As we discussed in the previous section API versioning isn’t as simple as having running different services to handle the different versions, whereby each service processes each version independently of the other. With Kubernetes, your controller watches the state of an object in etcd, that stored object is versioned to a single value (i.e. only 1 version is ever stored at a time), and when you set-up a watch on the resource whichever version you ask for is the version you will get.
Therefore, when writing a k8s operator, there are a set of requirements and conventions we need to be aware of to ensure that we’re able to progress the software development lifecycle of the API specification and the controller versions in a robust manner.
The landscape of AI and compute-intensive applications underwent a significant transformation with Google Cloud's latest innovation. On August 21, 2024, Google Cloud launched the public preview of Cloud Run with GPUs, a feature that integrated the power of NVIDIA L4 GPUs into the serverless Cloud Run platform.
This new offering is more than just an incremental upgrade—it represented a major advance in how developers could harness the power of AI inference and handle resource-intensive tasks with greater efficiency on Google Cloud.
Tired of AI responses that miss the mark? Struggling to get the results you need? The key to unlocking AI's true power is in your hands – through crafting the perfect prompt. Mastering this skill will revolutionise how you brainstorm, create, and tackle challenges.
At Mesoform, we're passionate about AI's potential to transform your workflow and creative process. We're here to guide you on your AI journey, empowering you with the knowledge and tools to harness its full capabilities. Get ready to unleash new levels of productivity, creativity, and innovation in your business.
Bridging the Gap: DevOps, SRE, and the Cybersecurity Imperative
The tech world is a fast-paced arena, and staying ahead of the curve demands seamless collaboration. Development (Dev) and Operations (Ops) teams have long recognised the power of joining forces in a DevOps approach. Now, Site Reliability Engineering (SRE) adds another layer to this dynamic duo, with a laser focus on building reliable and scalable systems. But in this age of digital transformation, there's a third player demanding equal attention: Cybersecurity.
Mesoform's State of the Union report dives deep into this interconnected landscape. We're not just talking about tools and technologies – this report explores the people and the cultures that make these systems tick. From how teams are structured and how they communicate to the very foundations of their technology choices, we'll uncover the hidden links between DevOps, SRE, and the ever-present need for security.
If you're in the IT world, you've probably heard whispers of "platform engineering". But is it just another buzzword, or is it something more? Let me tell you, this is one trend you don't want to miss.
When working with Kubernetes, we all frequently make calls to retrieve or create resources. Whenever we run kubectl apply
or kubectl get
, we are requesting that an object be added to or retrieved from the database. When we write a manifest, we always include an apiVersion
attribute but what does this mean and how does Kubernetes respond to different values?
This episode's musings are about the negative effects of the positive attributes of generative AI
In this edition of Tech Musings, we will delve into the world of cybersecurity, exploring a few useful security decisions we recommend to our valued clients and some future trends and predictions we see in the industry. In an increasingly interconnected digital landscape, protecting sensitive data and safeguarding online assets have become paramount for individuals and organisations alike. With cyber threats evolving at an alarming rate, making informed security choices is no longer optional - it's a necessity.
This episode's musings are about security-in-depth with a daft analogy of Google Cloud's VPC Service Controls. Making use of multiple technologies to secure your IT.
This episode's thoughts are around project to product transformation - a white paper by Ross Clanton and Amy Walters:
In the fast-paced and interconnected digital landscape, the complexity of managing diverse IT systems and networks has surged. To tackle this challenge, organisations are increasingly turning to centralised monitoring, a robust approach that provides a unified and comprehensive view of their entire infrastructure. Centralised monitoring involves consolidating the monitoring of various components, systems, cloud environments and applications into a centralised platform, offering real-time insights and analytics. This shift from siloed monitoring to a centralised model is driven by the need for enhanced visibility, proactive issue detection, and overall operational efficiency.
In the dynamic world of digital innovation, securing a scalable app deployment remains a formidable challenge. Our recent work for a crypto trading startup mirrors this pursuit: the quest for a robust, lightweight, and highly secure architecture for a trading app. This challenge reflects the industry's demand for fortified security amidst a landscape rife with potential threats. In this particular project, Mesoform was employed, not only to provide site reliability, cloud and DevOps engineering but a complete technical architecture and technology management over the whole project. Guiding platform engineering, software engineering and DevOps, as well as architecture and UI design, our holistic approach aimed to optimise project performance and functionality in order to deploy a Crypto Trading App for a crypto trading startup.
In this particular project, Mesoform was employed, not only to provide site reliability, cloud and DevOps engineering but a complete technical architecture and technology management over the whole project. Guiding platform engineering, software engineering and DevOps, as well as architecture and UI design, our holistic approach aimed to optimise project performance and functionality in order to deploy a Crypto Trading App for ProTraders.
