A General Guide to Key Players of the Service Mesh Industry

Service mesh is a layer of infrastructure that enables network-based service-to-service communication between various services. It controls inter-microservice communication and, by altering microservice applications, assists in providing customers with compelling and competitive digital experiences. It is an open communication layer that manages communication and monitoring for each service instance. It is implemented through sidecar proxy instances.

According to Business Research Insights, the global service mesh market size was valued at USD 105.3 million in 2020 and is expected to reach a valuation of USD 1,440.6 million by 2027 with a CAGR of 41.3% over the forecast period. The market has leading players such as Buoyant, HashiCorp, F5, Kong, Solo, and Tetrate.

To conduct profitable business transactions in a smooth manner and for the all-encompassing expansion of company operations, enterprises must implement technology. The need is anticipated to increase over the projected period as a result of the rapid adoption across numerous industry verticals to enhance observability and transform the substantial volume of micro service-based application data into insights. The increasing product adoption to boost an application's effectiveness and security is growing every day. It is predicted that this would drive the market over the forecast period.


The operational difficulties associated with managing and governing micro services are already seen as being resolved in large parts. Companies using micro services in production will need some kind of capability to scale, according to Gartner and International Data Corporation (IDC).

Regardless of the building technology, it is utilized to abstract these governance considerations. An independent architectural layer enables:

• Central governance and reliability over inter-service communication, together with rules for traffic management.

• Consistent security with authentication and authorization standards.

• Service discovery into any preferred app development and monitoring technologies already in existence.

Recent Advancements

The adoption of various service mesh platform intercepts to regulate the traffic and protect the communication between micro services will increase the product demand. HashiCorp, Inc., a well-known service mesh vendor in San Francisco, introduced the new, fully managed service mesh solution known as HashiCorp Consul and Vault in February 2021 on the HashiCorp cloud platform to ease the load on businesses and enhance data migration to the cloud.

If you deal with backend systems as a software developer, you have definitely heard the term "service mesh" at some point in the past few years. This word has been spreading throughout the business like a massive Katamari ball as a result of an odd confluence of circumstances, grabbing hold of progressively larger pieces of marketing and excitement, and it shows no indications of slowing down any time soon. But if you can filter through all the noise, it has some genuine, tangible, and significant value.

Features Necessary for Executing Contemporary Server-Side Software

The platform features are a subset of the functionality offered. This refers to characteristics like:

1. Not subject to business logic.

It makes no difference as to why Foo is calling Bar in the first place when determining how traffic latency histograms for calls between Foo and Bar are calculated.

2. Challenging to correctly implement.

The naive approach to retries is a sure way to "retry storms" and other distributed system failure patterns; hence, Linkerd's retries are parameterized with sophisticated features like retry budgets.

3. Consistent application is the key to effectiveness.

Only when everyone uses mutual TLS does the physics of it make any sense.

Growth Prospects of the Industry

As troublesome as it may be, it turns out that for technology to essentially have an influence, it must be accepted by human beings. The service vendors also gain profit, although in a more unplanned method. The objective of the service owner is to be as creative in constructing the reasoning of the organization, and the less operative mechanism they have to concern about, the easier it is. Rather than continually applying, for example, retry rules or TLS, they can put more effort on corporate rationality concerns and have faith that the platform will take care of the rest.