Last updated 22/12/2020
Do you know how much you can earn from choosing a career as a Site Reliability Engineer?
It starts from $136,836 per year. Can you believe this?
Site Reliability Engineering is basically creating a bridge between Development and Operations departments. It is a discipline that incorporates aspects of software engineering and applies them to infrastructure and operations problems. The main goals are to create scalable and highly reliable software systems. Read more information about SRE on our article An Insight To Site Reliability Engineering
The job role of a Site Reliability Engineer includes the following responsibilities:
Pretty interesting. Isn’t it? Well, the job interview of a Site Reliability Engineer, too, is pretty interesting!
Check out these most commonly asked Site Reliability Engineering interview questions to get an idea about how interesting it actually can be!
A. Reducing Organizational Silos:
SRE treats Ops more like a software engineering problem.
DevOps focuses on both Dev and Ops departments to bridge these two worlds.
B. Leveraging Tooling and Automation
C. Measuring Everything
I have a practical understanding and working knowledge in DevOps with a deep understanding of:
Hence, I feel Site Reliability Engineer is the perfect job role for me.
An SLO or Service Level Objective is basically a key element of a service-level agreement (SLA) between a service provider and a customer that is agreed upon to measure the performance of service providers and are formed as a way of avoiding disputes. Between two parties.
SLO can be a specific measurable characteristic of SLA like availability, throughput, frequency, response time, or quality. These SLOs togethe define the expected service between the provider and the customer while varying depending on the service's urgency, resources, and budget. SLOs provide a quantitative means to define the level of service a customer can expect from a provider.
Data structure is a data organization, management, and storage format that enables efficient access and modification. More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data.
The types of data structures are listed below:
Hash: Distributed hash table, hash tree, etc
Error budget defines the maximum amount of time a technical system can fail without contractual consequences.
Error budget encourages the teams to minimize real incidents and maximize innovation by taking risks within acceptable limits.
An error budget policy demonstrates how a business decides to trade off reliability work against other feature work when SLO indicates a service is not reliable enough.
Activities that can reduce toil are:
A Service Level Indicator (SLI) is a measure of the service level provided by a service provider to a customer. SLIs form the basis of Service Level Objectives (SLOs), which in turn form the basis of Service Level Agreements (SLAs). An SLI can also be called an SLA metric.
Although every system is different in the services provided, common SLIs are used pretty often. Common SLIs include latency, throughput, availability, and error rate; others include durability (in storage systems), end-to-end latency (for complex data processing systems, especially pipelines), and correctness.
The common Linux signals are mentioned below:
The Transmission Control Protocol (TCP) is one of the main protocols of the Internet protocol suite. TCP originated in the initial network implementation in which it complemented the Internet Protocol (IP). Hence, it is broadly referred to as TCP/IP.
1) LISTEN – Server is listening on a port, such as HTTP
2) SYNC-SENT – Sent a SYN request, waiting for a response
3) SYN-RECEIVED – (Server) Waiting for an ACK, occurs after sending an ACK from the server
4) ESTABLISHED – 3 way TCP handshake has completed
An inode is a data structure in Unix that contains metadata about a file. Some of the items contained in an inode are:
2) owner (UID, GID)
4) atime, ctime, mtime
The Linux Kill commands are:
Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the user. The term is generally used to describe data centers available to many users over the Internet. Large clouds, predominant today, often have functions distributed over multiple locations from central servers. If the connection to the user is relatively close, it may be designated an edge server.
The functions of an ideal DevOps team can’t be specifically defined. We all know that the DevOps team bridges the Development and Operations department, and contributes to continuous delivery.
As a starter, the DevOps team should be communicative, well versed in automation, and expert in the tools that are used to build CI/CD pipelines.
Also, they should be efficient enough for small and frequent code releases that address as narrowing the scope of functionality.
Observability is basically a conversation around the measurement and instrument of an organization.
To improve an organization’s observability, you need to:
The Dynamic Host Configuration Protocol (DHCP) is a network management protocol used on Internet Protocol (IP) networks, whereby a DHCP server dynamically assigns an IP address and other network configuration parameters to each device on the network, so they can communicate with other IP networks.
A DHCP server is used for:
Source Network Address Translation (source-nat or SNAT) is a technique that allows traffic from a private network to go out to the internet.
Destination network address translation (DNAT) is a technique for transparently changing the destination IP address of an end route packet and performing the inverse function for any replies. Any router situated between two endpoints can perform this transformation of the packet.
A soft link is an actual link to the original file that can cross the file system, allows you to link between directories, and has different inode numbers or file permission to the original file.
A softlink looks like this: $ novel softlink.file
A hard link is a mirror copy of the original file that can't cross the file system boundaries, can't link directories, and has the same inode number and permissions as the original.
Example: $ novel hardlink.file
To secure your docker container, you need to follow these guidelines:
The appropriate SRE tools for each stage of DevOps are:
From the above SRE interview questions and their answers, you must have understood that it is both the practical and theoretical knowledge that will help you to get through an SRE interview. Now how to achieve that? Pretty simple! Join our Site Reliability Engineering training and certification course, get trained, get certified, set the bar of your CV high, and Voila!
NovelVista Learning Solutions is a professionally managed training organization with specialization in certification courses. The core management team consists of highly qualified professionals with vast industry experience. NovelVista is an Accredited Training Organization (ATO) to conduct all levels of ITIL Courses. We also conduct training on DevOps, AWS Solution Architect associate, Prince2, MSP, CSM, Cloud Computing, Apache Hadoop, Six Sigma, ISO 20000/27000 & Agile Methodologies.
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