Site reliability engineering (SRE) is fast becoming an essential aspect of modern IT operations, particularly in highly scaled, big data environments. As businesses and industries shift to the digital and embrace new IT infrastructures and technologies to remain operational and competitive, the need for a new approach for IT teams to find and manage the balance between launching new systems and features and ensuring these are intuitive, reliable, and friendly for end users has intensified as well.
Start with: Site Reliability Engineering: An Imperative in Enterprise IT - Part 1
Site Reliability Engineer vs. DevOps Engineer vs. Software Engineer
Site reliability engineers are development-focused IT professionals who work on developing and implementing solutions that solve reliability, availability, and scale problems. On the other hand, DevOps engineers are ops-focused workers who solve development pipeline problems. While there is a divide between the two professions, both sets of engineers cross the gap regularly, delivering their expertise and opinions to the other side and vice versa.
Site reliability engineers keep their services running and available to users, DevOps cover the product life cycle from end to end with the goal of making all processes continuous based on Agile technologies. Delivering continuity across the product life cycle is key to speeding time to market and implementing rapid changes.
While the roles of site reliability engineer and software engineer overlap to a certain extent, there are major differences between the two professions. Software engineers design and write software solutions. In most cases, software engineers factor in cost of deployment as well as application update and maintenance to their designs.
An SRE is not a developer who knows a thing or two about operations, or an operations person who codes. It's an entirely new and separate discipline on your development team. The SRE brings expertise in deployment, configuration management, monitoring, and metrics. SREs focus on improving application performance, freeing up developers to focus on feature improvements and IT operations to focus on managing infrastructure. When SREs are actively engaged, developers and IT operations have the latitude to do what they do best.
What is The SRE Framework?
The Site Reliability Engineering Framework is built on the following principles.
■ Codified best practices. This pertains to the ability to carry out what works well in production to code. Using the said code will result in services being “production ready” by design.
■ Reusable solutions. Common techniques that are easily shared and implemented, allowing for effective mitigation of scalability and reliability issues.
■ Common production platform with a common control surface. Identical sets of interfaces to production facilities for easy operational management, logging, and configuration for every service.
■ Easier automation and smarter systems. Superior automation and data aggregation provide engineers and developers a complete picture of their systems, applications, including all relevant information. No more manual data collection and analysis from different sources.
SRE creates various framework modules that serve as implementation guides for the solutions designed for a particular production area. An SRE framework essentially directs engineers on how to implement software components as well as a canonical way to integrate these components.
SRE frameworks provide engineers and developers multiple benefits in terms of efficiency and consistency. For one, they free developers from having to find, piece together, and configure individual components in an ad hoc service-specific manner.
These frameworks deliver a single solution for production concerns that's reusable across various services. Framework users execute their production and other processes using common implementation rules and minimal configuration differences.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