In this particular project, Mesoform was employed, not only to provide site reliability, cloud and DevOps engineering but a complete technical architecture and technology management over the whole project. Guiding platform engineering, software engineering and DevOps, as well as architecture and UI design, our holistic approach aimed to optimise project performance and functionality in order to deploy a Crypto Trading App for a crypto trading startup.
Mesoform Joins Google Cloud Partner Advantage Program
Bringing with them years of experience migrating and running enterprise-grade services on Google Cloud
London, 22nd May 2020 — Mesoform, today announced that it has joined the Google Cloud Partner Advantage Program as a service partner, giving Google Cloud customers approved access to their years of experience, piloting and scaling solutions on Google Cloud.
As a Google Cloud partner, Mesoform offers services in architecture, engineering and organisational DevOps transformations. Mesoform has worked with clients in major industries such as finance, telecoms and government. They provide key benefits and expertise in various areas including:
We’ve spent the last three years working closely with a very large financial client to start their migration journey and expand their growth on Google Cloud. Collaborating with Google Cloud engineers on a number of early adopter programs was a great experience and very productive. So today is a really exciting time for Mesoform, to finally become a direct Google Cloud partner, I’m really looking forward to further projects we can work on together. - Gareth Brown, Mesoform founder
If you are looking to begin your Google Cloud journey, or simply to improve how you operate on Google Cloud, Mesoform can help. Reach out to Mesoform at This email address is being protected from spambots. You need JavaScript enabled to view it. for a free consultation.
Analyst(s):
Anne Thomas, Aashish GuptaCommercial Java Platform, Enterprise Edition (Java EE) platforms' revenue declined in 2015, indicating a clear shift in the application platform market. Digital business initiatives require new features and capabilities in application platforms, and Java EE has failed to keep pace.
The market is becoming more diverse as vendors and open-source communities produce innovative and specialized platforms to support modern application requirements.
Application platform as a service (aPaaS) revenue is currently less than half of application platform software revenue, but aPaaS is growing at an annual rate of 18.5%, and aPaaS sales will supersede platform software sales by 2023.
Application leaders responsible for modernizing application infrastructure should:
Since 2010, Optoro has used Amazon Web Services (AWS) as its cloud-computing provider. We relied on them to supply the horsepower needed to drive our IT resources and applications. However, after some hard analysis, we decided to move away from the AWS and onto our own infrastructure. At a time when so many SaaS’s/IaaS’s/PaaS’s exist, why would we decide to run a data-center’s worth of gear? AWS has been a large drain on our budget at scale, and we wanted a more cost-efficient solution.
In the realm of modern software, the discourse surrounding development methodologies is ceaselessly evolving. Below we're going to have a look at an insightful article by Richard Seroter, titled "The Modernisation Imperative: Shifting left is for suckers. Shift down instead", and how it adds an intriguing dimension to the concept of "shifting left" because of the unrealistic burden now being applied to developers. Mesoform will be looking at this to highlight valuable insights that can potentially reshape and refine our approach to software development practices.
Source: Dynatrace
Recently there’s been a number of big changes to Atlassian Cloud products. A few, even became free or bundled with other price plans. Arguably, all are good products, some you may say are great in their space. As all of this has rolled out, they’ve sent out quite a few emails and one of the recent emails got me thinking about a tutorial I wrote a while back about how to manage DevOps work streams in the context of Agile sprints and Agile software, like Jira and Confluence. This made me want to write an update to this article and see how the idea has stood the test of time and different work environments as I've introduced it for other clients.
Join us in connecting the dots between Platform Engineering, DevOps, and SRE.
We always want to share the knowledge of the best practices and methodologies applicable to software development and delivery, and today is no different!
Join us in connecting the dots between Platform Engineering, DevOps, and SRE. Don’t miss our insightful blog.
In the rapidly evolving landscape of modern applications, Application Programming Interfaces (APIs) play a pivotal role in enabling connectivity and functionality. However, as the reliance on APIs grows, so do the security risks associated with them. To address these concerns, the Open Web Application Security Project (OWASP) released the "API Security Top 10" 2023, a comprehensive list of the most critical API security risks. This year they released the 2023 update to those risks, this blog explores the key findings and recommendations.
Explore SRE (Site Reliability Engineering): Your guide to understanding Site Reliability Engineering’s transformative impact on software management.
Wondering how DevOps can transform software development? Discover expert solutions to streamline processes and optimise collaboration.
Managing value-driven, cross-functional (ValCro) projects in JIRA can be challenging to keep everything cleanly wrapped up together. Here's a proven idea which may work for you too.
So going back a few years, I was working at a software company where IT Operations was in the common situation of constantly playing catchup with Agile software development. We were already hammering home DevOps processes like tight feeback loops, sharing, learning and automation but collaboration was still a problem. Mostly around communicating around interdependant work, forward planning any work dependencies and keeping semi-automated, low-effort reports across teams.