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In a global economy where innovators increasingly win big, too many enterprises are stymied by legacy application systems. Modernising with GenAI Modernising the application stack is therefore critical and, increasingly, businesses see GenAI as the key to success. The solutionGenAIis also the beneficiary.
Opsera, a startup that’s building an orchestration platform for DevOps teams, today announced that it has raised a $15 million Series A funding round led by Felicis Ventures. With this, Opsera essentially aims to help teams set up and operate their various DevOps tools. Image Credits: Opsera.
It is common for people to confuse these two prominent career options – DevOps Engineer and Software Engineer. A software engineer can produce a wide variety of software, from gaming applications to middleware. A mobile application developer. Role of DevOps Engineer. A mobile application developer.
Since the introduction of simple applications to the market, DevOps teams have faced increasing demands in terms of speed, efficiency, and application reliability.
Speaker: Nico Krüger, Senior Director of Solutions Engineering at Rollbar
How is your organization’s DevOps doing? DevOps Research and Assessment (DORA) has identified four key metrics to help organizations understand where their DevOps stands and how it can reach an elite level of performance. Do you have strategies to both identify problems and improve performance?
As businesses grow and cloud systems get more complex, traditional DevOps methods struggle to keep up with fast changes. This new technology is changing how applications are made and used. AI has become a crucial partner for DevOps teams that aim for agility and strength in a rapidly changing cloud world.
Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. This strategy results in more robust, versatile, and efficient applications that better serve diverse user needs and business objectives. In this post, we provide an overview of common multi-LLM applications.
It may surprise you, but DevOps has been around for nearly two decades. Driven by the development community’s desire for more capabilities and controls when deploying applications, DevOps gained momentum in 2011 in the enterprise with a positive outlook from Gartner and in 2015 when the Scaled Agile Framework (SAFe) incorporated DevOps.
Instabug today revealed it has added an ability to both analyze mobile application crash report data and source code, to better pinpoint the root cause of issues accurately, which it then feeds into a proprietary generative artificial intelligence (AI) platform, dubbed SmartResolve, that automatically generates the code needed to resolve it.
Security teams need visibility into their applications, infrastructure, and network, while development and operations teams need the ability to secure the services they own.
Dagger, which was co-founded by Hykes and his fellow Docker alums Sam Alba and Andrea Luzzardi , aims to build what the team calls a “devops operating system.” The co-founders went looking for problems they could solve for the developer community and it quickly became clear to them that the DevOps process remains a bottleneck.
“Enterprises invest in Salesforce because it can so easily be adapted to meet exact business requirements … [b]ut their teams building on the platform find it hard to deliver business-critical applications and improvements in a way that’s timely, secure, or sustainable,” Boyle told TechCrunch in an email interview.
Two things play an essential role in a firm’s ability to adapt successfully: its data and its applications. Which is why modernising applications is so important, especially for traditional businesses – they need to keep pace with the challenges facing trade and commerce nowadays. That’s why the issue is so important today.
Infrastructure as code (IaC) has been gaining wider adoption among DevOps teams in recent years, but the complexities of data center configuration and management continue to create problems — and opportunities. Overall, they see a lot of room for growth given all of the manual work still done by DevOps teams across organizations of all sizes.
Speaker: Daniel "spoons" Spoonhower, CTO and Co-Founder at Lightstep
Many engineering organizations have now adopted microservices or other loosely coupled architectures, often alongside DevOps practices. However, this increased velocity often comes at the cost of overall application performance or reliability.
Micro-frontend is a new and effective approach to building data-dense or heavy applications as well as websites. Building micro-frontend applications enables monolithic applications to divide into smaller, independent units.
TL;DR: Chancing the narrative on GitHub Copilot from focus on engineers to focus on a sturdy (DevOps) foundation to be able to go faster. Use what works for your application. Were constantly busy with describing the changes we want to make to the application, and have to translate user requests into actionable descriptions.
research firm Vanson Bourne to survey 650 global IT, DevOps, and Platform Engineering decision-makers on their enterprise AI strategy. However, many face challenges finding the right IT environment and AI applications for their business due to a lack of established frameworks. Nutanix commissioned U.K.
The DevOps ecosystem of today is becoming increasingly more complex. As development teams grapple with the challenge of modernizing their DevOps toolchains, a number of concerns and challenges have followed closely behind. Chief among those challenges? What’s the state of DevSecOps today?
CIOs are under pressure to accommodate the exponential rise in inferencing workloads within their budgets, fueled by the adoption of LLMs for running generative AI -driven applications. Analysts believe that the frameworks will be a boon for CIOs and help solve challenges around building agents or agentic applications.
A Rocket Software survey found that over half (51%) of IT leaders rely on mainframe systems to handle all, or nearly all, core business applications. Organizations need to establish processes for continuous monitoring in application development to ensure that vulnerabilities are spotted quickly and addressed before an attacker can break in.
To fully benefit from AI, organizations must take bold steps to accelerate the time to value for these applications. In leveraging Verta’s platform, Cloudera is now equipped to simplify the process of bolstering customers’ private datasets to build custom retrieval-augmented generation (RAG) and fine-tuning applications.
