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Cloud

Devops and the need for cloud based solutions

DevOps and cloud-based computing have existed in our life for some time now. These both can be regarded as the latest techs in the arsenal of information technology. Thinking back on how SDLC started and what it is today, the only reasons for its success can be accounted to efficiency, speed and most importantly automation – DevOps and cloud-based solutions can be considered major contributors here (after all DevOps is 41% less time-consuming than traditional ops).

Achieving a Cloud-First Strategy with APIs

As many organizations push forward in adopting cloud-first strategies, issues often arise with addressing how their suite of applications and systems can remain integrated securely and efficiently. Whilst the movement to the cloud was a huge step in technological advancement, advancements in API technology now make “hybrid cloud” models possible, and businesses exist both in the cloud and on premises.

How to Use Product Analytics for SaaS Sales Pitches

Imagine you are preparing to approach a prospective client. You have done all the market research needed to understand the edge your product or service has over your competitors. You have identified your niche for higher profitability and you have profiled the key decision-makers that will be targeted by your outreach campaign. Would you like your pitch to fall flat just because you did not dazzle the prospect?

5 Reasons to Use Heroku and ETL

ETL tools and Heroku Connect both offer bidirectional data connections to Salesforce. So it would be natural to assume that you only need one or the other for your Salesforce integration. But, in fact, each tool has its own particular strengths that make the two systems complementary. Heroku is a software development platform and cloud service provider that empowers developers who build, deploy and scale web applications.

Key considerations when making a decision on a Cloud Data Warehouse

Making a decision on a cloud data warehouse is a big deal. Beyond there being a number of choices each with very different strengths, the parameters for your decision have also changed. Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform.

Scaling Service Mesh Across Clouds

In the traditional datacenter, distributed workloads simply existed across multiple datacenters. As businesses evolve their applications in the cloud native era, this degree of distribution scales as well. Workloads landing in multiple VPCs grow in commonality, and in many cases exist between cloud environments. In this Destination: Scale session, Cody De Arkland - Principal Technical Marketing Engineer, Service Mesh, Office of the CTO - shows how Kuma provides a method to connect these applications through its advanced multi-zone capabilities, and how this model enables global scale.

ThoughtSpot Analytics Cloud

Get consumer-grade analytics for your modern data stack. ThoughtSpot empowers everyone to create, consume, and operationalize data-driven insights. Our consumer-grade search and AI technology delivers true self-service analytics that anyone can use, while our developer-friendly platform ThoughtSpot Everywhere makes it easy to build interactive data apps that integrate with your existing cloud ecosystem.