Welcome!

Microservices Expo Authors: Stackify Blog, Aruna Ravichandran, Dalibor Siroky, Kevin Jackson, PagerDuty Blog

Related Topics: @DevOpsSummit, Microservices Expo, Machine Learning , Python

@DevOpsSummit: Blog Post

Your #Python Performance By @Monitis | @DevOpsSummit #DevOps #Containers #Microservices

Python is really a language which has swept the scene in recent years in terms of popularity, elegance, and functionality

Seven Ways to Improve Your Python Performance

Python is really a language which has swept the scene in recent years in terms of popularity, elegance, and functionality. Research shows that 8 out 10 computer science departments in the U.S. now teach their introductory courses with Python, surpassing Java. Top-ranked CS departments at MIT and UC Berkeley have switched their introductory courses to Python. And the top three MOOC providers (edX, Coursera, and Udacity) all offer introductory programming courses in Python. Not to mention, Python is known to have an easy syntax that makes learning much more tolerable, and it scales up easily – especially in cloud-based environments.

python1

As powerful as Python is, there’s always room for improvement. If you want to make your Python code even faster and more efficient, then stay tuned. Below we’ve listed 7 ways to improve the performance of your Python environment. Read on!

1. Use some of Python’s “speedup” applications

Python has developed a reputation as a solid, high-performance language. Lots has been done in recent years to get to this point. The PyPy project aims to speed up Python as a whole (and is doing a great job of it). And Numba is another tool that can offer amazing speedups by implementing high performance functions written directly in Python.

2. Using generators & sorting with keys

Generators are helpful in memory optimization because they allow you to create a function that returns one item at a time rather than all the items at once. A good example would be when you’re creating a large list of numbers and adding them together.

Also, when you’re sorting items in a list, be sure to use keys and the default sort() method whenever possible. In the following, notice that in each case the list is sorted according to the index you select as part of the key argument. This approach works just as well with strings as it does with numbers:

import operator

somelist = [(1, 5, 8), (6, 2, 4), (9, 7, 5)]

somelist.sort(key=operator.itemgetter(0))

somelist

#Output = [(1, 5, 8), (6, 2, 4), (9, 7, 5)]

somelist.sort(key=operator.itemgetter(1))

somelist

#Output = [(6, 2, 4), (1, 5, 8), (9, 7, 5)]

somelist.sort(key=operator.itemgetter(2))

somelist

#Output = [(6, 2, 4), (9, 7, 5), (1, 5, 8)],

3. Using the latest releases of Python

Python is maintained through a community of developers who are committed to keeping the software current and robust. Each new release of the language is technically going to be faster and more optimized than before, so it’s a good idea to plan your move. Just be sure that your favorite supporting libraries are compatible with the newest versions.

python2

4. Avoid unwanted loops

The consensus is out that too much looping in any programming language is not a good thing, and puts unnecessary strain on your server. Some simple tweaks like storing the length of an array in a different variable instead of making it read the length at every iteration of the loop, can go a long way to optimizing your code and ensuring things run much more efficiently. Also, try refactoring your code to use intersections and unions. For example, instead of this:

for x in a:

for y in b:

if x == y:

yield (x,y)

Try this instead:

return set(a) & set(b)

5. Try out multiple coding approaches

It’s typical to employ the same general coding techniques throughout your application. But why not try a little experimentation to see if one technique is better or more optimal than another. This will help keep you sharp and innovative in your approaches to coding, no matter what language you’re working in. By learning to “think outside the box” you’ll creatively apply new coding techniques to obtain faster results with your applications.

6. Keep Python code small and light

It is often the case in programming that simplest is fastest. In this day and age performance is critical and it’s especially important to keep your Python code as compact as possible to reduce latency and speed things up. One article provides some organizing questions that are worth asking in the development stage: “Do we really need this module?”, “Why are we using this framework? Is it worth the overhead?”, “Can we do this in a simpler way?”

