As we've discussed in our previous Service Discovery post, decoupled services in a microservice architecture communicate via APIs. But what about the communication between clients outside of your system and the services within your application? How does that communication work? An API gateway is a powerful component in a microservice architecture. Pairing its functionality with a serverless platform like Koyeb saves engineering teams time and maximizes computing resources efficiency.

One of the most powerful capabilities provided by Kong Konnect Enterprise is the support for Hybrid deployments. In other words, it implements distributed API Gateway Clusters with multiple instances running on several environments at the same time. Moreover, Kong Enterprise provides a new topology option, named Hybrid Mode, with a total separation of the Control Plane (CP) and Data Plane (DP).

BDQ is a Zephyr Expert Partner and Atlassian Solution Partner based in London, England. Our core focus is ensuring that the Atlassian technology stack and Zephyr agile test management products deliver value to our customers through digital transformation. We provide consultancy, training, and workshops on implementing Zephyr Squad (previously known as Zephyr for Jira). Our goal is to empower teams to test effectively in agile scrum.

It’s been over a year since enterprises around the world had to pivot and transition to work-from-home setups. While some employees are slowly trickling back into the office, majority of organizations have people working both onsite and offsite. This modern workforce has brought out an increasing reliance on cloud infrastructure, an essential tool for collaboration and business continuity. Technology like this isn’t without its risks though.

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).

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?

We believe latency and caching are crucial subjects we need to talk about. Loading times are a critical component in the user's experience for all apps and websites: new pages and screens should load in less than a second for end-users to have a smooth experience.

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.

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.

The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse, Machine Learning, Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment.

In this article, I will be focusing on the contribution that a multi-cloud strategy has towards these value drivers, and address a question that I regularly get from clients: Is there a quantifiable benefit to a multi-cloud deployment? That question is typically being asked when I explain the ability to leverage container technology that offers a consistent deployment environment across multiple clouds and form factors (public, private, or hybrid cloud).