The Origin of Service Mesh
In the beginning, we had packets and packet-switched networks.
Everyone on the Internet — all 30 of them — used packets to build addressing, session establishment/teardown. And then, they’d need a retransmission scheme. Then, they’d build an ordered byte stream out of it.
Eventually, they realized they had all built the same thing. The RFCs for IP and TCP standardized this, operating systems provided a TCP/IP stack, so no application ever had to turn a best-effort packet network into a reliable byte stream.
We took our reliable byte streams and used them to make applications. Turns out that a lot of those applications had common patterns again — they requested things from servers, and then got responses. So, we separated these request/responses into metadata (headers) and body.
HTTP standardized the most widely deployed request/response protocol. Same story. App developers don’t have to implement the mechanics of requests and responses. They can focus on the app on top.
There’s a newer set of functionality that you need to build a reliable microservices application. Service discovery, versioning, zero-trust…. all the stuff popularized by the Netflix architecture, by 12-factor apps, etc. We see the same thing happening again – an emerging set of best practices that you have to build into each microservice to be successful.
So, service mesh is about putting all that functionality again into a layer, just like HTTP, TCP, packets, that’s underneath your code, but creating a network for services rather than bytes.
Questions? Download The Complete Guide to Service Mesh or keep reading to find out more about what exactly a service mesh is.
What Is A Service Mesh?
A service mesh is a transparent infrastructure layer that sits between your network and application.
It’s designed to handle a high volume of service-to-service communications using application programming interfaces (APIs). A service mesh ensures that communication among containerized application services is fast, reliable and secure.
The mesh provides critical capabilities including service discovery, load balancing, encryption, observability, traceability, authentication and authorization, and the ability to control policy and configuration in your Kubernetes clusters.
Service mesh helps address many of the challenges that arise when your application is being consumed by the end user. Being able to monitor what services are communicating with each other, if those communications are secure, and being able to control the service-to-service communication in your clusters are key to ensuring applications are running securely and resiliently.
More Efficiently Managing Microservices
The self-contained, ephemeral nature of microservices comes with some serious upside, but keeping track of every single one is a challenge — especially when trying to figure out how the rest are affected when a single microservice goes down. The end result is that if you’re operating or developing in a microservices architecture, there’s a good chance part of your days are spent wondering what the hell your services are up to.
With the adoption of microservices, problems also emerge due to the sheer number of services that exist in large systems. Problems like security, load balancing, monitoring and rate limiting that had to be solved once for a monolith, now have to be handled separately for each service.
Service mesh helps address many of these challenges so engineering teams, and businesses, can deliver applications more quickly and securely.
Why You Might Care
If you’re reading this, you’re probably responsible for making sure that you and your end users get the most out of your applications and services. In order to do that, you need to have the right kind of access, security and support. That’s probably why you started down the microservices path.
If that’s true, then you’ve probably realized that microservices come with their own unique challenges, such as:
- Increased surface area that can be attacked
- Polyglot challenges
- Controlling access for distributed teams developing on a single application
That’s where a service mesh comes in.
A service mesh is an infrastructure layer for microservices applications that can help reduce the complexity of managing microservices and deployments by handling infrastructure service communication quickly, securely and reliably.
Service meshes are great at solving operational challenges and issues when running containers and microservices because they provide a uniform way to secure, connect and monitor microservices.
Here’s the point: a good service mesh keeps your company’s services running they way they should. A service mesh designed for the enterprise, like Aspen Mesh, gives you all the observability, security and traffic management you need — plus access to engineering and support, so you can focus on adding the most value to your business.
And that is good news for DevOps.
The Rise of DevOps – and How Service Mesh Is Enabling It
It’s happening, and it’s happening fast.
Companies are transforming internal orgs and product architectures along a new axis of performance. They’re finding more value in iterations, efficiency and incremental scaling, forcing them to adopt DevOps methodologies. This focus on time-to-market is driving some of the most cutting-edge infrastructure technology that we have ever seen. Technologies like containers and Kubernetes, and a focus on stable, consistent and open APIs allow small teams to make amazing progress and move at the speeds they require. These technologies have reduced the friction and time to market.
The adoption of these technologies isn’t perfect, and as companies deploy them at scale, they realize that they have inadvertently increased complexity and de-centralized ownership and control. In many cases, it’s challenging to understand the entire system.
A service mesh enables DevOps teams by helping manage this complexity. It provides autonomy and freedom for development teams through a stable and scalable platform, while simultaneously providing a way for platform teams to enforce security, policy and compliance standards.
This empowers your development teams to make choices based on the problems they are solving rather than being concerned with the underlying infrastructure. Dev teams now have the freedom to deploy code without the fear of violating compliance or regulatory guidelines, and platform teams can put guardrails in place to ensure your applications are secure and resilient.
Want to learn more? Get the Complete Guide to Service Mesh here.