7. Cloud-based application performance monitoring

Your Python-based applications and websites are only as good as the performance of your infrastructure, which is why application performance is too important to leave to chance. What this requires is the best-in-class monitoring capability for all your IT systems. That’s exactly what you’ll find in Monitis. As the trusted leader in this market, Monitis offers a 24/7 cloud-based monitoring platform for websites, servers, applications, and networks. Through an easy to follow and intuitive web-interface, Monitis tracks all of your business-critical applications to ensure everything is running optimally and that you’re alerted to issues long before your customers are.

python3

Read the original blog entry...

More Stories By Hovhannes Avoyan

Hovhannes Avoyan is the CEO of PicsArt, Inc.,

@MicroservicesExpo Stories
How is DevOps going within your organization? If you need some help measuring just how well it is going, we have prepared a list of some key DevOps metrics to track. These metrics can help you understand how your team is doing over time. The word DevOps means different things to different people. Some say it a culture and every vendor in the industry claims that their tools help with DevOps. Depending on how you define DevOps, some of these metrics may matter more or less to you and your team.
For many of us laboring in the fields of digital transformation, 2017 was a year of high-intensity work and high-reward achievement. So we’re looking forward to a little breather over the end-of-year holiday season. But we’re going to have to get right back on the Continuous Delivery bullet train in 2018. Markets move too fast and customer expectations elevate too precipitously for businesses to rest on their laurels. Here’s a DevOps “to-do list” for 2018 that should be priorities for anyone w...
If testing environments are constantly unavailable and affected by outages, release timelines will be affected. You can use three metrics to measure stability events for specific environments and plan around events that will affect your critical path to release.
In a recent post, titled “10 Surprising Facts About Cloud Computing and What It Really Is”, Zac Johnson highlighted some interesting facts about cloud computing in the SMB marketplace: Cloud Computing is up to 40 times more cost-effective for an SMB, compared to running its own IT system. 94% of SMBs have experienced security benefits in the cloud that they didn’t have with their on-premises service
DevOps failure is a touchy subject with some, because DevOps is typically perceived as a way to avoid failure. As a result, when you fail in a DevOps practice, the situation can seem almost hopeless. However, just as a fail-fast business approach, or the “fail and adjust sooner” methodology of Agile often proves, DevOps failures are actually a step in the right direction. They’re the first step toward learning from failures and turning your DevOps practice into one that will lead you toward even...
DevOps is under attack because developers don’t want to mess with infrastructure. They will happily own their code into production, but want to use platforms instead of raw automation. That’s changing the landscape that we understand as DevOps with both architecture concepts (CloudNative) and process redefinition (SRE). Rob Hirschfeld’s recent work in Kubernetes operations has led to the conclusion that containers and related platforms have changed the way we should be thinking about DevOps and...
While walking around the office I happened upon a relatively new employee dragging emails from his inbox into folders. I asked why and was told, “I’m just answering emails and getting stuff off my desk.” An empty inbox may be emotionally satisfying to look at, but in practice, you should never do it. Here’s why. I recently wrote a piece arguing that from a mathematical perspective, Messy Desks Are Perfectly Optimized. While it validated the genius of my friends with messy desks, it also gener...
The goal of Microservices is to improve software delivery speed and increase system safety as scale increases. Microservices being modular these are faster to change and enables an evolutionary architecture where systems can change, as the business needs change. Microservices can scale elastically and by being service oriented can enable APIs natively. Microservices also reduce implementation and release cycle time and enables continuous delivery. This paper provides a logical overview of the Mi...
The next XaaS is CICDaaS. Why? Because CICD saves developers a huge amount of time. CD is an especially great option for projects that require multiple and frequent contributions to be integrated. But… securing CICD best practices is an emerging, essential, yet little understood practice for DevOps teams and their Cloud Service Providers. The only way to get CICD to work in a highly secure environment takes collaboration, patience and persistence. Building CICD in the cloud requires rigorous ar...
