The New Norm for Modern Apps: Security Observability
Observability has burst onto the scene across all types of operational and security-focused activities. Its need is being driven by increased demands for businesses to be more responsive to changes and more proactive when dealing with potential problems. In particular, security observability holds the promise to help reduce the time to detect a cyberattack. And […]
TraceAI : Machine Learning Driven App and API Security
API security Modern applications are mobile first and are built around cloud-native distributed microservices architectures. These architectures have become the basic building blocks for complex and reliable distributed web and mobile applications. Many of these distributed APIs expose the business logic directly over the web; hence the attack surface and attack vectors are very different […]
Gotta Fix ‘Em All: AWS BugBust 2021
Software bugs are vexing. Code reviews and error finding aren’t a particularly fun part of a developer’s job description. Finding bugs is tedious, time-consuming and hard on your eyes. Bugs not only wreak havoc on your code, they wreak havoc on your day. But what if bashing bugs could earn you a payoff greater than […]
SREs Say AIOps Doesn’t Live Up to the Hype
What can you expect when investing in artificial intelligence for IT operations (AIOps)? Real-time visibility across huge volumes of information. Lightning-fast event correlation and anomaly detection. Automated remediation and self-healing, without Ops personnel having to lift a finger. It all sounds amazing—at least, if you believe the marketing hype. But do those kinds of AIOps […]
WSO2 Applies AI to API Management
WSO2 today unfurled a Choreo cloud platform through which DevOps teams can create and manage application programming interfaces (APIs) more efficiently by leveraging machine learning algorithms and other forms of artificial intelligence (AI). Eric Newcomer, WSO2 CTO, said the integration platform-as-a-service (iPaaS) eliminates all the tasks associated with setting up a platform for and managing […]
Harness Employs ML to Streamline DevOps Workflows
At the online {Unscripted} 2021 conference, Harness today announced an update to its namesake DevOps platform that includes support for feature flags that expose new capabilities to a select number of users for testing purposes along with the ability to prioritize the running of those tests based on the likelihood an application is likely to […]
Three Ways Machine Learning Can Change Incident Management
Incident management for important applications has many connotations, many of them negative. Most are well-deserved. Stress, panic, hurry, urgent, drop-everything, all-hands-on-deck, emergency, to name a few. Typically, there is a critical problem, ranging from complete failure to loss of certain functionality or performance. The problem or outage potentially means loss of revenue, loss of customers, […]
Do You Need a Cloud AI Engineer?
For all the technological advancements we are witnessing in AI and machine learning, the practical benefits remain elusive in the non-tech business world, frustrating decision-makers as AI investment climbs. For example, over the past several years, many Fortune 500 companies have invested in strong data science teams and AI labs, but still struggle when it comes […]
Enterprise ML Investments on the Rise
The second wave of enterprise artificial intelligence and machine learning (AI/ML) adoption is building, and is expected to crest in 2021, as many organizations increased and accelerated their investments in tools and people. That was one of the unmistakable conclusions of our 2021 enterprise trends in machine learning report: 83% of the companies we surveyed […]
The Evolution of Technology Driven Banking
History repeats itself with every technological revolution, sparking the same old fears about job loss and human redundancy. Much of this is unfounded because each time, when routine and repetitive jobs got mechanized, those who were displaced often were elevated into bigger, better roles. The pattern was consistent across industries; whether it was manufacturing, retail, […]
5 Best Machine Learning Use Cases
Many industries are struggling with the ongoing COVID-19 pandemic, and the IT industry itself and the broader trend of transition to remote work over the last year revealed many areas where traditional approaches to managing businesses created unnecessary waste. Data science and its counterpart, machine learning, revealed that expansion in the ways technology can facilitate […]
AI Automation Won’t Replace Jobs – It Will Replace Processes
As Software 2.0 takes shape, how are AI processes—and the jobs that go with them—changing? When it comes to new AI automation, the Software 2.0 movement can be seen as akin to the auto industry’s recent evolution. Beginning in the 1990s and rapidly progressing into the 2000s, the auto industry saw a huge rise in […]
How Cloud Data Platforms Help Enterprises Drive Business Value
Cloud data platforms make businesses more scalable and flexible and more cost-efficient The need for actionable data is nothing new. Enterprises spend time, money and resources working to get their data into a format that is usable for analytics. But most are still struggling to do just that. More than 90% of enterprises say that […]
Algorithmia Allies With Datadog on MLOps Observability
Algorithmia today launched a performance monitoring for machine learning (ML) model that tracks algorithm inference and operations metrics generated by the enterprise edition of its namesake platform for building these models. Company CEO Diego Oppenheimer said Algorithmia Insights provides a level of observability into ML models that DevOps teams have come to expect from applications. […]
Harness to Apply AI to DevOps
Harness, at its {Unscripted} 2020 conference today, announced its plans in the fourth quarter to make available as a beta a module that leverages machine learning algorithms to optimize build and test cycles on the Harness Continuous Integration (CI) Enterprise platform. At the same time, Harness is adding a beta of a Continuous Features module […]
MLOps: More Than Automation
Recently, there has been a lot of talk about MLOps from the DevOps and software engineering perspective. The message often comes across as, “Hurry, DevOps community, let’s set some standards before MLOps reinvents the wheel,” or “The purpose of MLOps is to allow anyone who knows how to code to get ML into production.” Let […]
Oracle Launches Observability Platform
Oracle, at its online Oracle Live event today, unveiled the Oracle Cloud Observability and Management Platform, which combines newly added logging, log analytics, database management, application performance monitoring, operations insights and service connector hub services with existing Oracle monitoring, notifications, events, functions, streaming and operating system management capabilities. Dan Koloski, vice president of product management […]
Snyk Acquires DeepCode to Apply AI to DevSecOps
Snyk today announced it has agreed to acquire DeepCode as part of an effort to apply artificial intelligence (AI) to DevSecOps. DeepCode has developed an interpretable machine learning semantic code analysis tool that scans code anywhere from 10 to 50 times faster than existing approaches. DeepCode currently supports Java, JavaScript, Python, TypeScript and C/C++ programming […]
Eggplant Employs AI to Surface Test Recommendations
Eggplant this week announced it has extended the capabilities of its application testing platform infused with machine and deep learning algorithms to now include recommendations to help improve tests. In addition, the latest update to the Digital Automation Intelligence (DAI) Platform makes it easier to onboard new members to an application testing team. Finally, Eggplant […]
The Role of AI, ML-Powered DevOps in Digital Transformation
Global businesses are in the midst of an enormous digital transformation wave. As we step into the realm of industry 4.0, exponential technologies are becoming a fundamental segment of traditional business settings. Despite having access to transformative technologies, however, many organizations fail to embrace disruption and harness their potential to stay ahead of the curve. […]
Algorithmia Looks to Meld MLOps and DevOps
Algorithmia, in the latest update to the enterprise edition of its namesake machine learning operations (MLOps) platform, is enabling software development lifecycle practices to be applied to the building of algorithms by making it possible to debug them using desktop tools that are widely employed. The enterprise edition of Algorithmia will enable users to write […]
AWS Brings Machine Learning to Code Optimization
Amazon Web Services (AWS) has made generally available a tool dubbed Amazon CodeGuru that employs machine learning algorithms to recommend ways to improve code quality and identify which lines of code are the most expensive to run on its cloud service. Peder Ulander, director of open source for AWS, said Amazon CodeGuru not only helps […]