Infrastructure as Code (IaC) and DevOps have come together to completely reshape the cloud landscape over the last few years. For the uninitiated, IaC is a fundamental DevOps practice – a core component of continuous delivery. has everything Terraform offered to DevOps and DevSecOps practitioners.
But with time, enterprises overcame their skepticism and moved critical applications to the cloud. DevOps fueled this shift to the cloud, as it gave decision-makers a sense of control over business-critical applications hosted outside their own data centers.
Two things play an essential role in a firms ability to adapt successfully: its data and its applications. Which is why modernising applications is so important, especially for traditional businesses they need to keep pace with the challenges facing trade and commerce nowadays. Thats why the issue is so important today.
In one example, BNY Mellon is deploying NVIDIAs DGX SuperPOD AI supercomputer to enable AI-enabled applications, including deposit forecasting, payment automation, predictive trade analytics, and end-of-day cash balances. GenAI is also helping to improve risk assessment via predictive analytics.
Salesforce DevOps is revolutionizing the application lifecycle management (ALM) process by unifying development and operations. Through tools like DevOps Center, CI/CD integrations, and source control systems, teams can collaborate more effectively, automate repetitive tasks, and deliver higher-quality releases faster.
The way applications are built, deployed, and managed today is completely different from ten years ago. Initially, our industry relied on monolithic architectures, where the entire application was a single, simple, cohesive unit. SOA decomposed applications into smaller, independent services that communicated over a network.
First, we will see what Redis is and its usage, as well as why it is suitable for modern complex microservice applications. We will talk about how Redis supports storing multiple data formats for different purposes through its modules. Next, we will see how Redis, as an in-memory database, can persist data and recover from data loss.
By automating the deployment of Sitecore hotfixes with an Azure DevOps pipeline, you can ensure faster, more reliable updates while reducing human error and minimizing downtime. In this post, well walk you through how to automate this process using Azure DevOps. Ensure the web application name is correctly configured in the pipeline.
Ensuring the stability and correctness of Kubernetes infrastructure and application deployments can be challenging due to the dynamic and complex nature of containerized environments.
Transformational CIOs continuously invest in their operating model by developing product management, design thinking, agile, DevOps, change management, and data-driven practices. SAS CIO Jay Upchurch says successful CIOs in 2025 will build an integrated IT roadmap that blends generative AI with more mature AI strategies.
“We believe the increase in valuation over the past year reflects the progress of our complete DevOps platform towards realizing a greater share of the growing, multi-billion dollar software development market,” he told TechCrunch. GitLab hauls in $268M Series E on 2.75B valuation. ’
A study coming out of Stanford University conducted by software engineering productivity specialist Yegor Denisov-Blanch claims that developer teams are rife with so-called ghost engineers who do virtually no work.
Introduction As organizations scale their DevOps practices, the need for efficient resource management and automation becomes critical. These pipelines require a complex set of tools installed on self-hosted Azure DevOps agents. KEDA in the Context of Azure DevOps Agent Pools For scenarios like my own. What exactly is KEDA?
As a company founded by data scientists, Streamlit may be in a unique position to develop tooling to help companies build machine learning applications. Data scientists can download the open-source project and build a machine learning application, but it requires a certain level of technical aptitude to make all the parts work.
In Nutanix’s recent Enterprise Cloud Index (ECI) – which surveyed 1,500 IT, DevOps , and platform engineering leaders globally – over 80% of organizations viewed hybrid IT as essential for managing applications and data. This is prompting the CIO shift to hybrid and multicloud.
Tests and static analysis are essential to software development pipelines, and this holds true for both traditional and cloud-native applications. Even though tests are irreplaceable, critical errors still reach production, while customers are waiting on the seamless experience they were promised (right before their application breaks ).
NeuraLegion , a startup that focuses on dynamic application security testing and identifying business logic issues, today announced that it has changed its name to Bright Security. Application security platform NeuraLegion raises $4.7 By the time the team raised its $4.7 The company says over 4,000 oreganizations now use its products.
It takes everything, including really good observability and monitoring, so that you know exactly which application is consuming what resource, and then even finer levels of granularity about microservices within those applications. Theres no single way to have an optimized cloud spend, he says.
How AI-powered DevOps is setting new standards for efficiency By Matthew Smith Posted in Operations Published on: March 26, 2025 Last update: March 26, 2025 Software development should be fast, but for many teams, it still feels like wading through quicksand. DevOps was meant to speed things up, but inefficiencies remain.
But the winds are shifting, and these suites are increasingly finding a place in DevOps and security. Initially, no-code/low-code was primarily a way for non-technical builders to create (sometimes gimmicky) applications,” said Navin Chaddha, managing director at VC firm Mayfield. Ganesh Bell, Insight Partners.
Improving IT operations with AIOps and ServiceOps Jason Rush , senior director, DevOps at BMC, and his team that supports BMC software-as-a-service (SaaS) customers, were dealing with an extremely high volume of alerts and needed better ways to handle incidents.
Not only can you create a web application from a spreadsheet, you can pull data from a variety of sources to create a sophisticated business application automatically (although some tweaking may be required). The company is remote first with Skelly in London and his co-founder based in Geneva and they intend to stay that way.
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