The enterprise data storage marketplace is poised to become a battlefield. No longer the quiet backwater of cloud computing services, the focus of this global transition is now going from compute to storage. An overview of recent storage market history is needed to understand why this transition is important. Before 2007 and the birth of the cloud computing market we are witnessing today, the on-premise model hosted in large local data centers dominated enterprise storage. Key marketplace play...
The cloud revolution in enterprises has very clearly crossed the phase of proof-of-concepts into a truly mainstream adoption. One of most popular enterprise-wide initiatives currently going on are “cloud migration” programs of some kind or another. Finding business value for these programs is not hard to fathom – they include hyperelasticity in infrastructure consumption, subscription based models, and agility derived from rapid speed of deployment of applications. These factors will continue to...
Some people are directors, managers, and administrators. Others are disrupters. Eddie Webb (@edwardawebb) is an IT Disrupter for Software Development Platforms at Liberty Mutual and was a presenter at the 2016 All Day DevOps conference. His talk, Organically DevOps: Building Quality and Security into the Software Supply Chain at Liberty Mutual, looked at Liberty Mutual's transformation to Continuous Integration, Continuous Delivery, and DevOps. For a large, heavily regulated industry, this task ...
Following a tradition dating back to 2002 at ZapThink and continuing at Intellyx since 2014, it’s time for Intellyx’s annual predictions for the coming year. If you’re a long-time fan, you know we have a twist to the typical annual prediction post: we actually critique our predictions from the previous year. To make things even more interesting, Charlie and I switch off, judging the other’s predictions. And now that he’s been with Intellyx for more than a year, this Cortex represents my first ...
"Grape Up leverages Cloud Native technologies and helps companies build software using microservices, and work the DevOps agile way. We've been doing digital innovation for the last 12 years," explained Daniel Heckman, of Grape Up in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.
The Toyota Production System, a world-renowned production system is based on the "complete elimination of all waste". The "Toyota Way", grounded on continuous improvement dates to the 1860s. The methodology is widely proven to be successful yet there are still industries within and tangential to manufacturing struggling to adopt its core principles: Jidoka: a process should stop when an issue is identified prevents releasing defective products
We seem to run this cycle with every new technology that comes along. A good idea with practical applications is born, then both marketers and over-excited users start to declare it is the solution for all or our problems. Compliments of Gartner, we know it generally as “The Hype Cycle”, but each iteration is a little different. 2018’s flavor will be serverless computing, and by 2018, I mean starting now, but going most of next year, you’ll be sick of it. We are already seeing people write such...
Defining the term ‘monitoring’ is a difficult task considering the performance space has evolved significantly over the years. Lately, there has been a shift in the monitoring world, sparking a healthy debate regarding the definition and purpose of monitoring, through which a new term has emerged: observability. Some of that debate can be found in blogs by Charity Majors and Cindy Sridharan.
It’s “time to move on from DevOps and continuous delivery.” This was the provocative title of a recent article in ZDNet, in which Kelsey Hightower, staff developer advocate at Google Cloud Platform, suggested that “software shops should have put these concepts into action years ago.” Reading articles like this or listening to talks at most DevOps conferences might make you think that we’re entering a post-DevOps world. But vast numbers of organizations still struggle to start and drive transfo...
Let's do a visualization exercise. Imagine it's December 31, 2018, and you're ringing in the New Year with your friends and family. You think back on everything that you accomplished in the last year: your company's revenue is through the roof thanks to the success of your product, and you were promoted to Lead Developer. 2019 is poised to be an even bigger year for your company because you have the tools and insight to scale as quickly as demand requires. You're a happy human, and it's not just...
"Opsani helps the enterprise adopt containers, help them move their infrastructure into this modern world of DevOps, accelerate the delivery of new features into production, and really get them going on the container path," explained Ross Schibler, CEO of Opsani, and Peter Nickolov, CTO of Opsani, in this SYS-CON.tv interview at DevOps Summit at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA.