compliance policies are adhered to.
Where is the middle ground? How can you heighten security without slowing development? How can organizations achieve this level of collaboration and make it work to their advantage?
Visibility
To be successful, visibility is key. For developers, this is the ability to see whether they adhere to security and compliance policies or not. These checks must happen at every stage of the CI/CD process. Security teams require the visibility to know whether developers are producing configurations that are aligned to security and compliances policies.
Without an easy way to view all activity, there's no way to make sure microservices are operating properly – which makes it increasingly harder to identify risk and solve potential problems.
But just having visibility into your systems – and knowledge of potential problems – isn't enough. You need to be able to protect against vulnerabilities and risky connectivity issues, while also establishing a way to make adjustments without limiting the efficiency and productivity of your developers.
Automation
Automation makes sense for organizations that have embraced the DevOps approach to software delivery. Using continuous integration and continuous delivery tools, services can be created and modified so often that it becomes impossible to manually review and ensure each one is configured, deployed and communicating as intended – or is being operated in compliance with corporate security policies. Automating security in line with company policies can help protect microservices no matter where they're deployed – on-premise, or in a private or public cloud.
With automation, it becomes easier to identify and protect vulnerable containers that could be externally accessible. Automation should be used to find security issues and then take actions to close up those vulnerabilities, limiting the impact of a breach or preventing one altogether. In addition, as any IT professional knows, the type and style of security issues and potential attacks change on a regular basis. Staying on top of each new potential security issue and constantly monitoring your implementations for them is difficult work; automation can do it for you on a regular basis.
The best part is that automation can work in the background – ensuring that developers and teams are not bothered by the process, are automatically brought in line with corporate security policy – and do not have their efforts limited because of the need to remain compliant.
When done correctly, automation is an enabler of DevOps – making it easier for developers to build, deploy and operate secure applications at scale.
Conclusion
In embracing DevOps and microservices, companies have made a conscious decision to replace stale and inefficient business processes with more agile and effective ones that enable collaboration and empower innovation. It is easy to see that traditional security controls and processes are no fit for today’s development world.
To be successful, organizations need visibility into and control of these new environments – and need it without disrupting the agile development process they have worked so hard to put in place. By embracing automation, they can truly have the best of both worlds.
Industry News
GitLab announced the general availability of GitLab Duo Self-Hosted.
Tigera announced the introduction of several new innovations to Calico, including a new Ingress Gateway capability for Calico Cloud and Calico Enterprise, and the launch of Calico Dashboards.
Copado introduced three AI-powered DevOps apps for Slack.
Gearset announced that it now supports Salesforce's Agentforce.
Sonar announced the acquisition of AutoCodeRover, an autonomous AI agent platform for software development.
Faros AI announced a collaboration with Microsoft to deliver its AI-powered platform for optimizing engineering workflows on Azure.
Apollo GraphQL announced the general availability of Apollo Connectors for REST APIs and new GraphOS platform enhancements — giving enterprises a faster, more efficient way to execute their API strategies.
Check Point® Software Technologies Ltd.(link is external) announced that its Check Point CloudGuard solution has been recognized as a Leader across three key GigaOm Radar reports: Application & API Security, Cloud Network Security, and Cloud Workload Security.
LaunchDarkly announced the private preview of Warehouse Native Experimentation, its Snowflake Native App, to offer Data Warehouse Native Experimentation.
SingleStore announced the launch of SingleStore Flow, a no-code solution designed to greatly simplify data migration and Change Data Capture (CDC).
ActiveState launched its Vulnerability Management as a Service (VMaas) offering to help organizations manage open source and accelerate secure software delivery.
Genkit for Node.js is now at version 1.0 and ready for production use.
JFrog signed a strategic collaboration agreement (SCA) with Amazon Web Services (AWS).
mabl launched of two new innovations, mabl Tools for Playwright and mabl GenAI Test Creation, expanding testing capabilities beyond the bounds of traditional QA teams.