Continuous delivery — a development approach aimed at building, testing and releasing software with greater speed and efficiency — is about much more than just being quick. It also emphasizes creating the highest-performing (fastest, most reliable) software products possible. DevOps teams are always trying to strike a critical balance — if there are too many shortcuts (i.e., overlooking performance testing anywhere in the software lifecycle), they'll likely compromise quality. However, testing that is too time-consuming or resource-intensive can hamper an organization's agility in incorporating user feedback and delivering innovation.
Many DevOps teams have addressed this by automating software testing throughout the entire product lifecycle. This enables developers and testers to work collaboratively and continuously as software progresses towards production. This reduces the chance for bugs to get deeply embedded, forcing re-work on subsequent code work which leads to costly, wasteful delays.
However, greater testing automation does not reduce the friction that exists when a performance problem rears its head. People by nature are defensive of their own work and respective areas of responsibility, which can lead to skirmishes within the team. The developer side of the house — relentlessly focused on roll-outs — may be quick to point to the Ops team, claiming Ops must be the reason the product is hitting a snag. It couldn't possibly be the code! The Ops team, focused on ensuring stability, is quick to point the finger back — “don't tell us how to do our job, our systems are working just fine; the problem has to be your code.” Meanwhile, the clock is ticking, the roll-out is getting stalled and users are growing impatient.
The high-pressure stakes of continuous delivery environments often require an intervention, a human touch — someone who can keep a cool head, address conflicts judiciously and validate performance assiduously every step of the way. This is fueling momentum behind the role of site reliability engineer, or SRE. Currently there are more than 1,000 U.S.-based SRE job reqs posted on LinkedIn.
The SRE is the ultimate adjudicator when a performance issue is identified
The SRE concept originated at Google in 2003. An SRE straddles the line between the “Dev” and “Ops” sides of DevOps teams, both writing code and supporting existing IT systems. The SRE is the ultimate adjudicator when a performance issue is identified, determining conclusively what factor (code or IT systems) is the root cause and seeing it through to resolution.
Many SREs establish firm rules governing DevOps teams — for example, unless a new solution or feature delivers on a pre-defined performance level — either earlier in the lifecycle, or once in production — all future development is on hold, until the problem is fixed. A highly resolute SRE makes it possible to achieve speedy application builds combined with operational stability and strong performance.
The deeper intricacies of the SRE role are still evolving, and to gain some insights into what the role actually entails we recently conducted a survey aimed at this growing group. The role may vary from organization to organization — for example, SREs at small organizations (where headcount tends to be lower) may do just fine with a broader, more general level of expertise across many technical areas. However, SREs in larger organizations often require and demonstrate more focused technical strengths, given the greater headcount and opportunities for specialization. The commonalities we identified include the following:
SREs are prevalent in continuous delivery environments
65 percent of the SREs we surveyed are deploying code at least once a day, and almost half (47 percent) report deploying new code multiple times per day.
Soft skills are crucial
Most SREs come from an IT Ops background, but they view soft skills as equally important as technical skills. Soft skills refer to a more intangible combination of variables including social and communication skills, character traits, emotional intelligence and other attributes, that enable workers to successfully navigate their work environment and achieve goals. SREs view the following soft skills as the most important, in this order — problem-solving, teamwork, composure under pressure, written and verbal communication.
Automation is critical
92 percent of our survey respondents cited automation as the top required technical skill, but ironically, many report their teams are not doing enough in this area. Only 18 percent said their teams have automated every aspect of their operation, indicating that additional machine-automated practices in areas like monitoring, testing or other disciplines are needed.
Availability is the most important service indicator
Application and service availability is the main concern of SREs
Application and service availability is the main concern of SREs, with 84 percent of respondents ranking end-user availability as one of their most important service-level indicators, ahead of error rate and latency trail. Nothing else matters if a system is unavailable, which makes alerting and notification tools an absolute must-have, according to those surveyed.
There's no substitute for real-time communication
Real-time communication is essential when attempting to resolve problems quickly. During incident resolution, 94 percent of respondents rely on real-time collaboration and communication solutions like Slack over other methods.
Continuous delivery collapses software release cycles dramatically, at a time when users' performance demands are exploding. But there's an upside to this in terms of the bottom-line pay-off for fast, reliable software. A one second improvement in webpage load time enabled Staples to increase conversions by 10 percent. Intuit improved webpage load time from 15 to 2 seconds, with every second of improvement driving a 2-3 percent increase in conversions.
Performance problems — and the conflicts they can invoke — are one of the biggest potential traffic jams in continuous delivery environments. When a problem occurs, the deep levels of collaboration that are a hallmark of DevOps teams become apparent — most of the time for the better, but not always. The SRE can be exactly what a DevOps team needs to drive the most positive, accurate and actionable collaborations possible. While this role is still being defined, we see many exciting opportunities for the right types of candidates, with soft skills being especially crucial.
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 ...