SRE as a Service

SRE (Site Reliability Engineering as a Service) proactively seeks to convert your production environments into a more scalable, robust, and secure state.

Defining the goals
We define your stack elements and work with your team to define the desired SLOs for your business.
Observability Platform
In order comply with your SLO promises, we extend or rebuild your observability platform together with our approved practices to measure the SLIs.
On call
We integrate your metrics with our Alert Management platform where we define the on-call schedule for the SRE team.

SRE Trends & Challenges

SRE approach differs in being more proactive and working closely with developer teams, in order to guide them to take the necessary architectural decisions for the software stack.

As the SRE team, we analyze the toils and proactively seek ways, either to eliminate or automate them.

Besides, creating blameless Port-Mortems, which is a part of an SRE approach, is a must to continuously improve the production environment and take necessary lessons.



Automate Everything
Each toil means an area for improvement and automation. We build all necessary automation to
eliminate the toils.
Post Mortems
In order to take lessons and keep the historical records, we create a structured port-mortem after
every production incident.
SLO/SLI driven
Together with increasing the maturity of your observability platform, we measure SLIs, against


Day1 expert engineering: Our team is quite experienced to deal with production incidents on AWS Cloud and on-premises where Kubernetes is in place. You can begin benefiting from the Day1 expertise.

Cost Saving: From our experience, building an SRE team needs at least 4 or preferably 5 engineers, in order to create a sustainable working structure. Rather than creating your own team, you can benefit from our engineers who are onboarded on your stack and infrastructure.

Focus on your business: For scale-ups and start-ups, you are expected to add new functionality to your business. You may focus on adding those functionalities and we take care of your SRE requirements.

Cloud-Native: Kubernetes-driven infrastructure, along with Cloud functions, brings self-healing and automation to your development and deployment

Scaling: Scaling  on Y-axis and Z-axis dimensions, rather than scaling on just the X-axis dimensions.


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Engagement Model

The process begins with an onboarding session and a Statement of Work (SoW) that includes the remediation actions to be taken in a short period of
time and in a long period of time.

The remaining ongoing support is based on the SLA terms including 8/5 or 24/7 with a 1-hour or 2-hour SLA.

You will receive periodic reports regarding the changes in your environments and also the performance metrics about SLIs and SLOs.


Getting Started

You can submit an inquiry through the form given below and our solution experts will reach out to you as soon as possible.

Signing up for this solution includes an initial audit and assessment of your
current environment.


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Get in touch